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Krzysztof Wolk

Professor

Research Interests

Machine Learning
AI
NLP
Multimedia
Control and Systems Engineering
Artificial Intelligence
Computational Theory and Mathematics
Theoretical Computer Science
Mechanical Engineering
Mechanics of Materials
Metals and Alloys
Applied Mathematics
Modeling and Simulation
Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Computer Vision and Pattern Recognition
Health Informatics
Radiological and Ultrasound Technology
Radiology, Nuclear Medicine and imaging
Cognitive Neuroscience
Computer Science Applications
Electrical and Electronic Engineering
Hardware and Architecture
Signal Processing
Applied Psychology
Social Psychology
Human-Computer Interaction
Communication

About

I hold a PhD Eng. degree in computer science. I am a graduate of the Polish-Japanese Academy of Information Technology in Warsaw, POLAND. Currently, I am associate professor at the Cathedral of Multimedia at the same university. I lead and conduct scientific projects and research related to natural language processing and machine learning based on statistical methods and neural networks. I eagerly take up IT challenges and engage in interesting interdisciplinary projects, in particular related to HCI, UX, medicine, and psychology. In addition, as my profession, I have worked as a lecturer at the Warsaw School of Photography, and as an IT trainer. My specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications, and server products from Apple and Microsoft. As far as my didactic work is concerned, I lead classroom studies at the faculty of computer science and at the new media art department of the Polish-Japanese Academy of Information Technology and, in the past, I have also directed classes and lectures at the Warsaw School of Photography & Graphic Design. I am also an expert at the Polish National Agency for Academic Exchange, a member of the Polish Information Processing Society, and a member of the Polish Telemedicine and eHealth Society with Bene Meritus honor. Finally, I am a certified Microsoft, Apple, Adobe, w3schools, and EITCA specialist as well as being the Author of many scientific monographs and specialized IT books related to machine learning, administration of servers, and multimedia. I also engage as an editor of various specialized IT web portals such as in4.pl, pclab.pl, and e-biotechnologia.pl where I am author of training materials, guides, and hardware reviews. Some of my articles have also been published in iCoder Magazine and Komputer Świat magazine.

Publications

Advanced social media sentiment analysis for short‐term cryptocurrency price prediction

Expert Systems / Nov 21, 2019

Wołk, K. (2019). Advanced social media sentiment analysis for short‐term cryptocurrency price prediction. Expert Systems, 37(2). Portico. https://doi.org/10.1111/exsy.12493

Automated speech-based screening of depression using deep convolutional neural networks

Procedia Computer Science / Jan 01, 2019

Chlasta, K., Wołk, K., & Krejtz, I. (2019). Automated speech-based screening of depression using deep convolutional neural networks. Procedia Computer Science, 164, 618–628. https://doi.org/10.1016/j.procs.2019.12.228

Neural-based Machine Translation for Medical Text Domain. Based on European Medicines Agency Leaflet Texts

Procedia Computer Science / Jan 01, 2015

Wołk, K., & Marasek, K. (2015). Neural-based Machine Translation for Medical Text Domain. Based on European Medicines Agency Leaflet Texts. Procedia Computer Science, 64, 2–9. https://doi.org/10.1016/j.procs.2015.08.456

Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs

Procedia Technology / Jan 01, 2014

Wołk, K., & Marasek, K. (2014). Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs. Procedia Technology, 18, 126–132. https://doi.org/10.1016/j.protcy.2014.11.024

Polish-English Statistical Machine Translation of Medical Texts

Advances in Intelligent Systems and Computing / Jan 01, 2015

Wołk, K., & Marasek, K. (2015). Polish-English Statistical Machine Translation of Medical Texts. In New Research in Multimedia and Internet Systems (pp. 169–179). Springer International Publishing. https://doi.org/10.1007/978-3-319-10383-9_16

Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title

Lecture Notes in Computer Science / Jan 01, 2017

Stokowiec, W., Trzciński, T., Wołk, K., Marasek, K., & Rokita, P. (2017). Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title. In Foundations of Intelligent Systems (pp. 136–145). Springer International Publishing. https://doi.org/10.1007/978-3-319-60438-1_14

