Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. - D. Kontoravdis; Aristidis Likas; Andreas Stafylopatis (ECAI, 1992)

Pictorial Information Retrieval Using the Random Neural Network. - Andreas Stafylopatis; Aristidis Likas (IEEE Trans. Software Eng., 1992)

Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems. - D. Kontoravdis; Aristidis Likas; Andreas Stafylopatis (ESANN, 1993)

Parallel Recombinative Reinforcement Learning (Extended Abstract). - Aristidis Likas; Konstantinos Blekas; Andreas Stafylopatis (ECML, 1995)

A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. - Aristidis Likas; Andreas Stafylopatis (Inf. Process. Lett., 1995)

Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes. - D. Kontoravdis; Aristidis Likas; Andreas Stafylopatis (Neural Comput. Appl., 1995)

A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates. - Aristidis Likas; George Papageorgiou; Andreas Stafylopatis (Neural Parallel Sci. Comput., 1995)

High Capacity Associative Memory Based on The Random Neural Network Model. - Aristidis Likas; Andreas Stafylopatis (Int. J. Pattern Recognit. Artif. Intell., 1996)

A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. - Aristidis Likas; Konstantinos Blekas (Neural Process. Lett., 1996)

Group updates and multiscaling: an efficient neural network approach to combinatorial optimization. - Aristidis Likas; Andreas Stafylopatis (IEEE Trans. Syst. Man Cybern. Part B, 1996)

A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. - Konstantinos Blekas; Aristidis Likas; Andreas Stafylopatis (ICTAI, 1997)

A Connectionist Approach for Solving Large Constraint Satisfaction Problems. - Aristidis Likas; George Papageorgiou; Andreas Stafylopatis (Appl. Intell., 1997)

Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains - Isaac E. Lagaris; Aristidis Likas; Dimitris G. Papageorgiou (CoRR, 1998)

Improved exploration in Hopfield network state-space through parameter perturbation driven by simulated annealing. - George Papageorgiou; Aristidis Likas; Andreas Stafylopatis (Eur. J. Oper. Res., 1998)

Neural network training and simulation using a multidimensional optimization system. - Aristidis Likas; Dimitris A. Karras; Isaac E. Lagaris (Int. J. Comput. Math., 1998)

A hybrid neural optimization scheme based on parallel updates. - George Papageorgiou; Aristidis Likas; Andreas Stafylopatis (Int. J. Comput. Math., 1998)

Artificial neural networks for solving ordinary and partial differential equations. - Isaac E. Lagaris; Aristidis Likas; Dimitrios I. Fotiadis (IEEE Trans. Neural Networks, 1998)

A Reinforcement Learning Approach to Online Clustering. - Aristidis Likas (Neural Comput., 1999)

Training Reinforcement Neurocontrollers Using the Polytope Algorithm. - Aristidis Likas; Isaac E. Lagaris (Neural Process. Lett., 1999)

A kurtosis-based dynamic approach to Gaussian mixture modeling. - Nikos Vlassis; Aristidis Likas (IEEE Trans. Syst. Man Cybern. Part A, 1999)

A Probabilistic RBF Network for Classification. - Michalis K. Titsias; Aristidis Likas (IJCNN (4), 2000)

A robust knowledge-based technique for ischemia detection in noisy ECGs. - Costas Papaloukas; Dimitrios I. Fotiadis; Aristidis Likas; Athanasios P. Liavas; Lampros K. Michalis (KES, 2000)

Training the random neural network using quasi-Newton methods. - Aristidis Likas; Andreas Stafylopatis (Eur. J. Oper. Res., 2000)

Neural-network methods for boundary value problems with irregular boundaries. - Isaac E. Lagaris; Aristidis Likas; Dimitris G. Papageorgiou (IEEE Trans. Neural Networks Learn. Syst., 2000)

Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. - Aristidis Likas (Neural Process. Lett., 2001)

