Michael N. Vrahatis
Orcid: 0000-0001-8357-7435
According to our database1,
Michael N. Vrahatis
authored at least 176 papers
between 1988 and 2024.
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Bibliography
2024
Towards the mathematical foundation of the minimum enclosing ball and related problems.
CoRR, 2024
CoRR, 2024
2023
Int. J. Artif. Intell. Tools, February, 2023
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023
Proceedings of the 14th International Conference on Information, 2023
2022
Survey of Methods for Solving Systems of Nonlinear Equations, Part II: Optimization Based Approaches.
CoRR, 2022
Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches.
CoRR, 2022
Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
Proceedings of the Computer Algebra in Scientific Computing - 24th International Workshop, 2022
2021
Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems.
Proceedings of the Metaheuristics for Finding Multiple Solutions, 2021
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021
Computational insights on the molecular mechanisms across breast cancer progression combining gene differential expression and co-expression.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Particle Swarm Optimization for Computing Nash and Stackelberg Equilibria in Energy Markets.
Oper. Res. Forum, 2020
Ann. Math. Artif. Intell., 2020
2019
Pattern Recognit., 2019
Neural Comput. Appl., 2019
Evaluation of PNN pattern-layer activation function approximations in different training setups.
Int. J. Speech Technol., 2019
Evol. Syst., 2019
Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019
Financial Fraudulent Statements Detection through a Deep Dense Artificial Neural Network.
Proceedings of the 10th International Conference on Information, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Engineering Applications of Neural Networks, 2019
2018
Algorithm 987: MANBIS - A C++ Mathematical Software Package for Locating and Computing Efficiently Many Roots of a Function: Theoretical Issues.
ACM Trans. Math. Softw., 2018
2017
Proceedings of the Engineering Applications of Neural Networks, 2017
Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization.
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach.
J. Mach. Learn. Res., 2016
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
Proceedings of the Artificial Intelligence Applications and Innovations, 2016
2015
Comput. Phys. Commun., 2015
Reliable estimation of a neural network's domain of validity through interval analysis based inversion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 6th International Conference on Information, 2015
2014
Solving the linear interval tolerance problem for weight initialization of neural networks.
Neural Networks, 2014
2013
Int. J. Bifurc. Chaos, 2013
Comput. Music. J., 2013
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2013
Performance evaluation of clustering algorithms on microcalcifications as mammography findings.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2012
Soft Comput., 2012
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach.
Inf. Sci., 2012
MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches.
Comput. Phys. Commun., 2012
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012
Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2012
Proceedings of the Engineering Applications of Neural Networks, 2012
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Multimodal optimization using niching differential evolution with index-based neighborhoods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the Audio Mostly 2012, 2012
Proceedings of the Swarm Intelligence - 8th International Conference, 2012
2011
IEEE Trans. Evol. Comput., 2011
Int. J. Bifurc. Chaos, 2011
Finding multiple global optima exploiting differential evolution's niching capability.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Mathematics and Computation in Music - Third International Conference, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
2010
Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences.
Math. Comput. Model., 2010
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms.
Appl. Soft Comput., 2010
Musical Composer Identification through Probabilistic and Feedforward Neural Networks.
Proceedings of the Applications of Evolutionary Computation, 2010
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Soft Comput., 2009
Int. J. Bio Inspired Comput., 2009
Appl. Math. Comput., 2009
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks.
Proceedings of the Advances in Data Mining. 9th Industrial Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the Computational Intelligence in Bioinformatics, 2008
Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities.
Neural Process. Lett., 2008
Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps.
Int. J. Bifurc. Chaos, 2008
Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Particle filtering with particle swarm optimization in systems with multiplicative noise.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Applications of Evolutionary Computing, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008
2007
Proceedings of the Computational Intelligence in Information Assurance and Security, 2007
Math. Comput. Model., 2007
Math. Comput. Model., 2007
Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography.
Math. Comput. Model., 2007
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification.
Neurocomputing, 2007
Appl. Math. Comput., 2007
Appl. Math. Comput., 2007
Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Advances in Web Intelligence and Data Mining, 2006
Oper. Res., 2006
Neural Comput. Appl., 2006
Int. J. Bifurc. Chaos, 2006
Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach.
Int. J. Bifurc. Chaos, 2006
Int. J. Artif. Intell. Tools, 2006
Distributed computing methodology for training neural networks in an image-guided diagnostic application.
Comput. Methods Programs Biomed., 2006
Comput. Math. Appl., 2006
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence.
Artif. Intell. Medicine, 2006
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006
Proceedings of the Computational Science and Its Applications, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Pattern Recognit. Lett., 2005
J. Intell. Inf. Syst., 2005
New globally convergent training scheme based on the resilient propagation algorithm.
Neurocomputing, 2005
Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials
CoRR, 2005
SIGSAM Bull., 2005
SIGSAM Bull., 2005
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction.
Proceedings of the IASTED International Conference on Computational Intelligence, 2005
Proceedings of the Applications of Evolutionary Computing, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
IEEE Trans. Evol. Comput., 2004
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution.
Appl. Soft Comput., 2004
Unsupervised distributed clustering.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2004
Generalized locally recurrent probabilistic neural networks for text-independent speaker verification.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems.
Proceedings of the Genetic and Evolutionary Computation, 2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Numer. Algorithms, 2003
Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimization.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003
Proceedings of the Parallel Processing and Applied Mathematics, 2003
Proceedings of the Parallel Computing Technologies, 2003
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Locally recurrent probabilistic neural network for text-independent speaker verification.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Financial forecasting through unsupervised clustering and evolutionary trained neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Particle swarm optimizers for Pareto optimization with enhanced archiving techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Deterministic nonmonotone strategies for effective training of multilayer perceptrons.
IEEE Trans. Neural Networks, 2002
IEEE Trans. Neural Networks, 2002
Nat. Comput., 2002
Recent approaches to global optimization problems through Particle Swarm Optimization.
Nat. Comput., 2002
The New <i>k</i>-Windows Algorithm for Improving the <i>k</i>-Means Clustering Algorithm.
J. Complex., 2002
On the Complexity of Isolating Real Roots and Computing with Certainty the Topological Degree.
J. Complex., 2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002
Proceedings of the 14th International Conference on Digital Signal Processing, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
2000
A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods.
Neural Parallel Sci. Comput., 2000
Neural Process. Lett., 2000
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods.
Neural Comput., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1997
1996
SIAM J. Sci. Comput., 1996
Reliab. Comput., 1996
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996
1995
Int. J. Comput. Math., 1995
1990
Int. J. Comput. Math., 1990
1988
Algorithm 666: Chabis: a mathematical software package for locating and evaluating roots of systems of nonlinear equations.
ACM Trans. Math. Softw., 1988
Solving systems of nonlinear equations using the nonzero value of the topological degree.
ACM Trans. Math. Softw., 1988