A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation

Advances in Intelligent Systems and Computing / Jan 01, 2014

Wołk, K., & Marasek, K. (2014). A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation. In New Perspectives in Information Systems and Technologies, Volume 1 (pp. 229–237). Springer International Publishing. https://doi.org/10.1007/978-3-319-05951-8_22

Automatic transcription of the Polish newsreel

Poznan Studies in Contemporary Linguistics / Jun 26, 2019

Koržinek, D., Wołk, K., Brocki, Ł., & Marasek, K. (2019). Automatic transcription of the Polish newsreel. Poznan Studies in Contemporary Linguistics, 55(2), 183–209. https://doi.org/10.1515/psicl-2019-0008

A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms

Computational and Mathematical Methods in Medicine / Jan 01, 2017

Wołk, K., Wołk, A., & Glinkowski, W. (2017). A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms. Computational and Mathematical Methods in Medicine, 2017, 1–9. https://doi.org/10.1155/2017/4306416

Towards Computer-Based Automated Screening of Dementia Through Spontaneous Speech

Frontiers in Psychology / Feb 12, 2021

Chlasta, K., & Wołk, K. (2021). Towards Computer-Based Automated Screening of Dementia Through Spontaneous Speech. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.623237

COMPARISON AND ADAPTATION OF AUTOMATIC EVALUATION METRICS FOR QUALITY ASSESSMENT OF RE-SPEAKING

Computer Science / Jan 01, 2017

Wołk, K., & Koržinek, D. (2017). COMPARISON AND ADAPTATION OF AUTOMATIC EVALUATION METRICS FOR QUALITY ASSESSMENT OF RE-SPEAKING. Computer Science, 18(2), 129. https://doi.org/10.7494/csci.2017.18.2.129

Enhanced Bilingual Evaluation Understudy

Lecture Notes on Information Theory / Jan 01, 2014

Wołk, K., & Marasek, K. (2014). Enhanced Bilingual Evaluation Understudy. Lecture Notes on Information Theory. https://doi.org/10.12720/lnit.2.2.191-197

Real-Time Statistical Speech Translation

Advances in Intelligent Systems and Computing / Jan 01, 2014

Wołk, K., & Marasek, K. (2014). Real-Time Statistical Speech Translation. In New Perspectives in Information Systems and Technologies, Volume 1 (pp. 107–113). Springer International Publishing. https://doi.org/10.1007/978-3-319-05951-8_11

Early and Remote Detection of Possible Heartbeat Problems With Convolutional Neural Networks and Multipart Interactive Training

IEEE Access / Jan 01, 2019

Wolk, K., & Wolk, A. (2019). Early and Remote Detection of Possible Heartbeat Problems With Convolutional Neural Networks and Multipart Interactive Training. IEEE Access, 7, 145921–145927. https://doi.org/10.1109/access.2019.2919485

Deep Learning in State-of-the-Art Image Classification Exceeding 99% Accuracy

Advances in Intelligent Systems and Computing / Jan 01, 2019

Zawadzka-Gosk, E., Wołk, K., & Czarnowski, W. (2019). Deep Learning in State-of-the-Art Image Classification Exceeding 99% Accuracy. In New Knowledge in Information Systems and Technologies (pp. 946–957). Springer International Publishing. https://doi.org/10.1007/978-3-030-16181-1_89

Telemedicine as a special case of machine translation

Computerized Medical Imaging and Graphics / Dec 01, 2015

Wołk, K., Marasek, K., & Glinkowski, W. (2015). Telemedicine as a special case of machine translation. Computerized Medical Imaging and Graphics, 46, 249–256. https://doi.org/10.1016/j.compmedimag.2015.09.005

Translation of Medical Texts using Neural Networks

Deep Learning and Neural Networks / Jan 01, 2020

Wolk, K., & Marasek, K. P. (2020). Translation of Medical Texts using Neural Networks. In Deep Learning and Neural Networks (pp. 1137–1154). IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch063

