Michael N. Vrahatis

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 30

Top Venues

Publications

Michael N. Vrahatis
Towards the mathematical foundation of the minimum enclosing ball and related problems. CoRR (2024)
Michael N. Vrahatis
Generalization of the Apollonius theorem for simplices and related problems. CoRR (2024)
Athanasios I. Salamanis, George A. Gravvanis, Sotiris B. Kotsiantis, Michael N. Vrahatis
Novel Sparse Feature Regression Method for Traffic Forecasting. Int. J. Artif. Intell. Tools 32 (1) (2023)
Konstantinos I. Chatzilygeroudis, Michael N. Vrahatis
Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming. LION (2023)
Konstantinos I. Chatzilygeroudis, Constantinos G. Tsakonas, Michael N. Vrahatis
Evolving Dynamic Locomotion Policies in Minutes. IISA (2023)
Panos K. Syriopoulos, Nektarios G. Kalampalikis, Michael N. Vrahatis
Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO. LION (2022)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, George A. Gravvanis, Michael N. Vrahatis
Rotation forest of random subspace models. Intell. Decis. Technol. 16 (2) (2022)
Panos K. Syriopoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
Survey on KNN Methods in Data Science. LION (2022)
Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis
Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches. CoRR (2022)
Michael N. Vrahatis
Survey on Generalizations of the Intermediate Value Theorem and Applications. CASC (2022)
Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis
Survey of Methods for Solving Systems of Nonlinear Equations, Part II: Optimization Based Approaches. CoRR (2022)
Emmanouil K. Ikonomakis, Marilena M. Bourdakou, George Kolios, Michael N. Vrahatis, George M. Spyrou
Computational insights on the molecular mechanisms across breast cancer progression combining gene differential expression and co-expression. BHI (2021)
Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION (2021)
Stamatios-Aggelos N. Alexandropoulos, Panos M. Pardalos, Michael N. Vrahatis
Dynamic search trajectory methods for global optimization. Ann. Math. Artif. Intell. 88 (1-3) (2020)
Michael N. Vrahatis, Panagiotis Kontogiorgos, George P. Papavassilopoulos
Particle Swarm Optimization for Computing Nash and Stackelberg Equilibria in Energy Markets. Oper. Res. Forum 1 (3) (2020)
Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
Data preprocessing in predictive data mining. Knowl. Eng. Rev. 34 (2019)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Stacking Strong Ensembles of Classifiers. AIAI (2019)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Hybrid local boosting utilizing unlabeled data in classification tasks. Evol. Syst. 10 (1) (2019)
Georgios S. Temponeras, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
Financial Fraudulent Statements Detection through a Deep Dense Artificial Neural Network. IISA (2019)
Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis
Evaluating generalization through interval-based neural network inversion. Neural Comput. Appl. 31 (12) (2019)
Nikolay T. Dukov, Todor D. Ganchev, Michael N. Vrahatis
Evaluation of PNN pattern-layer activation function approximations in different training setups. Int. J. Speech Technol. 22 (4) (2019)
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
A Deep Dense Neural Network for Bankruptcy Prediction. EANN (2019)
Emmanouil K. Ikonomakis, George M. Spyrou, Michael N. Vrahatis
Content driven clustering algorithm combining density and distance functions. Pattern Recognit. 87 (2019)
Michael N. Vrahatis
Generalizations of the Intermediate Value Theorem for Approximating Fixed Points and Zeros of Continuous Functions. NUMTA (2) (2019)
Dimitra-Nefeli A. Zottou, Dimitris J. Kavvadias, Frosso S. Makri, Michael N. Vrahatis
Algorithm 987: MANBIS - A C++ Mathematical Software Package for Locating and Computing Efficiently Many Roots of a Function: Theoretical Issues. ACM Trans. Math. Softw. 44 (3) (2018)
Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems. EANN (2017)
Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis
Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. EANN (2017)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Combining Prototype Selection with Local Boosting. AIAI (2016)
Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
Increasing Diversity in Random Forests Using Naive Bayes. AIAI (2016)
Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras, Michael N. Vrahatis
Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach. J. Mach. Learn. Res. 17 (2016)
Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis
Reliable estimation of a neural network's domain of validity through interval analysis based inversion. IJCNN (2015)
Constantinos Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
p-MEMPSODE: Parallel and irregular memetic global optimization. Comput. Phys. Commun. 197 (2015)
Anastasia-Dimitra Lipitakis, Gerasimos S. Antzoulatos, Sotiris Kotsiantis, Michael N. Vrahatis
Integrating global and local boosting. IISA (2015)
Stavros P. Adam, Dimitrios A. Karras, George D. Magoulas, Michael N. Vrahatis
Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks 54 (2014)
Emmanouil K. Ikonomakis, George M. Spyrou, Panos A. Ligomenides, Michael N. Vrahatis
Performance evaluation of clustering algorithms on microcalcifications as mammography findings. BIBE (2013)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
Chaos and Music: from Time Series Analysis to Evolutionary Composition. Int. J. Bifurc. Chaos 23 (11) (2013)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
A Clustering Strategy for the Key Segmentation of Musical Audio. Comput. Music. J. 37 (1) (2013)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
evoDrummer: Deriving Rhythmic Patterns through Interactive Genetic Algorithms. EvoMUSART (2013)
Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis
Direct Zero-Norm Minimization for Neural Network Pruning and Training. EANN (2012)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
Intelligent Generation of Rhythmic Sequences Using Finite L-systems. IIH-MSP (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation (2012)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis, Nikolaos Kanellopoulos
Real-time drums transcription with characteristic bandpass filtering. Audio Mostly Conference (2012)
Ilias S. Kotsireas, Konstantinos E. Parsopoulos, Grigoris S. Piperagkas, Michael N. Vrahatis
Ant-Based Approaches for Solving Autocorrelation Problems. ANTS (2012)
Constantinos Voglis, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris, Michael N. Vrahatis
MEMPSODE: A global optimization software based on hybridization of population-based algorithms and local searches. Comput. Phys. Commun. 183 (5) (2012)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
