Experts and Thought Leaders in Statistics
- cognitive neuroscience (31 public profiles)
- bioinformatics (23 public profiles)
- statistics and probability (22 public profiles)
- health informatics (19 public profiles)
- statistics, probability and uncertainty (16 public profiles)
- statistics (14 public profiles)
- data analysis (10 public profiles)
- statistical and nonlinear physics (5 public profiles)
- numerical analysis (5 public profiles)
- analysis (5 public profiles)
- data analytics (4 public profiles)
- analytics (4 public profiles)
- disease modeling (3 public profiles)
- biostatistics (3 public profiles)
- user experience research (2 public profiles)
- surveys (2 public profiles)
- statistical analysis (2 public profiles)
- risk management (2 public profiles)
- evaluation (2 public profiles)
Tim Osswald
Polymers Professor - University of Wisconsin
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117 total publications
Analysis of fiber damage mechanisms during processing of reinforced polymer melts
Engineering Analysis with Boundary Elements / Jul 01, 2002
Hernandez, J. P., Raush, T., Rios, A., Strauss, S., & Osswald, T. A. (2002). Analysis of fiber damage mechanisms during processing of reinforced polymer melts. Engineering Analysis with Boundary Elements, 26(7), 621–628. https://doi.org/10.1016/s0955-7997(02)00018-8
Jo Boaler
Professor of Mathematics Education, Stanford University
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81 total publications
Obituary
Journal of Fluency Disorders / Jun 01, 2015
Obituary. (2015). Journal of Fluency Disorders, 44, 96. https://doi.org/10.1016/s0094-730x(15)00047-9
Kevin Parker
Comprehensive background in Computer Science, Information Systems, and IT with a PhD in MIS and a BA and MS in Computer Science. Extensive experience as an expert witness.
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Other Research Interests (9)
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11 total publications
The Role of Culture in Business Intelligence
International Journal of Business Intelligence Research / Jul 01, 2010
Park, J., Fables, W., Parker, K. R., & Nitse, P. S. (2010). The Role of Culture in Business Intelligence. International Journal of Business Intelligence Research, 1(3), 1–14. https://doi.org/10.4018/jbir.2010070101
Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
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Most Relevant Publications (6+)
207 total publications
Jot: guiding journal selection with suitability metrics
Journal of the Medical Library Association / Dec 08, 2022
Gaffney, S. G., & Townsend, J. P. (2022). Jot: guiding journal selection with suitability metrics. Journal of the Medical Library Association, 110(3), 376–380. https://doi.org/10.5195/jmla.2022.1499
PathScore: a web tool for identifying altered pathways in cancer data
Bioinformatics / Aug 08, 2016
Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512
H-CLAP: hierarchical clustering within a linear array with an application in genetics
Statistical Applications in Genetics and Molecular Biology / Jan 01, 2015
Ghosh, S., & Townsend, J. P. (2015). H-CLAP: hierarchical clustering within a linear array with an application in genetics. Statistical Applications in Genetics and Molecular Biology, 14(2). https://doi.org/10.1515/sagmb-2013-0076
AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification
Bioinformatics / Jun 03, 2013
Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284
LOX: inferring Level Of eXpression from diverse methods of census sequencing
Bioinformatics / Jun 10, 2010
Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303
HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0
Journal of Biomedical Informatics / Oct 01, 2008
Cheung, K.-H., Yip, K. Y., Townsend, J. P., & Scotch, M. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics, 41(5), 694–705. https://doi.org/10.1016/j.jbi.2008.04.001
Suhang Wang
Professor at Pennsylvania State University
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Most Relevant Publications (4+)
92 total publications
Learning Word Representations for Sentiment Analysis
Cognitive Computation / Aug 17, 2017
Li, Y., Pan, Q., Yang, T., Wang, S., Tang, J., & Cambria, E. (2017). Learning Word Representations for Sentiment Analysis. Cognitive Computation, 9(6), 843–851. https://doi.org/10.1007/s12559-017-9492-2
Discriminative graph regularized extreme learning machine and its application to face recognition
Neurocomputing / Feb 01, 2015
Peng, Y., Wang, S., Long, X., & Lu, B.-L. (2015). Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing, 149, 340–353. https://doi.org/10.1016/j.neucom.2013.12.065
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning
Neural Networks / May 01, 2015
Peng, Y., Lu, B.-L., & Wang, S. (2015). Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning. Neural Networks, 65, 1–17. https://doi.org/10.1016/j.neunet.2015.01.001
Popularity prediction on vacation rental websites
Neurocomputing / Oct 01, 2020
Li, Y., Wang, S., Ma, Y., Pan, Q., & Cambria, E. (2020). Popularity prediction on vacation rental websites. Neurocomputing, 412, 372–380. https://doi.org/10.1016/j.neucom.2020.05.092
Jim Samuel
Associate Professor at Rutgers University
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44 total publications
Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics
Healthcare / Aug 27, 2021
Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110
Laurence Steinberg
Distinguished Professor and Expert in Family, Adolescence, and Psychology
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99 total publications
Cognitive and affective development in adolescence
Trends in Cognitive Sciences / Feb 01, 2005
Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Sciences, 9(2), 69–74. https://doi.org/10.1016/j.tics.2004.12.005
Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry
Developmental Science / Dec 15, 2010
Chein, J., Albert, D., O’Brien, L., Uckert, K., & Steinberg, L. (2010). Peers increase adolescent risk taking by enhancing activity in the brain’s reward circuitry. Developmental Science, 14(2), F1–F10. https://doi.org/10.1111/j.1467-7687.2010.01035.x
The dual systems model: Review, reappraisal, and reaffirmation
Developmental Cognitive Neuroscience / Feb 01, 2016
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016). The dual systems model: Review, reappraisal, and reaffirmation. Developmental Cognitive Neuroscience, 17, 103–117. https://doi.org/10.1016/j.dcn.2015.12.010
A behavioral scientist looks at the science of adolescent brain development
Brain and Cognition / Feb 01, 2010
Steinberg, L. (2010). A behavioral scientist looks at the science of adolescent brain development. Brain and Cognition, 72(1), 160–164. https://doi.org/10.1016/j.bandc.2009.11.003
Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation
Developmental Science / Feb 01, 2017
Steinberg, L., Icenogle, G., Shulman, E. P., Breiner, K., Chein, J., Bacchini, D., Chang, L., Chaudhary, N., Giunta, L. D., Dodge, K. A., Fanti, K. A., Lansford, J. E., Malone, P. S., Oburu, P., Pastorelli, C., Skinner, A. T., Sorbring, E., Tapanya, S., Tirado, L. M. U., … Takash, H. M. S. (2017). Around the world, adolescence is a time of heightened sensation seeking and immature self-regulation. Developmental Science, 21(2), e12532. Portico. https://doi.org/10.1111/desc.12532
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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106 total publications
A Model of Text for Experimentation in the Social Sciences
Journal of the American Statistical Association / Jul 02, 2016
Roberts, M. E., Stewart, B. M., & Airoldi, E. M. (2016). A Model of Text for Experimentation in the Social Sciences. Journal of the American Statistical Association, 111(515), 988–1003. https://doi.org/10.1080/01621459.2016.1141684
Stochastic blockmodels with a growing number of classes
Biometrika / Apr 17, 2012
Choi, D. S., Wolfe, P. J., & Airoldi, E. M. (2012). Stochastic blockmodels with a growing number of classes. Biometrika, 99(2), 273–284. https://doi.org/10.1093/biomet/asr053
Quantitative visualization of alternative exon expression from RNA-seq data
Bioinformatics / Jan 22, 2015
Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks
Journal of the American Statistical Association / Jun 30, 2020
Forastiere, L., Airoldi, E. M., & Mealli, F. (2020). Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks. Journal of the American Statistical Association, 116(534), 901–918. https://doi.org/10.1080/01621459.2020.1768100
Asymptotic and finite-sample properties of estimators based on stochastic gradients
The Annals of Statistics / Aug 01, 2017
Toulis, P., & Airoldi, E. M. (2017). Asymptotic and finite-sample properties of estimators based on stochastic gradients. The Annals of Statistics, 45(4). https://doi.org/10.1214/16-aos1506
Improving and Evaluating Topic Models and Other Models of Text
Journal of the American Statistical Association / Oct 01, 2016
Airoldi, E. M., & Bischof, J. M. (2016). Improving and Evaluating Topic Models and Other Models of Text. Journal of the American Statistical Association, 111(516), 1381–1403. https://doi.org/10.1080/01621459.2015.1051182
Model-assisted design of experiments in the presence of network-correlated outcomes
Biometrika / Aug 06, 2018
Basse, G. W., & Airoldi, E. M. (2018). Model-assisted design of experiments in the presence of network-correlated outcomes. Biometrika, 105(4), 849–858. https://doi.org/10.1093/biomet/asy036
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
Statistics in Medicine / Jan 01, 2017
Lunceford, J. K. (2017). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine. Portico. https://doi.org/10.1002/sim.7231
The proximal Robbins–Monro method
Journal of the Royal Statistical Society: Series B (Statistical Methodology) / Dec 09, 2020
Toulis, P., Horel, T., & Airoldi, E. M. (2020). The proximal Robbins–Monro method. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83(1), 188–212. Portico. https://doi.org/10.1111/rssb.12405
Testing for arbitrary interference on experimentation platforms
Biometrika / Sep 30, 2019
Pouget-Abadie, J., Saint-Jacques, G., Saveski, M., Duan, W., Ghosh, S., Xu, Y., & Airoldi, E. M. (2019). Testing for arbitrary interference on experimentation platforms. Biometrika, 106(4), 929–940. https://doi.org/10.1093/biomet/asz047
Geometric Representations of Random Hypergraphs
Journal of the American Statistical Association / Jan 02, 2017
