Work with academic experts in artificial intelligence
A scholar or researcher with expertise in artificial intelligence can help business and industrial clients solve their artificial intelligence problems and conduct artificial intelligence research to get ahead on R&D. Experts on NotedSource with backgrounds in artificial intelligence include Konstantinos Tsavdaridis, Tim Osswald, Keiran Thompson, Serena Booth, Larry Walker, Suhang Wang, Jim Samuel, Edoardo Airoldi, Panos Ipeirotis, Tim Leung, Elena Di Rosa, Leilani Gilpin, Mark Ryan, Josephina Antoniou, Bernd Stahl, Anna Jobin, Ryan Howell, Curtis McCoy , Maria Elena Placencia, Paola Dussias, Stephen Adamo, and Dr. Charles Lassiter, Ph.D..
Konstantinos Tsavdaridis
Full Professor of Structural Engineering, Chartered Civil and Structural Engineer
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110 total publications
Embodied Energy Optimization of Steel-Concrete Composite Beams using a Genetic Algorithm
Procedia Manufacturing / Jan 01, 2020
Whitworth, A. H., & Tsavdaridis, K. D. (2020). Embodied Energy Optimization of Steel-Concrete Composite Beams using a Genetic Algorithm. Procedia Manufacturing, 44, 417–424. https://doi.org/10.1016/j.promfg.2020.02.275
Shape Optimization of Assembled Single-Layer Grid Structure with Semi-Rigid Joints
Procedia Manufacturing / Jan 01, 2020
Tsavdaridis, K. D., Feng, R., & Liu, F. (2020). Shape Optimization of Assembled Single-Layer Grid Structure with Semi-Rigid Joints. Procedia Manufacturing, 44, 12–19. https://doi.org/10.1016/j.promfg.2020.02.199
Tim Osswald
Polymers Professor - University of Wisconsin
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117 total publications
Technical Development of Multi-Resin Three-Dimensional Printer Using Bottom-Up Method
International Journal of Automation and Smart Technology / Dec 01, 2018
Jiang, C.-P. (2018). Technical Development of Multi-Resin Three-Dimensional Printer Using Bottom-Up Method. International Journal of Automation and Smart Technology, 8(4), 173–178. https://doi.org/10.5875/ausmt.v8i4.1840
Serena Booth
Robotics Research Scientist - MIT
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Other Research Interests (14)
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17 total publications
IEEE P7001: A Proposed Standard on Transparency
Frontiers in Robotics and AI / Jul 26, 2021
Winfield, A. F. T., Booth, S., Dennis, L. A., Egawa, T., Hastie, H., Jacobs, N., Muttram, R. I., Olszewska, J. I., Rajabiyazdi, F., Theodorou, A., Underwood, M. A., Wortham, R. H., & Watson, E. (2021). IEEE P7001: A Proposed Standard on Transparency. Frontiers in Robotics and AI, 8. https://doi.org/10.3389/frobt.2021.665729
Reward (Mis)design for autonomous driving
Artificial Intelligence / Mar 01, 2023
Knox, W. B., Allievi, A., Banzhaf, H., Schmitt, F., & Stone, P. (2023). Reward (Mis)design for autonomous driving. Artificial Intelligence, 316, 103829. https://doi.org/10.1016/j.artint.2022.103829
Reward (Mis)design for autonomous driving
Artificial Intelligence / Mar 01, 2023
Knox, W. B., Allievi, A., Banzhaf, H., Schmitt, F., & Stone, P. (2023). Reward (Mis)design for autonomous driving. Artificial Intelligence, 316, 103829. https://doi.org/10.1016/j.artint.2022.103829
Suhang Wang
Professor at Pennsylvania State University
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Most Relevant Publications (9+)
96 total publications
A Generative Model for category text generation
Information Sciences / Jun 01, 2018
Li, Y., Pan, Q., Wang, S., Yang, T., & Cambria, E. (2018). A Generative Model for category text generation. Information Sciences, 450, 301–315. https://doi.org/10.1016/j.ins.2018.03.050
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
Learning binary codes with neural collaborative filtering for efficient recommendation systems
Knowledge-Based Systems / May 01, 2019
Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172, 64–75. https://doi.org/10.1016/j.knosys.2019.02.012
Disentangled Variational Auto-Encoder for semi-supervised learning
Information Sciences / May 01, 2019
Li, Y., Pan, Q., Wang, S., Peng, H., Yang, T., & Cambria, E. (2019). Disentangled Variational Auto-Encoder for semi-supervised learning. Information Sciences, 482, 73–85. https://doi.org/10.1016/j.ins.2018.12.057
