Experience with the Parallel Solutions of Partial Differential Equations on a Distributed Computing System. - Erol Gelenbe; Alain Lichnewsky; Andreas Stafylopatis (IEEE Trans. Computers, 1982)

On the Processing Time of a Parallel Linear System Solver. - Andreas Stafylopatis; Athanasios Drigas (ICS, 1987)

Spatial Organization of Neural Networks: A Probabilistic Modeling Approach. - Andreas Stafylopatis; Marios D. Dikaiakos; D. Kontoravdis (NIPS, 1987)

Delay Analysis of Resequencing Systems with Partial Ordering. - Andreas Stafylopatis; Erol Gelenbe (Performance, 1987)

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

Evaluation of the Execution Cost of Recursive Definitions. - Vangelis Th. Paschos; Andreas Stafylopatis (Comput. J., 1992)

PSM: software tool for simulating, prototyping, and monitoring of multiprocessor systems. - Andreas Stafylopatis; I. Papakonstantinou; Stefanos Kaxiras (Inf. Softw. Technol., 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)

Performance Considerations on a Random Graph Model for Parallel Processing. - Foto N. Afrati; Andreas Stafylopatis (RAIRO Theor. Informatics Appl., 1993)

An Approach to Parallel Algorithm Design. - George K. Georgakopoulos; Andreas Stafylopatis (RAIRO Theor. Informatics Appl., 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)

Neural network-assisted effective lossy compression of medical images. - Nikos G. Panagiotidis; Dimitris Kalogeras; Stefanos D. Kollias; Andreas Stafylopatis (Proc. IEEE, 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)

A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities. - Nikos A. Vlassis; Konstantinos Blekas; George K. Papakonstantinou; Andreas Stafylopatis (EUSIPCO, 1998)

Average-Case Complexity for the Execution of Recursive Definitions on Relational Databases. - Wenceslas Fernandez de la Vega; Vangelis Th. Paschos; Andreas Stafylopatis (Acta Informatica, 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)

Autonomous vehicle navigation using evolutionary reinforcement learning. - Andreas Stafylopatis; Konstantinos Blekas (Eur. J. Oper. Res., 1998)

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

The impact of the error function selection in neural network-based classifiers. - Tasos Falas; Andreas-Georgios Stafylopatis (IJCNN, 1999)

A neural network endowed with symbolic processing ability. - Dimitrios Vogiatzis; Andreas Stafylopatis (IJCNN, 1999)

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

A Multi-SVM Classification System. - Dimitrios S. Frossyniotis; Andreas Stafylopatis (Multiple Classifier Systems, 2001)

A Fuzzy Rule-Based Agent for Web Retrieval-Filtering. - Spyros Vrettos; Andreas Stafylopatis (Web Intelligence, 2001)

Mapping the Growing Neural Gas to Situation Calculus. - Dimitrios Vogiatzis; Andreas Stafylopatis (ICANN, 2002)

A Multi-clustering Fusion Algorithm. - Dimitrios S. Frossyniotis; Minas Pertselakis; Andreas Stafylopatis (SETN, 2002)

Reinforcement learning for rule extraction from a labeled dataset. - Dimitrios Vogiatzis; Andreas Stafylopatis (Cogn. Syst. Res., 2002)

An Adaptable Gaussian Neuro-Fuzzy Classifier. - Minas Pertselakis; Dimitrios S. Frossyniotis; Andreas Stafylopatis (ICANN, 2003)

An Intelligent Agent-Mediated Web Trading Environment. - Stelios Kouremenos; Spyros Vrettos; Andreas Stafylopatis (Web Intelligence, 2003)

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

Classification of medical data with a robust multi-level combination scheme. - George L. Tsirogiannis; Dimitrios S. Frossyniotis; John S. Stoitsis; Spyretta Golemati; Andreas Stafylopatis; Konstantina S. Nikita (IJCNN, 2004)

A Meta-classifier Approach for Medical Diagnosis. - George L. Tsirogiannis; Dimitrios S. Frossyniotis; Konstantina S. Nikita; Andreas Stafylopatis (SETN, 2004)