Lunagómez, S., Mukherjee, S., Wolpert, R. L., & Airoldi, E. M. (2017). Geometric Representations of Random Hypergraphs. Journal of the American Statistical Association, 112(517), 363–383. https://doi.org/10.1080/01621459.2016.1141686
Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study
Journal of Medical Internet Research / Oct 30, 2020
Janmohamed, K., Soale, A.-N., Forastiere, L., Tang, W., Sha, Y., Demant, J., Airoldi, E., & Kumar, N. (2020). Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study. Journal of Medical Internet Research, 22(10), e21743. https://doi.org/10.2196/21743
Scalable estimation strategies based on stochastic approximations: classical results and new insights
Statistics and Computing / Jun 11, 2015
Toulis, P., & Airoldi, E. M. (2015). Scalable estimation strategies based on stochastic approximations: classical results and new insights. Statistics and Computing, 25(4), 781–795. https://doi.org/10.1007/s11222-015-9560-y
Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology
Journal of the American Statistical Association / Jan 02, 2015
Franks, A. M., Csárdi, G., Drummond, D. A., & Airoldi, E. M. (2015). Estimating a Structured Covariance Matrix From Multilab Measurements in High-Throughput Biology. Journal of the American Statistical Association, 110(509), 27–44. https://doi.org/10.1080/01621459.2014.964404
Generalized Species Sampling Priors With Latent Beta Reinforcements
Journal of the American Statistical Association / Oct 02, 2014
Airoldi, E. M., Costa, T., Bassetti, F., Leisen, F., & Guindani, M. (2014). Generalized Species Sampling Priors With Latent Beta Reinforcements. Journal of the American Statistical Association, 109(508), 1466–1480. https://doi.org/10.1080/01621459.2014.950735
Estimating Latent Processes on a Network From Indirect Measurements
Journal of the American Statistical Association / Mar 01, 2013
Airoldi, E. M., & Blocker, A. W. (2013). Estimating Latent Processes on a Network From Indirect Measurements. Journal of the American Statistical Association, 108(501), 149–164. https://doi.org/10.1080/01621459.2012.756328
Multi-way blockmodels for analyzing coordinated high-dimensional responses
The Annals of Applied Statistics / Dec 01, 2013
Airoldi, E. M., Wang, X., & Lin, X. (2013). Multi-way blockmodels for analyzing coordinated high-dimensional responses. The Annals of Applied Statistics, 7(4). https://doi.org/10.1214/13-aoas643
Confidence sets for network structure
Statistical Analysis and Data Mining / Sep 09, 2011
Airoldi, E. M., Choi, D. S., & Wolfe, P. J. (2011). Confidence sets for network structure. Statistical Analysis and Data Mining, 4(5), 461–469. https://doi.org/10.1002/sam.10136
Ranking relations using analogies in biological and information networks
The Annals of Applied Statistics / Jun 01, 2010
Silva, R., Heller, K., Ghahramani, Z., & Airoldi, E. M. (2010). Ranking relations using analogies in biological and information networks. The Annals of Applied Statistics, 4(2). https://doi.org/10.1214/09-aoas321
Who wrote Ronald Reagan's radio addresses?
Bayesian Analysis / Jun 01, 2006
Airoldi, E. M., Anderson, A. G., Fienberg, S. E., & Skinner, K. K. (2006). Who wrote Ronald Reagan’s radio addresses? Bayesian Analysis, 1(2). https://doi.org/10.1214/06-ba110
Panos Ipeirotis
Professor at New York University
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97 total publications
Statistical considerations for crowdsourced perceptual ratings of human speech productions
Journal of Applied Statistics / Nov 14, 2018
Fernández, D., Harel, D., Ipeirotis, P., & McAllister, T. (2018). Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics, 46(8), 1364–1384. https://doi.org/10.1080/02664763.2018.1547692
Introduction to the Special Issue on EC’12
ACM Transactions on Economics and Computation / Mar 27, 2015
Leyton-Brown, K., & Ipeirotis, P. (Eds.). (2015). Introduction to the Special Issue on EC’12. ACM Transactions on Economics and Computation, 3(1), 1–2. https://doi.org/10.1145/2742678
Christos Makridis
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
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25 total publications
Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans
JMIR Medical Informatics / Jun 02, 2021
Makridis, C., Hurley, S., Klote, M., & Alterovitz, G. (2021). Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans. JMIR Medical Informatics, 9(6), e28921. https://doi.org/10.2196/28921
Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans
Computers in Biology and Medicine / Jun 01, 2021
Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354
Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs
BMJ Health & Care Informatics / Jun 01, 2021
Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312
Yseult Héjja-Brichard, Ph.D.
Postdoctoral researcher in Biological Sciences at University of Maryland Baltimore County
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11 total publications
Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex
Cerebral Cortex / Jan 19, 2017
Cottereau, B. R., Smith, A. T., Rima, S., Fize, D., Héjja-Brichard, Y., Renaud, L., Lejards, C., Vayssière, N., Trotter, Y., & Durand, J.-B. (2017). Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex. Cerebral Cortex. https://doi.org/10.1093/cercor/bhw412
Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys
Cerebral Cortex / Oct 17, 2020
De Castro, V., Smith, A. T., Beer, A. L., Leguen, C., Vayssière, N., Héjja-Brichard, Y., Audurier, P., Cottereau, B. R., & Durand, J. B. (2020). Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys. Cerebral Cortex, 31(2), 1347–1364. https://doi.org/10.1093/cercor/bhaa301
Stereomotion Processing in the Nonhuman Primate Brain
Cerebral Cortex / Mar 28, 2020
Héjja-Brichard, Y., Rima, S., Rapha, E., Durand, J.-B., & Cottereau, B. R. (2020). Stereomotion Processing in the Nonhuman Primate Brain. Cerebral Cortex, 30(8), 4528–4543. https://doi.org/10.1093/cercor/bhaa055
Good scientific practice in EEG and MEG research: Progress and perspectives
NeuroImage / Aug 01, 2022
Niso, G., Krol, L. R., Combrisson, E., Dubarry, A. S., Elliott, M. A., François, C., Héjja-Brichard, Y., Herbst, S. K., Jerbi, K., Kovic, V., Lehongre, K., Luck, S. J., Mercier, M., Mosher, J. C., Pavlov, Y. G., Puce, A., Schettino, A., Schön, D., Sinnott-Armstrong, W., … Chaumon, M. (2022). Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage, 257, 119056. https://doi.org/10.1016/j.neuroimage.2022.119056
Symmetry Processing in the Macaque Visual Cortex
Cerebral Cortex / Oct 06, 2021
Audurier, P., Héjja-Brichard, Y., De Castro, V., Kohler, P. J., Norcia, A. M., Durand, J.-B., & Cottereau, B. R. (2021). Symmetry Processing in the Macaque Visual Cortex. Cerebral Cortex, 32(10), 2277–2290. https://doi.org/10.1093/cercor/bhab358
Brian Bushee
Finance Professor at University of Pennsylvania
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46 total publications
Institutional Investor Preferences and Price Pressure: The Case of Corporate Spin‐Offs*
The Journal of Business / Apr 01, 2003
Abarbanell, J. S., Bushee, B. J., & Smith Raedy, J. (2003). Institutional Investor Preferences and Price Pressure: The Case of Corporate Spin‐Offs*. The Journal of Business, 76(2), 233–261. https://doi.org/10.1086/367749
Tim Leung
Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
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138 total publications
Stochastic modeling and fair valuation of drawdown insurance
Insurance: Mathematics and Economics / Nov 01, 2013
Zhang, H., Leung, T., & Hadjiliadis, O. (2013). Stochastic modeling and fair valuation of drawdown insurance. Insurance: Mathematics and Economics, 53(3), 840–850. https://doi.org/10.1016/j.insmatheco.2013.10.006
Optimal starting–stopping and switching of a CIR process with fixed costs
Risk and Decision Analysis / Jan 01, 2014
Leung, T., Li, X., & Wang, Z. (2014). Optimal starting–stopping and switching of a CIR process with fixed costs. Risk and Decision Analysis, 5(2–3), 149–161. https://doi.org/10.3233/rda-140107
Timing options for a startup with early termination and competition risks
Risk and Decision Analysis / May 31, 2017
Leung, T., & Li, Z. (2017). Timing options for a startup with early termination and competition risks. Risk and Decision Analysis, 6(2), 151–166. https://doi.org/10.3233/rda-170120
ESO Valuation with Job Termination Risk and Jumps in Stock Price
SIAM Journal on Financial Mathematics / Jan 01, 2015
Leung, T., & Wan, H. (2015). ESO Valuation with Job Termination Risk and Jumps in Stock Price. SIAM Journal on Financial Mathematics, 6(1), 487–516. https://doi.org/10.1137/130937949
Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs
Stochastic Models / Jul 16, 2015
Leung, T., Li, X., & Wang, Z. (2015). Optimal Multiple Trading Times Under the Exponential OU Model with Transaction Costs. Stochastic Models, 31(4), 554–587. https://doi.org/10.1080/15326349.2015.1058717
Default swap games driven by spectrally negative Lévy processes
Stochastic Processes and their Applications / Feb 01, 2013
Egami, M., Leung, T., & Yamazaki, K. (2013). Default swap games driven by spectrally negative Lévy processes. Stochastic Processes and Their Applications, 123(2), 347–384. https://doi.org/10.1016/j.spa.2012.09.008
Outperformance portfolio optimization via the equivalence of pure and randomized hypothesis testing
Finance and Stochastics / Aug 27, 2013
Leung, T., Song, Q., & Yang, J. (2013). Outperformance portfolio optimization via the equivalence of pure and randomized hypothesis testing. Finance and Stochastics, 17(4), 839–870. https://doi.org/10.1007/s00780-013-0213-8
Accounting for risk aversion in derivatives purchase timing
Mathematics and Financial Economics / Feb 24, 2012
Leung, T., & Ludkovski, M. (2012). Accounting for risk aversion in derivatives purchase timing. Mathematics and Financial Economics, 6(4), 363–386. https://doi.org/10.1007/s11579-012-0063-8
Forward indifference valuation of American options
Stochastics / Jun 19, 2012
Leung, T., Sircar, R., & Zariphopoulou, T. (2012). Forward indifference valuation of American options. Stochastics, 84(5–6), 741–770. https://doi.org/10.1080/17442508.2012.694438
Optimal Timing to Purchase Options
SIAM Journal on Financial Mathematics / Jan 01, 2011
Leung, T., & Ludkovski, M. (2011). Optimal Timing to Purchase Options. SIAM Journal on Financial Mathematics, 2(1), 768–793. https://doi.org/10.1137/100809386
David Blanchett
Current Director - PGIM (Formerly Prudential Investment Management); Adjunct Professor of Finance
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83 total publications