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
Random-Forest-Inspired Neural Networks
ACM Transactions on Intelligent Systems and Technology / Oct 29, 2018
Wang, S., Aggarwal, C., & Liu, H. (2018). Random-Forest-Inspired Neural Networks. ACM Transactions on Intelligent Systems and Technology, 9(6), 1–25. https://doi.org/10.1145/3232230
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
Understanding and Identifying Rhetorical Questions in Social Media
ACM Transactions on Intelligent Systems and Technology / Jan 10, 2018
Ranganath, S., Hu, X., Tang, J., Wang, S., & Liu, H. (2018). Understanding and Identifying Rhetorical Questions in Social Media. ACM Transactions on Intelligent Systems and Technology, 9(2), 1–22. https://doi.org/10.1145/3108364
Semi-supervised anomaly detection in dynamic communication networks
Information Sciences / Sep 01, 2021
Meng, X., Wang, S., Liang, Z., Yao, D., Zhou, J., & Zhang, Y. (2021). Semi-supervised anomaly detection in dynamic communication networks. Information Sciences, 571, 527–542. https://doi.org/10.1016/j.ins.2021.04.056
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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106 total publications
A Survey of Statistical Network Models
Foundations and Trends® in Machine Learning / Jan 01, 2009
Goldenberg, A. (2009). A Survey of Statistical Network Models. Foundations and Trends® in Machine Learning, 2(2), 129–233. https://doi.org/10.1561/2200000005
Panos Ipeirotis
Professor at New York University
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155 total publications
Amazon Mechanical Turk: Gold Mine or Coal Mine?
Computational Linguistics / Jun 01, 2011
Fort, K., Adda, G., & Cohen, K. B. (2011). Amazon Mechanical Turk: Gold Mine or Coal Mine? Computational Linguistics, 37(2), 413–420. https://doi.org/10.1162/coli_a_00057
Tim Leung
Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
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138 total publications
Special Issue on AI and FinTech: The Challenge Ahead
IEEE Intelligent Systems / Mar 01, 2020
Cao, L., Yuan, G., Leung, T., & Zhang, W. (2020). Special Issue on AI and FinTech: The Challenge Ahead. IEEE Intelligent Systems, 35(2), 3–6. https://doi.org/10.1109/mis.2020.2983494
Elena Di Rosa
Philosophy Ph.D. Candidate, Princeton University
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Other Research Interests (5)
Most Relevant Publications (1+)
1 total publications
Technology can’t fix this
Nature Machine Intelligence / Jul 15, 2020
Technology can’t fix this. (2020). Nature Machine Intelligence, 2(7), 363–363. https://doi.org/10.1038/s42256-020-0210-5
Leilani Gilpin
Assistant Professor of Computer Science - UC Santa Cruz
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30 total publications
Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data
AI Magazine / Jul 04, 2016
Liu, J., Bier, E., Wilson, A., Guerra-Gomez, J. A., Honda, T., Sricharan, K., Gilpin, L., & Davies, D. (2016). Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data. AI Magazine, 37(2), 33–46. https://doi.org/10.1609/aimag.v37i2.2630
ICAIL Doctoral Consortium, Montreal 2019
Artificial Intelligence and Law / May 26, 2020
Araszkiewicz, M., Amantea, I. A., Chakravarty, S., van Doesburg, R., Dymitruk, M., Garin, M., Gilpin, L., Odekerken, D., & Salehi, S. S. (2020). ICAIL Doctoral Consortium, Montreal 2019. Artificial Intelligence and Law, 28(2), 267–280. https://doi.org/10.1007/s10506-020-09267-z
Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning
AI & SOCIETY / Mar 16, 2022
Jenkins, R., Hammond, K., Spurlock, S., & Gilpin, L. (2022). Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01417-y
Reports of the AAAI 2019 Spring Symposium Series
AI Magazine / Sep 30, 2019
Baldini, I., Barrett, C., Chella, A., Cinelli, C., Gamez, D., Gilpin, L., Hinkelmann, K., Holmes, D., Kido, T., Kocaoglu, M., Lawless, W., Lomuscio, A., Macbeth, J., Martin, A., Mittu, R., Patterson, E., Sofge, D., Tadepalli, P., Takadama, K., & Wilson, S. (2019). Reports of the AAAI 2019 Spring Symposium Series. AI Magazine, 40(3), 59–66. https://doi.org/10.1609/aimag.v40i3.5181