A SOM-based classifier with enhanced structure learning. - Christos Pateritsas; Minas Pertselakis; Andreas Stafylopatis (SMC (5), 2004)

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

A Movie Recommender System Based on Semi-supervised Clustering. - Christina Christakou; Leonidas Lefakis; Spyros Vrettos; Andreas Stafylopatis (CIMCA/IAWTIC, 2005)

Independent Nearest Features Memory-Based Classifier. - Christos Pateritsas; Andreas Stafylopatis (CIMCA/IAWTIC, 2005)

Dynamic Rule Structuring based on Rule-Activation Sensitivity Analysis. - Minas Pertselakis; Andreas Stafylopatis (CIMCA/IAWTIC, 2005)

Learning Ontology Alignments Using Recursive Neural Networks. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (ICANN (2), 2005)

Symbolic rule extraction with a scaled conjugate gradient version of CLARION. - Tasos Falas; Andreas Stafylopatis (IJCNN, 2005)

A Hybrid Movie Recommender System Based on Neural Networks. - Christina Christakou; Andreas Stafylopatis (ISDA, 2005)

Wireless Distributed Implementation of a Fuzzy Neural Classification System. - Minas Pertselakis; Christos Ferles; Kostas Tsiolis; Andreas Stafylopatis (Int. J. Artif. Intell. Tools, 2005)

A multi-clustering fusion scheme for data partitioning. - Dimitrios S. Frossyniotis; Christos Pateritsas; Andreas Stafylopatis (Int. J. Neural Syst., 2005)

Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm. - Tasos Falas; Andreas Stafylopatis (Neural Process. Lett., 2005)

Data Mining based on Gene Expression Programming and Clonal Selection. - Vasileios Karakasis; Andreas Stafylopatis (IEEE Congress on Evolutionary Computation, 2006)

Adaptation of Weighted Fuzzy Programs. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (ICANN (2), 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 Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation. - Christos Pateritsas; Andreas Stafylopatis (ICANN (2), 2006)

Exploiting Decision Trees in Product-based Fuzzy Neural Modeling to Generate Rules with Dynamically Reduced Dimensionality. - Minas Pertselakis; Andreas Stafylopatis (AIAI, 2006)

A Connectionist Model for Weighted Fuzzy Programs. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis; Stefanos D. Kollias (IJCNN, 2006)

Integrated Query Answering with Weighted Fuzzy Rules. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (ECSQARU, 2007)

Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps. - George Caridakis; Christos Pateritsas; Athanasios I. Drosopoulos; Andreas Stafylopatis; Stefanos D. Kollias (ICANN (2), 2007)

Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (RR, 2007)

Introduction. - Stefanos D. Kollias; Andreas Stafylopatis; Wlodzislaw Duch (Integr. Comput. Aided Eng., 2007)

A Hybrid Movie Recommender System Based on Neural Networks. - Christina Christakou; Spyros Vrettos; Andreas Stafylopatis (Int. J. Artif. Intell. Tools, 2007)

Memory-Based Classification with Dynamic Feature Selection Using Self-Organizing Maps for Pattern Evaluation. - Christos Pateritsas; Andreas Stafylopatis (Int. J. Artif. Intell. Tools, 2007)

Sequence clustering with the Self-Organizing Hidden Markov Model Map. - Christos Ferles; Andreas Stafylopatis (BIBE, 2008)

Clonal Selection-Based Neural Classifier. - Aris Lanaridis; Vasileios Karakasis; Andreas Stafylopatis (HIS, 2008)

Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis; Stefanos D. Kollias (ICANN (1), 2008)

Semantic Adaptation of Neural Network Classifiers in Image Segmentation. - Nikos Simou; Thanos Athanasiadis; Stefanos D. Kollias; Giorgos B. Stamou; Andreas Stafylopatis (ICANN (1), 2008)

Hand trajectory based gesture recognition using self-organizing feature maps and markov models. - George Caridakis; Kostas Karpouzis; Christos Pateritsas; Athanasios I. Drosopoulos; Andreas Stafylopatis; Stefanos D. Kollias (ICME, 2008)

A Hybrid Self-Organizing Model for Sequence Analysis. - Christos Ferles; Andreas Stafylopatis (ICTAI (2), 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)

Connectionist weighted fuzzy logic programs. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (Neurocomputing, 2008)

International Conference on Artificial Neural Networks (ICANN 2006). - Stefanos D. Kollias; Andreas Stafylopatis; Wlodzislaw Duch (Neurocomputing, 2008)

Dynamic modular fuzzy neural classifier with tree-based structure identification. - Minas Pertselakis; Andreas Stafylopatis (Neurocomputing, 2008)

Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection. - Vasileios Karakasis; Andreas Stafylopatis (IEEE Trans. Evol. Comput., 2008)

Connectionist Models for Formal Knowledge Adaptation. - Ilianna Kollia; Nikos Simou; Giorgos B. Stamou; Andreas Stafylopatis (ICANN (2), 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)

Multi-dimensional Raycasting for Fuzzy Pattern Classication. - Aris Lanaridis; Andreas Stafylopatis (ICTAI, 2009)

A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words. - Gerasimos Spanakis; Georgios Siolas; Andreas Stafylopatis (ICTAI, 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)

An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control. - Minas Pertselakis; Natali Raouzaiou; 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)

Definition and Adaptation of Weighted Fuzzy Logic Programs. - Alexandros Chortaras; Giorgos B. Stamou; Andreas Stafylopatis (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

An Efficient Collaborative Recommender System Based on k-Separability. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (ICANN (3), 2010)

An Artificial Immune Network for Multi-objective Optimization. - Aris Lanaridis; Andreas Stafylopatis (ICANN (2), 2010)

Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge. - Gerasimos Spanakis; Georgios Siolas; Andreas Stafylopatis (ISCIS, 2010)

Scaled On-line Unsupervised Learning Algorithm for a SOM-HMM Hybrid. - Christos Ferles; Georgios Siolas; Andreas Stafylopatis (ISCIS, 2011)

An Artificial Immune Classifier Using Pseudo-Ellipsoid Rules. - Aris Lanaridis; Andreas Stafylopatis (ISCIS, 2011)

Semantic Query Answering in Digital Libraries. - Ilianna Kollia; Kostas Rapantzikos; Giorgos B. Stamou; Andreas Stafylopatis (SETN, 2012)

Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents. - Gerasimos Spanakis; Georgios Siolas; Andreas Stafylopatis (Comput. J., 2012)

Applying k-Separability to Collaborative Recommender Systems. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (Int. J. Artif. Intell. Tools, 2012)

DoSO: a document self-organizer. - Gerasimos Spanakis; Georgios Siolas; Andreas Stafylopatis (J. Intell. Inf. Syst., 2012)

Improving Semantic Search in Digital Libraries Using Multimedia Analysis. - Ilianna Kollia; Yannis Kalantidis; Kostas Rapantzikos; Andreas Stafylopatis (J. Multim., 2012)

A biased random walk recommender based on rejection sampling. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (ASONAM, 2013)

Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens. - George Caridakis; Georgios Siolas; Phivos Mylonas; Stefanos D. Kollias; Andreas Stafylopatis (EANN (2), 2013)

Related Entity Finding Using Semantic Clustering Based on Wikipedia Categories. - Georgios Stratogiannis; Georgios Siolas; Andreas Stafylopatis (IIS, 2013)

Modeling context and fuzzy personas towards an intelligent Future Internet smart home paradigm. - Phivos Mylonas; Georgios Siolas; George Caridakis; Stefanos D. Kollias; Andreas-Georgios Stafylopatis (Intelligent Environments (Workshops), 2013)

Improving Social Recommendations by applying a Personalized Item Clustering Policy. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (RSWeb@RecSys, 2013)

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments. - Giorgos Siolas; George Caridakis; Phivos Mylonas; Stefanos D. Kollias; Andreas Stafylopatis (SMAP, 2013)

Scaled Self-Organizing Map - Hidden Markov Model Architecture for Biological sequence Clustering. - Christos Ferles; Georgios Siolas; Andreas Stafylopatis (Appl. Artif. Intell., 2013)

Self-Organizing Hidden Markov Model Map (SOHMMM). - Christos Ferles; Andreas Stafylopatis (Neural Networks, 2013)