Optimal Initiation of Guaranteed Lifelong Withdrawal Benefit with Dynamic Withdrawals
SIAM Journal on Financial Mathematics / Jan 01, 2017
Huang, Y. T., Zeng, P., & Kwok, Y. K. (2017). Optimal Initiation of Guaranteed Lifelong Withdrawal Benefit with Dynamic Withdrawals. SIAM Journal on Financial Mathematics, 8(1), 804–840. https://doi.org/10.1137/16m1089575
Bernd Stahl
Director of the Centre for Computing and Social Responsibility
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145 total publications
Reflective responsibility for risk: a critical view of software and information systems development risk management
International Journal of Risk Assessment and Management / Jan 01, 2007
Stahl, B. C. (2007). Reflective responsibility for risk: a critical view of software and information systems development risk management. International Journal of Risk Assessment and Management, 7(3), 312. https://doi.org/10.1504/ijram.2007.011985
Christophe Schinckus
Professor & Dean of Faculty of Business and Computing - University of the Fraser Valley, Canada
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113 total publications
Econophysics and sociophysics: Their milestones & challenges
Physica A: Statistical Mechanics and its Applications / Feb 01, 2019
Kutner, R., Ausloos, M., Grech, D., Di Matteo, T., Schinckus, C., & Eugene Stanley, H. (2019). Econophysics and sociophysics: Their milestones & challenges. Physica A: Statistical Mechanics and Its Applications, 516, 240–253. https://doi.org/10.1016/j.physa.2018.10.019
Economic uncertainty and econophysics
Physica A: Statistical Mechanics and its Applications / Oct 01, 2009
Schinckus, C. (2009). Economic uncertainty and econophysics. Physica A: Statistical Mechanics and Its Applications, 388(20), 4415–4423. https://doi.org/10.1016/j.physa.2009.07.008
Is econophysics a new discipline? The neopositivist argument
Physica A: Statistical Mechanics and its Applications / Sep 01, 2010
Schinckus, C. (2010). Is econophysics a new discipline? The neopositivist argument. Physica A: Statistical Mechanics and Its Applications, 389(18), 3814–3821. https://doi.org/10.1016/j.physa.2010.05.016
Manifesto for a post-pandemic modeling
Physica A: Statistical Mechanics and its Applications / Dec 01, 2020
Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2020). Manifesto for a post-pandemic modeling. Physica A: Statistical Mechanics and Its Applications, 559, 125086. https://doi.org/10.1016/j.physa.2020.125086
Preface
Physica A: Statistical Mechanics and its Applications / Jan 01, 2019
Ausloos, M., Grech, D., Di Matteo, T., Kutner, R., Schinckus, C., & Stanley, H. E. (2019). Preface. Physica A: Statistical Mechanics and Its Applications, 513, 272. https://doi.org/10.1016/j.physa.2018.08.173
Empirical justification of the elementary model of money circulation
Physica A: Statistical Mechanics and its Applications / Mar 01, 2018
Schinckus, C., Altukhov, Y. A., & Pokrovskii, V. N. (2018). Empirical justification of the elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 493, 228–238. https://doi.org/10.1016/j.physa.2017.10.054
Ising model, econophysics and analogies
Physica A: Statistical Mechanics and its Applications / Oct 01, 2018
Schinckus, C. (2018). Ising model, econophysics and analogies. Physica A: Statistical Mechanics and Its Applications, 508, 95–103. https://doi.org/10.1016/j.physa.2018.05.063
An elementary model of money circulation
Physica A: Statistical Mechanics and its Applications / Dec 01, 2016
Pokrovskii, V. N., & Schinckus, C. (2016). An elementary model of money circulation. Physica A: Statistical Mechanics and Its Applications, 463, 111–122. https://doi.org/10.1016/j.physa.2016.07.006
Between complexity of modelling and modelling of complexity: An essay on econophysics
Physica A: Statistical Mechanics and its Applications / Sep 01, 2013
Schinckus, C. (2013). Between complexity of modelling and modelling of complexity: An essay on econophysics. Physica A: Statistical Mechanics and Its Applications, 392(17), 3654–3665. https://doi.org/10.1016/j.physa.2013.04.005
A unified model for price return distributions used in econophysics
Physica A: Statistical Mechanics and its Applications / Oct 01, 2011
Bucsa, G., Jovanovic, F., & Schinckus, C. (2011). A unified model for price return distributions used in econophysics. Physica A: Statistical Mechanics and Its Applications, 390(20), 3435–3443. https://doi.org/10.1016/j.physa.2011.04.012
Wesley R. Hartmann
The John G. McCoy-Banc One Corporation Professor of Marketing
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26 total publications
Dynamics of polynomials with disconnected Julia sets
Discrete & Continuous Dynamical Systems - A / Jan 01, 2003
D. Emerson, N. (2003). Dynamics of polynomials with disconnected Julia sets. Discrete & Continuous Dynamical Systems - A, 9(4), 801–834. https://doi.org/10.3934/dcds.2003.9.801
Anindya Ghose
Heinz Riehl Chair Professor of Business, NYU Stern
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86 total publications
Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges
Statistical Science / May 01, 2006
Ghose, A., & Sundararajan, A. (2006). Evaluating Pricing Strategy Using e-Commerce Data: Evidence and Estimation Challenges. Statistical Science, 21(2). https://doi.org/10.1214/088342306000000187
Sonja Lyubomirsky
Distinguished Professor, University of California, Riverside
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114 total publications
Experimental effects of social behavior on well-being
Trends in Cognitive Sciences / Nov 01, 2022
Regan, A., Radošić, N., & Lyubomirsky, S. (2022). Experimental effects of social behavior on well-being. Trends in Cognitive Sciences, 26(11), 987–998. https://doi.org/10.1016/j.tics.2022.08.006
Ryan Howell
Professor of Psychology, Department of Psychology, San Francisco State University
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66 total publications
Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials
Journal of Medical Internet Research / Jun 08, 2019
Sanders, C. A., Schueller, S. M., Parks, A. C., & Howell, R. T. (2019). Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research, 21(6), e13253. https://doi.org/10.2196/13253
Video conferencing during emergency distance learning impacted student emotions during COVID-19
Computers in Human Behavior Reports / Aug 01, 2022
Okabe-Miyamoto, K., Durnell, E., Howell, R. T., & Zizi, M. (2022). Video conferencing during emergency distance learning impacted student emotions during COVID-19. Computers in Human Behavior Reports, 7, 100199. https://doi.org/10.1016/j.chbr.2022.100199
John Joe
Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
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95 total publications
Conscious Electromagnetic (CEMI) Field Theory
NeuroQuantology / Sep 12, 2007
McFadden, J. (2007). Conscious Electromagnetic (CEMI) Field Theory. NeuroQuantology, 5(3). https://doi.org/10.14704/nq.2007.5.3.135
A quantum mechanical model of adaptive mutation
Biosystems / Jun 01, 1999
McFadden, J., & Al-Khalili, J. (1999). A quantum mechanical model of adaptive mutation. Biosystems, 50(3), 203–211. https://doi.org/10.1016/s0303-2647(99)00004-0
Quantum Biology: An Update and Perspective
Quantum Reports / Jan 26, 2021
Kim, Y., Bertagna, F., D’Souza, E. M., Heyes, D. J., Johannissen, L. O., Nery, E. T., Pantelias, A., Sanchez-Pedreño Jimenez, A., Slocombe, L., Spencer, M. G., Al-Khalili, J., Engel, G. S., Hay, S., Hingley-Wilson, S. M., Jeevaratnam, K., Jones, A. R., Kattnig, D. R., Lewis, R., Sacchi, M., … McFadden, J. (2021). Quantum Biology: An Update and Perspective. Quantum Reports, 3(1), 80–126. https://doi.org/10.3390/quantum3010006
Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations
Journal of Theoretical Biology / Jun 01, 1997
McFadden, J., & Knowles, G. (1997). Escape From Evolutionary Stasis by Transposon-mediated Deleterious Mutations. Journal of Theoretical Biology, 186(4), 441–447. https://doi.org/10.1006/jtbi.1997.0403
Sheraz Ch
1DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran 2Senses Cultural Foundation, Sacramento, CA, USA
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15 total publications
Awareness of Cardiovascular Disease Risk Factors by Community Pharmacists in Saudi Arabia
Healthcare / Jan 04, 2023
Sulaiteen, F. M., Al-Zaagi, I. A., Alenazi, M. S., Alotaibi, A. Z., Alghamdi, T. A., Yousaf, A., & Ali, S. (2023). Awareness of Cardiovascular Disease Risk Factors by Community Pharmacists in Saudi Arabia. Healthcare, 11(2), 151. https://doi.org/10.3390/healthcare11020151
Paola Dussias
Professor of Spanish, Linguistics and Psychology, Penn State University
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87 total publications
Clitic pronouns reveal the time course of processing gender and number in a second language
Neuropsychologia / Sep 01, 2014
Rossi, E., Kroll, J. F., & Dussias, P. E. (2014). Clitic pronouns reveal the time course of processing gender and number in a second language. Neuropsychologia, 62, 11–25. https://doi.org/10.1016/j.neuropsychologia.2014.07.002
Referential choice in a second language: evidence for a listener-oriented approach
Language, Cognition and Neuroscience / Aug 19, 2016
Contemori, C., & Dussias, P. E. (2016). Referential choice in a second language: evidence for a listener-oriented approach. Language, Cognition and Neuroscience, 31(10), 1257–1272. https://doi.org/10.1080/23273798.2016.1220604
Neural signatures of inhibitory control in intra-sentential code-switching: Evidence from fMRI
Journal of Neurolinguistics / Feb 01, 2021
Rossi, E., Dussias, P. E., Diaz, M., van Hell, J. G., & Newman, S. (2021). Neural signatures of inhibitory control in intra-sentential code-switching: Evidence from fMRI. Journal of Neurolinguistics, 57, 100938. https://doi.org/10.1016/j.jneuroling.2020.100938
Brain potentials reveal differential processing of masculine and feminine grammatical gender in native Spanish speakers
Psychophysiology / Dec 02, 2020
Beatty‐Martínez, A. L., Bruni, M. R., Bajo, M. T., & Dussias, P. E. (2020). Brain potentials reveal differential processing of masculine and feminine grammatical gender in native Spanish speakers. Psychophysiology, 58(3). Portico. https://doi.org/10.1111/psyp.13737
When exceptions matter: bilinguals regulate their dominant language to exploit structural constraints in sentence production
Language, Cognition and Neuroscience / Aug 03, 2022
