Michael N. Vrahatis

183 papers A 3B 33C 7Misc 9Journal 85Unranked 42

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimizing doubly stochastic matrices for average consensus through swarm and evolutionary algorithms. Ann. Math. Artif. Intell. Panos K. Syriopoulos, Konstantinos I. Chatzilygeroudis, Nektarios G. Kalampalikis, Michael N. Vrahatis
2025	J	`jnl`	kNN Classification: a review. Ann. Math. Artif. Intell. Panos K. Syriopoulos, Nektarios G. Kalampalikis, Sotiris B. Kotsiantis, Michael N. Vrahatis
2024	—	`conf`	Effective Kinodynamic Planning and Exploration Through Quality Diversity and Trajectory Optimization. LION Konstantinos A. Asimakopoulos, Aristeidis A. Androutsopoulos, Michael N. Vrahatis, Konstantinos I. Chatzilygeroudis
2024	J	`jnl`	Generalization of the Apollonius theorem for simplices and related problems. CoRR Michael N. Vrahatis
2024	J	`jnl`	Towards the mathematical foundation of the minimum enclosing ball and related problems. CoRR Michael N. Vrahatis
2024	J	`jnl`	Towards the methodology for solving the minimum enclosing ball and related problems. CoRR Michael N. Vrahatis
2023	—	`conf`	Evolving Dynamic Locomotion Policies in Minutes. IISA Konstantinos I. Chatzilygeroudis, Constantinos G. Tsakonas, Michael N. Vrahatis
2023	—	`conf`	Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming. LION Konstantinos I. Chatzilygeroudis, Michael N. Vrahatis
2023	J	`jnl`	Novel Sparse Feature Regression Method for Traffic Forecasting. Int. J. Artif. Intell. Tools Athanasios I. Salamanis, George A. Gravvanis, Sotiris B. Kotsiantis, Michael N. Vrahatis
2022	—	`conf`	Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO. LION Panos K. Syriopoulos, Nektarios G. Kalampalikis, Michael N. Vrahatis
2022	J	`jnl`	Rotation forest of random subspace models. Intell. Decis. Technol. Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, George A. Gravvanis, Michael N. Vrahatis
2022	J	`jnl`	Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches. CoRR Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis
2022	J	`jnl`	Survey of Methods for Solving Systems of Nonlinear Equations, Part II: Optimization Based Approaches. CoRR Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis
2022	B	`conf`	Survey on Generalizations of the Intermediate Value Theorem and Applications. CASC Michael N. Vrahatis
2022	—	`conf`	Survey on KNN Methods in Data Science. LION Panos K. Syriopoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
2021	—	`conf`	Computational insights on the molecular mechanisms across breast cancer progression combining gene differential expression and co-expression. BHI Emmanouil K. Ikonomakis, Marilena M. Bourdakou, George Kolios, Michael N. Vrahatis, George M. Spyrou
2021	—	`ch.`	Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems. Metaheuristics for Finding Multiple Solutions Konstantinos E. Parsopoulos, Michael N. Vrahatis
2021	—	`conf`	Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
2020	J	`jnl`	Dynamic search trajectory methods for global optimization. Ann. Math. Artif. Intell. Stamatios-Aggelos N. Alexandropoulos, Panos M. Pardalos, Michael N. Vrahatis
2020	J	`jnl`	Particle Swarm Optimization for Computing Nash and Stackelberg Equilibria in Energy Markets. Oper. Res. Forum Michael N. Vrahatis, Panagiotis Kontogiorgos, George P. Papavassilopoulos
2019	C	`conf`	A Deep Dense Neural Network for Bankruptcy Prediction. EANN Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019	J	`jnl`	Content driven clustering algorithm combining density and distance functions. Pattern Recognit. Emmanouil K. Ikonomakis, George M. Spyrou, Michael N. Vrahatis
2019	J	`jnl`	Data preprocessing in predictive data mining. Knowl. Eng. Rev. Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019	J	`jnl`	Evaluating generalization through interval-based neural network inversion. Neural Comput. Appl. Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis
2019	J	`jnl`	Evaluation of PNN pattern-layer activation function approximations in different training setups. Int. J. Speech Technol. Nikolay T. Dukov, Todor D. Ganchev, Michael N. Vrahatis
2019	—	`conf`	Financial Fraudulent Statements Detection through a Deep Dense Artificial Neural Network. IISA Georgios S. Temponeras, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019	—	`conf`	Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions. NUMTA (2) Michael N. Vrahatis
2019	J	`jnl`	Hybrid local boosting utilizing unlabeled data in classification tasks. Evol. Syst. Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2019	Misc	`conf`	Stacking Strong Ensembles of Classifiers. AIAI Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2018	J	`jnl`	Algorithm 987: MANBIS - A C++ Mathematical Software Package for Locating and Computing Efficiently Many Roots of a Function: Theoretical Issues. ACM Trans. Math. Softw. Dimitra-Nefeli A. Zottou, Dimitris J. Kavvadias, Frosso S. Makri, Michael N. Vrahatis
2017	C	`conf`	Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. EANN Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis
2017	C	`conf`	Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems. EANN Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
2016	J	`jnl`	Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach. J. Mach. Learn. Res. Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras, Michael N. Vrahatis
2016	Misc	`conf`	Combining Prototype Selection with Local Boosting. AIAI Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2016	Misc	`conf`	Increasing Diversity in Random Forests Using Naive Bayes. AIAI Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
2015	—	`conf`	Integrating global and local boosting. IISA Anastasia-Dimitra Lipitakis, Gerasimos S. Antzoulatos, Sotiris Kotsiantis, Michael N. Vrahatis
2015	B	`conf`	Reliable estimation of a neural network's domain of validity through interval analysis based inversion. IJCNN Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis
2015	J	`jnl`	p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2014	J	`jnl`	Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks Stavros P. Adam, Dimitrios A. Karras, George D. Magoulas, Michael N. Vrahatis
2013	J	`jnl`	A Clustering Strategy for the Key Segmentation of Musical Audio. Comput. Music. J. Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
2013	J	`jnl`	Chaos and Music: from Time Series Analysis to Evolutionary Composition. Int. J. Bifurc. Chaos Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
2013	C	`conf`	Performance evaluation of clustering algorithms on microcalcifications as mammography findings. BIBE Emmanouil K. Ikonomakis, George M. Spyrou, Panos A. Ligomenides, Michael N. Vrahatis
2013	C	`conf`	evoDrummer: Deriving Rhythmic Patterns through Interactive Genetic Algorithms. EvoMUSART Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
2012	—	`conf`	Ant-Based Approaches for Solving Autocorrelation Problems. ANTS Ilias S. Kotsireas, Konstantinos E. Parsopoulos, Grigoris S. Piperagkas, Michael N. Vrahatis
2012	J	`jnl`	Controlling interactive evolution of 8-bit melodies with genetic programming. Soft Comput. Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
2012	C	`conf`	Direct Zero-Norm Minimization for Neural Network Pruning and Training. EANN Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis
2012	J	`jnl`	Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012	—	`conf`	Genetic evolution of L and FL-systems for the production of rhythmic sequences. GECCO (Companion) Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis
2012	—	`conf`	Intelligent Generation of Rhythmic Sequences Using Finite L-systems. IIH-MSP Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
2012	B	`conf`	Intelligent Real-Time Music Accompaniment for Constraint-Free Improvisation. ICTAI Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
2012	C	`conf`	Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound. EvoMUSART Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
2012	J	`jnl`	MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
2012	B	`conf`	Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012	—	`conf`	Real-time drums transcription with characteristic bandpass filtering. Audio Mostly Conference Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis, Nikolaos Kanellopoulos
2012	—	`conf`	Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012	B	`conf`	Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011	J	`jnl`	Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011	—	`conf`	Feature Extraction Using Pitch Class Profile Information Entropy. MCM Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
2011	—	`conf`	Finding multiple global optima exploiting differential evolution's niching capability. SDE Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011	J	`jnl`	Studying the Basin of convergence of Methods for Computing periodic orbits. Int. J. Bifurc. Chaos Michael G. Epitropakis, Michael N. Vrahatis
2011	—	`conf`	Weighted Markov Chain Model for Musical Composer Identification. EvoApplications (2) Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
2011	—	`conf`	α-Clusterable Sets. ECML/PKDD (1) Gerasimos Antzoulatos, Michael N. Vrahatis
2010	J	`jnl`	Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences. Math. Comput. Model. Adam V. Adamopoulos, Nicos G. Pavlidis, Michael N. Vrahatis
2010	B	`conf`	Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2010	J	`jnl`	Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2010	—	`conf`	Musical Composer Identification through Probabilistic and Feedforward Neural Networks. EvoApplications (2) Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
2010	J	`jnl`	Novel orbit based symmetric cryptosystems. Math. Comput. Model. Michael N. Vrahatis, Georgios A. Tsirogiannis, Elena C. Laskari
2010	J	`jnl`	Optimal Dynamic Box-Counting Algorithm. Int. J. Bifurc. Chaos Panagiotis D. Alevizos, Michael N. Vrahatis
2009	—	`conf`	A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks. ICDM (Posters) Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis
2009	J	`jnl`	Aitken and Neville inverse interpolation methods for the Lucas logarithm problem. Appl. Math. Comput. Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis
2009	B	`conf`	Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2009	—	`conf`	Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks. LION Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2009	J	`jnl`	Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2009	J	`jnl`	Tackling magnetoencephalography with particle swarm optimization. Int. J. Bio Inspired Comput. Konstantinos E. Parsopoulos, Fotini Kariotou, George Dassios, Michael N. Vrahatis
2008	B	`conf`	A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis
2008	B	`conf`	Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2008	—	`ch.`	Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2008	J	`jnl`	Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps. Int. J. Bifurc. Chaos Yiannis G. Petalas, Chris G. Antonopoulos, Tassos Bountis, Michael N. Vrahatis
2008	—	`conf`	Fuzzy Evolutionary Probabilistic Neural Networks. ANNPR Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis
2008	A	`conf`	Non-monotone differential evolution. GECCO Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2008	J	`jnl`	Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities. Neural Process. Lett. Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis
2008	—	`conf`	Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops Konstantinos E. Parsopoulos, Konstantina Skouri, Michael N. Vrahatis
2008	A	`conf`	Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2008	—	`conf`	Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation. ICONIP (2) Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis
2007	J	`jnl`	Applying evolutionary computation methods for the cryptanalysis of Feistel ciphers. Appl. Math. Comput. Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis
2007	J	`jnl`	Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Math. Comput. Model. Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Dimitris K. Tasoulis, Michael N. Vrahatis
2007	B	`conf`	Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2007	—	`ch.`	Cryptography and Cryptanalysis Through Computational Intelligence. Computational Intelligence in Information Assurance and Security Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis
2007	—	`conf`	Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. SIS Yiannis G. Petalas, Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Petros P. Groumpos, Michael N. Vrahatis
2007	B	`conf`	Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2007	J	`jnl`	Existence and computation of short-run equilibria in economic geography. Appl. Math. Comput. Nicos G. Pavlidis, Michael N. Vrahatis, Pascal Mossay
2007	J	`jnl`	Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis
2007	J	`jnl`	Generalizing the k-Windows clustering algorithm in metric spaces. Math. Comput. Model. Dimitris K. Tasoulis, Michael N. Vrahatis
2007	J	`jnl`	Memetic particle swarm optimization. Ann. Oper. Res. Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2007	J	`jnl`	Parameter selection and adaptation in Unified Particle Swarm Optimization. Math. Comput. Model. Konstantinos E. Parsopoulos, Michael N. Vrahatis
2006	J	`jnl`	Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. Int. J. Bifurc. Chaos George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
2006	J	`jnl`	Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006	J	`jnl`	Determining the number of real roots of polynomials through neural networks. Comput. Math. Appl. Bernard Mourrain, Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	Misc	`conf`	Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006	J	`jnl`	Distributed computing methodology for training neural networks in an image-guided diagnostic application. Comput. Methods Programs Biomed. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006	J	`jnl`	Financial forecasting through unsupervised clustering and neural networks. Oper. Res. Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	B	`conf`	Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006	J	`jnl`	New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. Int. J. Artif. Intell. Tools Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
2006	J	`jnl`	On perturbation of roots of homogeneous algebraic systems. Math. Comput. Susumu Tanabé, Michael N. Vrahatis
2006	—	`ch.`	Oriented Advances in Web Intelligence and Data Mining Dimitris K. Tasoulis, Dimitrios Zeimpekis, Efstratios Gallopoulos, Michael N. Vrahatis
2006	—	`conf`	Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis
2006	—	`conf`	Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem. Australian Conference on Artificial Intelligence Konstantinos E. Parsopoulos, Michael N. Vrahatis
2006	J	`jnl`	Unsupervised Clustering Using Fractal Dimension. Int. J. Bifurc. Chaos Dimitris K. Tasoulis, Michael N. Vrahatis