Semantic Question Answering Using Wikipedia Categories Clustering. - Georgios Stratogiannis; Georgios Siolas; Andreas Stafylopatis (Int. J. Artif. Intell. Tools, 2014)

Mining Interesting Topics in Twitter Communities. - Eleni Vathi; Georgios Siolas; Andreas Stafylopatis (ICCCI (1), 2015)

Advancing the Terminological Classification of Semi-structured Documents. - Georgios Stratogiannis; Georgios Siolas; Georgios Stamou; Andreas Stafylopatis; Alexandros Chortaras; Athanasios Tagaris (ICTAI, 2015)

Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction. - Dimitris Kollias; George Marandianos; Amaryllis Raouzaiou; Andreas-Georgios Stafylopatis (SMAP, 2015)

User and home appliances pervasive interaction in a sensor driven smart home environment: The SandS approach. - Georgios Stratogiannis; Aggeliki Vlachostergiou; Georgios Siolas; George Caridakis; Phivos Mylonas; Andreas Stafylopatis; Stefanos D. Kollias (SMAP, 2015)

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments. - Giorgos Siolas; George Caridakis; Phivos Mylonas; Georgios Stratogiannis; Stefanos D. Kollias; Andreas Stafylopatis (Int. J. Virtual Communities Soc. Netw., 2015)

Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (Recommendation and Search in Social Networks, 2015)

On line emotion detection using retrainable deep neural networks. - Dimitrios Kollias; Athanasios Tagaris; Andreas Stafylopatis (SSCI, 2016)

A new approach to session identification by applying fuzzy c-means clustering on web logs. - Dimitrios Koutsoukos; Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (SSCI, 2016)

Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning. - Andrianna Polydouri; Georgios Siolas; Andreas Stafylopatis (EANN, 2017)

Assessment of Parkinson's Disease Based on Deep Neural Networks. - Athanasios Tagaris; Dimitrios Kollias; Andreas Stafylopatis (EANN, 2017)

Adaptation and contextualization of deep neural network models. - Dimitrios Kollias; Miao Yu 001; Athanasios Tagaris; Georgios Leontidis; Andreas Stafylopatis; Stefanos D. Kollias (SSCI, 2017)

Artificial Immune Classifier Based on ELLipsoidal Regions (AICELL) †. - Aris Lanaridis; Giorgos Siolas; Andreas Stafylopatis (Comput., 2017)

Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models. - Georgios Alexandridis; Georgios Siolas; Andreas Stafylopatis (Data Min. Knowl. Discov., 2017)

Mining and categorizing interesting topics in Twitter communities. - Eleni Vathi; Georgios Siolas; Andreas Stafylopatis (J. Intell. Fuzzy Syst., 2017)

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. - Aggeliki Vlachostergiou; Athanasios Tagaris; Andreas Stafylopatis; Stefanos D. Kollias (ICIP, 2018)

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information. - Aggeliki Vlachostergiou; Athanasios Tagaris; Andreas Stafylopatis; Stefanos D. Kollias (ICIP, 2018)

Neural Network Specialists for Inverse Spiral Inductor Design. - Nikolaos Dervenis; Georgios Alexandridis; Andreas Stafylopatis (ICTAI, 2018)

Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation. - Dimitris Kouremenos; Klimis S. Ntalianis; Giorgos Siolas; Andreas Stafylopatis (CIMA@ICTAI, 2018)

Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level. - Aggeliki Vlachostergiou; George Caridakis; Phivos Mylonas; Andreas Stafylopatis (Algorithms, 2018)

Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset. - Athanasios Tagaris; Dimitrios Kollias; Andreas Stafylopatis; Georgios L. Tagaris; Stefanos D. Kollias (Int. J. Artif. Intell. Tools, 2018)

Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization. - Panagiotis Kouris; Georgios Alexandridis; Andreas Stafylopatis (ACL (1), 2019)

A Robust Deep Ensemble Classifier for Figurative Language Detection. - Rolandos Alexandros Potamias; Georgios Siolas; Andreas Stafylopatis (EANN, 2019)

