| One-class SVMs for document classification LM Manevitz, M Yousef Journal of machine Learning research 2 (Dec), 139-154, 2001 | 1944 | 2001 |
| One-class document classification via neural networks L Manevitz, M Yousef Neurocomputing 70 (7-9), 1466-1481, 2007 | 274 | 2007 |
| Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms O Boehm, DR Hardoon, LM Manevitz International Journal of Machine Learning and Cybernetics 2, 125-134, 2011 | 78 | 2011 |
| Decoding the formation of new semantics: MVPA investigation of rapid neocortical plasticity during associative encoding through fast mapping T Atir-Sharon, A Gilboa, H Hazan, E Koilis, LM Manevitz Neural plasticity 2015 (1), 804385, 2015 | 76 | 2015 |
| Early diagnosis of Parkinson's disease via machine learning on speech data H Hazan, D Hilu, L Manevitz, LO Ramig, S Sapir 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-4, 2012 | 75 | 2012 |
| Computational diagnosis of Parkinson's disease directly from natural speech using machine learning techniques A Frid, EJ Safra, H Hazan, LL Lokey, D Hilu, L Manevitz, LO Ramig, ... 2014 IEEE international conference on software science, technology and …, 2014 | 68 | 2014 |
| Classification and biomarker identification using gene network modules and support vector machines M Yousef, M Ketany, L Manevitz, LC Showe, MK Showe BMC bioinformatics 10, 1-7, 2009 | 63 | 2009 |
| Neural network time series forecasting of finite-element mesh adaptation L Manevitz, A Bitar, D Givoli Neurocomputing 63, 447-463, 2005 | 61 | 2005 |
| Finite–element mesh generation using self–organizing neural networks L Manevitz, M Yousef, D Givoli Computer‐Aided Civil and Infrastructure Engineering 12 (4), 233-250, 1997 | 55 | 1997 |
| 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 | 48 | 2016 |
| Document classification on neural networks using only positive examples LM Manevitz, M Yousef Proceedings of the 23rd annual international ACM SIGIR conference on …, 2000 | 48 | 2000 |
| Topological constraints and robustness in liquid state machines H Hazan, LM Manevitz Expert Systems with Applications 39 (2), 1597-1606, 2012 | 45 | 2012 |
| Features and machine learning for correlating and classifying between brain areas and dyslexia A Frid, LM Manevitz arXiv preprint arXiv:1812.10622, 2018 | 37 | 2018 |
| Approximating functions by neural networks: a constructive solution in the uniform norm M Meltser, M Shoham, LM Manevitz Neural Networks 9 (6), 965-978, 1996 | 33 | 1996 |
| fMRI analysis via one-class machine learning techniques DR Hardoon, LM Manevitz INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE 19, 1604, 2005 | 27 | 2005 |
| Combining Bodies of Dependent Information. RA Hummel, LM Manevitz IJCAI, 1015-1017, 1987 | 26 | 1987 |
| Learning from positive data for document classification using neural networks LM Manevitz, M Yousef Proceedings of the 2nd Bar-Ilan Workshop on Knowledge Discovery and Learning, 2000 | 24 | 2000 |
| Towards automating the finite element method: a test-bed for soft computing LM Manevitz, D Givoli Applied Soft Computing 3 (1), 37-51, 2003 | 22 | 2003 |
| A statistical approach to the representation of uncertainty in beliefs using spread of opinions R Hummel, L Manevitz IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 1996 | 19 | 1996 |
| Case-based to content-based user model mediation S Berkovsky, A Gorfinkel, T Kuflik, L Manevitz Workshop on Ubiquitous User Modeling, held in conjunction with ECAI-2006 …, 2006 | 14 | 2006 |
Hananel HazanAllen Discovery Center, Tufts University, USA在 hazan.org.il 的电子邮件经过验证