Navarro-Torres, C. A., Dussias, P. E., & Kroll, J. F. (2022). When exceptions matter: bilinguals regulate their dominant language to exploit structural constraints in sentence production. Language, Cognition and Neuroscience, 38(2), 217–242. https://doi.org/10.1080/23273798.2022.2105915
Stephen Adamo
Postdoctoral Researcher, University of Central Florida
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32 total publications
A taxonomy of errors in multiple-target visual search
Visual Cognition / Aug 01, 2013
Cain, M. S., Adamo, S. H., & Mitroff, S. R. (2013). A taxonomy of errors in multiple-target visual search. Visual Cognition, 21(7), 899–921. https://doi.org/10.1080/13506285.2013.843627
Mammography to tomosynthesis: examining the differences between two-dimensional and segmented-three-dimensional visual search
Cognitive Research: Principles and Implications / Jun 14, 2018
Adamo, S. H., Ericson, J. M., Nah, J. C., Brem, R., & Mitroff, S. R. (2018). Mammography to tomosynthesis: examining the differences between two-dimensional and segmented-three-dimensional visual search. Cognitive Research: Principles and Implications, 3(1). https://doi.org/10.1186/s41235-018-0103-x
Satisfaction at last: Evidence for the “satisfaction” hypothesis for multiple-target search errors
Visual Cognition / Aug 09, 2015
Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2015). Satisfaction at last: Evidence for the “satisfaction” hypothesis for multiple-target search errors. Visual Cognition, 23(7), 821–825. https://doi.org/10.1080/13506285.2015.1093248
From “satisfaction of search” to “subsequent search misses”: a review of multiple-target search errors across radiology and cognitive science
Cognitive Research: Principles and Implications / Aug 28, 2021
Adamo, S. H., Gereke, B. J., Shomstein, S., & Schmidt, J. (2021). From “satisfaction of search” to “subsequent search misses”: a review of multiple-target search errors across radiology and cognitive science. Cognitive Research: Principles and Implications, 6(1). https://doi.org/10.1186/s41235-021-00318-w
Recruiting from the shallow end of the pool: Differences in cognitive and compliance measures for subject pool participants based on enrollment time across an academic term
Visual Cognition / Dec 18, 2019
Porfido, C. L., Cox, P. H., Adamo, S. H., & Mitroff, S. R. (2019). Recruiting from the shallow end of the pool: Differences in cognitive and compliance measures for subject pool participants based on enrollment time across an academic term. Visual Cognition, 28(1), 1–9. https://doi.org/10.1080/13506285.2019.1702602
Self-induced attentional blink: A cause of errors in multiple-target visual search
Visual Cognition / Oct 01, 2012
Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2012). Self-induced attentional blink: A cause of errors in multiple-target visual search. Visual Cognition, 20(9), 1003–1007. https://doi.org/10.1080/13506285.2012.726448
Volume 24, 2016 List of Reviewers
Visual Cognition / Nov 25, 2016
Volume 24, 2016 List of Reviewers. (2016). Visual Cognition, 24(9–10), 499–501. https://doi.org/10.1080/13506285.2016.1345458
Daniel Milej, Ph.D.
Ph.D. in biomedical engineering
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91 total publications
Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method
Computer Methods and Programs in Biomedicine / Jan 01, 2020
Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084
Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method
NeuroImage / Jan 01, 2014
Weigl, W., Milej, D., Gerega, A., Toczylowska, B., Kacprzak, M., Sawosz, P., Botwicz, M., Maniewski, R., Mayzner-Zawadzka, E., & Liebert, A. (2014). Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method. NeuroImage, 85, 555–565. https://doi.org/10.1016/j.neuroimage.2013.06.065
Andrii Golovin
Electrical Engineering Department, City College of New York
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57 total publications
Surface plasmon sorting and engineered dispersion curves using multilayer doped semiconductors
Journal of the Optical Society of America B / May 01, 2015
Jung, Y. U., Mandel, I. M., Bendoym, I., Golovin, A. B., & Crouse, D. T. (2015). Surface plasmon sorting and engineered dispersion curves using multilayer doped semiconductors. Journal of the Optical Society of America B, 32(5), 1007. https://doi.org/10.1364/josab.32.001007
Dr. Charles Lassiter, Ph.D.
Associate professor of philosophy with publications on mind, language, knowledge, and culture
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22 total publications
Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022
Phenomenology and the Cognitive Sciences / Oct 20, 2022
Lassiter, C., & Kagan, A. (2022). Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09864-0
New Ontological Foundations for Extended Minds: Causal Powers Realism
Phenomenology and the Cognitive Sciences / Jun 10, 2022
Lassiter, C., & Vukov, J. (2022). New Ontological Foundations for Extended Minds: Causal Powers Realism. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09817-7
Norman Farb
Associate Professor at University of Toronto - Mississauga
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96 total publications
Attending to the present: mindfulness meditation reveals distinct neural modes of self-reference
Social Cognitive and Affective Neuroscience / Aug 13, 2007
Farb, N. A. S., Segal, Z. V., Mayberg, H., Bean, J., McKeon, D., Fatima, Z., & Anderson, A. K. (2007). Attending to the present: mindfulness meditation reveals distinct neural modes of self-reference. Social Cognitive and Affective Neuroscience, 2(4), 313–322. https://doi.org/10.1093/scan/nsm030
Mindfulness meditation training alters cortical representations of interoceptive attention
Social Cognitive and Affective Neuroscience / Jul 06, 2012
Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2012). Mindfulness meditation training alters cortical representations of interoceptive attention. Social Cognitive and Affective Neuroscience, 8(1), 15–26. https://doi.org/10.1093/scan/nss066
Attentional Modulation of Primary Interoceptive and Exteroceptive Cortices
Cerebral Cortex / Jan 19, 2012
Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2012). Attentional Modulation of Primary Interoceptive and Exteroceptive Cortices. Cerebral Cortex, 23(1), 114–126. https://doi.org/10.1093/cercor/bhr385
Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation
Cortex / Jul 01, 2013
Farb, N. A. S., Grady, C. L., Strother, S., Tang-Wai, D. F., Masellis, M., Black, S., Freedman, M., Pollock, B. G., Campbell, K. L., Hasher, L., & Chow, T. W. (2013). Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation. Cortex, 49(7), 1856–1873. https://doi.org/10.1016/j.cortex.2012.09.008
Intrinsic medial temporal lobe connectivity relates to individual differences in episodic autobiographical remembering
Cortex / Jan 01, 2016
Sheldon, S., Farb, N., Palombo, D. J., & Levine, B. (2016). Intrinsic medial temporal lobe connectivity relates to individual differences in episodic autobiographical remembering. Cortex, 74, 206–216. https://doi.org/10.1016/j.cortex.2015.11.005
Do Lifestyle Activities Protect Against Cognitive Decline in Aging? A Review
Frontiers in Aging Neuroscience / Nov 20, 2017
Christie, G. J., Hamilton, T., Manor, B. D., Farb, N. A. S., Farzan, F., Sixsmith, A., Temprado, J.-J., & Moreno, S. (2017). Do Lifestyle Activities Protect Against Cognitive Decline in Aging? A Review. Frontiers in Aging Neuroscience, 9. https://doi.org/10.3389/fnagi.2017.00381
Frontoparietal and Default Mode Network Contributions to Self-Referential Processing in Social Anxiety Disorder
Cognitive, Affective, & Behavioral Neuroscience / Aug 02, 2021
Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N., Heimberg, R. G., Zhang, J., & Gross, J. J. (2021). Frontoparietal and Default Mode Network Contributions to Self-Referential Processing in Social Anxiety Disorder. Cognitive, Affective, & Behavioral Neuroscience, 22(1), 187–198. https://doi.org/10.3758/s13415-021-00933-6
Facial emotion recognition in children treated for posterior fossa tumours and typically developing children: A divergence of predictors
NeuroImage: Clinical / Jan 01, 2019
Moxon-Emre, I., Farb, N. A. S., Oyefiade, A. A., Bouffet, E., Laughlin, S., Skocic, J., de Medeiros, C. B., & Mabbott, D. J. (2019). Facial emotion recognition in children treated for posterior fossa tumours and typically developing children: A divergence of predictors. NeuroImage: Clinical, 23, 101886. https://doi.org/10.1016/j.nicl.2019.101886
Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial
NeuroImage: Clinical / Jan 01, 2022
Farb, N. A. S., Desormeau, P., Anderson, A. K., & Segal, Z. V. (2022). Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: Evidence from a randomized control trial. NeuroImage: Clinical, 34, 102969. https://doi.org/10.1016/j.nicl.2022.102969
Emotion Regulation in Social Anxiety Disorder: Reappraisal and Acceptance of Negative Self-beliefs
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging / Jan 01, 2020
Dixon, M. L., Moodie, C. A., Goldin, P. R., Farb, N., Heimberg, R. G., & Gross, J. J. (2020). Emotion Regulation in Social Anxiety Disorder: Reappraisal and Acceptance of Negative Self-beliefs. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(1), 119–129. https://doi.org/10.1016/j.bpsc.2019.07.009
Laura Jackson Young
Associate Professor of Economics, Bentley University
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21 total publications
The nonlinear effects of uncertainty shocks
Studies in Nonlinear Dynamics & Econometrics / Oct 26, 2019
Jackson, L. E., Kliesen, K. L., & Owyang, M. T. (2019). The nonlinear effects of uncertainty shocks. Studies in Nonlinear Dynamics & Econometrics, 24(4). https://doi.org/10.1515/snde-2019-0024
Age and gender differentials in unemployment and hysteresis
Studies in Nonlinear Dynamics & Econometrics / Jun 07, 2023
Guisinger, A. Y., Jackson, L. E., & Owyang, M. T. (2023). Age and gender differentials in unemployment and hysteresis. Studies in Nonlinear Dynamics & Econometrics, 0(0). https://doi.org/10.1515/snde-2022-0068
Lea-Rachel Kosnik
Professor of Economics, University of Missouri-St. Louis, a leading expert on hydropower regulation in the U.S., and other energy and environmental issues
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40 total publications
Which leading journal leads? Idea diffusion in economics research journals
Empirical Economics / Jun 06, 2018
Bellas, A., & Kosnik, L.-R. (2018). Which leading journal leads? Idea diffusion in economics research journals. Empirical Economics, 57(3), 901–921. https://doi.org/10.1007/s00181-018-1466-z
Mohsen Omrani
CEO at OPTT Inc.
