Andreas Stafylopatis

141 papers A 3B 16C 11Misc 4Journal 56Unranked 48
YearRankTypeTitle / Venue / Authors
2024 J jnl
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach.
J. Big Data
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis
2023 J jnl
AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization.
Neural Process. Lett.
George Ioannou, Thanos Tagaris, Andreas Stafylopatis
2023 — conf
Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model.
ICASSP Workshops
Eleanna Vali, Georgios Alexandridis, Andreas Stafylopatis
2023 J jnl
Online Batch Selection for Enhanced Generalization in Imbalanced Datasets.
Algorithms
George Ioannou, Georgios Alexandridis, Andreas Stafylopatis
2023 — conf
The Issue of Baselines in Explainability Methods.
ICDM (Workshops)
George Ioannou, Andreas Stafylopatis
2022 J jnl
Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks.
Sensors
Laurent Pantera, Petr Stulík, Antoni Vidal-Ferràndiz, Amanda Carreño, Damián Ginestar, George Ioannou, Thanos Tasakos, Georgios Alexandridis, Andreas Stafylopatis
2022 C conf
State similarity based Rapid Action Value Estimation for general game playing MCTS agents.
FDG
Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis
2021 J jnl
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization.
Comput. Linguistics
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis
2021 J jnl
Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions.
Knowl. Inf. Syst.
Georgios Stratogiannis, Panagiotis Kouris, Georgios Alexandridis, Georgios Siolas, Giorgos Stamou, Andreas Stafylopatis
2021 — conf
Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images.
ICCVW
George Ioannou, Tasos Papagiannis, Thanos Tagaris, Georgios Alexandridis, Andreas Stafylopatis
2020 J jnl
A versatile package recommendation framework aiming at preference score maximization.
Evol. Syst.
Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis, Andreas Stafylopatis
2020 J jnl
An efficient classification approach in imbalanced datasets for intrinsic plagiarism detection.
Evol. Syst.
Andrianna Polydouri, Eleni Vathi, Georgios Siolas, Andreas Stafylopatis
2020 C conf
Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone.
ICMLA
Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis
2020 J jnl
Hide-and-Seek: A Template for Explainable AI.
CoRR
Thanos Tagaris, Andreas Stafylopatis
2019 C conf
A Robust Deep Ensemble Classifier for Figurative Language Detection.
EANN
Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
2019 — conf
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization.
ACL (1)
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis
2019 — conf
From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization.
WWW (Companion Volume)
Georgios Alexandridis, Thanos Tagaris, Giorgos Siolas, Andreas Stafylopatis
2019 B conf
GAMER: A Genetic Algorithm with Motion Encoding Reuse for Action-Adventure Video Games.
EvoApplications
Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis
2019 — conf
Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data.
VISIGRAPP (5: VISAPP)
Filippos Konidaris, Thanos Tagaris, Maria Sdraka, Andreas Stafylopatis
2019 B conf
High-Resolution Class Activation Mapping.
ICIP
Thanos Tagaris, Maria Sdraka, Andreas Stafylopatis
2019 — conf
Improving the Convergence Speed of Deep Neural Networks with Biased Sampling.
ICAAI
George Ioannou, Thanos Tagaris, Andreas Stafylopatis
2019 — conf
Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors.
ICAAI
Thanos Tagaris, George Ioannou, Maria Sdraka, Georgios Alexandridis, Andreas Stafylopatis
2018 B conf
Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database.
ICIP
Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias
2018 J jnl
Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level.
Algorithms
Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis
2018 J jnl
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset.
Int. J. Artif. Intell. Tools
Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis, Georgios L. Tagaris, Stefanos D. Kollias
2018 B conf
Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information.
ICIP
Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias
2018 B conf
Neural Network Specialists for Inverse Spiral Inductor Design.
ICTAI
Nikolaos Dervenis, Georgios Alexandridis, Andreas Stafylopatis
2018 — conf
Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation.
CIMA@ICTAI
Dimitris Kouremenos, Klimis S. Ntalianis, Giorgos Siolas, Andreas Stafylopatis
2017 — conf
Adaptation and contextualization of deep neural network models.
SSCI
Dimitrios Kollias, Miao Yu, Athanasios Tagaris, Georgios Leontidis, Andreas Stafylopatis, Stefanos D. Kollias
2017 J jnl
Artificial Immune Classifier Based on ELLipsoidal Regions (AICELL)
Comput.
Aris Lanaridis, Giorgos Siolas, Andreas Stafylopatis
2017 C conf
Assessment of Parkinson's Disease Based on Deep Neural Networks.
EANN
Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis
2017 J jnl
Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models.
Data Min. Knowl. Discov.
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2017 C conf
Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning.
EANN
Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis
2017 J jnl
Mining and categorizing interesting topics in Twitter communities.
