Larry Manevitz

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Hananel HazanAllen Discovery Center, Tufts University, USAVerified email at hazan.org.il
Malik YousefZefat Academic CollegeVerified email at zefat.ac.il
Alex FridTechnion, Israel Institute of TechnologyVerified email at technion.ac.il
Dan GivoliProfessor of Aerospace Engineering, TechnionVerified email at technion.ac.il
David R. HardoonUniversity College LondonVerified email at cs.ucl.ac.uk
Shlomo BerkovskyMacquarie UniversityVerified email at mq.edu.au
Zohar EviatarProfessor of Psychology, University of HaifaVerified email at research.haifa.ac.il
Asaf GilboaRotman Research Institute at Baycrest and Psychology Department University of TorontoVerified email at research.baycrest.org
Louise ShoweProfessor, Molecular Oncogenesis, The Wistar InstituteVerified email at wistar.org
Tsvi KuflikProfessor of Information Systems, The University of HaifaVerified email at is.haifa.ac.il
Moshe ShohamTechnionVerified email at technion.ac.il
Diego SonaFondazione Bruno KesslerVerified email at fbk.eu
Paolo AvesaniFondazione Bruno KesslerVerified email at fbk.eu
Shimon MaromTechnion – Israel Institute of TechnologyVerified email at technion.ac.il
Yael WeissResearch Scientist, University of Washington, Institute for Learning and BrainVerified email at uw.edu
Ohad MosafiComputer Science, University of HaifaVerified email at campus.haifa.ac.il
Tali BitanUniversity of HaifaVerified email at bitan.net
Edward K WongNYU Tandon School of EngineeringVerified email at nyu.edu
Stav HertzHebrew University of JerusalemVerified email at mail.huji.ac.il

Larry Manevitz

University of Haifa, Israel and Ariel University

Verified email at cs.haifa.ac.il - Homepage

neurocomputation brain and cognitive modeling machine learning artificial intelligence combining uncertain information


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One-class SVMs for document classification LM Manevitz, M Yousef Journal of machine Learning research 2 (Dec), 139-154, 2001	1985	2001
One-class document classification via neural networks L Manevitz, M Yousef Neurocomputing 70 (7-9), 1466-1481, 2007	279	2007
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	81	2015
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	80	2011
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	78	2014
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	68	2012
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	67	2009
Neural network time series forecasting of finite-element mesh adaptation L Manevitz, A Bitar, D Givoli Neurocomputing 63, 447-463, 2005	62	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	57	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	50	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	50	2000
Topological constraints and robustness in liquid state machines H Hazan, LM Manevitz Expert Systems with Applications 39 (2), 1597-1606, 2012	49	2012
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	35	1996
Features and machine learning for correlating and classifying between brain areas and dyslexia A Frid, LM Manevitz arXiv preprint arXiv:1812.10622, 2018	34	2018
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	23	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
Stability and topology in reservoir computing L Manevitz, H Hazan Advances in Soft Computing: 9th Mexican International Conference on …, 2010	15	2010

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