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49 total publications
Learning not to feel: reshaping the resolution of tactile perception
Frontiers in Systems Neuroscience / Jan 01, 2013
Omrani, M., Lak, A., & Diamond, M. E. (2013). Learning not to feel: reshaping the resolution of tactile perception. Frontiers in Systems Neuroscience, 7. https://doi.org/10.3389/fnsys.2013.00029
User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study
Internet Interventions / Apr 01, 2023
Stephenson, C., Moghimi, E., Gutierrez, G., Jagayat, J., Layzell, G., Patel, C., Omrani, M., & Alavi, N. (2023). User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study. Internet Interventions, 32, 100623. https://doi.org/10.1016/j.invent.2023.100623
Steve Joordens
UofT Professor of Psychology with a passion for preventive mental health and education
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77 total publications
EEG variability: Task-driven or subject-driven signal of interest?
NeuroImage / May 01, 2022
Gibson, E., Lobaugh, N. J., Joordens, S., & McIntosh, A. R. (2022). EEG variability: Task-driven or subject-driven signal of interest? NeuroImage, 252, 119034. https://doi.org/10.1016/j.neuroimage.2022.119034
Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
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23 total publications
Enhancing the prediction of disease–gene associations with multimodal deep learning
Bioinformatics / Mar 02, 2019
Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
Neurocomputing / Jan 01, 2018
Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039
Marian Rizov
Professor of Business Economics
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84 total publications
Productivity and Trade Orientation in UK Manufacturing
Oxford Bulletin of Economics and Statistics / Dec 01, 2009
Rizov, M., & Walsh, P. P. (2009). Productivity and Trade Orientation in UK Manufacturing. Oxford Bulletin of Economics and Statistics, 71(6), 821–849. https://doi.org/10.1111/j.1468-0084.2009.00564.x
Marc St-Pierre
Associate Professor of Economics at The University of the South
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8 total publications
The role of inequality on effort in tournaments
Mathematical Social Sciences / May 01, 2016
St-Pierre, M. (2016). The role of inequality on effort in tournaments. Mathematical Social Sciences, 81, 38–52. https://doi.org/10.1016/j.mathsocsci.2016.02.004
Paul Schrater
University of Minnesota
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96 total publications
Patterns of Activity in the Categorical Representations of Objects
Journal of Cognitive Neuroscience / May 01, 2003
Carlson, T. A., Schrater, P., & He, S. (2003). Patterns of Activity in the Categorical Representations of Objects. Journal of Cognitive Neuroscience, 15(5), 704–717. https://doi.org/10.1162/jocn.2003.15.5.704
Perceptual grouping and the interactions between visual cortical areas
Neural Networks / Jun 01, 2004
Murray, S. O., Schrater, P., & Kersten, D. (2004). Perceptual grouping and the interactions between visual cortical areas. Neural Networks, 17(5–6), 695–705. https://doi.org/10.1016/j.neunet.2004.03.010
Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility
Trends in Cognitive Sciences / Jul 01, 2021
van Viegen, T., Akrami, A., Bonnen, K., DeWitt, E., Hyafil, A., Ledmyr, H., Lindsay, G. W., Mineault, P., Murray, J. D., Pitkow, X., Puce, A., Sedigh-Sarvestani, M., Stringer, C., Achakulvisut, T., Alikarami, E., Atay, M. S., Batty, E., Erlich, J. C., Galbraith, B. V., … Peters, M. A. K. (2021). Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility. Trends in Cognitive Sciences, 25(7), 535–538. https://doi.org/10.1016/j.tics.2021.03.018
An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty
Neural Computation / Oct 01, 2011
Christopoulos, V. N., & Schrater, P. R. (2011). An Optimal Feedback Control Framework for Grasping Objects with Position Uncertainty. Neural Computation, 23(10), 2511–2536. https://doi.org/10.1162/neco_a_00180
Emmanouil Mentzakis
Health Economist, Professor at City University of London
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46 total publications
A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example
BMC Medical Informatics and Decision Making / May 24, 2020
Mentzakis, E., Tkacz, D., & Rivas, C. (2020). A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1098-z
Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach
Journal of Medical Internet Research / May 03, 2019
Wang, T., Mentzakis, E., Brede, M., & Ianni, A. (2019). Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research, 21(5), e10942. https://doi.org/10.2196/10942
Tyler Ransom
Associate Professor of Economics at the University of Oklahoma
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15 total publications
Selective Migration, Occupational Choice, and the Wage Returns to College Majors
Annals of Economics and Statistics / Jan 01, 2021
Ransom. (2021). Selective Migration, Occupational Choice, and the Wage Returns to College Majors. Annals of Economics and Statistics, 142, 45. https://doi.org/10.15609/annaeconstat2009.142.0045
Nora S Vyas, Ph.D.
Associate Professor of Mental Health, with interest in civic engagement and partnerships
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30 total publications
Reading abilities and dopamine D2/D3 receptor availability: An inverted U-shaped association in subjects with schizophrenia
Brain and Language / Dec 01, 2021
Mitelman, S. A., Buchsbaum, M. S., Vyas, N. S., Christian, B. T., Merrill, B. M., Buchsbaum, B. R., Mitelman, A. M., Mukherjee, J., & Lehrer, D. S. (2021). Reading abilities and dopamine D2/D3 receptor availability: An inverted U-shaped association in subjects with schizophrenia. Brain and Language, 223, 105046. https://doi.org/10.1016/j.bandl.2021.105046
Abiodun Adewuya
Professor of Public Mental Health at Lagos State University College of Medicine
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113 total publications
Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study
JMIR Public Health and Surveillance / Jan 25, 2021
Erinoso, O., Wright, K. O., Anya, S., Kuyinu, Y., Abdur-Razzaq, H., & Adewuya, A. (2021). Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study. JMIR Public Health and Surveillance, 7(1), e22273. https://doi.org/10.2196/22273
Cognitive functioning among patients with schizophrenia in a Nigerian hospital: a comparison with mood disorder
Schizophrenia Research: Cognition / Sep 01, 2014
Okewole, A. O., Adewuya, A. O., & Makanjuola, R. O. A. (2014). Cognitive functioning among patients with schizophrenia in a Nigerian hospital: a comparison with mood disorder. Schizophrenia Research: Cognition, 1(3), 155–159. https://doi.org/10.1016/j.scog.2014.08.003
Beth Bell
Associate Professor (Youth Mental Health and Wellbeing) at the University of York (UK).
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26 total publications
Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People
JMIR mHealth and uHealth / Jun 18, 2019
Honary, M., Bell, B. T., Clinch, S., Wild, S. E., & McNaney, R. (2019). Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR MHealth and UHealth, 7(6), e14239. https://doi.org/10.2196/14239
Thomas Morin, Ph.D.
