Aristidis Likas

190 papers A* 3A 3B 14C 8Misc 2Journal 103Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters. Mach. Learn. Georgios Vardakas, Ioannis Papakostas, Aristidis Likas
2026	J	`jnl`	UniForCE: The Unimodality Forest method for Clustering and Estimation of the number of clusters. Pattern Recognit. Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas
2025	A	`conf`	A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections. UAI Prodromos Kolyvakis, Aristidis Likas
2025	B	`conf`	Counterfactual Explanations for k-Means and Gaussian Clustering. ICTAI Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas
2025	J	`jnl`	Counterfactual Explanations for k-means and Gaussian Clustering. CoRR Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas
2025	J	`jnl`	Efficient error minimization in kernel k-means clustering. Pattern Anal. Appl. Georgios Vardakas, Ioannis Papakostas, Aristidis Likas
2025	B	`conf`	Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances. DS Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas
2025	—	`conf`	Generating Counterfactual Explanations for Clustering Models Based on Their Equivalence to Classification Models. AIAI (1) Antonia Karra, Georgios Vardakas, Evaggelia Pitoura, Aristidis Likas
2025	—	`conf`	Linkage Criteria for Agglomerative Clustering Based on Counterfactual Distances. IISA Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas
2025	J	`jnl`	Silhouette-Guided Instance-Weighted k-means. CoRR Aggelos Semoglou, Aristidis Likas, John Pavlopoulos
2025	J	`jnl`	Statistical modeling of univariate multimodal data. Neurocomputing Paraskevi Chasani, Aristidis Likas
2025	J	`jnl`	TopClustRAG at SIGIR 2025 LiveRAG Challenge. CoRR Juli Bakagianni, John Pavlopoulos, Aristidis Likas
2024	J	`jnl`	Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters. CoRR Georgios Vardakas, Ioannis Papakostas, Aristidis Likas
2024	J	`jnl`	Explainable dating of greek papyri images. Mach. Learn. John Pavlopoulos, Maria Konstantinidou, Elpida Perdiki, Isabelle Marthot-Santaniello, Holger Essler, Georgios Vardakas, Aristidis Likas
2024	J	`jnl`	Global k-means++: an effective relaxation of the global k-means clustering algorithm. Appl. Intell. Georgios Vardakas, Aristidis Likas
2024	J	`jnl`	Optimized neural forms for solving ordinary differential equations. CoRR Adam D. Kypriadis, Isaac E. Lagaris, Aristidis Likas, Konstantinos E. Parsopoulos
2024	—	`conf`	Polarized Opinion Detection Improves the Detection of Toxic Language. EACL (1) John Pavlopoulos, Aristidis Likas
2024	—	`conf`	Revisiting Silhouette Aggregation. DS (1) John Pavlopoulos, Georgios Vardakas, Aristidis Likas
2024	J	`jnl`	Silhouette Aggregation: From Micro to Macro. CoRR Georgios Vardakas, John Pavlopoulos, Aristidis Likas
2024	J	`jnl`	Statistical Modeling of Univariate Multimodal Data. CoRR Paraskevi Chasani, Aristidis Likas
2024	—	`conf`	Statistical Modeling of Univariate Unimodal Data Using Π-Sigmoid Mixture Models. AIAI (3) Paraskevi Chasani, Aristidis Likas
2024	—	`conf`	The Inclusion Criterion for Data Clustering Quality. SETN Nikolaos Kornelakis, Aristidis Likas
2024	J	`jnl`	Unsupervised Decision Trees for Axis Unimodal Clustering. Inf. Paraskevi Chasani, Aristidis Likas
2023	J	`jnl`	A Multivariate Unimodality Test Harnenssing the Dip Statistic of Mahalanobis Distances Over Random Projections. CoRR Prodromos Kolyvakis, Aristidis Likas
2023	J	`jnl`	A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerization. Biomed. Signal Process. Control. Panagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas
2023	J	`jnl`	Distance from Unimodality for the Assessment of Opinion Polarization. Cogn. Comput. John Pavlopoulos, Aristidis Likas
2023	B	`conf`	Explaining the Chronological Attribution of Greek Papyri Images. DS John Pavlopoulos, Maria Konstantinidou, Georgios Vardakas, Isabelle Marthot-Santaniello, Elpida Perdiki, Dimitris Koutsianos, Aristidis Likas, Holger Essler
2023	J	`jnl`	Neural clustering based on implicit maximum likelihood. Neural Comput. Appl. Georgios Vardakas, Aristidis Likas
2023	J	`jnl`	UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters. CoRR Georgios Vardakas, Argyris Kalogeratos, Aristidis Likas
2022	J	`jnl`	A replication strategy for mobile opportunistic networks based on utility clustering. Ad Hoc Networks Evangelos Papapetrou, Aristidis Likas
