| Fusing enacted and expected mimicry generates a winning strategy that promotes the evolution of cooperation I Fischer, A Frid, SJ Goerg, SA Levin, DI Rubenstein, R Selten Proceedings of the National Academy of Sciences, 2013 | 37 | 2013 |
| Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques A Frid, H Hazan, D Hilu, L Manevitz, LO Ramig, S Sapir 2014 IEEE International Conference on Software Science, Technology and …, 2014 | 30 | 2014 |
| Automatic assessment of Parkinson's Disease from natural hands movements using 3D depth sensor B Dror, E Yanai, A Frid, N Peleg, N Goldenthal, I Schlesinger, H Hel-Or, ... 2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014 | 19 | 2014 |
| An SVM based algorithm for analysis and discrimination of dyslexic readers from regular readers using ERPs A Frid, Z Breznitz 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 18 | 2012 |
| Diagnosis of Parkinson's disease from continuous speech using deep convolutional networks without manual selection of features A Frid, A Kantor, D Svechin, LM Manevitz 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016 | 16 | 2016 |
| Acoustic-phonetic analysis of fricatives for classification using SVM based algorithm A Frid, Y Lavner 2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel …, 2010 | 14 | 2010 |
| Differences in phase synchrony of brain regions between regular and dyslexic readers A Frid 2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014 | 7 | 2014 |
| Temporal pattern recognition via temporal networks of temporal neurons A Frid, H Hazan, L Manevitz 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 6 | 2012 |
| Real-Time EEG Classification via Coresets for BCI Applications E Netzer, A Frid, D Feldman Engineering Applications of Artificial Intelligence 89, 2020 | 4 | 2020 |
| Features and machine learning for correlating and classifying between brain areas and dyslexia A Frid, LM Manevitz arXiv preprint arXiv:1812.10622, 2018 | 4 | 2018 |
| Kohonen-based topological clustering as an amplifier for multi-class classification for Parkinson’s disease A Frid, LM Manevitz, O Mosafi 2018 IEEE International Conference on the Science of Electrical Engineering …, 2018 | 4 | 2018 |
| Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fmri T Bitan, A Frid, H Hazan, LM Manevitz, H Shalelashvili, Y Weiss 2016 International Joint Conference on Neural Networks (IJCNN), 4637-4642, 2016 | 4 | 2016 |
| Spectral and textural features for automatic classification of fricatives A Frid, Y Lavner XXII Annual Pacific Voice Conference (PVC), 1-4, 2014 | 4 | 2014 |
| Analysis of finger tapping parameters in people with ADHD A Frid, Y Lavner, I Rabinowitz 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 4 | 2012 |
| Detecting Cyber-Physical Attacks in Water Distribution Systems: One-Class Classifier Approach N Kadosh, A Frid, M Housh Journal of Water Resources Planning and Management 146 (8), 2020 | 3 | 2020 |
| A Biomarker for Discriminating Between Migraine With and Without Aura: Machine Learning on Functional Connectivity on Resting-State EEGs A Frid, M Shor, A Shifrin, D Yarnitsky, Y Granovsky Annals of Biomedical Engineering, 2019 | 3 | 2019 |
| Recognizing deep grammatical information during reading from event related fMRI H Shalelashvili, T Bitan, A Frid, H Hazan, S Hertz, Y Weiss, LM Manevitz 2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014 | 3 | 2014 |
| Analyzing cognitive processes from complex neuro-physiologically based data: some lessons A Frid, L Manevitz M. Annals of Mathematics and Artificial Intelligence, 1-29, 2019 | 2 | 2019 |
| The existence of two variant processes in human declarative memory: evidence using machine learning classification techniques in retrieval tasks A Frid, H Hazan, E Koilis, LM Manevitz, M Merhav, G Star Transactions on Computational Collective Intelligence XXIV, 117-133, 2016 | 2 | 2016 |
| Machine learning techniques and the existence of variant processes in humans declarative memory A Frid, H Hazan, E Koilis, LM Manevitz, M Merhav, G Star 2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015 | 2 | 2015 |
Larry ManevitzUniversity of Haifa, Israel and Ariel UniversityVerified email at cs.haifa.ac.il
