Larry M. Manevitz

According to our database1, Larry M. Manevitz authored at least 45 papers between 1980 and 2020.

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Bibliography

2020
Cognition and Neurocomputation.
Ann. Math. Artif. Intell., 2020

Classifying the valence of autobiographical memories from fMRI data.
Ann. Math. Artif. Intell., 2020

Analyzing cognitive processes from complex neuro-physiologically based data: some lessons.
Ann. Math. Artif. Intell., 2020

Design and Selection of Features under ERP for Correlating and Classifying between Brain Areas and Dyslexia via Machine Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia.
CoRR, 2018

2016
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.
Trans. Comput. Collect. Intell., 2016

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Neural Networks, 2015

Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

2014
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract.
Proceedings of the 2014 IEEE International Conference on Software Science, 2014

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques.
Proceedings of the 2014 IEEE International Conference on Software Science, 2014

2012
Topological constraints and robustness in liquid state machines.
Expert Syst. Appl., 2012

2011
Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms.
Int. J. Mach. Learn. Cybern., 2011

Learning BOLD Response in fMRI by Reservoir Computing.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

2010
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words.
Ann. Math. Artif. Intell., 2010

Stability and Topology in Reservoir Computing.
Proceedings of the Advances in Soft Computing, 2010

Towards One-Class Pattern Recognition in Brain Activity via Neural Networks.
Proceedings of the Advances in Soft Computing, 2010

Windows on the Mind: Some recent aspects of modeling and pattern recognition of cognition.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness.
Proceedings of the ICFC-ICNC 2010, 2010

Classification and Clustering of Brain Injuries from Motion Data of Patients in a Virtual Reality Environment.
Proceedings of the ICFC-ICNC 2010, 2010

Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading.
Proceedings of the ICFC-ICNC 2010, 2010

2009
Classification and biomarker identification using gene network modules and support vector machines.
BMC Bioinform., 2009

2008
Efficient Collaborative Filtering in Content-Addressable Spaces.
Proceedings of the Personalization Techniques and Recommender Systems, 2008

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons.
J. Comb. Optim., 2008

2007
Efficient Collaborative Filtering in Content-Addressable Spaces.
Int. J. Pattern Recognit. Artif. Intell., 2007

One-class document classification via Neural Networks.
Neurocomputing, 2007

Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

2006
Retrieval of Collaborative Filtering Nearest Neighbors in a Content-Addressable Space.
Proceedings of the Enterprise Information Systems, 8th International Conference, 2006

Collaborative Filtering Based on Content Addressing.
Proceedings of the ICEIS 2006, 2006

2005
Neural network time series forecasting of finite-element mesh adaptation.
Neurocomputing, 2005

fMRI Analysis via One-class Machine Learning Techniques.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004
A web navigation system based on a neural network user-model trained with only positive web documents.
Web Intell. Agent Syst., 2004

2003
Towards automating the finite element method: a test-bed for soft computing.
Appl. Soft Comput., 2003

2001
One-Class SVMs for Document Classification.
J. Mach. Learn. Res., 2001

2000
Document classification on neural networks using only positive examples.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

1997
Interweaving Kohonen Maps of Different Dimensions to Handle Measure Zero Constraints on Topological Mappings.
Neural Process. Lett., 1997

Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks.
Neurocomputing, 1997

Combination Calculi for Uncertainty Reasoning: Representing Uncertainty Using Distributions.
Ann. Math. Artif. Intell., 1997

1996
A statistical approach to the representation of uncertainty in beliefs using spread of opinions.
IEEE Trans. Syst. Man Cybern. Part A, 1996

Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm.
Neural Networks, 1996

Fuzzy Independence and Extended Conditional Probability.
Inf. Sci., 1996

1987
Combining Bodies of Dependent Information.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1980
Triangle <sup>0</sup><sub>2</sub> Operators and Alternating Sentences in Arithmetic.
J. Symb. Log., 1980


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