Mark Ryan
Digital Ethics Researcher at Wageningen Economic Research
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40 total publications
Organisational responses to the ethical issues of artificial intelligence
AI & SOCIETY / Feb 16, 2021
Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI & SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6
The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature
AI & SOCIETY / Jan 03, 2022
Ryan, M. (2022). The social and ethical impacts of artificial intelligence in agriculture: mapping the agricultural AI literature. AI & SOCIETY. https://doi.org/10.1007/s00146-021-01377-9
An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees
AI & SOCIETY / Mar 31, 2022
Ryan, M., Christodoulou, E., Antoniou, J., & Iordanou, K. (2022). An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01430-1
AI for Not Bad
Frontiers in Big Data / Sep 11, 2019
Moore, J. (2019). AI for Not Bad. Frontiers in Big Data, 2. https://doi.org/10.3389/fdata.2019.00032
Josephina Antoniou
Associate Professor - University of Central Lancashire
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51 total publications
Organisational responses to the ethical issues of artificial intelligence
AI & SOCIETY / Feb 16, 2021
Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI & SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6
An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees
AI & SOCIETY / Mar 31, 2022
Ryan, M., Christodoulou, E., Antoniou, J., & Iordanou, K. (2022). An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01430-1
Bernd Stahl
Director of the Centre for Computing and Social Responsibility
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145 total publications
Information, Ethics, and Computers: The Problem of Autonomous Moral Agents
Minds and Machines / Feb 01, 2004
Carsten Stahl, B. (2004). Information, Ethics, and Computers: The Problem of Autonomous Moral Agents. Minds and Machines, 14(1), 67–83. https://doi.org/10.1023/b:mind.0000005136.61217.93
Organisational responses to the ethical issues of artificial intelligence
AI & SOCIETY / Feb 16, 2021
Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2021). Organisational responses to the ethical issues of artificial intelligence. AI & SOCIETY, 37(1), 23–37. https://doi.org/10.1007/s00146-021-01148-6
Lorenzo Magnani, Morality in a Technological World: Knowledge as Duty
Minds and Machines / Apr 10, 2009
Stahl, B. C. (2009). Lorenzo Magnani, Morality in a Technological World: Knowledge as Duty. Minds and Machines, 19(2), 297–299. https://doi.org/10.1007/s11023-009-9147-5
Anna Jobin
Researcher at Alexander von Humboldt Institute for Internet and Society
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31 total publications
AI reflections in 2020
Nature Machine Intelligence / Jan 19, 2021
Jobin, A., Man, K., Damasio, A., Kaissis, G., Braren, R., Stoyanovich, J., Van Bavel, J. J., West, T. V., Mittelstadt, B., Eshraghian, J., Costa-jussà, M. R., Tzachor, A., Jamjoom, A. A. B., Taddeo, M., Sinibaldi, E., Hu, Y., & Luengo-Oroz, M. (2021). AI reflections in 2020. Nature Machine Intelligence, 3(1), 2–8. https://doi.org/10.1038/s42256-020-00281-z
Subnational AI policy: shaping AI in a multi-level governance system
AI & SOCIETY / Oct 15, 2022
Liebig, L., Güttel, L., Jobin, A., & Katzenbach, C. (2022). Subnational AI policy: shaping AI in a multi-level governance system. AI & SOCIETY. https://doi.org/10.1007/s00146-022-01561-5
The global landscape of AI ethics guidelines
Nature Machine Intelligence / Sep 02, 2019
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Ryan Howell
Professor of Psychology, Department of Psychology, San Francisco State University
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66 total publications
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
Curtis McCoy
Dovetail Cultural Resource Group
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Other Research Interests (12)
Most Relevant Publications (1+)
14 total publications
A Pedagogical Module Framework to Improve Scaffolded Active Learning in Manufacturing Engineering Education