Postdoctoral Fellow studying cognitive and computational neuroscience in the context of Alzheimer’s disease, aging, and autism. Expertise in network neuroscience, MRI and PET neuroimaging. Mass. General Hospital & Brandeis University
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6 total publications
Dynamic Network Analysis Demonstrates the Formation of Stable Functional Networks During Rule Learning
Cerebral Cortex / Jul 27, 2021
Morin, T. M., Chang, A. E., Ma, W., McGuire, J. T., & Stern, C. E. (2021). Dynamic Network Analysis Demonstrates the Formation of Stable Functional Networks During Rule Learning. Cerebral Cortex, 31(12), 5511–5525. https://doi.org/10.1093/cercor/bhab175
Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning
Cerebral Cortex / Nov 24, 2022
Morin, T. M., Moore, K. N., Isenburg, K., Ma, W., & Stern, C. E. (2022). Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning. Cerebral Cortex, 33(10), 5761–5773. https://doi.org/10.1093/cercor/bhac457
Functional network reconfiguration supporting memory-guided attention
Cerebral Cortex / Mar 28, 2023
Isenburg, K., Morin, T. M., Rosen, M. L., Somers, D. C., & Stern, C. E. (2023). Functional network reconfiguration supporting memory-guided attention. Cerebral Cortex, 33(12), 7702–7713. https://doi.org/10.1093/cercor/bhad073
Athul Prasad
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
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75 total publications
A CO-ORDINATED INTERFERENCE CANCELLATION METHOD FOR MIMO FOR SELF-INTERFERENCE MITIGATION
Journal of Pharmaceutical Negative Results / Jan 01, 2022
A CO-ORDINATED INTERFERENCE CANCELLATION METHOD FOR MIMO FOR SELF-INTERFERENCE MITIGATION. (2022). Journal of Pharmaceutical Negative Results, 13(S01). https://doi.org/10.47750/pnr.2022.13.s01.64
Vartika Bisht
Univeristy of Utrecht
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Other Research Interests (8)
Most Relevant Publications (1+)
6 total publications
NFnetFu: A novel workflow for microbiome data fusion
Computers in Biology and Medicine / Aug 01, 2021
Bisht, V., Acharjee, A., & Gkoutos, G. V. (2021). NFnetFu: A novel workflow for microbiome data fusion. Computers in Biology and Medicine, 135, 104556. https://doi.org/10.1016/j.compbiomed.2021.104556
andrea bazzani
Scuola Superiore Sant'Anna - Pisa
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Most Relevant Publications (1+)
25 total publications
Heart rate detection by Fitbit ChargeHR™: A validation study versus portable polysomnography
Journal of Sleep Research / Apr 10, 2021
Benedetti, D., Olcese, U., Frumento, P., Bazzani, A., Bruno, S., d’Ascanio, P., Maestri, M., Bonanni, E., & Faraguna, U. (2021). Heart rate detection by Fitbit ChargeHR™: A validation study versus portable polysomnography. Journal of Sleep Research, 30(6). Portico. https://doi.org/10.1111/jsr.13346
Ernesto Lowy
Senior Bioinformatician specialised in Cancer Genomics
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Most Relevant Publications (1+)
61 total publications
TEQC: an R package for quality control in target capture experiments
Bioinformatics / Mar 12, 2011
Hummel, M., Bonnin, S., Lowy, E., & Roma, G. (2011). TEQC: an R package for quality control in target capture experiments. Bioinformatics, 27(9), 1316–1317. https://doi.org/10.1093/bioinformatics/btr122
Dr. Abdussalam Elhanashi
Researcher at University of Pisa
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28 total publications
An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data
Algorithms / Oct 07, 2020
Fedele, R., & Merenda, M. (2020). An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data. Algorithms, 13(10), 254. https://doi.org/10.3390/a13100254
Asst. Prof. Eng. Davide Verzotto, Ph.D.
Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome
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40 total publications
OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis
GigaScience / Jan 19, 2016
Verzotto, D., M. Teo, A. S., Hillmer, A. M., & Nagarajan, N. (2016). OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis. GigaScience, 5(1). https://doi.org/10.1186/s13742-016-0110-0
Editorial: Special Issue on Algorithms for Sequence Analysis and Storage
Algorithms / Mar 25, 2014
Mäkinen, V. (2014). Editorial: Special Issue on Algorithms for Sequence Analysis and Storage. Algorithms, 7(1), 186–187. https://doi.org/10.3390/a7010186
Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line
GigaScience / Dec 01, 2015
Teo, A. S. M., Verzotto, D., Yao, F., Nagarajan, N., & Hillmer, A. M. (2015). Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0106-1
Filtering Degenerate Patterns with Application to Protein Sequence Analysis
Algorithms / May 22, 2013
Comin, M., & Verzotto, D. (2013). Filtering Degenerate Patterns with Application to Protein Sequence Analysis. Algorithms, 6(2), 352–370. https://doi.org/10.3390/a6020352
K. Suzanne Scherf
Associate Professor of Psychology & Neuroscience, Penn State University
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80 total publications
Visual category-selectivity for faces, places and objects emerges along different developmental trajectories
Developmental Science / Jul 01, 2007
Scherf, K. S., Behrmann, M., Humphreys, K., & Luna, B. (2007). Visual category-selectivity for faces, places and objects emerges along different developmental trajectories. Developmental Science, 10(4), F15–F30. https://doi.org/10.1111/j.1467-7687.2007.00595.x
Brain Basis of Developmental Change in Visuospatial Working Memory
Journal of Cognitive Neuroscience / Jul 01, 2006
Scherf, K. S., Sweeney, J. A., & Luna, B. (2006). Brain Basis of Developmental Change in Visuospatial Working Memory. Journal of Cognitive Neuroscience, 18(7), 1045–1058. https://doi.org/10.1162/jocn.2006.18.7.1045
Facing changes and changing faces in adolescence: A new model for investigating adolescent-specific interactions between pubertal, brain and behavioral development
Developmental Cognitive Neuroscience / Apr 01, 2012
Scherf, K. S., Behrmann, M., & Dahl, R. E. (2012). Facing changes and changing faces in adolescence: A new model for investigating adolescent-specific interactions between pubertal, brain and behavioral development. Developmental Cognitive Neuroscience, 2(2), 199–219. https://doi.org/10.1016/j.dcn.2011.07.016
Two faces, two languages: An fMRI study of bilingual picture naming
Brain and Language / Dec 01, 2013
Li, Y., Yang, J., Suzanne Scherf, K., & Li, P. (2013). Two faces, two languages: An fMRI study of bilingual picture naming. Brain and Language, 127(3), 452–462. https://doi.org/10.1016/j.bandl.2013.09.005
Pubertal development shapes perception of complex facial expressions
Developmental Science / Jun 19, 2016
Motta‐Mena, N. V., & Scherf, K. S. (2016). Pubertal development shapes perception of complex facial expressions. Developmental Science, 20(4). Portico. https://doi.org/10.1111/desc.12451
Beyond the FFA: Brain-behavior correspondences in face recognition abilities
NeuroImage / Feb 01, 2017
Elbich, D. B., & Scherf, S. (2017). Beyond the FFA: Brain-behavior correspondences in face recognition abilities. NeuroImage, 147, 409–422. https://doi.org/10.1016/j.neuroimage.2016.12.042
Young children's neural processing of their mother’s voice: An fMRI study
Neuropsychologia / Jan 01, 2019
Liu, P., Cole, P. M., Gilmore, R. O., Pérez-Edgar, K. E., Vigeant, M. C., Moriarty, P., & Scherf, K. S. (2019). Young children’s neural processing of their mother’s voice: An fMRI study. Neuropsychologia, 122, 11–19. https://doi.org/10.1016/j.neuropsychologia.2018.12.003
Young children's neural processing of their mother’s voice: An fMRI study
Neuropsychologia / Jan 01, 2019
Liu, P., Cole, P. M., Gilmore, R. O., Pérez-Edgar, K. E., Vigeant, M. C., Moriarty, P., & Scherf, K. S. (2019). Young children’s neural processing of their mother’s voice: An fMRI study. Neuropsychologia, 122, 11–19. https://doi.org/10.1016/j.neuropsychologia.2018.12.003
Configural processing in autism and its relationship to face processing
Neuropsychologia / Jan 01, 2006
Behrmann, M., Avidan, G., Leonard, G. L., Kimchi, R., Luna, B., Humphreys, K., & Minshew, N. (2006). Configural processing in autism and its relationship to face processing. Neuropsychologia, 44(1), 110–129. https://doi.org/10.1016/j.neuropsychologia.2005.04.002
The Privileged Status of Peer Faces: Subordinate-level Neural Representations of Faces in Emerging Adults
Journal of Cognitive Neuroscience / Jan 01, 2023
Dai, J., & Scherf, K. S. (2023). The Privileged Status of Peer Faces: Subordinate-level Neural Representations of Faces in Emerging Adults. Journal of Cognitive Neuroscience, 35(4), 715–735. https://doi.org/10.1162/jocn_a_01966
Changes in Cortical Coherence Supporting Complex Visual and Social Processing in Adolescence
Journal of Cognitive Neuroscience / Oct 01, 2021
Lerner, Y., Scherf, K. S., Katkov, M., Hasson, U., & Behrmann, M. (2021). Changes in Cortical Coherence Supporting Complex Visual and Social Processing in Adolescence. Journal of Cognitive Neuroscience, 33(11), 2215–2230. https://doi.org/10.1162/jocn_a_01756
Puberty and functional brain development in humans: Convergence in findings?
