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

Annals of mathematics and artificial intelligence, 2020-12, Vol.88 (11-12), p.1125-1153

2020

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Cognition and Neurocomputation

Annals of mathematics and artificial intelligence, 2020-12, Vol.88 (11-12), p.1119-1123

2020

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

Neural plasticity, 2015-01, Vol.2015, p.804385-17

2015

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Classifying the valence of autobiographical memories from fMRI data

Annals of mathematics and artificial intelligence, 2020-12, Vol.88 (11-12), p.1261-1274

2020

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Topological constraints and robustness in liquid state machines

Expert systems with applications, 2012-02, Vol.39 (2), p.1597-1606

2012

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

Neural networks, 2015-10, Vol.70, p.61-73

2015

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

International journal of machine learning and cybernetics, 2011-09, Vol.2 (3), p.125-134

2011

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One-class document classification via Neural Networks

Neurocomputing (Amsterdam), 2007-03, Vol.70 (7), p.1466-1481

2007

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

BMC bioinformatics, 2009-10, Vol.10 (1), p.337-337, Article 337

2009

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

Applied soft computing, 2003-07, Vol.3 (1), p.37-51

2003

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

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-9

2019

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Modeling the Process of Rate Selection in Neuronal Activity

Journal of theoretical biology, 2002-06, Vol.216 (3), p.337-343

2002

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

Neural networks, 1996-08, Vol.9 (6), p.965-978

1996

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The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks

Transactions on Computational Collective Intelligence XXIV, 2016, Vol.9770, p.117-133

2016

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Stability and Topology in Reservoir Computing

Advances in Soft Computing, p.245-256

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

Journal of combinatorial optimization, 2008-04, Vol.15 (3), p.287-304

2008

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A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons: Combinatorial Optimization in Data Mining

Journal of combinatorial optimization, 2008, Vol.15 (3), p.287-304

2008

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Neural network time series forecasting of finite-element mesh adaptation

Neurocomputing (Amsterdam), 2005, Vol.63, p.447-463

2005

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

Annals of mathematics and artificial intelligence, 2010-05, Vol.59 (1), p.125-147

2010

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

2020 International Joint Conference on Neural Networks (IJCNN), 2020, p.1-8

2020

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IEEE_Xplore

Combination calculi for uncertainty reasoning: representing uncertainty using distributions

Annals of mathematics and artificial intelligence, 1997-01, Vol.20 (1-4), p.69-109

1997

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

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE), 2018, p.1-5

2018

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

Advances in Soft Computing, p.126-137

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

2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016, p.1-4

2016

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

2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 2012, p.1-4

2012

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IEEE_Xplore

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

Cognition and Neurocomputation

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

Classifying the valence of autobiographical memories from fMRI data

Topological constraints and robustness in liquid state machines

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

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

One-class document classification via Neural Networks

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

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

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

Modeling the Process of Rate Selection in Neuronal Activity

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

The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks

Stability and Topology in Reservoir Computing

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

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons: Combinatorial Optimization in Data Mining

Neural network time series forecasting of finite-element mesh adaptation

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

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

Combination calculi for uncertainty reasoning: representing uncertainty using distributions

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

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

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

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

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