2006	J	`jnl`	Unsupervised clustering in mRNA expression profiles. Comput. Biol. Medicine Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2005	B	`conf`	Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. Congress on Evolutionary Computation Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2005	B	`conf`	Computational intelligence techniques for acute leukemia gene expression data classification. IJCNN Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2005	J	`jnl`	Efficiently Computing Many Roots of a Function. SIAM J. Sci. Comput. Dimitris J. Kavvadias, Frosso S. Makri, Michael N. Vrahatis
2005	J	`jnl`	Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis
2005	J	`jnl`	New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2005	J	`jnl`	Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials CoRR Charalampos Skokos, Konstantinos E. Parsopoulos, Panos A. Patsis, Michael N. Vrahatis
2005	J	`jnl`	Privacy preserving electronic data gathering. Math. Comput. Model. Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis
2005	J	`jnl`	Root finding and approximation approaches through neural networks. SIGSAM Bull. Michael G. Epitropakis, Michael N. Vrahatis
2005	J	`jnl`	Sign-based learning schemes for pattern classification. Pattern Recognit. Lett. Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2005	B	`conf`	Spiking neural network training using evolutionary algorithms. IJCNN Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis
2005	B	`conf`	The new window density function for efficient evolutionary unsupervised clustering. Congress on Evolutionary Computation Dimitris K. Tasoulis, Michael N. Vrahatis
2005	—	`conf`	Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2005	J	`jnl`	Transformations of two cryptographic problems in terms of matrices. SIGSAM Bull. Elena C. Laskari, Gerasimos C. Meletiou, Dimitris K. Tasoulis, Michael N. Vrahatis
2005	—	`conf`	Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. ICNC (3) Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	—	`conf`	Unified Particle Swarm Optimization in Dynamic Environments. EvoWorkshops Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	—	`conf`	Unified particle swarm optimization for tackling operations research problems. SIS Konstantinos E. Parsopoulos, Michael N. Vrahatis
2005	J	`jnl`	Unsupervised clustering on dynamic databases. Pattern Recognit. Lett. Dimitris K. Tasoulis, Michael N. Vrahatis
2004	B	`conf`	A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. ESANN Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
2004	J	`jnl`	A note on a secure voting system on a public network. Networks M. G. Karagiannopoulos, Michael N. Vrahatis, Gerasimos C. Meletiou
2004	Misc	`conf`	Dynamic Search Trajectory Methods for Neural Network Training. ICAISC Yiannis G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis
2004	—	`conf`	Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis
2004	Misc	`conf`	Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis
2004	—	`conf`	Generalized locally recurrent probabilistic neural networks for text-independent speaker verification. ICASSP (1) Todor Ganchev, Nikos Fakotakis, Dimitris K. Tasoulis, Michael N. Vrahatis
2004	J	`jnl`	Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2004	J	`jnl`	On the Computation of All Global Minimizers Through Particle Swarm Optimization. IEEE Trans. Evol. Comput. Konstantinos E. Parsopoulos, Michael N. Vrahatis
2004	Misc	`conf`	Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis
2004	B	`conf`	Parallel differential evolution. IEEE Congress on Evolutionary Computation Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2004	B	`conf`	Parallel tangent methods with variable stepsize. IJCNN Yiannis G. Petalas, Michael N. Vrahatis
2004	—	`conf`	Unsupervised distributed clustering. Parallel and Distributed Computing and Networks Dimitris K. Tasoulis, Michael N. Vrahatis
2004	B	`conf`	Vector evaluated differential evolution for multiobjective optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2003	B	`conf`	A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis
2003	—	`conf`	Computing periodic orbits of nondifferentiable/discontinuous mappings through particle swarm optimization. SIS Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	J	`jnl`	Evolutionary Operators in Global Optimization with Dynamic Search Trajectories. Numer. Algorithms Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	B	`conf`	Financial forecasting through unsupervised clustering and evolutionary trained neural networks. IEEE Congress on Evolutionary Computation Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
2003	B	`conf`	Investigating the existence of function roots using particle swarm optimization. IEEE Congress on Evolutionary Computation Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	A	`conf`	Locally recurrent probabilistic neural network for text-independent speaker verification. INTERSPEECH Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis
2003	B	`conf`	Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. PaCT Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis
2003	Misc	`conf`	Parallelizing the Unsupervised k-Windows Clustering Algorithm. PPAM Panagiotis D. Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis
2003	B	`conf`	Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. IEEE Congress on Evolutionary Computation Thomas Bartz-Beielstein, Philipp Limbourg, Jörn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2003	B	`conf`	Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
2002	—	`conf`	Analysis of epileptic magnetoencephalogram dynamics through clustering algorithms. DSP Adam V. Adamopoulos, Basilis Boutsinas, Michael N. Vrahatis, Photios A. Anninos
2002	J	`jnl`	Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Trans. Neural Networks Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2002	J	`jnl`	Globally convergent algorithms with local learning rates. IEEE Trans. Neural Networks George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2002	B	`conf`	Improving the Orthogonal Range Search k -Windows Algorithm. ICTAI Panagiotis D. Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis
2002	J	`jnl`	On the Complexity of Isolating Real Roots and Computing with Certainty the Topological Degree. J. Complex. Bernard Mourrain, Michael N. Vrahatis, Jean-Claude Yakoubsohn
2002	J	`jnl`	Parallel evolutionary training algorithms for "hardware-friendly" neural networks. Nat. Comput. Vassilis P. Plagianakos, Michael N. Vrahatis
2002	B	`conf`	Particle swarm optimization for integer programming. IEEE Congress on Evolutionary Computation Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	B	`conf`	Particle swarm optimization for minimax problems. IEEE Congress on Evolutionary Computation Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	Misc	`conf`	Particle swarm optimization method in multiobjective problems. SAC Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	J	`jnl`	Recent approaches to global optimization problems through Particle Swarm Optimization. Nat. Comput. Konstantinos E. Parsopoulos, Michael N. Vrahatis
2002	J	`jnl`	The New J. Complex. Michael N. Vrahatis, Basilis Boutsinas, Panagiotis D. Alevizos, Georgios Pavlides
2001	J	`jnl`	Artificial nonmonotonic neural networks. Artif. Intell. Basilis Boutsinas, Michael N. Vrahatis
2000	J	`jnl`	A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural Parallel Sci. Comput. George D. Magoulas, Michael N. Vrahatis
2000	—	`conf`	Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2000	J	`jnl`	Globally Convergent Modification of the Quickprop Method. Neural Process. Lett. Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
2000	—	`conf`	Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. IJCNN (5) Vassilis P. Plagianakos, Michael N. Vrahatis
1999	B	`conf`	Convergence analysis of the Quickprop method. IJCNN Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
1999	—	`conf`	Effective neural network training with a different learning rate for each weight. ICECS George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
1999	J	`jnl`	Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural Comput. George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1999	J	`jnl`	Locating and Computing Arbitrarily Distributed Zeros. SIAM J. Sci. Comput. Dimitris J. Kavvadias, Frosso S. Makri, Michael N. Vrahatis
1999	B	`conf`	Neural network training with constrained integer weights. CEC Vassilis P. Plagianakos, Michael N. Vrahatis
1999	—	`conf`	Nonmonotone learning rules for backpropagation networks. ICECS Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
1999	B	`conf`	Nonmonotone methods for backpropagation training with adaptive learning rate. IJCNN Vassilis P. Palgianakos, Michael N. Vrahatis, George D. Magoulas
1999	B	`conf`	Sign-methods for training with imprecise error function and gradient values. IJCNN George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
1997	J	`jnl`	Effective Backpropagation Training with Variable Stepsize. Neural Networks George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1996	—	`conf`	A new method in neural network supervised training with imprecision. ICECS George D. Magoulas, Michael N. Vrahatis, George S. Androulakis
1996	J	`jnl`	Locating and Computing All the Simple Roots and Extrema of a Function. SIAM J. Sci. Comput. Dimitris J. Kavvadias, Michael N. Vrahatis
1996	J	`jnl`	Locating, characterizing and computing the stationary points of a function. Reliab. Comput. Michael N. Vrahatis, Evangelia Triantafyllou
1995	J	`jnl`	A new dimension - reducing method for solving systems of nonlinear equations. Int. J. Comput. Math. Theodoula N. Grapsa, Michael N. Vrahatis
1990	J	`jnl`	Solving systems of nonlinear equations In using a rotating hyperplane in. Int. J. Comput. Math. T. N. Grapsa, Michael N. Vrahatis, Tassos Bountis
1988	J	`jnl`	Algorithm 666: Chabis: a mathematical software package for locating and evaluating roots of systems of nonlinear equations. ACM Trans. Math. Softw. Michael N. Vrahatis
1988	J	`jnl`	Solving systems of nonlinear equations using the nonzero value of the topological degree. ACM Trans. Math. Softw. Michael N. Vrahatis