Developmental Cognitive Neuroscience / Oct 01, 2019
Dai, J., & Scherf, K. S. (2019). Puberty and functional brain development in humans: Convergence in findings? Developmental Cognitive Neuroscience, 39, 100690. https://doi.org/10.1016/j.dcn.2019.100690
A theoretical rut: revisiting and critically evaluating the generalized under/over‐connectivity hypothesis of autism
Developmental Science / Jul 01, 2016
Picci, G., Gotts, S. J., & Scherf, K. S. (2016). A theoretical rut: revisiting and critically evaluating the generalized under/over‐connectivity hypothesis of autism. Developmental Science, 19(4), 524–549. Portico. https://doi.org/10.1111/desc.12467
Animal, but not human, faces engage the distributed face network in adolescents with autism
Developmental Science / Apr 14, 2015
Whyte, E. M., Behrmann, M., Minshew, N. J., Garcia, N. V., & Scherf, K. S. (2015). Animal, but not human, faces engage the distributed face network in adolescents with autism. Developmental Science, 19(2), 306–317. Portico. https://doi.org/10.1111/desc.12305
Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex
Journal of Cognitive Neuroscience / Mar 01, 2015
Nishimura, M., Scherf, K. S., Zachariou, V., Tarr, M. J., & Behrmann, M. (2015). Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex. Journal of Cognitive Neuroscience, 27(3), 474–491. https://doi.org/10.1162/jocn_a_00720
Individual differences in symptom severity and behavior predict neural activation during face processing in adolescents with autism
NeuroImage: Clinical / Jan 01, 2015
Scherf, K. S., Elbich, D., Minshew, N., & Behrmann, M. (2015). Individual differences in symptom severity and behavior predict neural activation during face processing in adolescents with autism. NeuroImage: Clinical, 7, 53–67. https://doi.org/10.1016/j.nicl.2014.11.003
Emerging Structure-Function Relations in the Developing Face Processing System
Cerebral Cortex / Jun 13, 2013
Scherf, K. S., Thomas, C., Doyle, J., & Behrmann, M. (2013). Emerging Structure-Function Relations in the Developing Face Processing System. Cerebral Cortex, 24(11), 2964–2980. https://doi.org/10.1093/cercor/bht152
"What" Precedes "Which": Developmental Neural Tuning in Face- and Place-Related Cortex
Cerebral Cortex / Jan 21, 2011
Scherf, K. S., Luna, B., Avidan, G., & Behrmann, M. (2011). “What” Precedes “Which”: Developmental Neural Tuning in Face- and Place-Related Cortex. Cerebral Cortex, 21(9), 1963–1980. https://doi.org/10.1093/cercor/bhq269
Kayvan Najarian
Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
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Most Relevant Publications (15+)
106 total publications
Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma
International Journal of Computer Assisted Radiology and Surgery / Mar 24, 2017
Jafari, M. H., Nasr-Esfahani, E., Karimi, N., Soroushmehr, S. M. R., Samavi, S., & Najarian, K. (2017). Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma. International Journal of Computer Assisted Radiology and Surgery, 12(6), 1021–1030. https://doi.org/10.1007/s11548-017-1567-8
Segmentation of vessels in angiograms using convolutional neural networks
Biomedical Signal Processing and Control / Feb 01, 2018
Nasr-Esfahani, E., Karimi, N., Jafari, M. H., Soroushmehr, S. M. R., Samavi, S., Nallamothu, B. K., & Najarian, K. (2018). Segmentation of vessels in angiograms using convolutional neural networks. Biomedical Signal Processing and Control, 40, 240–251. https://doi.org/10.1016/j.bspc.2017.09.012
Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching
BMC Medical Informatics and Decision Making / Nov 03, 2009
Chen, W., Smith, R., Ji, S.-Y., Ward, K. R., & Najarian, K. (2009). Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Medical Informatics and Decision Making, 9(S1). https://doi.org/10.1186/1472-6947-9-s1-s4
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome
IEEE Journal of Biomedical and Health Informatics / Jan 01, 2019
Reamaroon, N., Sjoding, M. W., Lin, K., Iwashyna, T. J., & Najarian, K. (2019). Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics, 23(1), 407–415. https://doi.org/10.1109/jbhi.2018.2810820
A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries
BMC Medical Informatics and Decision Making / Jan 14, 2009
Ji, S.-Y., Smith, R., Huynh, T., & Najarian, K. (2009). A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries. BMC Medical Informatics and Decision Making, 9(1). https://doi.org/10.1186/1472-6947-9-2
Private naive bayes classification of personal biomedical data: Application in cancer data analysis
Computers in Biology and Medicine / Feb 01, 2019
Wood, A., Shpilrain, V., Najarian, K., & Kahrobaei, D. (2019). Private naive bayes classification of personal biomedical data: Application in cancer data analysis. Computers in Biology and Medicine, 105, 144–150. https://doi.org/10.1016/j.compbiomed.2018.11.018
Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning
BMC Medical Informatics and Decision Making / Oct 15, 2012
Shandilya, S., Ward, K., Kurz, M., & Najarian, K. (2012). Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning. BMC Medical Informatics and Decision Making, 12(1). https://doi.org/10.1186/1472-6947-12-116
Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network
Biomedical Signal Processing and Control / Mar 01, 2020
Hajabdollahi, M., Esfandiarpoor, R., Sabeti, E., Karimi, N., Soroushmehr, S. M. R., & Samavi, S. (2020). Multiple abnormality detection for automatic medical image diagnosis using bifurcated convolutional neural network. Biomedical Signal Processing and Control, 57, 101792. https://doi.org/10.1016/j.bspc.2019.101792
Electrocardiogram characteristics prior to in-hospital cardiac arrest
Journal of Clinical Monitoring and Computing / Sep 19, 2014
Attin, M., Feld, G., Lemus, H., Najarian, K., Shandilya, S., Wang, L., Sabouriazad, P., & Lin, C.-D. (2014). Electrocardiogram characteristics prior to in-hospital cardiac arrest. Journal of Clinical Monitoring and Computing, 29(3), 385–392. https://doi.org/10.1007/s10877-014-9616-0
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
npj Digital Medicine / May 07, 2021
Farzaneh, N., Williamson, C. A., Gryak, J., & Najarian, K. (2021). A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. Npj Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00445-0
Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry
Informatics in Medicine Unlocked / Jan 01, 2019
Sabeti, E., Reamaroon, N., Mathis, M., Gryak, J., Sjoding, M., & Najarian, K. (2019). Signal quality measure for pulsatile physiological signals using morphological features: Applications in reliability measure for pulse oximetry. Informatics in Medicine Unlocked, 16, 100222. https://doi.org/10.1016/j.imu.2019.100222
Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames
Biomedical Signal Processing and Control / Aug 01, 2019
Hajabdollahi, M., Esfandiarpoor, R., Khadivi, P., Soroushmehr, S. M. R., Karimi, N., Najarian, K., & Samavi, S. (2019). Segmentation of bleeding regions in wireless capsule endoscopy for detection of informative frames. Biomedical Signal Processing and Control, 53, 101565. https://doi.org/10.1016/j.bspc.2019.101565
Heart rate variability analysis during central hypovolemia using wavelet transformation
Journal of Clinical Monitoring and Computing / Feb 01, 2013
Ji, S.-Y., Belle, A., Ward, K. R., Ryan, K. L., Rickards, C. A., Convertino, V. A., & Najarian, K. (2013). Heart rate variability analysis during central hypovolemia using wavelet transformation. Journal of Clinical Monitoring and Computing, 27(3), 289–302. https://doi.org/10.1007/s10877-013-9434-9
Adaptive Real-Time Removal of Impulse Noise in Medical Images
Journal of Medical Systems / Oct 02, 2018
HosseinKhani, Z., Hajabdollahi, M., Karimi, N., Soroushmehr, R., Shirani, S., Najarian, K., & Samavi, S. (2018). Adaptive Real-Time Removal of Impulse Noise in Medical Images. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1074-7
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies
IEEE Journal of Biomedical and Health Informatics / Jan 01, 2023
Yao, H., Derksen, H., Golbus, J. R., Zhang, J., Aaronson, K. D., Gryak, J., & Najarian, K. (2023). A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics, 27(1), 239–250. https://doi.org/10.1109/jbhi.2022.3211765
Aminda J. O'Hare
Director of Neuroscience and Associate Professor of Psychological Science at Weber State University
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25 total publications
Processing of Emotional Distraction Is Both Automatic and Modulated by Attention: Evidence from an Event-related fMRI Investigation
Journal of Cognitive Neuroscience / May 01, 2012
Shafer, A. T., Matveychuk, D., Penney, T., O’Hare, A. J., Stokes, J., & Dolcos, F. (2012). Processing of Emotional Distraction Is Both Automatic and Modulated by Attention: Evidence from an Event-related fMRI Investigation. Journal of Cognitive Neuroscience, 24(5), 1233–1252. https://doi.org/10.1162/jocn_a_00206
Increased neural sensitivity to self‐relevant stimuli in major depressive disorder
Psychophysiology / Feb 22, 2019
Benau, E. M., Hill, K. E., Atchley, R. A., O’Hare, A. J., Gibson, L. J., Hajcak, G., Ilardi, S. S., & Foti, D. (2019). Increased neural sensitivity to self‐relevant stimuli in major depressive disorder. Psychophysiology, 56(7). Portico. https://doi.org/10.1111/psyp.13345
Individual differences in social intelligence and perception of emotion expression of masked and unmasked faces
Cognitive Research: Principles and Implications / Jun 28, 2022
Swain, R. H., O’Hare, A. J., Brandley, K., & Gardner, A. T. (2022). Individual differences in social intelligence and perception of emotion expression of masked and unmasked faces. Cognitive Research: Principles and Implications, 7(1). https://doi.org/10.1186/s41235-022-00408-3
Emotion disrupts neural activity during selective attention in psychopathy
Social Cognitive and Affective Neuroscience / Dec 29, 2011