Shared kernel models for class conditional density estimation. - Michalis K. Titsias; Aristidis Likas (IEEE Trans. Neural Networks, 2001)

CITATION - Citizen Information Tool in Smart Administration. - Aristidis G. Anagnostakis; G. C. Sakellaris; M. Tzima; Dimitrios I. Fotiadis; Aristidis Likas (EGOV, 2002)

The "Citation" Platform: Semantics-Based Modeling & Retrieval of Administrative Information. - Aristidis G. Anagnostakis; G. C. Sakellaris; M. Tzima; Dimitrios I. Fotiadis; Aristidis Likas (ICWI, 2002)

Solving differential equations with neural networks: implementation on a DSP platform. - Konstantinos Valasoulis; Dimitrios I. Fotiadis; Isaac E. Lagaris; Aristidis Likas (DSP, 2002)

A Bayesian Regularization Method for the Probabilistic RBF Network. - Constantinos Constantinopoulos; Michalis K. Titsias; Aristidis Likas (SETN, 2002)

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. - Ioannis G. Tsoulos; Isaac E. Lagaris; Aristidis Likas (SETN, 2002)

An automatic microcalcification detection system based on a hybrid neural network classifier. - Athanasios N. Papadopoulos; Dimitrios I. Fotiadis; Aristidis Likas (Artif. Intell. Medicine, 2002)

An ischemia detection method based on artificial neural networks. - Costas Papaloukas; Dimitrios I. Fotiadis; Aristidis Likas; Lampros K. Michalis (Artif. Intell. Medicine, 2002)

Mixture of Experts Classification Using a Hierarchical Mixture Model. - Michalis K. Titsias; Aristidis Likas (Neural Comput., 2002)

A Greedy EM Algorithm for Gaussian Mixture Learning. - Nikos Vlassis; Aristidis Likas (Neural Process. Lett., 2002)

Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (ICANN, 2003)

A variational method for Bayesian blind image deconvolution. - Aristidis Likas; Nikolas P. Galatsanos (ICIP (2), 2003)

Greedy mixture learning for multiple motif discovery in biological sequences. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (Bioinform., 2003)

CITATION: Smart Administrations in the Healthcare Sector. - Aristidis G. Anagnostakis; G. C. Sakellaris; M. Tzima; Dimitrios I. Fotiadis; Aristidis Likas (Health Informatics J., 2003)

A Portable Decision Making Tool for Health Professionals Based on Neural Networks. - Fotis Vartziotis; Dimitrios I. Fotiadis; Aristidis Likas; Isaac E. Lagaris (Health Informatics J., 2003)

A divide-and-conquer method for multi-net classifiers. - Dimitrios Frosyniotis; Andreas Stafylopatis; Aristidis Likas (Pattern Anal. Appl., 2003)

Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing. - Michalis K. Titsias; Aristidis Likas (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

The global k-means clustering algorithm. - Aristidis Likas; Nikos Vlassis; Jakob J. Verbeek (Pattern Recognit., 2003)

Mixture model based image segmentation with spatial constraints. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (EUSIPCO, 2004)

Bayesian regression of functional neuroimages. - Dimitris G. Tzikas; Aristidis Likas; Nikolas P. Galatsanos; Ana S. Lukic; Miles N. Wernick (EUSIPCO, 2004)

Non Stationary Bayesian Image Restoration. - Giannis K. Chantas; Nikolas P. Galatsanos; Aristidis Likas (ICPR (4), 2004)

Probabilistic Shape-Based Image Indexing and Retrieval. - Konstantinos Valasoulis; Aristidis Likas (ICPR (2), 2004)

Relevance Vector Machine Analysis of Functional Neuroimages. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos; Ana S. Lukic; Miles N. Wernick (ISBI, 2004)

Incremental Mixture Learning for Clustering Discrete Data. - Konstantinos Blekas; Aristidis Likas (SETN, 2004)

Efficient Training Algorithms for the Probabilistic RBF Network. - Constantinos Constantinopoulos; Aristidis Likas (SETN, 2004)