J. Intell. Fuzzy Syst.
Eleni Vathi, Georgios Siolas, Andreas Stafylopatis
2017 J jnl
ParVecMF: A Paragraph Vector-based Matrix Factorization Recommender System.
CoRR
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2016 — conf
A new approach to session identification by applying fuzzy c-means clustering on web logs.
SSCI
Dimitrios Koutsoukos, Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2016 — conf
On line emotion detection using retrainable deep neural networks.
SSCI
Dimitrios Kollias, Athanasios Tagaris, Andreas Stafylopatis
2015 — ch.
Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach.
Recommendation and Search in Social Networks
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2015 B conf
Advancing the Terminological Classification of Semi-structured Documents.
ICTAI
Georgios Stratogiannis, Georgios Siolas, Georgios Stamou, Andreas Stafylopatis, Alexandros Chortaras, Athanasios Tagaris
2015 J jnl
Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments.
Int. J. Virtual Communities Soc. Netw.
Giorgos Siolas, George Caridakis, Phivos Mylonas, Georgios Stratogiannis, Stefanos D. Kollias, Andreas Stafylopatis
2015 — conf
Mining Interesting Topics in Twitter Communities.
ICCCI (1)
Eleni Vathi, Georgios Siolas, Andreas Stafylopatis
2015 — conf
User and home appliances pervasive interaction in a sensor driven smart home environment: The SandS approach.
SMAP
Georgios Stratogiannis, Aggeliki Vlachostergiou, Georgios Siolas, George Caridakis, Phivos Mylonas, Andreas Stafylopatis, Stefanos D. Kollias
2014 J jnl
Semantic Question Answering Using Wikipedia Categories Clustering.
Int. J. Artif. Intell. Tools
Georgios Stratogiannis, Georgios Siolas, Andreas Stafylopatis
2013 B conf
A biased random walk recommender based on rejection sampling.
ASONAM
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2013 — conf
Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments.
SMAP
Giorgos Siolas, George Caridakis, Phivos Mylonas, Stefanos D. Kollias, Andreas Stafylopatis
2013 — conf
Improving Social Recommendations by applying a Personalized Item Clustering Policy.
RSWeb@RecSys
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2013 — conf
Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens.
EANN (2)
George Caridakis, Georgios Siolas, Phivos Mylonas, Stefanos D. Kollias, Andreas Stafylopatis
2013 — conf
Related Entity Finding Using Semantic Clustering Based on Wikipedia Categories.
IIS
Georgios Stratogiannis, Georgios Siolas, Andreas Stafylopatis
2013 J jnl
Scaled Self-Organizing Map - Hidden Markov Model Architecture for Biological sequence Clustering.
Appl. Artif. Intell.
Christos Ferles, Georgios Siolas, Andreas Stafylopatis
2013 J jnl
Self-Organizing Hidden Markov Model Map (SOHMMM).
Neural Networks
Christos Ferles, Andreas Stafylopatis
2012 J jnl
Applying k-Separability to Collaborative Recommender Systems.
Int. J. Artif. Intell. Tools
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2012 J jnl
DoSO: a document self-organizer.
J. Intell. Inf. Syst.
Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis
2012 J jnl
Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents.
Comput. J.
Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis
2012 J jnl
Improving Semantic Search in Digital Libraries Using Multimedia Analysis.
J. Multim.
Ilianna Kollia, Yannis Kalantidis, Kostas Rapantzikos, Andreas Stafylopatis
2012 — conf
Semantic Query Answering in Digital Libraries.
SETN
Ilianna Kollia, Kostas Rapantzikos, Giorgos B. Stamou, Andreas Stafylopatis
2011 — conf
An Artificial Immune Classifier Using Pseudo-Ellipsoid Rules.
ISCIS
Aris Lanaridis, Andreas Stafylopatis
2011 — conf
Scaled On-line Unsupervised Learning Algorithm for a SOM-HMM Hybrid.
ISCIS
Christos Ferles, Georgios Siolas, Andreas Stafylopatis
2010 — conf
An Artificial Immune Network for Multi-objective Optimization.
ICANN (2)
Aris Lanaridis, Andreas Stafylopatis
2010 — conf
An Efficient Collaborative Recommender System Based on
ICANN (3)
Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis
2010 — conf
Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge.
ISCIS
Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis
2009 B conf
A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words.
ICTAI
Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis
2009 Misc conf
An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control.
AIAI
Minas Pertselakis, Natali Raouzaiou, Andreas Stafylopatis
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
Connectionist Models for Formal Knowledge Adaptation.
ICANN (2)
Ilianna Kollia, Nikos Simou, Giorgos B. Stamou, Andreas Stafylopatis
2009 J jnl
Definition and Adaptation of Weighted Fuzzy Logic Programs.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2009 B conf
Multi-dimensional Raycasting for Fuzzy Pattern Classication.
ICTAI
Aris Lanaridis, Andreas Stafylopatis
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
2008 — conf
A Hybrid Self-Organizing Model for Sequence Analysis.
ICTAI (2)
Christos Ferles, Andreas Stafylopatis
2008 — conf
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics.
ICANN (1)
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias
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 C conf
Clonal Selection-Based Neural Classifier.
HIS
Aris Lanaridis, Vasileios Karakasis, Andreas Stafylopatis
2008 J jnl
Connectionist weighted fuzzy logic programs.
Neurocomputing
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2008 J jnl
Dynamic modular fuzzy neural classifier with tree-based structure identification.
Neurocomputing
Minas Pertselakis, Andreas Stafylopatis
2008 J jnl
Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection.
IEEE Trans. Evol. Comput.
Vasileios Karakasis, Andreas Stafylopatis
2008 A conf
Hand trajectory based gesture recognition using self-organizing feature maps and markov models.
ICME
George Caridakis, Kostas Karpouzis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias
2008 J jnl
International Conference on Artificial Neural Networks (ICANN 2006).
Neurocomputing
Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch
2008 — conf
Semantic Adaptation of Neural Network Classifiers in Image Segmentation.
ICANN (1)
Nikos Simou, Thanos Athanasiadis, Stefanos D. Kollias, Giorgos B. Stamou, Andreas Stafylopatis
2008 C conf
Sequence clustering with the Self-Organizing Hidden Markov Model Map.
BIBE
Christos Ferles, Andreas Stafylopatis
2007 J jnl
A Hybrid Movie Recommender System Based on Neural Networks.
Int. J. Artif. Intell. Tools
Christina Christakou, Spyros Vrettos, Andreas Stafylopatis
2007 C conf
Integrated Query Answering with Weighted Fuzzy Rules.
ECSQARU
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2007 J jnl
Introduction.
Integr. Comput. Aided Eng.
Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch
2007 J jnl
Memory-Based Classification with Dynamic Feature Selection Using Self-Organizing Maps for Pattern Evaluation.
Int. J. Artif. Intell. Tools
Christos Pateritsas, Andreas Stafylopatis
2007 — conf
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps.
ICANN (2)
George Caridakis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias
2007 — conf
Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs.
RR
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2006 B conf
A Connectionist Model for Weighted Fuzzy Programs.
IJCNN
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias
2006 — conf
A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation.
ICANN (2)
Christos Pateritsas, Andreas Stafylopatis
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
Adaptation of Weighted Fuzzy Programs.
ICANN (2)
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2006 — ed.
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I
ICANN (1)
Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
2006 — ed.
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II
ICANN (2)
Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
2006 B conf
Data Mining based on Gene Expression Programming and Clonal Selection.
IEEE Congress on Evolutionary Computation
Vasileios Karakasis, Andreas Stafylopatis
2006 Misc conf
Exploiting Decision Trees in Product-based Fuzzy Neural Modeling to Generate Rules with Dynamically Reduced Dimensionality.
AIAI
Minas Pertselakis, Andreas Stafylopatis
2005 C conf
A Hybrid Movie Recommender System Based on Neural Networks.
ISDA
Christina Christakou, Andreas Stafylopatis
2005 — conf
A Movie Recommender System Based on Semi-supervised Clustering.
CIMCA/IAWTIC
Christina Christakou, Leonidas Lefakis, Spyros Vrettos, Andreas Stafylopatis
2005 J jnl
A multi-clustering fusion scheme for data partitioning.
Int. J. Neural Syst.
Dimitrios S. Frossyniotis, Christos Pateritsas, Andreas Stafylopatis
2005 — conf
Dynamic Rule Structuring based on Rule-Activation Sensitivity Analysis.
CIMCA/IAWTIC
Minas Pertselakis, Andreas Stafylopatis
2005 J jnl
Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm.
Neural Process. Lett.
Tasos Falas, Andreas Stafylopatis
2005 — conf
Independent Nearest Features Memory-Based Classifier.
CIMCA/IAWTIC
Christos Pateritsas, Andreas Stafylopatis
2005 — conf
Learning Ontology Alignments Using Recursive Neural Networks.
ICANN (2)
Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis
2005 B conf
Symbolic rule extraction with a scaled conjugate gradient version of CLARION.
IJCNN
Tasos Falas, Andreas Stafylopatis
2005 J jnl
Wireless Distributed Implementation of a Fuzzy Neural Classification System.
Int. J. Artif. Intell. Tools
Minas Pertselakis, Christos Ferles, Kostas Tsiolis, Andreas Stafylopatis
2004 — conf
A Meta-classifier Approach for Medical Diagnosis.
SETN
George L. Tsirogiannis, Dimitrios S. Frossyniotis, Konstantina S. Nikita, Andreas Stafylopatis
2004 — conf
A SOM-based classifier with enhanced structure learning.
SMC (5)
Christos Pateritsas, Minas Pertselakis, Andreas Stafylopatis
2004 J jnl
A clustering method based on boosting.
Pattern Recognit. Lett.
Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis
2004 B conf
Classification of medical data with a robust multi-level combination scheme.
IJCNN
George L. Tsirogiannis, Dimitrios S. Frossyniotis, John S. Stoitsis, Spyretta Golemati, Andreas Stafylopatis, Konstantina S. Nikita
2003 J jnl
A divide-and-conquer method for multi-net classifiers.
Pattern Anal. Appl.
Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas
2003 C conf
An Adaptable Gaussian Neuro-Fuzzy Classifier.
ICANN
Minas Pertselakis, Dimitrios S. Frossyniotis, Andreas Stafylopatis
2003 — conf
An Intelligent Agent-Mediated Web Trading Environment.
Web Intelligence
Stelios Kouremenos, Spyros Vrettos, Andreas Stafylopatis
2002 — conf
A Multi-clustering Fusion Algorithm.
SETN
Dimitrios S. Frossyniotis, Minas Pertselakis, Andreas Stafylopatis
2002 C conf
Mapping the Growing Neural Gas to Situation Calculus.
ICANN
Dimitrios Vogiatzis, Andreas Stafylopatis
2002 J jnl
Reinforcement learning for rule extraction from a labeled dataset.
Cogn. Syst. Res.
Dimitrios Vogiatzis, Andreas Stafylopatis
2001 — conf
A Fuzzy Rule-Based Agent for Web Retrieval-Filtering.
Web Intelligence
Spyros Vrettos, Andreas Stafylopatis
2001 — conf
A Multi-SVM Classification System.
Multiple Classifier Systems
Dimitrios S. Frossyniotis, Andreas Stafylopatis
2000 J jnl
Training the random neural network using quasi-Newton methods.
Eur. J. Oper. Res.
Aristidis Likas, Andreas Stafylopatis
1999 B conf
A neural network endowed with symbolic processing ability.
IJCNN
Dimitrios Vogiatzis, Andreas Stafylopatis
1998 J jnl
A hybrid neural optimization scheme based on parallel updates.
Int. J. Comput. Math.
George Papageorgiou, Aristidis Likas, Andreas Stafylopatis
1998 — conf
A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities.
EUSIPCO
Nikos A. Vlassis, Konstantinos Blekas, George K. Papakonstantinou, Andreas Stafylopatis
1998 J jnl
Autonomous vehicle navigation using evolutionary reinforcement learning.
Eur. J. Oper. Res.
Andreas Stafylopatis, Konstantinos Blekas
1998 J jnl
Average-Case Complexity for the Execution of Recursive Definitions on Relational Databases.
Acta Informatica
Wenceslas Fernandez de la Vega, Vangelis Th. Paschos, Andreas Stafylopatis
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
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
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
1996 J jnl
Neural network-assisted effective lossy compression of medical images.
Proc. IEEE
Nikos G. Panagiotidis, Dimitris Kalogeras, Stefanos D. Kollias, 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 J jnl
An Approach to Parallel Algorithm Design.
RAIRO Theor. Informatics Appl.
George K. Georgakopoulos, 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
1993 J jnl
Performance Considerations on a Random Graph Model for Parallel Processing.
RAIRO Theor. Informatics Appl.
Foto N. Afrati, 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
Evaluation of the Execution Cost of Recursive Definitions.
Comput. J.
Vangelis Th. Paschos, Andreas Stafylopatis
1992 J jnl
PSM: software tool for simulating, prototyping, and monitoring of multiprocessor systems.
Inf. Softw. Technol.
Andreas Stafylopatis, I. Papakonstantinou, Stefanos Kaxiras
1992 J jnl
Pictorial Information Retrieval Using the Random Neural Network.
IEEE Trans. Software Eng.
Andreas Stafylopatis, Aristidis Likas
1987 Misc conf
Delay Analysis of Resequencing Systems with Partial Ordering.
Performance
Andreas Stafylopatis, Erol Gelenbe
1987 A conf
On the Processing Time of a Parallel Linear System Solver.
ICS
Andreas Stafylopatis, Athanasios Drigas
1987 — conf
Spatial Organization of Neural Networks: A Probabilistic Modeling Approach.
NIPS
Andreas Stafylopatis, Marios D. Dikaiakos, D. Kontoravdis
1982 J jnl
Experience with the Parallel Solutions of Partial Differential Equations on a Distributed Computing System.
IEEE Trans. Computers
Erol Gelenbe, Alain Lichnewsky, Andreas Stafylopatis