Survey on Neural Machine Translation into Polish

Cryptology and Network Security / Aug 15, 2018

Wolk, K., & Marasek, K. (2018). Survey on Neural Machine Translation into Polish. In Lecture Notes in Computer Science (pp. 260–272). Springer International Publishing. https://doi.org/10.1007/978-3-319-98678-4_27

Tuned and GPU-Accelerated Parallel Data Mining from Comparable Corpora

Text, Speech, and Dialogue / Jan 01, 2015

Wołk, K., & Marasek, K. (2015). Tuned and GPU-Accelerated Parallel Data Mining from Comparable Corpora. In Lecture Notes in Computer Science (pp. 32–40). Springer International Publishing. https://doi.org/10.1007/978-3-319-24033-6_4

Pictogram-based mobile first medical aid communicator

Procedia Computer Science / Jan 01, 2017

Wołk, K., Wołk, A., Marasek, K., & Glinkowski, W. (2017). Pictogram-based mobile first medical aid communicator. Procedia Computer Science, 121, 3–10. https://doi.org/10.1016/j.procs.2017.11.002

Exploration for Polish-* bi-lingual translation equivalents from comparable and quasi-comparable corpora.

Annals of Computer Science and Information Systems / Oct 02, 2016

Wołk, K., Marasek, K., & Wołk, A. (2016, October 2). Exploration for Polish-* bi-lingual translation equivalents from comparable and quasi-comparable corpora. Proceedings of the 2016 Federated Conference on Computer Science and Information Systems. https://doi.org/10.15439/2016f304

Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level

Computer Science / Jan 01, 2015

Krzysztof, W. (2015). Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level. Computer Science, 16(2), 169. https://doi.org/10.7494/csci.2015.16.2.169

Big Data Language Model of Contemporary Polish

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems / Sep 24, 2017

Wołk, K., Wołk, A., & Marasek, K. (2017, September 24). Big Data Language Model of Contemporary Polish. Annals of Computer Science and Information Systems. https://doi.org/10.15439/2017f432

Unsupervised tool for quantification of progress in L2 English phraseological

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems / Sep 24, 2017

Wołk, K., Wołk, A., & Marasek, K. (2017, September 24). Unsupervised tool for quantification of progress in L2 English phraseological. Annals of Computer Science and Information Systems. https://doi.org/10.15439/2017f433

Implementing Statistical Machine Translation into Mobile Augmented Reality Systems

Advances in Intelligent Systems and Computing / Aug 17, 2016

Wołk, K., Wołk, A., & Marasek, K. (2016). Implementing Statistical Machine Translation into Mobile Augmented Reality Systems. In Multimedia and Network Information Systems (pp. 61–73). Springer International Publishing. https://doi.org/10.1007/978-3-319-43982-2_6

Survey on dialogue systems including slavic languages

Neurocomputing / Mar 01, 2022

Wołk, K., Wołk, A., Wnuk, D., Grześ, T., & Skubis, I. (2022). Survey on dialogue systems including slavic languages. Neurocomputing, 477, 62–84. https://doi.org/10.1016/j.neucom.2021.11.076

Analysis of Complexity Between Spoken and Written Language for Statistical Machine Translation in West-Slavic Group

Advances in Intelligent Systems and Computing / Aug 17, 2016

Wołk, A., Wołk, K., & Marasek, K. (2016). Analysis of Complexity Between Spoken and Written Language for Statistical Machine Translation in West-Slavic Group. In Multimedia and Network Information Systems (pp. 251–260). Springer International Publishing. https://doi.org/10.1007/978-3-319-43982-2_22

Semi-automatic and Human-Aided Translation Evaluation Metric (HMEANT) for Polish Language in Re-speaking and MT Assessment

Advances in Intelligent Systems and Computing / Aug 17, 2016

Wołk, K., Korzinek, D., & Marasek, K. (2016). Semi-automatic and Human-Aided Translation Evaluation Metric (HMEANT) for Polish Language in Re-speaking and MT Assessment. In Multimedia and Network Information Systems (pp. 241–249). Springer International Publishing. https://doi.org/10.1007/978-3-319-43982-2_21