2022	J	`jnl`	Face clustering using a weighted combination of deep representations. Neural Comput. Appl. Dafni Skiadopoulou, Aristidis Likas
2022	J	`jnl`	Global k-means++: an effective relaxation of the global k-means clustering algorithm. CoRR Georgios Vardakas, Aristidis Likas
2022	—	`conf`	Implicit Maximum Likelihood Clustering. AIAI (2) Georgios Vardakas, Aristidis Likas
2022	—	`conf`	Object Detection and Navigation of a Mobile Robot by Fusing Laser and Camera Information. MED Spyridon Syntakas, Kostas Vlachos, Aristidis Likas
2022	J	`jnl`	Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons' Materials, Techniques, and State of Preservation: A Case Study. J. Imaging Theofanis Gerodimos, Anastasios Asvestas, Georgios P. Mastrotheodoros, Giannis K. Chantas, Ioannis Liougos, Aristidis Likas, Dimitrios F. Anagnostopoulos
2022	J	`jnl`	The UU-test for statistical modeling of unimodal data. Pattern Recognit. Paraskevi Chasani, Aristidis Likas
2022	—	`conf`	Transformer-Based Music Language Modelling and Transcription. SETN Christos Zonios, John Pavlopoulos, Aristidis Likas
2020	J	`jnl`	The UU-test for Statistical Modeling of Unimodal Data. CoRR Paraskevi Chasani, Aristidis Likas
2019	J	`jnl`	A Replication Strategy for Mobile Opportunistic Networks based on Utility Clustering. CoRR Evangelos Papapetrou, Aristidis Likas
2019	J	`jnl`	Editorial. Neural Comput. Appl. Giacomo Boracchi, Lazaros S. Iliadis, Aristidis Likas
2018	J	`jnl`	Camera Motion Detection Through Frame Splitting and Combination of Region-Based Motion Signals. Int. J. Pattern Recognit. Artif. Intell. Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas
2018	C	`conf`	Cluster-Based Replication: A Forwarding Strategy for Mobile Opportunistic Networks. WOWMOM Evangelos Papapetrou, Aristidis Likas
2018	C	`conf`	Inverting video slide shows. ICMV Dimitrios Bekos, Vasileios Chasanis, Aristidis Likas
2018	B	`conf`	Multi-Threshold LIP Contour Detection. ICIP Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis D. Bassukas
2018	B	`conf`	The Inclusion Measure for Community Evaluation and Detection in Unweighted Networks. ASONAM Nikolaos Koufos, Aristidis Likas
2018	—	`conf`	The Projected Dip-means Clustering Algorithm. SETN Theofilos Chamalis, Aristidis Likas
2017	J	`jnl`	Automatic discrimination of actinic keratoses from clinical photographs. Comput. Biol. Medicine Panagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas
2017	C	`ed.`	Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings EANN Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas
2017	J	`jnl`	Real time visual tracking using a spatially weighted von Mises mixture model. Pattern Recognit. Lett. Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2016	—	`conf`	Improving Text Stream Clustering using Term Burstiness and Co-burstiness. SETN Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas
2016	J	`jnl`	PRESS: PRotEin S-Sulfenylation server. Bioinform. Marianna Sakka, Grigorios Tzortzis, Michalis D. Mantzaris, Nick Bekas, Tahsin F. Kellici, Aristidis Likas, Dimitrios Galaris, Ioannis P. Gerothanassis, Andreas G. Tzakos
2016	J	`jnl`	Weighted multi-view key-frame extraction. Pattern Recognit. Lett. Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas
2015	J	`jnl`	Editorial. Int. J. Artif. Intell. Tools Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
2015	J	`jnl`	Elimination of Outliers from 2-D Point Sets Using the Helmholtz Principle. IEEE Signal Process. Lett. Demetrios P. Gerogiannis, Christophoros Nikou, Aristidis Likas
2015	J	`jnl`	Visual tracking using spatially weighted likelihood of Gaussian mixtures. Comput. Vis. Image Underst. Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2014	C	`conf`	An agglomerative approach for shot summarization based on content homogeneity. ICMV Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas
2014	—	`ed.`	Artificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings SETN Aristidis Likas, Konstantinos Blekas, Dimitris Kalles
2014	B	`conf`	Global sampling of image edges. ICIP Demetrios P. Gerogiannis, Christophoros Nikou, Aristidis Likas
2014	B	`conf`	Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering. ICPR Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas
2014	J	`jnl`	Modeling sets of unordered points using highly eccentric ellipses. EURASIP J. Adv. Signal Process. Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2014	—	`conf`	Ratio-Based Multiple Kernel Clustering. ECML/PKDD (3) Grigorios Tzortzis, Aristidis Likas
2014	J	`jnl`	Sparse regression mixture modeling with the multi-kernel relevance vector machine. Knowl. Inf. Syst. Konstantinos Blekas, Aristidis Likas
2014	J	`jnl`	The MinMax k-Means clustering algorithm. Pattern Recognit. Grigorios Tzortzis, Aristidis Likas
2013	J	`jnl`	Fully Unsupervised M-FISH Chromosome Image Characterization. IEEE J. Biomed. Health Informatics Petros S. Karvelis, Aristidis Likas
2012	—	`conf`	Dip-means: an incremental clustering method for estimating the number of clusters. NIPS Argyris Kalogeratos, Aristidis Likas
2012	B	`conf`	Fast and efficient vanishing point detection in indoor images. ICPR Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2012	—	`conf`	Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes. IIH-MSP Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2012	—	`conf`	Greedy Unsupervised Multiple Kernel Learning. SETN Grigorios Tzortzis, Aristidis Likas
2012	A	`conf`	Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas
2012	A*	`conf`	Kernel-Based Weighted Multi-view Clustering. ICDM Grigorios Tzortzis, Aristidis Likas
2012	J	`jnl`	Registering sets of points using Bayesian regression. Neurocomputing Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2012	J	`jnl`	Text document clustering using global term context vectors. Knowl. Inf. Syst. Argyris Kalogeratos, Aristidis Likas
2012	A*	`conf`	The Mixture of Multi-kernel Relevance Vector Machines Model. ICDM Konstantinos Blekas, Aristidis Likas
2012	B	`conf`	Visual Tracking by Weighted Likelihood Maximization. ICTAI Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2011	C	`conf`	A split-and-merge framework for 2D shape summarization. ISPA Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2011	J	`jnl`	Document clustering using synthetic cluster prototypes. Data Knowl. Eng. Argyris Kalogeratos, Aristidis Likas
2011	—	`conf`	Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj
2011	J	`jnl`	Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering. Image Vis. Comput. Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2010	J	`jnl`	A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures. IEEE Trans. Image Process. Christophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos
2010	—	`conf`	An Incremental Bayesian Approach for Training Multilayer Perceptrons. ICANN (1) Dimitris Tzikas, Aristidis Likas
2010	—	`conf`	Event Detection and Classification in Video Surveillance Sequences. SETN Vasileios Chasanis, Aristidis Likas
2010	J	`jnl`	Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. Pattern Recognit. Lett. Petros S. Karvelis, Aristidis Likas, Dimitrios I. Fotiadis
2010	—	`conf`	Visual Tracking by Adaptive Kalman Filtering and Mean Shift. SETN Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas
2009	Misc	`conf`	Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. AIAI Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
2009	—	`conf`	Convex Mixture Models for Multi-view Clustering. ICANN (2) Grigorios Tzortzis, Aristidis Likas
2009	—	`conf`	Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2009	—	`conf`	Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas
2009	J	`jnl`	Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models. IET Image Process. Apostolos Marakakis, Nikolaos Galatsanos, Aristidis Likas, Andreas Stafylopatis
2009	—	`conf`	Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
2009	J	`jnl`	Scene Detection in Videos Using Shot Clustering and Sequence Alignment. IEEE Trans. Multim. Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2009	J	`jnl`	Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. Pattern Recognit. Lett. Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2009	J	`jnl`	Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Trans. Neural Networks Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2009	J	`jnl`	The Global Kernel k -Means Algorithm for Clustering in Feature Space. IEEE Trans. Neural Networks Grigorios Tzortzis, Aristidis Likas
2009	J	`jnl`	The mixtures of Student's t-distributions as a robust framework for rigid registration. Image Vis. Comput. Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2009	J	`jnl`	Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Trans. Image Process. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2008	—	`conf`	A Sparse Regression Mixture Model for Clustering Time-Series. SETN Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas
2008	—	`ch.`	A Support Vector Machine Approach for Video Shot Detection. New Directions in Intelligent Interactive Multimedia Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2008	—	`conf`	Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. ICTAI (1) Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
2008	—	`conf`	Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2008	—	`conf`	Incremental Relevance Vector Machine with Kernel Learning. SETN Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2008	—	`conf`	Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR Anastasios Alivanoglou, Aristidis Likas
2008	J	`jnl`	Semi-supervised and active learning with the probabilistic RBF classifier. Neurocomputing Constantinos Constantinopoulos, Aristidis Likas
2008	B	`conf`	The global kernel k-means clustering algorithm. IJCNN Grigorios Tzortzis, Aristidis Likas
2008	J	`jnl`	Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Trans. Image Process. Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael A. Saunders
2008	—	`conf`	Video rushes summarization using spectral clustering and sequence alignment. TVS Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2007	J	`jnl`	A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. IEEE Trans. Image Process. Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas
2007	J	`jnl`	Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Medical Imaging Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother
2007	—	`conf`	Deep Belief Networks for Spam Filtering. ICTAI (2) Grigorios Tzortzis, Aristidis Likas
2007	C	`conf`	Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP Constantinos Constantinopoulos, Aristidis Likas
2007	J	`jnl`	Large Scale Multikernel Relevance Vector Machine for Object Detection. Int. J. Artif. Intell. Tools Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2007	Misc	`conf`	Rigid Image Registration based on Pixel Grouping. ICIAP Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2007	A*	`conf`	Robust Image Registration using Mixtures of t-distributions. ICCV Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas
2007	—	`conf`	Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2007	C	`conf`	Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation. MMSP Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
2007	B	`conf`	Transductive Reliability Estimation for Kernel Based Classifiers. IDA Dimitris Tzikas, Matjaz Kukar, Aristidis Likas
2007	J	`jnl`	Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Trans. Neural Networks Constantinos Constantinopoulos, Aristidis Likas
2007	—	`conf`	Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2006	—	`conf`	A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. ICANN (2) Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
2006	—	`conf`	A Significance-Based Graph Model for Clustering Web Documents. SETN Argyris Kalogeratos, Aristidis Likas
2006	J	`jnl`	A novel method for automated EMG decomposition and MUAP classification. Artif. Intell. Medicine Christos D. Katsis, Yorgos Goletsis, Aristidis Likas, Dimitrios I. Fotiadis, Ioannis Sarmas
2006	—	`conf`	Active Learning with the Probabilistic RBF Classifier. ICANN (1) Constantinos Constantinopoulos, Aristidis Likas
2006	J	`jnl`	An incremental training method for the probabilistic RBF network. IEEE Trans. Neural Networks Constantinos Constantinopoulos, Aristidis Likas
2006	J	`jnl`	Bayesian Feature and Model Selection for Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas
2006	J	`jnl`	Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. IEEE Trans. Image Process. Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas
2006	—	`conf`	Image segmentation with a class-adaptive spatially constrained mixture model. EUSIPCO Christophoros Nikou, Nikolaos Galatsanos, Aristidis Likas, Konstantinos Blekas
2006	—	`conf`	Large Scale Multikernel RVM for Object Detection. SETN Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2006	—	`conf`	Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. EUSIPCO Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
2005	J	`jnl`	A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
2005	—	`conf`	An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. ICANN (2) Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos
2005	J	`jnl`	An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones. IEEE Trans. Biomed. Eng. Vasilios C. Protopappas, Dina Baga, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios A. Papachristos, Konstantinos N. Malizos
2005	J	`jnl`	Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artif. Intell. Medicine Athanasios N. Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas
2005	—	`conf`	Maximum a posteriori image restoration based on a new directional continuous edge image prior. ICIP (1) John Chantas, Nikolas P. Galatsanos, Aristidis Likas
2005	J	`jnl`	Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
2005	J	`jnl`	Motif-Based Protein Sequence Classification Using Neural Networks. J. Comput. Biol. Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
2005	J	`jnl`	Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel Sci. Comput. Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas
2005	J	`jnl`	Semantics-based information modeling for the health-care administration sector: the Citation platform. IEEE Trans. Inf. Technol. Biomed. Aristidis G. Anagnostakis, M. Tzima, G. C. Sakellaris, Dimitrios I. Fotiadis, Aristidis Likas
2004	J	`jnl`	A clustering method based on boosting. Pattern Recognit. Lett. Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis
2004	J	`jnl`	A variational approach for Bayesian blind image deconvolution. IEEE Trans. Signal Process. Aristidis Likas, Nikolas P. Galatsanos
2004	J	`jnl`	Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. IEEE Trans. Biomed. Eng. Yorgos Goletsis, Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis
2004	—	`conf`	Bayesian regression of functional neuroimages. EUSIPCO Dimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
2004	—	`conf`	Efficient Training Algorithms for the Probabilistic RBF Network. SETN Constantinos Constantinopoulos, Aristidis Likas
2004	—	`conf`	Incremental Mixture Learning for Clustering Discrete Data. SETN Konstantinos Blekas, Aristidis Likas
2004	—	`conf`	Mixture model based image segmentation with spatial constraints. EUSIPCO Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
2004	—	`conf`	Non Stationary Bayesian Image Restoration. ICPR (4) Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas
2004	—	`conf`	Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) Konstantinos Valasoulis, Aristidis Likas
2004	—	`conf`	Relevance Vector Machine Analysis of Functional Neuroimages. ISBI Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
2003	J	`jnl`	A Portable Decision Making Tool for Health Professionals Based on Neural Networks. Health Informatics J. Fotis Vartziotis, Dimitrios I. Fotiadis, Aristidis Likas, Isaac E. Lagaris
2003	J	`jnl`	A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas
2003	—	`conf`	A variational method for Bayesian blind image deconvolution. ICIP (2) Aristidis Likas, Nikolas P. Galatsanos
2003	J	`jnl`	CITATION: Smart Administrations in the Healthcare Sector. Health Informatics J. Aristidis G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas
2003	J	`jnl`	Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing. IEEE Trans. Pattern Anal. Mach. Intell. Michalis K. Titsias, Aristidis Likas
2003	J	`jnl`	Greedy mixture learning for multiple motif discovery in biological sequences. Bioinform. Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
2003	C	`conf`	Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas
2003	J	`jnl`	The global k-means clustering algorithm. Pattern Recognit. Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek
2002	—	`conf`	A Bayesian Regularization Method for the Probabilistic RBF Network. SETN Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas
2002	J	`jnl`	A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Process. Lett. Nikos Vlassis, Aristidis Likas
2002	J	`jnl`	An automatic microcalcification detection system based on a hybrid neural network classifier. Artif. Intell. Medicine Athanasios N. Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas
2002	J	`jnl`	An ischemia detection method based on artificial neural networks. Artif. Intell. Medicine Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis
2002	—	`conf`	CITATION - Citizen Information Tool in Smart Administration. EGOV Aristidis G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas
2002	J	`jnl`	Mixture of Experts Classification Using a Hierarchical Mixture Model. Neural Comput. Michalis K. Titsias, Aristidis Likas
2002	—	`conf`	Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. SETN Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas
2002	—	`conf`	Solving differential equations with neural networks: implementation on a DSP platform. DSP Konstantinos Valasoulis, Dimitrios I. Fotiadis, Isaac E. Lagaris, Aristidis Likas
2002	—	`conf`	The "Citation" Platform: Semantics-Based Modeling & Retrieval of Administrative Information. ICWI Aristidis G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas
2001	J	`jnl`	Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. Neural Process. Lett. Aristidis Likas
2001	J	`jnl`	Shared kernel models for class conditional density estimation. IEEE Trans. Neural Networks Michalis K. Titsias, Aristidis Likas
2000	—	`conf`	A Probabilistic RBF Network for Classification. IJCNN (4) Michalis K. Titsias, Aristidis Likas
2000	B	`conf`	A robust knowledge-based technique for ischemia detection in noisy ECGs. KES Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios P. Liavas, Lampros K. Michalis
2000	J	`jnl`	Neural-network methods for boundary value problems with irregular boundaries. IEEE Trans. Neural Networks Learn. Syst. Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou
2000	J	`jnl`	Training the random neural network using quasi-Newton methods. Eur. J. Oper. Res. Aristidis Likas, Andreas Stafylopatis
1999	J	`jnl`	A Reinforcement Learning Approach to Online Clustering. Neural Comput. Aristidis Likas
1999	J	`jnl`	A kurtosis-based dynamic approach to Gaussian mixture modeling. IEEE Trans. Syst. Man Cybern. Part A Nikos Vlassis, Aristidis Likas
1999	J	`jnl`	Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Process. Lett. Aristidis Likas, Isaac E. Lagaris
1998	J	`jnl`	A hybrid neural optimization scheme based on parallel updates. Int. J. Comput. Math. George Papageorgiou, Aristidis Likas, Andreas Stafylopatis
1998	J	`jnl`	Artificial neural networks for solving ordinary and partial differential equations. IEEE Trans. Neural Networks Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis
1998	J	`jnl`	Improved exploration in Hopfield network state-space through parameter perturbation driven by simulated annealing. Eur. J. Oper. Res. George Papageorgiou, Aristidis Likas, Andreas Stafylopatis
1998	J	`jnl`	Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains CoRR Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou
1998	J	`jnl`	Neural network training and simulation using a multidimensional optimization system. Int. J. Comput. Math. Aristidis Likas, Dimitris A. Karras, Isaac E. Lagaris
1998	J	`jnl`	Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR Aristidis Likas, Isaac E. Lagaris
1997	J	`jnl`	A Connectionist Approach for Solving Large Constraint Satisfaction Problems. Appl. Intell. Aristidis Likas, George Papageorgiou, Andreas Stafylopatis
1997	B	`conf`	A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis
1996	J	`jnl`	A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. Neural Process. Lett. Aristidis Likas, Konstantinos Blekas
1996	J	`jnl`	Group updates and multiscaling: an efficient neural network approach to combinatorial optimization. IEEE Trans. Syst. Man Cybern. Part B Aristidis Likas, Andreas Stafylopatis
1996	J	`jnl`	High Capacity Associative Memory Based on The Random Neural Network Model. Int. J. Pattern Recognit. Artif. Intell. Aristidis Likas, Andreas Stafylopatis
1995	J	`jnl`	A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. Inf. Process. Lett. Aristidis Likas, Andreas Stafylopatis
1995	J	`jnl`	A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates. Neural Parallel Sci. Comput. Aristidis Likas, George Papageorgiou, Andreas Stafylopatis
1995	J	`jnl`	Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes. Neural Comput. Appl. D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis
1995	—	`conf`	Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis
1993	B	`conf`	Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems. ESANN D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis
1992	A	`conf`	Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. ECAI D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis
1992	J	`jnl`	Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. Andreas Stafylopatis, Aristidis Likas