A clustering method based on boosting. - Dimitrios S. Frossyniotis; Aristidis Likas; Andreas Stafylopatis (Pattern Recognit. Lett., 2004)

Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. - Yorgos Goletsis; Costas Papaloukas; Dimitrios I. Fotiadis; Aristidis Likas; Lampros K. Michalis (IEEE Trans. Biomed. Eng., 2004)

A variational approach for Bayesian blind image deconvolution. - Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Signal Process., 2004)

An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. - Giorgos Sfikas; Constantinos Constantinopoulos; Aristidis Likas; Nikolas P. Galatsanos (ICANN (2), 2005)

Maximum a posteriori image restoration based on a new directional continuous edge image prior. - John Chantas; Nikolas P. Galatsanos; Aristidis Likas (ICIP (1), 2005)

Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. - Athanasios N. Papadopoulos; Dimitrios I. Fotiadis; Aristidis Likas (Artif. Intell. Medicine, 2005)

Motif-Based Protein Sequence Classification Using Neural Networks. - Konstantinos Blekas; Dimitrios I. Fotiadis; Aristidis Likas (J. Comput. Biol., 2005)

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. - Ioannis G. Tsoulos; Isaac E. Lagaris; Aristidis Likas (Neural Parallel Sci. Comput., 2005)

An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones. - Vasilios C. Protopappas; Dina Baga; Dimitrios I. Fotiadis; Aristidis Likas; Athanasios A. Papachristos; Konstantinos N. Malizos (IEEE Trans. Biomed. Eng., 2005)

Semantics-based information modeling for the health-care administration sector: the Citation platform. - Aristidis G. Anagnostakis; M. Tzima; G. C. Sakellaris; Dimitrios I. Fotiadis; Aristidis Likas (IEEE Trans. Inf. Technol. Biomed., 2005)

Mixture model analysis of DNA microarray images. - Konstantinos Blekas; Nikolas P. Galatsanos; Aristidis Likas; Isaac E. Lagaris (IEEE Trans. Medical Imaging, 2005)

A spatially constrained mixture model for image segmentation. - Konstantinos Blekas; Aristidis Likas; Nikolas P. Galatsanos; Isaac E. Lagaris (IEEE Trans. Neural Networks, 2005)

Image segmentation with a class-adaptive spatially constrained mixture model. - Christophoros Nikou; Nikolaos Galatsanos; Aristidis Likas; Konstantinos Blekas (EUSIPCO, 2006)

Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (EUSIPCO, 2006)

Active Learning with the Probabilistic RBF Classifier. - Constantinos Constantinopoulos; Aristidis Likas (ICANN (1), 2006)

A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. - Apostolos Marakakis; Nikolas P. Galatsanos; Aristidis Likas; Andreas Stafylopatis (ICANN (2), 2006)

A Significance-Based Graph Model for Clustering Web Documents. - Argyris Kalogeratos; Aristidis Likas (SETN, 2006)

Large Scale Multikernel RVM for Object Detection. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (SETN, 2006)

A novel method for automated EMG decomposition and MUAP classification. - Christos D. Katsis; Yorgos Goletsis; Aristidis Likas; Dimitrios I. Fotiadis; Ioannis Sarmas (Artif. Intell. Medicine, 2006)

Bayesian Feature and Model Selection for Gaussian Mixture Models. - Constantinos Constantinopoulos; Michalis K. Titsias; Aristidis Likas (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. - Giannis K. Chantas; Nikolas P. Galatsanos; Aristidis Likas (IEEE Trans. Image Process., 2006)

An incremental training method for the probabilistic RBF network. - Constantinos Constantinopoulos; Aristidis Likas (IEEE Trans. Neural Networks, 2006)

Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. - Constantinos Constantinopoulos; Aristidis Likas (CAIP, 2007)

Robust Image Registration using Mixtures of t-distributions. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (ICCV, 2007)