Harvesting Comparable Corpora and Mining Them for Equivalent Bilingual Sentences Using Statistical Classification and Analogy-Based Heuristics

Lecture Notes in Computer Science / Jan 01, 2015

Wołk, K., Rejmund, E., & Marasek, K. (2015). Harvesting Comparable Corpora and Mining Them for Equivalent Bilingual Sentences Using Statistical Classification and Analogy-Based Heuristics. In Foundations of Intelligent Systems (pp. 433–441). Springer International Publishing. https://doi.org/10.1007/978-3-319-25252-0_46

Precise eye-tracking technology in medical communicator prototype

Procedia Computer Science / Jan 01, 2018

Cholewa, N., Wołk, K., & Wołk, R. (2018). Precise eye-tracking technology in medical communicator prototype. Procedia Computer Science, 138, 264–271. https://doi.org/10.1016/j.procs.2018.10.038

Enhancing the Assessment of (Polish) Translation in PROMIS Using Statistical, Semantic, and Neural Network Metrics

Advances in Intelligent Systems and Computing / Jan 01, 2018

Wołk, K., Glinkowski, W., & Żukowska, A. (2018). Enhancing the Assessment of (Polish) Translation in PROMIS Using Statistical, Semantic, and Neural Network Metrics. In Trends and Advances in Information Systems and Technologies (pp. 351–366). Springer International Publishing. https://doi.org/10.1007/978-3-319-77712-2_34

Machine enhanced translation of the Human Phenotype Ontology project

Procedia Computer Science / Jan 01, 2017

Wołk, K., & Wołk, A. (2017). Machine enhanced translation of the Human Phenotype Ontology project. Procedia Computer Science, 121, 11–18. https://doi.org/10.1016/j.procs.2017.11.003

Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot

Electronics / Jul 28, 2021

Wołk, K. (2021). Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot. Electronics, 10(15), 1813. https://doi.org/10.3390/electronics10151813

Search results based N-best hypothesis rescoring with maximum entropy classification

2013 IEEE Workshop on Automatic Speech Recognition and Understanding / Dec 01, 2013

Peng, F., Roy, S., Shahshahani, B., & Beaufays, F. (2013, December). Search results based N-best hypothesis rescoring with maximum entropy classification. 2013 IEEE Workshop on Automatic Speech Recognition and Understanding. https://doi.org/10.1109/asru.2013.6707767

Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach

Interspeech 2020 / Oct 25, 2020

Wołk, K. (2020, October 25). Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach. Interspeech 2020. https://doi.org/10.21437/interspeech.2020-1207

Machine Learning in Translation Corpora Processing

Feb 25, 2019

Wolk, K. (2019, February 25). Machine Learning in Translation Corpora Processing (K. Wołk, Ed.). CRC Press. https://doi.org/10.1201/9780429197543

Emergency, Pictogram-Based Augmented Reality Medical Communicator Prototype Using Precise Eye-Tracking Technology

Cyberpsychology, Behavior, and Social Networking / Feb 01, 2019

Wołk, K. (2019). Emergency, Pictogram-Based Augmented Reality Medical Communicator Prototype Using Precise Eye-Tracking Technology. Cyberpsychology, Behavior, and Social Networking, 22(2), 151–157. https://doi.org/10.1089/cyber.2018.0035

PJIIT’s systems for WMT 2017 Conference

Proceedings of the Second Conference on Machine Translation / Jan 01, 2017

Wolk, K., & Marasek, K. (2017). PJIIT’s systems for WMT 2017 Conference. Proceedings of the Second Conference on Machine Translation. https://doi.org/10.18653/v1/w17-4743

Deep Learning and Sub-Word-Unit Approach in Written Art Generation

Advances in Intelligent Systems and Computing / Jan 01, 2019

Wołk, K., Zawadzka-Gosk, E., & Czarnowski, W. (2019). Deep Learning and Sub-Word-Unit Approach in Written Art Generation. In New Knowledge in Information Systems and Technologies (pp. 303–315). Springer International Publishing. https://doi.org/10.1007/978-3-030-16181-1_29