Sadeh, N., Spielberg, J. M., Heller, W., Herrington, J. D., Engels, A. S., Warren, S. L., Crocker, L. D., Sutton, B. P., & Miller, G. A. (2011). Emotion disrupts neural activity during selective attention in psychopathy. Social Cognitive and Affective Neuroscience, 8(3), 235–246. https://doi.org/10.1093/scan/nsr092
Neural Correlates of Local and Global Expectations: A Test of the Janus Model
NeuroImage / Jul 01, 2009
Dien, J., & O’Hare, A. (2009). Neural Correlates of Local and Global Expectations: A Test of the Janus Model. NeuroImage, 47, S189. https://doi.org/10.1016/s1053-8119(09)72120-2
Suhas Chelian
Lead in machine learning, neuroscience
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18 total publications
Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex
Biologically Inspired Cognitive Architectures / Oct 01, 2012
Srinivasa, N., & Chelian, S. E. (2012). Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex. Biologically Inspired Cognitive Architectures, 2, 13–24. https://doi.org/10.1016/j.bica.2012.07.001
Application of a neural network model of prefrontal cortex to emulate human probability matching behavior
Biologically Inspired Cognitive Architectures / Oct 01, 2014
Chelian, S. E., Uhlenbrock, R. M., Herd, S., & Bhattacharyya, R. (2014). Application of a neural network model of prefrontal cortex to emulate human probability matching behavior. Biologically Inspired Cognitive Architectures, 10, 10–16. https://doi.org/10.1016/j.bica.2014.11.002
Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex
Biologically Inspired Cognitive Architectures / Oct 01, 2014
Phillips, M. E., Chelian, S. E., Pirolli, P., & Bhattacharyya, R. (2014). Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex. Biologically Inspired Cognitive Architectures, 10, 17–23. https://doi.org/10.1016/j.bica.2014.11.003
DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Neural Networks / Jan 01, 2013
Carpenter, G. A., & Chelian, S. E. (2013). DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis. Neural Networks, 37, 93–102. https://doi.org/10.1016/j.neunet.2012.08.012
A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system
Biologically Inspired Cognitive Architectures / Oct 01, 2014
Ziegler, M. D., Chelian, S. E., Benvenuto, J., Krichmar, J. L., O’Reilly, R., & Bhattacharyya, R. (2014). A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system. Biologically Inspired Cognitive Architectures, 10, 61–67. https://doi.org/10.1016/j.bica.2014.11.008
Ariel Aptekmann
Bioinformatician at Hackensack Meridian Hospital Center for Discovery and Innovation
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24 total publications
mebipred: identifying metal-binding potential in protein sequence
Bioinformatics / May 27, 2022
Aptekmann, A. A., Buongiorno, J., Giovannelli, D., Glamoclija, M., Ferreiro, D. U., & Bromberg, Y. (2022). mebipred: identifying metal-binding potential in protein sequence. Bioinformatics, 38(14), 3532–3540. https://doi.org/10.1093/bioinformatics/btac358
Niko Popitsch
Senior Bioinformatician, University of Vienna
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Most Relevant Publications (4+)
63 total publications
ReliableGenome: annotation of genomic regions with high/low variant calling concordance
Bioinformatics / Sep 07, 2016
Popitsch, N., Schuh, A., & Taylor, J. C. (2016). ReliableGenome: annotation of genomic regions with high/low variant calling concordance. Bioinformatics, 33(2), 155–160. https://doi.org/10.1093/bioinformatics/btw587
CODOC: efficient access, analysis and compression of depth of coverage signals
Bioinformatics / May 28, 2014
Popitsch, N. (2014). CODOC: efficient access, analysis and compression of depth of coverage signals. Bioinformatics, 30(18), 2676–2677. https://doi.org/10.1093/bioinformatics/btu362
VARAN-GIE: curation of genomic interval sets
Bioinformatics / Aug 21, 2018
Popitsch, N. (2018). VARAN-GIE: curation of genomic interval sets. Bioinformatics, 35(5), 868–870. https://doi.org/10.1093/bioinformatics/bty723
Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data
Bioinformatics / Jul 16, 2021
Popitsch, N., Preuner, S., & Lion, T. (2021). Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data. Bioinformatics, 37(24), 4620–4625. https://doi.org/10.1093/bioinformatics/btab526
Barry Setlow
Dept. of Psychiatry; Center for Addiction Research and Education, University of Florida
Most Relevant Research Interests
Other Research Interests (36)
Most Relevant Publications (15+)
111 total publications
Lesions of Orbitofrontal Cortex and Basolateral Amygdala Complex Disrupt Acquisition of Odor-Guided Discriminations and Reversals
Learning & Memory / Mar 01, 2003
Schoenbaum, G., Setlow, B., Nugent, S. L., Saddoris, M. P., & Gallagher, M. (2003). Lesions of Orbitofrontal Cortex and Basolateral Amygdala Complex Disrupt Acquisition of Odor-Guided Discriminations and Reversals. Learning & Memory, 10(2), 129–140. https://doi.org/10.1101/lm.55203
Integrating Orbitofrontal Cortex into Prefrontal Theory: Common Processing Themes across Species and Subdivisions
Learning & Memory / May 01, 2001
Schoenbaum, G., & Setlow, B. (2001). Integrating Orbitofrontal Cortex into Prefrontal Theory: Common Processing Themes across Species and Subdivisions. Learning & Memory, 8(3), 134–147. https://doi.org/10.1101/lm.39901
Acute vagus nerve stimulation enhances reversal learning in rats
Neurobiology of Learning and Memory / Oct 01, 2021
Altidor, L. K.-P., Bruner, M. M., Deslauriers, J. F., Garman, T. S., Ramirez, S., Dirr, E. W., Olczak, K. P., Maurer, A. P., Lamb, D. G., Otto, K. J., Burke, S. N., Bumanglag, A. V., Setlow, B., & Bizon, J. L. (2021). Acute vagus nerve stimulation enhances reversal learning in rats. Neurobiology of Learning and Memory, 184, 107498. https://doi.org/10.1016/j.nlm.2021.107498
Enhancing effects of acute exposure to cannabis smoke on working memory performance
Neurobiology of Learning and Memory / Jan 01, 2019
Blaes, S. L., Orsini, C. A., Holik, H. M., Stubbs, T. D., Ferguson, S. N., Heshmati, S. C., Bruner, M. M., Wall, S. C., Febo, M., Bruijnzeel, A. W., Bizon, J. L., & Setlow, B. (2019). Enhancing effects of acute exposure to cannabis smoke on working memory performance. Neurobiology of Learning and Memory, 157, 151–162. https://doi.org/10.1016/j.nlm.2018.12.001
Deconstructing value-based decision making via temporally selective manipulation of neural activity: Insights from rodent models
Cognitive, Affective, & Behavioral Neuroscience / Oct 18, 2018
Orsini, C. A., Hernandez, C. M., Bizon, J. L., & Setlow, B. (2018). Deconstructing value-based decision making via temporally selective manipulation of neural activity: Insights from rodent models. Cognitive, Affective, & Behavioral Neuroscience, 19(3), 459–476. https://doi.org/10.3758/s13415-018-00649-0
Deficits in hippocampal‐dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis
Hippocampus / Oct 19, 2015
Montgomery, K. S., Edwards, G., Levites, Y., Kumar, A., Myers, C. E., Gluck, M. A., Setlow, B., & Bizon, J. L. (2015). Deficits in hippocampal‐dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis. Hippocampus, 26(4), 455–471. Portico. https://doi.org/10.1002/hipo.22535
Affective and cognitive mechanisms of risky decision making
Neurobiology of Learning and Memory / Jan 01, 2015
Shimp, K. G., Mitchell, M. R., Beas, B. S., Bizon, J. L., & Setlow, B. (2015). Affective and cognitive mechanisms of risky decision making. Neurobiology of Learning and Memory, 117, 60–70. https://doi.org/10.1016/j.nlm.2014.03.002
Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models
Neuroscience & Biobehavioral Reviews / Nov 01, 2015
Orsini, C. A., Moorman, D. E., Young, J. W., Setlow, B., & Floresco, S. B. (2015). Neural mechanisms regulating different forms of risk-related decision-making: Insights from animal models. Neuroscience & Biobehavioral Reviews, 58, 147–167. https://doi.org/10.1016/j.neubiorev.2015.04.009
Cocaine self-administration alters the relative effectiveness of multiple memory systems during extinction
Learning & Memory / Apr 23, 2009
Gabriele, A., Setlow, B., & Packard, M. G. (2009). Cocaine self-administration alters the relative effectiveness of multiple memory systems during extinction. Learning & Memory, 16(5), 296–299. https://doi.org/10.1101/lm.1253409
Long-term effects of prior cocaine exposure on Morris water maze performance
Neurobiology of Learning and Memory / Feb 01, 2008
Mendez, I. A., Montgomery, K. S., LaSarge, C. L., Simon, N. W., Bizon, J. L., & Setlow, B. (2008). Long-term effects of prior cocaine exposure on Morris water maze performance. Neurobiology of Learning and Memory, 89(2), 185–191. https://doi.org/10.1016/j.nlm.2007.08.005
Post-training amphetamine administration enhances memory consolidation in appetitive Pavlovian conditioning: Implications for drug addiction
Neurobiology of Learning and Memory / Nov 01, 2006
SIMON, N., & SETLOW, B. (2006). Post-training amphetamine administration enhances memory consolidation in appetitive Pavlovian conditioning: Implications for drug addiction. Neurobiology of Learning and Memory, 86(3), 305–310. https://doi.org/10.1016/j.nlm.2006.04.005
Cocaine Makes Actions Insensitive to Outcomes but not Extinction: Implications for Altered Orbitofrontal–Amygdalar Function
Cerebral Cortex / Nov 24, 2004
Schoenbaum, G., & Setlow, B. (2004). Cocaine Makes Actions Insensitive to Outcomes but not Extinction: Implications for Altered Orbitofrontal–Amygdalar Function. Cerebral Cortex, 15(8), 1162–1169. https://doi.org/10.1093/cercor/bhh216
D2 Dopamine Receptor Blockade Immediately Post-training Enhances Retention in Hidden and Visible Platform Versions of the Water Maze
Learning & Memory / May 01, 2000
Setlow, B., & McGaugh, J. L. (2000). D2 Dopamine Receptor Blockade Immediately Post-training Enhances Retention in Hidden and Visible Platform Versions of the Water Maze. Learning & Memory, 7(3), 187–191. https://doi.org/10.1101/lm.7.3.187