Procedia Manufacturing / Jan 01, 2016
Mirkouei, A., Bhinge, R., McCoy, C., Haapala, K. R., & Dornfeld, D. A. (2016). A Pedagogical Module Framework to Improve Scaffolded Active Learning in Manufacturing Engineering Education. Procedia Manufacturing, 5, 1128–1142. https://doi.org/10.1016/j.promfg.2016.08.088
Maria Elena Placencia
Professor of Linguistics and Spanish, Birkbeck, University of London
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99 total publications
Regional pragmatic variation in the use of the discourse marker pues in informal talk among university students in Quito (Ecuador), Santiago (Chile) and Seville (Spain)
Journal of Pragmatics / May 01, 2016
Fuentes-Rodríguez, C., Placencia, M. E., & Palma-Fahey, M. (2016). Regional pragmatic variation in the use of the discourse marker pues in informal talk among university students in Quito (Ecuador), Santiago (Chile) and Seville (Spain). Journal of Pragmatics, 97, 74–92. https://doi.org/10.1016/j.pragma.2016.03.006
Paola Dussias
Professor of Spanish, Linguistics and Psychology, Penn State University
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87 total publications
Bilingual experience shapes language processing: Evidence from codeswitching
Journal of Memory and Language / Aug 01, 2017
Beatty-Martínez, A. L., & Dussias, P. E. (2017). Bilingual experience shapes language processing: Evidence from codeswitching. Journal of Memory and Language, 95, 173–189. https://doi.org/10.1016/j.jml.2017.04.002
Phonetic variation in bilingual speech: A lens for studying the production–comprehension link
Journal of Memory and Language / Aug 01, 2016
Fricke, M., Kroll, J. F., & Dussias, P. E. (2016). Phonetic variation in bilingual speech: A lens for studying the production–comprehension link. Journal of Memory and Language, 89, 110–137. https://doi.org/10.1016/j.jml.2015.10.001
Examining the relationship between comprehension and production processes in code-switched language
Journal of Memory and Language / Aug 01, 2016
Guzzardo Tamargo, R. E., Valdés Kroff, J. R., & Dussias, P. E. (2016). Examining the relationship between comprehension and production processes in code-switched language. Journal of Memory and Language, 89, 138–161. https://doi.org/10.1016/j.jml.2015.12.002
Corrigendum to “Bilingual experience shapes language processing: Evidence from codeswitching” [J. Memory Lang. 95 (2017) 173–189]
Journal of Memory and Language / Apr 01, 2018
Beatty-Martínez, A. L., & Dussias, P. E. (2018). Corrigendum to “Bilingual experience shapes language processing: Evidence from codeswitching” [J. Memory Lang. 95 (2017) 173–189]. Journal of Memory and Language, 99, 151. https://doi.org/10.1016/j.jml.2017.07.011
Corrigendum to “Bilingual experience shapes language processing: Evidence from codeswitching” [J. Memory Lang. 95 (2017) 173–189]
Journal of Memory and Language / Apr 01, 2018
Beatty-Martínez, A. L., & Dussias, P. E. (2018). Corrigendum to “Bilingual experience shapes language processing: Evidence from codeswitching” [J. Memory Lang. 95 (2017) 173–189]. Journal of Memory and Language, 99, 151. https://doi.org/10.1016/j.jml.2017.07.011
Stephen Adamo
Postdoctoral Researcher, University of Central Florida
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Other Research Interests (14)
Most Relevant Publications (1+)
35 total publications
Targets Need Their Own Personal Space: Effects of Clutter on Multiple-Target Search Accuracy
Perception / Aug 14, 2015
Adamo, S. H., Cain, M. S., & Mitroff, S. R. (2015). Targets Need Their Own Personal Space: Effects of Clutter on Multiple-Target Search Accuracy. Perception, 44(10), 1203–1214. https://doi.org/10.1177/0301006615594921
Dr. Charles Lassiter, Ph.D.
Associate professor of philosophy with publications on mind, language, knowledge, and culture
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Most Relevant Publications (1+)
22 total publications
Could a robot flirt? 4E cognition, reactive attitudes, and robot autonomy
AI & SOCIETY / Jan 02, 2021
Lassiter, C. (2021). Could a robot flirt? 4E cognition, reactive attitudes, and robot autonomy. AI & SOCIETY, 37(2), 675–686. https://doi.org/10.1007/s00146-020-01116-6