Larry M. Manevitz

Publication Activity (10 Years)

Years Active: 1980-2020
Publications (10 Years): 9

Top Topics

Response Function

Socially Extended Mind

Extended Abstract

Cognitive Processes

Top Venues

Ann. Math. Artif. Intell.

Publications

Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa
Classifying the valence of autobiographical memories from fMRI data. Ann. Math. Artif. Intell. 88 (11) (2020)
Alex Frid, Larry M. Manevitz
Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. IJCNN (2020)
Alex Frid, Larry M. Manevitz
Analyzing cognitive processes from complex neuro-physiologically based data: some lessons. Ann. Math. Artif. Intell. 88 (11) (2020)
Larry M. Manevitz, Alex Frid
Cognition and Neurocomputation. Ann. Math. Artif. Intell. 88 (11) (2020)
Alex Frid, Larry M. Manevitz, Ohad Mosafi
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. IJCNN (2019)
Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa
Classifying the Valence of Autobiographical Memories from fMRI Data. CoRR (2019)
Alex Frid, Larry M. Manevitz
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia. CoRR (2018)
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks. Trans. Comput. Collect. Intell. 24 (2016)
Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. IJCNN (2016)
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks 70 (2015)
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory. IJCCI (NCTA) (2015)
Alex Frid, Hananel Hazan, Larry M. Manevitz
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. SwSTE (2014)
Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir
Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques. SwSTE (2014)
Hananel Hazan, Larry M. Manevitz
Topological constraints and robustness in liquid state machines. Expert Syst. Appl. 39 (2) (2012)
Omer Boehm, David R. Hardoon, Larry M. Manevitz
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. Int. J. Mach. Learn. Cybern. 2 (3) (2011)
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
Learning BOLD Response in fMRI by Reservoir Computing. PRNI (2011)
Orna Peleg, Larry M. Manevitz, Hananel Hazan, Zohar Eviatar
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words. Ann. Math. Artif. Intell. 59 (1) (2010)
Zohar Eviatar, Hananel Hazan, Larry M. Manevitz, Orna Peleg, Rom Timor
Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading. IJCCI (ICFC-ICNC) (2010)
Omer Boehm, David R. Hardoon, Larry M. Manevitz
Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. MICAI (2) (2010)
Uri Feintuch, Larry M. Manevitz, Natan Silnitsky
Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment. IJCCI (ICFC-ICNC) (2010)
Larry M. Manevitz, Hananel Hazan
Stability and Topology in Reservoir Computing. MICAI (2) (2010)
Hananel Hazan, Larry M. Manevitz
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness. IJCCI (ICFC-ICNC) (2010)
Malik Yousef, Mohamed Ketany, Larry M. Manevitz, Louise C. Showe, Michael K. Showe
Classification and biomarker identification using gene network modules and support vector machines. BMC Bioinform. 10 (2009)
Maya Maimon, Larry M. Manevitz
A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons. J. Comb. Optim. 15 (3) (2008)
Larry M. Manevitz, Malik Yousef
One-class document classification via Neural Networks. Neurocomputing 70 (7-9) (2007)
Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz
Efficient Collaborative Filtering in Content-Addressable Spaces. Int. J. Pattern Recognit. Artif. Intell. 21 (2) (2007)
Orna Peleg, Zohar Eviatar, Hananel Hazan, Larry M. Manevitz
Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words. WAPCV (2007)
Orna Peleg, Zohar Eviatar, Larry M. Manevitz, Hananel Hazan
Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. NeSy (2007)
Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz
Collaborative Filtering Based on Content Addressing. ICEIS (2) (2006)
Shlomo Berkovsky, Yaniv Eytani, Larry M. Manevitz
Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space. ICEIS (Selected Papers) (2006)
Larry M. Manevitz, Akram Bitar, Dan Givoli
Neural network time series forecasting of finite-element mesh adaptation. Neurocomputing 63 (2005)
David R. Hardoon, Larry M. Manevitz
fMRI Analysis via One-class Machine Learning Techniques. IJCAI (2005)
Larry M. Manevitz, Malik Yousef
A web navigation system based on a neural network user-model trained with only positive web documents. Web Intell. Agent Syst. 2 (2) (2004)
Larry M. Manevitz, Dan Givoli
Towards automating the finite element method: a test-bed for soft computing. Appl. Soft Comput. 3 (1) (2003)
Larry M. Manevitz, Malik Yousef
One-Class SVMs for Document Classification. J. Mach. Learn. Res. 2 (2001)
Larry M. Manevitz, Malik Yousef
Document classification on neural networks using only positive examples. SIGIR (2000)
Robert A. Hummel, Larry M. Manevitz
Combination Calculi for Uncertainty Reasoning: Representing Uncertainty Using Distributions. Ann. Math. Artif. Intell. 20 (1-4) (1997)
Larry M. Manevitz, Yigal Zemach
Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks. Neurocomputing 14 (1) (1997)
Larry M. Manevitz
Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings. Neural Process. Lett. 5 (2) (1997)
Mark E. Hoffman, Larry M. Manevitz, Edward K. Wong
Fuzzy Independence and Extended Conditional Probability. Inf. Sci. 90 (1-4) (1996)
Mark Meltser, Moshe Shoham, Larry M. Manevitz
Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm. Neural Networks 9 (6) (1996)
Robert A. Hummel, Larry M. Manevitz
Combining Bodies of Dependent Information. IJCAI (1987)
Larry M. Manevitz, Jonathan Stavi
Operators and Alternating Sentences in Arithmetic. J. Symb. Log. 45 (1) (1980)