Larry M. Manevitz

44 papers A* 3B 3C 1Journal 24Unranked 12

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