Statistical Approach to Noisy-Parallel and Comparable Corpora Filtering for the Extraction of Bi-lingual Equivalent Data at Sentence-Level

Advances in Intelligent Systems and Computing / Jan 01, 2018

Wołk, K., Zawadzka, E., & Wołk, A. (2018). Statistical Approach to Noisy-Parallel and Comparable Corpora Filtering for the Extraction of Bi-lingual Equivalent Data at Sentence-Level. In Trends and Advances in Information Systems and Technologies (pp. 797–812). Springer International Publishing. https://doi.org/10.1007/978-3-319-77703-0_79

ArXiv preprint server plans multimillion-dollar overhaul

Nature / Jun 29, 2016

Van Noorden, R. (2016). ArXiv preprint server plans multimillion-dollar overhaul. Nature, 534(7609), 602–602. https://doi.org/10.1038/534602a

PJAIT Systems for the WMT 2016

Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers / Jan 01, 2016

Wolk, K., & Marasek, K. (2016). PJAIT Systems for the WMT 2016. Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers. https://doi.org/10.18653/v1/w16-2328

Mining BilingualWord Pairs from Comparable Corpus using Apache Spark Framework

Proceedings of the 14thWorkshop on Building and Using Comparable Corpora (BUCC 2021) / Jan 01, 2021

JP, S., Menon, V. K., KP, S., & Wolk, K. (2021). Mining BilingualWord Pairs from Comparable Corpus using Apache Spark Framework. Proceedings of the 14thWorkshop on Building and Using Comparable Corpora (BUCC 2021). https://doi.org/10.26615/978-954-452-076-2_002

Evaluating Natural Language Processing tools for Polish during PolEval 2019

Human Language Technology. Challenges for Computer Science and Linguistics / Jan 01, 2022

Kobyliński, Ł., Ogrodniczuk, M., Kocoń, J., Marcińczuk, M., Smywiński-Pohl, A., Wołk, K., Koržinek, D., Ptaszynski, M., Pieciukiewicz, A., & Dybała, P. (2022). Evaluating Natural Language Processing tools for Polish during PolEval 2019. In Lecture Notes in Computer Science (pp. 303–321). Springer International Publishing. https://doi.org/10.1007/978-3-031-05328-3_20

Augmenting SMT with Semantically-Generated Virtual-Parallel Corpora from Monolingual Texts

Advances in Intelligent Systems and Computing / Jan 01, 2018

Wołk, K., & Wołk, A. (2018). Augmenting SMT with Semantically-Generated Virtual-Parallel Corpora from Monolingual Texts. In Trends and Advances in Information Systems and Technologies (pp. 358–374). Springer International Publishing. https://doi.org/10.1007/978-3-319-77703-0_37

Bio-Algorithms and Med-Systems

Bio-Algorithms and Med-Systems. (n.d.). https://doi.org/10.2478/bams

Analysis of Machine Learning techniques for identification of post translation modification in protein sequencing: A Review

2021 International Conference on Innovative Computing (ICIC) / Nov 09, 2021

Shah, A. A., Ehsan, M. K., Sohail, A., & Ilyas, S. (2021, November 9). Analysis of Machine Learning techniques for identification of post translation modification in protein sequencing: A Review. 2021 International Conference on Innovative Computing (ICIC). https://doi.org/10.1109/icic53490.2021.9693020

Semantic approach for building generated virtual-parallel corpora from monolingual texts

Poznan Studies in Contemporary Linguistics / Jun 26, 2019

Wołk, K., Wołk, A., & Marasek, K. (2019). Semantic approach for building generated virtual-parallel corpora from monolingual texts. Poznan Studies in Contemporary Linguistics, 55(2), 469–490. https://doi.org/10.1515/psicl-2019-0017

Results and Conclusions

Machine Learning in Translation Corpora Processing / Feb 25, 2019

Wołk, K. (Ed.). (2019). Results and Conclusions. In Machine Learning in Translation Corpora Processing (pp. 118–237). CRC Press. https://doi.org/10.1201/9780429197543-5