Controlling interactive evolution of 8-bit melodies with genetic programming. Soft Comput. 16 (12) (2012)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation (2012)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. 216 (2012)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis
Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound. EvoMUSART (2012)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis
Intelligent Real-Time Music Accompaniment for Constraint-Free Improvisation. ICTAI (2012)
Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis
Genetic evolution of L and FL-systems for the production of rhythmic sequences. GECCO (Companion) (2012)
Gerasimos Antzoulatos, Michael N. Vrahatis
α-Clusterable Sets. ECML/PKDD (1) (2011)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Feature Extraction Using Pitch Class Profile Information Entropy. MCM (2011)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15 (1) (2011)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Finding multiple global optima exploiting differential evolution's niching capability. SDE (2011)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Weighted Markov Chain Model for Musical Composer Identification. EvoApplications (2) (2011)
Michael G. Epitropakis, Michael N. Vrahatis
Studying the Basin of convergence of Methods for Computing periodic orbits. Int. J. Bifurc. Chaos 21 (8) (2011)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. 10 (2) (2010)
Adam V. Adamopoulos, Nicos G. Pavlidis, Michael N. Vrahatis
Evolving cellular automata rules for multiple-step-ahead prediction of complex binary sequences. Math. Comput. Model. 51 (3-4) (2010)
Michael N. Vrahatis, Georgios A. Tsirogiannis, Elena C. Laskari
Novel orbit based symmetric cryptosystems. Math. Comput. Model. 51 (3-4) (2010)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation (2010)
Panagiotis D. Alevizos, Michael N. Vrahatis
Optimal Dynamic Box-Counting Algorithm. Int. J. Bifurc. Chaos 20 (12) (2010)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Musical Composer Identification through Probabilistic and Feedforward Neural Networks. EvoApplications (2) (2010)
Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. 13 (1) (2009)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation (2009)
Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis
A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks. ICDM (Posters) (2009)
Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis
Aitken and Neville inverse interpolation methods for the Lucas logarithm problem. Appl. Math. Comput. 209 (1) (2009)
Konstantinos E. Parsopoulos, Fotini Kariotou, George Dassios, Michael N. Vrahatis
Tackling magnetoencephalography with particle swarm optimization. Int. J. Bio Inspired Comput. 1 (1/2) (2009)
Vasileios L. Georgiou, Sonia Malefaki, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks. LION (2009)
Yiannis G. Petalas, Chris G. Antonopoulos, Tassos Bountis, Michael N. Vrahatis
Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps. Int. J. Bifurc. Chaos 18 (8) (2008)
Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis
A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation (2008)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation (2008)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Non-monotone differential evolution. GECCO (2008)
A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO (2008)
Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis
Fuzzy Evolutionary Probabilistic Neural Networks. ANNPR (2008)
Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis
Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities. Neural Process. Lett. 27 (2) (2008)
Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis
Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation. ICONIP (2) (2008)
Konstantinos E. Parsopoulos, Konstantina Skouri, Michael N. Vrahatis
Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops (2008)
Konstantinos E. Parsopoulos, Michael N. Vrahatis
Parameter selection and adaptation in Unified Particle Swarm Optimization. Math. Comput. Model. 46 (1-2) (2007)
Yiannis G. Petalas, Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Petros P. Groumpos, Michael N. Vrahatis
Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. SIS (2007)
Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis
Applying evolutionary computation methods for the cryptanalysis of Feistel ciphers. Appl. Math. Comput. 184 (1) (2007)
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation (2007)
Dimitris K. Tasoulis, Michael N. Vrahatis
Generalizing the k-Windows clustering algorithm in metric spaces. Math. Comput. Model. 46 (1-2) (2007)
Nicos G. Pavlidis, Michael N. Vrahatis, P. Mossay
Existence and computation of short-run equilibria in economic geography. Appl. Math. Comput. 184 (1) (2007)
Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing 70 (7-9) (2007)
Elena C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Dimitris K. Tasoulis, Michael N. Vrahatis
Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography. Math. Comput. Model. 46 (1-2) (2007)
Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
Memetic particle swarm optimization. Ann. Oper. Res. 156 (1) (2007)
Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis
Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation (2007)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16 (7) (2006)
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
Distributed computing methodology for training neural networks in an image-guided diagnostic application. Comput. Methods Programs Biomed. 81 (3) (2006)
Bernard Mourrain, Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis
Determining the number of real roots of polynomials through neural networks. Comput. Math. Appl. 51 (3-4) (2006)
Susumu Tanabé, Michael N. Vrahatis
On perturbation of roots of homogeneous algebraic systems. Math. Comput. 75 (255) (2006)
Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis
Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) (2006)
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
Evolutionary training of hardware realizable multilayer perceptrons. Neural Comput. Appl. 15 (1) (2006)
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
Financial forecasting through unsupervised clustering and neural networks. Oper. Res. 6 (2) (2006)
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine 38 (3) (2006)
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
Human Designed Vs. Genetically Programmed Differential Evolution Operators. IEEE Congress on Evolutionary Computation (2006)
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI (2006)
Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis
New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. Int. J. Artif. Intell. Tools 15 (3) (2006)
George D. Magoulas, Michael N. Vrahatis
Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. Int. J. Bifurc. Chaos 16 (7) (2006)

Michael N. Vrahatis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael N. Vrahatis