Rigid Image Registration based on Pixel Grouping. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (ICIAP, 2007)

Variational Bayesian Blind Image Deconvolution with Student-T Priors. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (ICIP (1), 2007)

Deep Belief Networks for Spam Filtering. - Grigorios Tzortzis; Aristidis Likas (ICTAI (2), 2007)

Transductive Reliability Estimation for Kernel Based Classifiers. - Dimitris Tzikas; Matjaz Kukar; Aristidis Likas (IDA, 2007)

Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (MMSP, 2007)

Robust variational bayesian kernel based blind image deconvolution. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (VISAPP (Special Sessions), 2007)

Large Scale Multikernel Relevance Vector Machine for Object Detection. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (Int. J. Artif. Intell. Tools, 2007)

A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. - Christophoros Nikou; Nikolas P. Galatsanos; Aristidis Likas (IEEE Trans. Image Process., 2007)

Bayesian Kernel Methods for Analysis of Functional Neuroimages. - Ana S. Lukic; Miles N. Wernick; Dimitris Tzikas; Xu Chen; Aristidis Likas; Nikolas P. Galatsanos; Yongyi Yang; E. Zhao; Stephen C. Strother (IEEE Trans. Medical Imaging, 2007)

Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. - Constantinos Constantinopoulos; Aristidis Likas (IEEE Trans. Neural Networks, 2007)

Probabilistic Models Based on the Pi-Sigmoid Distribution. - Anastasios Alivanoglou; Aristidis Likas (ANNPR, 2008)

Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (ICANN (1), 2008)

Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. - Apostolos Marakakis; Nikolas P. Galatsanos; Aristidis Likas; Andreas Stafylopatis (ICTAI (1), 2008)

The global kernel k-means clustering algorithm. - Grigorios Tzortzis; Aristidis Likas (IJCNN, 2008)

Video rushes summarization using spectral clustering and sequence alignment. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (TVS, 2008)

A Sparse Regression Mixture Model for Clustering Time-Series. - Konstantinos Blekas; Nikolas P. Galatsanos; Aristidis Likas (SETN, 2008)

Incremental Relevance Vector Machine with Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (SETN, 2008)

Semi-supervised and active learning with the probabilistic RBF classifier. - Constantinos Constantinopoulos; Aristidis Likas (Neurocomputing, 2008)

The variational approximation for Bayesian inference. - Dimitris G. Tzikas; Aristidis C. Likas; Nikolas P. Galatsanos (IEEE Signal Process. Mag., 2008)

Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. - Giannis K. Chantas; Nikolas P. Galatsanos; Aristidis Likas; Michael A. Saunders (IEEE Trans. Image Process., 2008)

A Support Vector Machine Approach for Video Shot Detection. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (New Directions in Intelligent Interactive Multimedia, 2008)

Movie segmentation into scenes and chapters using locally weighted bag of visual words. - Vasileios Chasanis; Argyris Kalogeratos; Aristidis Likas (CIVR, 2009)

Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. - Apostolos Marakakis; Nikolas P. Galatsanos; Aristidis Likas; Andreas Stafylopatis (ICANN (1), 2009)

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (ICANN (1), 2009)

Convex Mixture Models for Multi-view Clustering. - Grigorios Tzortzis; Aristidis Likas (ICANN (2), 2009)

Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. - Apostolos Marakakis; Nikolas P. Galatsanos; Aristidis Likas; Andreas Stafylopatis (AIAI, 2009)

Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models. - Apostolos Marakakis; Nikolaos Galatsanos; Aristidis Likas; Andreas Stafylopatis (IET Image Process., 2009)

The mixtures of Student's t-distributions as a robust framework for rigid registration. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (Image Vis. Comput., 2009)

Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (Pattern Recognit. Lett., 2009)

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Image Process., 2009)

Scene Detection in Videos Using Shot Clustering and Sequence Alignment. - Vasileios Chasanis; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Multim., 2009)