GAMER: A Genetic Algorithm with Motion Encoding Reuse for Action-Adventure Video Games. - Tasos Papagiannis; Georgios Alexandridis; Andreas Stafylopatis (EvoApplications, 2019)

Improving the Convergence Speed of Deep Neural Networks with Biased Sampling. - George Ioannou; Thanos Tagaris; Andreas Stafylopatis (ICAAI, 2019)

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors. - Thanos Tagaris; George Ioannou; Maria Sdraka; Georgios Alexandridis; Andreas Stafylopatis (ICAAI, 2019)

High-Resolution Class Activation Mapping. - Thanos Tagaris; Maria Sdraka; Andreas Stafylopatis (ICIP, 2019)

Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. - Ilianna Kollia; Andreas-Georgios Stafylopatis; Stefanos D. Kollias (IJCNN, 2019)

Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data. - Filippos Konidaris; Thanos Tagaris; Maria Sdraka; Andreas Stafylopatis (VISIGRAPP (5: VISAPP), 2019)

From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization. - Georgios Alexandridis; Thanos Tagaris; Giorgos Siolas; Andreas Stafylopatis (WWW (Companion Volume), 2019)

Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone. - Tasos Papagiannis; Georgios Alexandridis; Andreas Stafylopatis (ICMLA, 2020)

Hide-and-Seek: A Template for Explainable AI. - Thanos Tagaris; Andreas Stafylopatis (CoRR, 2020)

A versatile package recommendation framework aiming at preference score maximization. - Panagiotis Kouris; Iraklis Varlamis; Georgios Alexandridis; Andreas Stafylopatis (Evol. Syst., 2020)

An efficient classification approach in imbalanced datasets for intrinsic plagiarism detection. - Andrianna Polydouri; Eleni Vathi; Georgios Siolas; Andreas Stafylopatis (Evol. Syst., 2020)

A transformer-based approach to irony and sarcasm detection. - Rolandos Alexandros Potamias; Georgios Siolas; Andreas-Georgios Stafylopatis (Neural Comput. Appl., 2020)

Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images. - George Ioannou; Tasos Papagiannis; Thanos Tagaris; Georgios Alexandridis; Andreas Stafylopatis (ICCVW, 2021)

Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization. - Panagiotis Kouris; Georgios Alexandridis; Andreas Stafylopatis (Comput. Linguistics, 2021)

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions. - Georgios Stratogiannis; Panagiotis Kouris; Georgios Alexandridis; Georgios Siolas; Giorgos Stamou; Andreas Stafylopatis (Knowl. Inf. Syst., 2021)

Sign boundary and hand articulation feature recognition in Sign Language videos. - Ioannis Koulierakis; Georgios Siolas; Eleni Efthimiou; Stavroula-Evita Fotinea; Andreas-Georgios Stafylopatis (Mach. Transl., 2021)

State similarity based Rapid Action Value Estimation for general game playing MCTS agents. - Tasos Papagiannis; Georgios Alexandridis; Andreas Stafylopatis (FDG, 2022)

Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks. - Laurent Pantera; Petr Stulík; Antoni Vidal-Ferràndiz; Amanda Carreño; Damián Ginestar; George Ioannou; Thanos Tasakos; Georgios Alexandridis; Andreas Stafylopatis (Sensors, 2022)

Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model. - Eleanna Vali; Georgios Alexandridis; Andreas Stafylopatis (ICASSP Workshops, 2023)

The Issue of Baselines in Explainability Methods. - George Ioannou; Andreas Stafylopatis (ICDM (Workshops), 2023)

Online Batch Selection for Enhanced Generalization in Imbalanced Datasets. - George Ioannou; Georgios Alexandridis; Andreas Stafylopatis (Algorithms, 2023)

AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization. - George Ioannou; Thanos Tagaris; Andreas Stafylopatis (Neural Process. Lett., 2023)

Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns. - Theodore Tranos; Christos Spatharis; Konstantinos Blekas; Andreas-Giorgios Stafylopatis (Robotics, 2024)

Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach. - Panagiotis Kouris; Georgios Alexandridis; Andreas Stafylopatis (J. Big Data, 2024)