L. Manevitz

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One-class document classification via Neural Networks

Malik Yousef, Larry M. Manevitz, L. Manevitz, 2007, Neurocomputing.

Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Hananel Hazan, Larry M. Manevitz, Asaf Gilboa, 2015, Neural plasticity.

Automatic Mesh Generation (for Finite Element Method) Using Self-Organizing Neural Networks*

L. Manevitz, M. Yousef, D. Givoli, 1995 .

Automating the Finite Element Method : A Test-Bed forSoft Computing

L. Manevitz, D. Givoli, 2007 .

Robinson forcing is not absolute

L. Manevitz, 1976 .

Classifying Cognitive Tasks to fMRI Data Using Machine Learning Techniques

D. Hardoon, L. Manevitz, 2005 .

Windows on the Mind: Some recent aspects of modeling and pattern recognition of cognition

Larry M. Manevitz, L. Manevitz, 2010, ISAIM.

Kohonen-Based Topological Clustering as an Amplifier for Multi-Class Classification for Parkinson’s Disease

Larry M. Manevitz, Alex Frid, Ohad Mosafi, 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE).

Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2010, Annals of Mathematics and Artificial Intelligence.

Triangle 02 Operators and Alternating Sentences in Arithmetic

Larry M. Manevitz, Jonathan Stavi, J. Stavi, 1980, J. Symb. Log..

Cognition and Neurocomputation

Larry M. Manevitz, Alex Frid, L. Manevitz, 2020, Ann. Math. Artif. Intell..

Efficient Collaborative Filtering in Content-Addressable Spaces

Shlomo Berkovsky, Larry M. Manevitz, Yaniv Eytani, 2007, Personalization Techniques and Recommender Systems.

02 operators and alternating sentences in arithmetic

Larry M. Manevitz, Jonathan Stavi, J. Stavi, 1980 .

Freedom via forcing: Uniform construction of relatively free or generic structures

L. Manevitz, L. Rowen, 1987 .

Internal End-Extensions of Peano Arithmetic and a Problem of Gaifman

L. Manevitz, 1976 .

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons

Larry M. Manevitz, Maya Maimon, L. Manevitz, 2008, J. Comb. Optim..

One-Class SVMs for Document Classification

Malik Yousef, Larry M. Manevitz, L. Manevitz, 2002, J. Mach. Learn. Res..

Multi-Class Classification in Parkinson’s Disease by Leveraging Internal Topological Structure of the Data and of the Label Space

Larry M. Manevitz, Alex Frid, Ohad Mosafi, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Analyzing cognitive processes from complex neuro-physiologically based data: some lessons

Larry M. Manevitz, Alex Frid, L. Manevitz, 2019, Annals of Mathematics and Artificial Intelligence.

Neural network time series forecasting of finite-element mesh adaptation

Dan Givoli, Larry M. Manevitz, Akram Bitar, 2005, Neurocomputing.

Towards automating the finite element method: a test-bed for soft computing

Dan Givoli, Larry M. Manevitz, L. Manevitz, 2003, Appl. Soft Comput..

Classification and biomarker identification using gene network modules and support vector machines

Louise C. Showe, Malik Yousef, Larry M. Manevitz, 2009, BMC Bioinformatics.

Temporal pattern recognition via temporal networks of temporal neurons

Alex Frid, H. Hazan, L. Manevitz, 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.

fMRI Analysis via One-class Machine Learning Techniques

David R. Hardoon, Larry M. Manevitz, D. Hardoon, 2005, IJCAI.

Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms

David R. Hardoon, Larry M. Manevitz, Omer Boehm, 2011, Int. J. Mach. Learn. Cybern..

Combination calculi for uncertainty reasoning: representing uncertainty using distributions

Robert A. Hummel, Larry M. Manevitz, R. Hummel, 1997, Annals of Mathematics and Artificial Intelligence.

Modeling the process of rate selection in neuronal activity.

Shimon Marom, Larry M Manevitz, Shimon Marom, 2002, Journal of theoretical biology.

Diagnosis of Parkinson's disease from continuous speech using deep convolutional networks without manual selection of features

Larry M. Manevitz, Alex Frid, Ariel Kantor, 2016, 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).

Topological constraints and robustness in liquid state machines

Hananel Hazan, Larry M. Manevitz, L. Manevitz, 2012, Expert Syst. Appl..

The Finite Element Method and Soft Computing

Dan Givoli, Larry M. Manevitz, L. Manevitz, 1999 .

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks

David R. Hardoon, Larry M. Manevitz, Omer Boehm, 2010, MICAI.

One-class Machine Learning Approach for fMRI Analysis

David R. Hardoon, Larry M. Manevitz, D. Hardoon, 2005 .

Heuristic finite element node numbering

Dan Givoli, Larry M. Manevitz, Micha Margi, 1993 .

Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia pdf

Larry M. Manevitz, Alex Frid, L. Manevitz, 2018, ArXiv.

Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning

Larry M. Manevitz, Alex Frid, L. Manevitz, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Classifying the valence of autobiographical memories from fMRI data

L. Manevitz, A. Frid, N. Nawa, 2019, Annals of Mathematics and Artificial Intelligence.

Efficient Collaborative Filtering in Content-Addressable Spaces

Shlomo Berkovsky, Larry M. Manevitz, Yaniv Eytani, 2007, Personalization Techniques and Recommender Systems.

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Hananel Hazan, Diego Sona, Paolo Avesani, 2015, Neural Networks.

Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment

Uri Feintuch, Larry M. Manevitz, Natan Silnitsky, 2018, IJCCI.

Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space

Shlomo Berkovsky, Larry M. Manevitz, Yaniv Eytani, 2006, ICEIS.

Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm

Moshe Shoham, Larry M. Manevitz, Mark Meltser, 1996, Neural Networks.

Temporal Sparse Distributed Memory: Identifying Temporal Patterns via Homeomorphic Contractions of Memory

Larry M. Manevitz, L. Manevitz, 1992 .

Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2016, IJCCI.

Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2008, WAPCV.

Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words

Hananel Hazan, Larry M. Manevitz, Zohar Eviatar, 2007, NeSy.

Differences and Interactions between Cerebral Hemispheres When Processing Ambiguous Homographs

L. Manevitz, O. Peleg, Z. Eviatar, 2007 .

Case-based to content-based user model mediation

Tsvi Kuflik, Shlomo Berkovsky, Ariel Gorfinkel, 2006 .

Implementing a “Sense of Time” via Entropy in Associative Memories

Larry M. Manevitz, L. Manevitz, 1991 .

Finite–Element Mesh Generation Using Self–Organizing Neural Networks

Dan Givoli, Malik Yousef, Larry M. Manevitz, 1997 .

Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings

Larry M. Manevitz, L. Manevitz, 1997, Neural Processing Letters.

Early diagnosis of Parkinson's disease via machine learning on speech data

H. Hazan, L. Manevitz, D. Hilu, 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel.

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques

Hananel Hazan, Lorraine O. Ramig, Larry M. Manevitz, 2014, 2014 IEEE International Conference on Software Science, Technology and Engineering.

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness

Hananel Hazan, Larry M. Manevitz, L. Manevitz, 2016, IJCCI.