| 2022 | CASC | Survey on Generalizations of the Intermediate Value Theorem and Applications. | Michael N. Vrahatis |
| 2019 | EANN | A Deep Dense Neural Network for Bankruptcy Prediction. | Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis |
| 2017 | EANN | Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. | Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis |
| 2017 | EANN | Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems. | Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis |
| 2015 | IJCNN | Reliable estimation of a neural network's domain of validity through interval analysis based inversion. | Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis |
| 2013 | BIBE | Performance evaluation of clustering algorithms on microcalcifications as mammography findings. | Emmanouil K. Ikonomakis, George M. Spyrou, Panos A. Ligomenides, Michael N. Vrahatis |
| 2012 | CEC | Multimodal optimization using niching differential evolution with index-based neighborhoods. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2012 | CEC | Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. | Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2012 | EANN | Direct Zero-Norm Minimization for Neural Network Pruning and Training. | Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis |
| 2012 | GECCO | Genetic evolution of L and FL-systems for the production of rhythmic sequences. | Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis |
| 2012 | ICTAI | Intelligent Real-Time Music Accompaniment for Constraint-Free Improvisation. | Maximos A. Kaliakatsos-Papakostas, Andreas Floros, Michael N. Vrahatis |
| 2010 | CEC | Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2009 | CEC | Evolutionary adaptation of the differential evolution control parameters. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2008 | CEC | Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2008 | CEC | A technique for the visualization of population-based algorithms. | Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis |
| 2008 | GECCO | Non-monotone differential evolution. | Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2008 | GECCO | Particle filtering with particle swarm optimization in systems with multiplicative noise. | A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis |
| 2008 | ICONIP | Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation. | Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis |
| 2007 | CEC | Computational intelligence algorithms for risk-adjusted trading strategies. | Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2007 | CEC | Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. | Yiannis G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2006 | CEC | Human Designed Vs. Genetically Programmed Differential Evolution Operators. | Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2006 | ICCSA | Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. | Dimitris K. Tasoulis, Elena C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis |
| 2005 | CEC | Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. | Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2005 | CEC | The new window density function for efficient evolutionary unsupervised clustering. | Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2005 | ICNC | Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. | Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2005 | IJCNN | Spiking neural network training using evolutionary algorithms. | Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis |
| 2005 | IJCNN | Computational intelligence techniques for acute leukemia gene expression data classification. | Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2004 | CEC | Vector evaluated differential evolution for multiobjective optimization. | Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2004 | CEC | Parallel differential evolution. | Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2004 | ESANN | A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. | Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis |
| 2004 | GECCO | Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. | Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis |
| 2004 | ICAISC | Fuzzy Cognitive Maps Learning through Swarm Intelligence. | Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis |
| 2004 | ICAISC | Dynamic Search Trajectory Methods for Neural Network Training. | Yiannis G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2004 | ICAISC | Online Neural Network Training for Automatic Ischemia Episode Detection. | Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis |
| 2004 | ICASSP | Generalized locally recurrent probabilistic neural networks for text-independent speaker verification. | Todor Ganchev, Nikos Fakotakis, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2004 | IJCNN | Parallel tangent methods with variable stepsize. | Yiannis G. Petalas, Michael N. Vrahatis |
| 2003 | CEC | Particle swarm optimizers for Pareto optimization with enhanced archiving techniques. | Thomas Bartz-Beielstein, Philipp Limbourg, Jrn Mehnen, Karlheinz Schmitt, Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2003 | CEC | A first study of fuzzy cognitive maps learning using particle swarm optimization. | Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis |
| 2003 | CEC | Investigating the existence of function roots using particle swarm optimization. | Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2003 | CEC | Financial forecasting through unsupervised clustering and evolutionary trained neural networks. | Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2003 | Interspeech | Locally recurrent probabilistic neural network for text-independent speaker verification. | Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis |
| 2003 | KES | Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. | Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis |
| 2003 | PACT | Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. | Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis |
| 2003 | PPAM | Parallelizing the Unsupervised k-Windows Clustering Algorithm. | Panagiotis D. Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2002 | CEC | Particle swarm optimization for minimax problems. | Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2002 | CEC | Particle swarm optimization for integer programming. | Elena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2002 | ICTAI | Improving the Orthogonal Range Search k -Windows Algorithm. | Panagiotis D. Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis |
| 2002 | SAC | Particle swarm optimization method in multiobjective problems. | Konstantinos E. Parsopoulos, Michael N. Vrahatis |
| 2000 | IJCNN | Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 2000 | IJCNN | Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. | Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | CEC | Neural network training with constrained integer weights. | Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | IJCNN | Sign-methods for training with imprecise error function and gradient values. | George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis |
| 1999 | IJCNN | Nonmonotone methods for backpropagation training with adaptive learning rate. | Vassilis P. Palgianakos, Michael N. Vrahatis, George D. Magoulas |
| 1999 | IJCNN | Convergence analysis of the Quickprop method. | Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos |