Robert Kozma
Orcid: 0000-0001-7011-5768Affiliations:
- University of Memphis, Dept. of Mathematical Sciences, TN, USA
- University of Massachusetts, Department of Computer Science, Amherst, MA; USA
- University of California at Berkeley, EECS, CA, USA
- University of Otago, Dept. of Information Science, Dunedin, New Zealand
- Tohoku University, Department of Quantum Science and Engineering, Sendai, Japan
- Delft University of Technology, Netherlands
According to our database1,
Robert Kozma
authored at least 154 papers
between 1995 and 2024.
Collaborative distances:
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Online presence:
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on orcid.org
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on memphis.edu
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Bibliography
2024
Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains under Multiple Cognitive Modalities.
Sensors, March, 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson's First Skewness Coefficient Extracted from EEG Data.
Sensors, February, 2023
A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation.
Inf. Sci., 2023
Brain Dynamics in Engaged and Relaxed Psychophysiological States Reflecting the Creation of Knowledge and Meaning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
IEEE Trans. Comput. Soc. Syst., 2022
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms.
Knowl. Based Syst., 2022
Respiratory Modulation of Cortical Rhythms - Testing The Phase Transition Hypothesis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022
2021
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.
Ann. Math. Artif. Intell., 2020
Discrimination Between Brain Cognitive States Using Shannon Entropy and Skewness Information Measure.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via HRV and EEG.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019
Neural Networks, 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks, 2019
Discret. Appl. Math., 2019
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Frontiers Neuroinformatics, 2018
CoRR, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
An Integrative Approach to Analyze Eeg Signals and Human Brain Dynamics in Different Cognitive States.
J. Artif. Intell. Soft Comput. Res., 2017
Neuro-energetic aspects of cognition - The role of pulse-wave-pulse conversion in the interpretation of brain imaging data.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Amplitude-phase relationship of brain dynamics viewed by ECoG using FIR-based Hilbert analysis.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017
2016
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery.
IEEE Trans. Neural Networks Learn. Syst., 2016
Pattern-based computing via sequential phase transitions in hierarchical mean field neuropercolation.
Theor. Comput. Sci., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Complete stability analysis of a heuristic approximate dynamic programming control design.
Autom., 2015
The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain Imaging Using Brain Dynamics Movies.
Proceedings of the INNS Conference on Big Data 2015, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014
Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interface.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014
2013
Hierarchical random cellular neural networks for system-level brain-like signal processing.
Neural Networks, 2013
Digit. Signal Process., 2013
Cogn. Comput., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
The race to new mathematics of brains and consciousness - A tribute to John G. Taylor.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Improved stability criteria of ADP control for efficient context-aware decision support systems.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013
Creation of knowledge & meaning manifested via cortical singularities in cognition: Towards a methodology to understand intentionality and critical behavior in neural correlates of awareness.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013
2012
A Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking.
Sensors, 2012
Neural Networks, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Computational Intelligence - International Joint Conference, 2012
Geometric Image of Neurodynamics.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
On the invariance of cortical synchronization measures across a broad range of frequencies.
Proceedings of the 4th International Conference on Awareness Science and Technology, 2012
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012
2011
Memristor as an archetype of dynamic data-driven systems and applications to sensor networks.
Proceedings of the International Conference on Computational Science, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Modeling normal/epileptic brain dynamics with potential application in titration therapy.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Neural Networks, 2009
2009 International Joint Conference on Neural Networks (IJCNN 2009) [Conference Reports].
IEEE Comput. Intell. Mag., 2009
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.
IEEE Trans. Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Detection of propagating phase gradients in EEG signals using Model Field Theory of non-Gaussian mixtures.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Neurocomputing, 2007
IEEE Comput. Intell. Mag., 2007
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Estimation of Propagating Phase Transients in EEG Data - Application of Dynamic Logic Neural Modeling Approach.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Random Struct. Algorithms, 2006
Int. J. Intell. Syst., 2006
Int. J. Intell. Syst., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Influence of Criticality on 1/f<sup>alpha</sup>Spectral Characteristics of Cortical Neuron Populations.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Biomedical Hypothesis Generation and Testing by Evolutionary Computation.
Proceedings of the 2006 International Conference on Data Mining, 2006
2005
Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation.
Neurocomputing, 2005
Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions.
Biol. Cybern., 2005
A Novel Approach to Distributed Sensory Networks Using Biologically-Inspired Sensory Fusion.
Proceedings of the IEEE International Conference on Systems, 2005
Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, 2005
2004
IEEE Trans. Neural Networks, 2004
Neurocomputing, 2004
Implementing reinforcement learning in the chaotic KIV model using mobile robot AIBO.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004
Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics.
Proceedings of the Cellular Automata, 2004
2003
The KIV model - nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain.
Neurocomputing, 2003
Proceedings of the IEEE International Conference on Systems, 2003
2002
From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems.
IEEE Trans. Evol. Comput., 2002
Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions.
Neurocomputing, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Rule Extraction from Fuzzy Neural Networks FuNN: A Method and a Real-World Application.
J. Adv. Comput. Intell. Intell. Informatics, 2001
Neurocomputing, 2001
Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns.
Int. J. Bifurc. Chaos, 2001
Proceedings of the Computational Science - ICCS 2001, 2001
Proceedings of the American Control Conference, 2001
2000
Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfaction.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
J. Adv. Comput. Intell. Intell. Informatics, 1998
Inf. Sci., 1998
Integration of connectionist methods and chaotic time-series analysis for the prediction of process data.
Int. J. Intell. Syst., 1998
Hybrid intelligent adaptive systems: A framework and a case study on speech recognition.
Int. J. Intell. Syst., 1998
1997
Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997
On the conscious and subconscious components of knowledge representation in neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
On the accuracy of mapping by neural networks trained by backpropagation with forgetting.
Neurocomputing, 1996
1995
An Adaptive Neuro-Fuzzy Signal Processing Method By Using Structural Learning with Forgetting.
Intell. Autom. Soft Comput., 1995
Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995