Triangle 02 Operators and Alternating Sentences in Arithmetic. - Larry M. Manevitz; Jonathan Stavi (J. Symb. Log., 1980)

Combining Bodies of Dependent Information. - Robert A. Hummel; Larry M. Manevitz (IJCAI, 1987)

Fuzzy Independence and Extended Conditional Probability. - Mark E. Hoffman; Larry M. Manevitz; Edward K. Wong (Inf. Sci., 1996)

Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm. - Mark Meltser; Moshe Shoham; Larry M. Manevitz (Neural Networks, 1996)

A statistical approach to the representation of uncertainty in beliefs using spread of opinions. - Robert A. Hummel; Larry Michael Manevitz (IEEE Trans. Syst. Man Cybern. Part A, 1996)

Combination Calculi for Uncertainty Reasoning: Representing Uncertainty Using Distributions. - Robert A. Hummel; Larry M. Manevitz (Ann. Math. Artif. Intell., 1997)

Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks. - Larry M. Manevitz; Yigal Zemach (Neurocomputing, 1997)

Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings. - Larry M. Manevitz (Neural Process. Lett., 1997)

Document classification on neural networks using only positive examples. - Larry M. Manevitz; Malik Yousef (SIGIR, 2000)

One-Class SVMs for Document Classification. - Larry M. Manevitz; Malik Yousef (J. Mach. Learn. Res., 2001)

Towards automating the finite element method: a test-bed for soft computing. - Larry M. Manevitz; Dan Givoli (Appl. Soft Comput., 2003)

A web navigation system based on a neural network user-model trained with only positive web documents. - Larry M. Manevitz; Malik Yousef (Web Intell. Agent Syst., 2004)

fMRI Analysis via One-class Machine Learning Techniques. - David R. Hardoon; Larry M. Manevitz (IJCAI, 2005)

Neural network time series forecasting of finite-element mesh adaptation. - Larry M. Manevitz; Akram Bitar; Dan Givoli (Neurocomputing, 2005)

Collaborative Filtering Based on Content Addressing. - Shlomo Berkovsky; Yaniv Eytani; Larry M. Manevitz (ICEIS (2), 2006)

Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space. - Shlomo Berkovsky; Yaniv Eytani; Larry M. Manevitz (ICEIS (Selected Papers), 2006)

Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words. - Orna Peleg; Zohar Eviatar; Larry M. Manevitz; Hananel Hazan (NeSy, 2007)

Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words. - Orna Peleg; Zohar Eviatar; Hananel Hazan; Larry M. Manevitz (WAPCV, 2007)

One-class document classification via Neural Networks. - Larry M. Manevitz; Malik Yousef (Neurocomputing, 2007)

Efficient Collaborative Filtering in Content-Addressable Spaces. - Shlomo Berkovsky; Yaniv Eytani; Larry M. Manevitz (Int. J. Pattern Recognit. Artif. Intell., 2007)

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons. - Maya Maimon; Larry M. Manevitz (J. Comb. Optim., 2008)

Efficient Collaborative Filtering in Content-Addressable Spaces. - Shlomo Berkovsky; Yaniv Eytani; Larry M. Manevitz (Personalization Techniques and Recommender Systems, 2008)

Classification and biomarker identification using gene network modules and support vector machines. - Malik Yousef; Mohamed Ketany; Larry M. Manevitz; Louise C. Showe; Michael K. Showe (BMC Bioinform., 2009)

Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading. - Zohar Eviatar; Hananel Hazan; Larry M. Manevitz; Orna Peleg; Rom Timor (IJCCI (ICFC-ICNC), 2010)

Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment. - Uri Feintuch; Larry M. Manevitz; Natan Silnitsky (IJCCI (ICFC-ICNC), 2010)

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness. - Hananel Hazan; Larry M. Manevitz (IJCCI (ICFC-ICNC), 2010)

Windows on the Mind: Some recent aspects of modeling and pattern recognition of cognition. - Larry Michael Manevitz (ISAIM, 2010)

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks. - Omer Boehm; David R. Hardoon; Larry M. Manevitz (MICAI (2), 2010)

Stability and Topology in Reservoir Computing. - Larry M. Manevitz; Hananel Hazan (MICAI (2), 2010)

Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words. - Orna Peleg; Larry M. Manevitz; Hananel Hazan; Zohar Eviatar (Ann. Math. Artif. Intell., 2010)

Learning BOLD Response in fMRI by Reservoir Computing. - Paolo Avesani; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Diego Sona (PRNI, 2011)

Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. - Omer Boehm; David R. Hardoon; Larry M. Manevitz (Int. J. Mach. Learn. Cybern., 2011)

Topological constraints and robustness in liquid state machines. - Hananel Hazan; Larry M. Manevitz (Expert Syst. Appl., 2012)

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques. - Alex Frid; Hananel Hazan; Dan Hilu; Larry M. Manevitz; Lorraine O. Ramig; Shimon Sapir (SwSTE, 2014)

Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract. - Alex Frid; Hananel Hazan; Larry M. Manevitz (SwSTE, 2014)

Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory. - Alex Frid; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Maayan Merhav; Gal Star (IJCCI (NCTA), 2015)

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. - Paolo Avesani; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Diego Sona (Neural Networks, 2015)

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI. - Tali Bitan; Alex Frid; Hananel Hazan; Larry M. Manevitz; Haim Shalelashvili; Yael Weiss (IJCNN, 2016)

The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks. - Alex Frid; Hananel Hazan; Ester Koilis; Larry M. Manevitz; Maayan Merhav; Gal Star (Trans. Comput. Collect. Intell., 2016)

Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia. - Alex Frid; Larry M. Manevitz (CoRR, 2018)

Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space. - Alex Frid; Larry M. Manevitz; Ohad Mosafi (IJCNN, 2019)

Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning. - Alex Frid; Larry M. Manevitz (IJCNN, 2020)

Analyzing cognitive processes from complex neuro-physiologically based data: some lessons. - Alex Frid; Larry M. Manevitz (Ann. Math. Artif. Intell., 2020)

Classifying the valence of autobiographical memories from fMRI data. - Alex Frid; Larry M. Manevitz; Norberto Eiji Nawa (Ann. Math. Artif. Intell., 2020)

Cognition and Neurocomputation. - Larry M. Manevitz; Alex Frid (Ann. Math. Artif. Intell., 2020)