Sparse Bayesian Modeling With Adaptive Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Neural Networks, 2009)

The Global Kernel k -Means Algorithm for Clustering in Feature Space. - Grigorios Tzortzis; Aristidis Likas (IEEE Trans. Neural Networks, 2009)

An Incremental Bayesian Approach for Training Multilayer Perceptrons. - Dimitris Tzikas; Aristidis Likas (ICANN (1), 2010)

Event Detection and Classification in Video Surveillance Sequences. - Vasileios Chasanis; Aristidis Likas (SETN, 2010)

Visual Tracking by Adaptive Kalman Filtering and Mean Shift. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (SETN, 2010)

Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. - Petros S. Karvelis; Aristidis Likas; Dimitrios I. Fotiadis (Pattern Recognit. Lett., 2010)

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures. - Christophoros Nikou; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Image Process., 2010)

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. - Marko Robnik-Sikonja; Aristidis Likas; Constantinos Constantinopoulos; Igor Kononenko 001; Erik Strumbelj (ICANNGA (1), 2011)

A split-and-merge framework for 2D shape summarization. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (ISPA, 2011)

Document clustering using synthetic cluster prototypes. - Argyris Kalogeratos; Aristidis Likas (Data Knowl. Eng., 2011)

Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (Image Vis. Comput., 2011)

Integrating particle swarm optimization with reinforcement learning in noisy problems. - Grigoris S. Piperagkas; George K. Georgoulas; Konstantinos E. Parsopoulos; Chrysostomos D. Stylios; Aristidis Likas (GECCO, 2012)

The Mixture of Multi-kernel Relevance Vector Machines Model. - Konstantinos Blekas; Aristidis Likas (ICDM, 2012)

Kernel-Based Weighted Multi-view Clustering. - Grigorios Tzortzis; Aristidis Likas (ICDM, 2012)

Fast and efficient vanishing point detection in indoor images. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (ICPR, 2012)

Visual Tracking by Weighted Likelihood Maximization. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (ICTAI, 2012)

Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (IIH-MSP, 2012)

Dip-means: an incremental clustering method for estimating the number of clusters. - Argyris Kalogeratos; Aristidis Likas (NIPS, 2012)

Greedy Unsupervised Multiple Kernel Learning. - Grigorios Tzortzis; Aristidis Likas (SETN, 2012)

Registering sets of points using Bayesian regression. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (Neurocomputing, 2012)

Text document clustering using global term context vectors. - Argyris Kalogeratos; Aristidis Likas (Knowl. Inf. Syst., 2012)

Fully Unsupervised M-FISH Chromosome Image Characterization. - Petros S. Karvelis; Aristidis Likas (IEEE J. Biomed. Health Informatics, 2013)

Global sampling of image edges. - Demetrios P. Gerogiannis; Christophoros Nikou; Aristidis Likas (ICIP, 2014)

An agglomerative approach for shot summarization based on content homogeneity. - Antonis Ioannidis; Vasileios Chasanis; Aristidis Likas (ICMV, 2014)

Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering. - Antonis Ioannidis; Vasileios Chasanis; Aristidis Likas (ICPR, 2014)

Ratio-Based Multiple Kernel Clustering. - Grigorios Tzortzis; Aristidis Likas (ECML/PKDD (3), 2014)

Modeling sets of unordered points using highly eccentric ellipses. - Demetrios Gerogiannis; Christophoros Nikou; Aristidis Likas (EURASIP J. Adv. Signal Process., 2014)

Sparse regression mixture modeling with the multi-kernel relevance vector machine. - Konstantinos Blekas; Aristidis Likas (Knowl. Inf. Syst., 2014)

The MinMax k-Means clustering algorithm. - Grigorios Tzortzis; Aristidis Likas (Pattern Recognit., 2014)

Visual tracking using spatially weighted likelihood of Gaussian mixtures. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (Comput. Vis. Image Underst., 2015)