SEMANTIC-ENABLED HYBRID GENETIC DISEASE DIAGNOSTICS IN NEXT-GENERATION SEQUENCED DATA

Computer Science / Jan 01, 2018

Zawadzka-Gosk, E., & Wolk, K. (2018). SEMANTIC-ENABLED HYBRID GENETIC DISEASE DIAGNOSTICS IN NEXT-GENERATION SEQUENCED DATA. Computer Science, 19(2), 179. https://doi.org/10.7494/csci.2018.19.2.2319

Mixing Textual Data Selection Methods for Improved In-Domain Data Adaptation

Advances in Intelligent Systems and Computing / Jan 01, 2018

Wołk, K. (2018). Mixing Textual Data Selection Methods for Improved In-Domain Data Adaptation. In Trends and Advances in Information Systems and Technologies (pp. 367–377). Springer International Publishing. https://doi.org/10.1007/978-3-319-77712-2_35

Automated Medical Articles Analysis for Human Genetic Diagnostic

Procedia Computer Science / Jan 01, 2017

Zawadzka, E., Wołk, K., & Marasek, K. (2017). Automated Medical Articles Analysis for Human Genetic Diagnostic. Procedia Computer Science, 121, 797–802. https://doi.org/10.1016/j.procs.2017.11.103

Augmenting SMT with Generated Pseudo-parallel Corpora from Monolingual News Resources

Advances in Intelligent Systems and Computing / Jan 01, 2017

Wołk, K., & Wołk, A. (2017). Augmenting SMT with Generated Pseudo-parallel Corpora from Monolingual News Resources. In Recent Advances in Information Systems and Technologies (pp. 308–316). Springer International Publishing. https://doi.org/10.1007/978-3-319-56535-4_31

Automatic Parallel Data Mining After Bilingual Document Alignment

Advances in Intelligent Systems and Computing / Jan 01, 2017

Wołk, K., & Wołk, A. (2017). Automatic Parallel Data Mining After Bilingual Document Alignment. In Recent Advances in Information Systems and Technologies (pp. 317–327). Springer International Publishing. https://doi.org/10.1007/978-3-319-56535-4_32

Unsupervised Construction of Quasi-comparable Corpora and Probing for Parallel Textual Data

Advances in Intelligent Systems and Computing / Aug 17, 2016

Wołk, K., & Marasek, K. (2016). Unsupervised Construction of Quasi-comparable Corpora and Probing for Parallel Textual Data. In Multimedia and Network Information Systems (pp. 307–320). Springer International Publishing. https://doi.org/10.1007/978-3-319-43982-2_27

Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results

Journal of Computers / Jan 01, 2016

Wołk, A., Wołk, K., & Marasek, K. (2016). Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results. Journal of Computers, 11(1), 33–40. https://doi.org/10.17706/jcp.11.1.33-40

None

Definitions / Feb 07, 2020

(2020). None. In Definitions. Qeios. https://doi.org/10.32388/ubulq2

Statistical Machine Translation and Comparable Corpora

Machine Learning in Translation Corpora Processing / Feb 25, 2019

Wołk, K. (Ed.). (2019). Statistical Machine Translation and Comparable Corpora. In Machine Learning in Translation Corpora Processing (pp. 10–58). CRC Press. https://doi.org/10.1201/9780429197543-2

PRE-TRAINED DEEP NEURAL NETWORK USING SPARSE AUTOENCODERS AND SCATTERING WAVELET TRANSFORM FOR MUSICAL GENRE RECOGNITION

Computer Science / Jan 01, 2015

Mariusz, K., & Danijel, K. (2015). PRE-TRAINED DEEP NEURAL NETWORK USING SPARSE AUTOENCODERS AND SCATTERING WAVELET TRANSFORM FOR MUSICAL GENRE RECOGNITION. Computer Science, 16(2), 133. https://doi.org/10.7494/csci.2015.16.2.133

Education

Ph.D., AI & NLP / February, 2016

Warsaw

Experience

Senior AI/NLP Researcher and Manager

Links & Social Media

Research Web Site

ORCID
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