Larry Manevitz
Cited by
Cited by
One-class SVMs for document classification
LM Manevitz, M Yousef
Journal of machine Learning research 2 (Dec), 139-154, 2001
One-class document classification via neural networks
L Manevitz, M Yousef
Neurocomputing 70 (7-9), 1466-1481, 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 (3), 125, 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
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), 1-7, 2009
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
Neural network time series forecasting of finite-element mesh adaptation
L Manevitz, A Bitar, D Givoli
Neurocomputing 63, 447-463, 2005
Document classification on neural networks using only positive examples
LM Manevitz, M Yousef
Proceedings of the 23rd annual international ACM SIGIR conference on …, 2000
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
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
Topological constraints and robustness in liquid state machines
H Hazan, LM Manevitz
Expert Systems with Applications 39 (2), 1597-1606, 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
Combining Bodies of Dependent Information.
RA Hummel, LM Manevitz
IJCAI, 1015-1017, 1987
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
fMRI analysis via one-class machine learning techniques
DR Hardoon, LM Manevitz
IJCAI, 1604-1605, 2005
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
Towards automating the finite element method: a test-bed for soft computing
LM Manevitz, D Givoli
Applied Soft Computing 3 (1), 37-51, 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
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
Assigning meaning to data: using sparse distributed memory for multilevel cognitive tasks
LM Manevitz, Y Zemach
Neurocomputing 14 (1), 15-39, 1997
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