Editorial. - Aristidis Likas; Konstantinos Blekas; Dimitris Kalles (Int. J. Artif. Intell. Tools, 2015)

Elimination of Outliers from 2-D Point Sets Using the Helmholtz Principle. - Demetrios P. Gerogiannis; Christophoros Nikou; Aristidis Likas (IEEE Signal Process. Lett., 2015)

Improving Text Stream Clustering using Term Burstiness and Co-burstiness. - Argyris Kalogeratos; Panagiotis Zagorisios; Aristidis Likas (SETN, 2016)

PRESS: PRotEin S-Sulfenylation server. - Marianna Sakka; Grigorios Tzortzis; Michalis D. Mantzaris; Nick Bekas; Tahsin F. Kellici; Aristidis Likas; Dimitrios Galaris; Ioannis P. Gerothanassis; Andreas G. Tzakos (Bioinform., 2016)

Weighted multi-view key-frame extraction. - Antonis Ioannidis; Vasileios Chasanis; Aristidis Likas (Pattern Recognit. Lett., 2016)

Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. - Stavros P. Adam; Aristidis C. Likas; Michael N. Vrahatis (EANN, 2017)

Automatic discrimination of actinic keratoses from clinical photographs. - Panagiota Spyridonos; Georgios Gaitanis; Aristidis Likas; Ioannis D. Bassukas (Comput. Biol. Medicine, 2017)

Real time visual tracking using a spatially weighted von Mises mixture model. - Vasileios Karavasilis; Christophoros Nikou; Aristidis Likas (Pattern Recognit. Lett., 2017)

The Inclusion Measure for Community Evaluation and Detection in Unweighted Networks. - Nikolaos Koufos; Aristidis Likas (ASONAM, 2018)

Multi-Threshold LIP Contour Detection. - Panagiota Spyridonos; Aggelos Fares Saint; Aristidis Likas; Georgios Gaitanis; Ioannis D. Bassukas (ICIP, 2018)

Inverting video slide shows. - Dimitrios Bekos; Vasileios Chasanis; Aristidis Likas (ICMV, 2018)

The Projected Dip-means Clustering Algorithm. - Theofilos Chamalis; Aristidis Likas (SETN, 2018)

Cluster-Based Replication: A Forwarding Strategy for Mobile Opportunistic Networks. - Evangelos Papapetrou; Aristidis Likas (WOWMOM, 2018)

Camera Motion Detection Through Frame Splitting and Combination of Region-Based Motion Signals. - Antonis Ioannidis; Vasileios Chasanis; Aristidis Likas (Int. J. Pattern Recognit. Artif. Intell., 2018)

Evaluating generalization through interval-based neural network inversion. - Stavros P. Adam; Aristidis C. Likas; Michael N. Vrahatis (Neural Comput. Appl., 2019)

Editorial. - Giacomo Boracchi; Lazaros S. Iliadis; Aristidis Likas (Neural Comput. Appl., 2019)

Implicit Maximum Likelihood Clustering. - Georgios Vardakas; Aristidis Likas (AIAI (2), 2022)

Object Detection and Navigation of a Mobile Robot by Fusing Laser and Camera Information. - Spyridon Syntakas; Kostas Vlachos; Aristidis Likas (MED, 2022)

Transformer-Based Music Language Modelling and Transcription. - Christos Zonios; John Pavlopoulos; Aristidis Likas (SETN, 2022)

A replication strategy for mobile opportunistic networks based on utility clustering. - Evangelos Papapetrou; Aristidis Likas (Ad Hoc Networks, 2022)

A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions. - Stavros P. Adam; Aristidis C. Likas (CoRR, 2022)

Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons' Materials, Techniques, and State of Preservation: A Case Study. - Theofanis Gerodimos; Anastasios Asvestas; Georgios P. Mastrotheodoros; Giannis K. Chantas; Ioannis Liougos; Aristidis Likas; Dimitrios F. Anagnostopoulos (J. Imaging, 2022)

Face clustering using a weighted combination of deep representations. - Dafni Skiadopoulou; Aristidis Likas (Neural Comput. Appl., 2022)

The UU-test for statistical modeling of unimodal data. - Paraskevi Chasani; Aristidis Likas (Pattern Recognit., 2022)

Explaining the Chronological Attribution of Greek Papyri Images. - John Pavlopoulos; Maria Konstantinidou; Georgios Vardakas; Isabelle Marthot-Santaniello; Elpida Perdiki; Dimitris Koutsianos; Aristidis Likas; Holger Essler (DS, 2023)

A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerization. - Panagiota Spyridonos; Georgios Gaitanis; Aristidis Likas; Ioannis D. Bassukas (Biomed. Signal Process. Control., 2023)

A Multivariate Unimodality Test Harnenssing the Dip Statistic of Mahalanobis Distances Over Random Projections. - Prodromos Kolyvakis; Aristidis Likas (CoRR, 2023)

UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. - Georgios Vardakas; Argyris Kalogeratos; Aristidis Likas (CoRR, 2023)

Distance from Unimodality for the Assessment of Opinion Polarization. - John Pavlopoulos; Aristidis Likas (Cogn. Comput., 2023)

Neural clustering based on implicit maximum likelihood. - Georgios Vardakas; Aristidis Likas (Neural Comput. Appl., 2023)

Revisiting Silhouette Aggregation. - John Pavlopoulos; Georgios Vardakas; Aristidis Likas (DS (1), 2024)

Polarized Opinion Detection Improves the Detection of Toxic Language. - John Pavlopoulos; Aristidis Likas (EACL (1), 2024)

Statistical Modeling of Univariate Unimodal Data Using Π-Sigmoid Mixture Models. - Paraskevi Chasani; Aristidis Likas (AIAI (3), 2024)

The Inclusion Criterion for Data Clustering Quality. - Nikolaos Kornelakis; Aristidis Likas (SETN, 2024)

Silhouette Aggregation: From Micro to Macro. - Georgios Vardakas; John Pavlopoulos; Aristidis Likas (CoRR, 2024)

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters. - Georgios Vardakas; Ioannis Papakostas; Aristidis Likas (CoRR, 2024)

Optimized neural forms for solving ordinary differential equations. - Adam D. Kypriadis; Isaac E. Lagaris; Aristidis Likas; Konstantinos E. Parsopoulos (CoRR, 2024)

Explainable dating of greek papyri images. - John Pavlopoulos; Maria Konstantinidou; Elpida Perdiki; Isabelle Marthot-Santaniello; Holger Essler; Georgios Vardakas; Aristidis Likas (Mach. Learn., 2024)

Global k-means++: an effective relaxation of the global k-means clustering algorithm. - Georgios Vardakas; Aristidis Likas (Appl. Intell., 2024)

Generating Counterfactual Explanations for Clustering Models Based on Their Equivalence to Classification Models. - Antonia Karra; Georgios Vardakas; Evaggelia Pitoura; Aristidis Likas (AIAI (1), 2025)

A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections. - Prodromos Kolyvakis; Aristidis Likas (UAI, 2025)

Statistical modeling of univariate multimodal data. - Paraskevi Chasani; Aristidis Likas (Neurocomputing, 2025)

Counterfactual Explanations for k-means and Gaussian Clustering. - Georgios Vardakas; Antonia Karra; Evaggelia Pitoura; Aristidis Likas (CoRR, 2025)

Silhouette-Guided Instance-Weighted k-means. - Aggelos Semoglou; Aristidis Likas; John Pavlopoulos (CoRR, 2025)

TopClustRAG at SIGIR 2025 LiveRAG Challenge. - Juli Bakagianni; John Pavlopoulos; Aristidis Likas (CoRR, 2025)

Efficient error minimization in kernel k-means clustering. - Georgios Vardakas; Ioannis Papakostas; Aristidis Likas (Pattern Anal. Appl., 2025)