A. Stafylopatis

Andreas Stafylopatis, Spyros Vrettos, Christina Christakou, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

Deep neural architectures for prediction in healthcare

Andreas Stafylopatis, Stefanos Kollias, Dimitrios Kollias, 2017, Complex & Intelligent Systems.

Deep neural architectures for prediction in healthcare

S. Kollias, A. Stafylopatis, G. Tagaris, 2017, Complex & Intelligent Systems.

Mining Interesting Topics in Twitter Communities

Andreas Stafylopatis, Georgios Siolas, Eleni Vathi, 2015, ICCCI.

Hide-and-Seek: A Template for Explainable AI pdf

Andreas Stafylopatis, Thanos Tagaris, A. Stafylopatis, 2020, ArXiv.

Self-Organizing Hidden Markov Model Map (SOHMMM)

Andreas Stafylopatis, Christos Ferles, A. Stafylopatis, 2013, Neural Networks.

Definition and Adaptation of Weighted Fuzzy Logic Programs

Andreas Stafylopatis, Giorgos B. Stamou, Alexandros Chortaras, 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Connectionist weighted fuzzy logic programs

Andreas Stafylopatis, Giorgos B. Stamou, Alexandros Chortaras, 2008, Neurocomputing.

DoSO: a document self-organizer

Andreas Stafylopatis, Georgios Siolas, Gerasimos Spanakis, 2012, Journal of Intelligent Information Systems.

Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization

Panagiotis Kouris, Andreas Stafylopatis, Georgios Alexandridis, 2019, ACL.

Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models

Andreas Stafylopatis, Georgios Siolas, Georgios Alexandridis, 2017, Data Mining and Knowledge Discovery.

Multi-dimensional Raycasting for Fuzzy Pattern Classication

Andreas Stafylopatis, Aris Lanaridis, A. Stafylopatis, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

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

Andreas Stafylopatis, Stefanos D. Kollias, Aggeliki Vlachostergiou, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data

Andreas Stafylopatis, Thanos Tagaris, Maria Sdraka, 2019, VISIGRAPP.

A transformer-based approach to irony and sarcasm detection

Georgios Siolas, Rolandos Alexandros Potamias, Andreas - Georgios Stafylopatis, 2019, Neural Computing and Applications.

Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2018, Int. J. Artif. Intell. Tools.

Adaptation and contextualization of deep neural network models

Andreas Stafylopatis, Stefanos D. Kollias, Dimitrios Kollias, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Assessment of Parkinson's Disease Based on Deep Neural Networks

Andreas Stafylopatis, Dimitrios Kollias, Athanasios Tagaris, 2017, EANN.

On line emotion detection using retrainable deep neural networks

Andreas Stafylopatis, Dimitrios Kollias, Athanasios Tagaris, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction

Andreas Stafylopatis, George Marandianos, Amaryllis Raouzaiou, 2015, 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP).

Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection

Andreas Stafylopatis, Vasileios Karakasis, V. Karakasis, 2008, IEEE Transactions on Evolutionary Computation.

Clonal Selection-Based Neural Classifier

Andreas Stafylopatis, Vasileios Karakasis, Aris Lanaridis, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Data Mining based on Gene Expression Programming and Clonal Selection

Andreas Stafylopatis, Vasileios Karakasis, V. Karakasis, 2006, 2006 IEEE International Conference on Evolutionary Computation.

A neural network endowed with symbolic processing ability

Andreas Stafylopatis, Dimitrios Vogiatzis, D. Vogiatzis, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A Movie Recommender System Based on Semi-supervised Clustering

Andreas Stafylopatis, Spyros Vrettos, Leonidas Lefakis, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

A Review of Decision Support Systems in Telecare

Andreas Stafylopatis, George Papadopoulos, Tasos Falas, 2003, Journal of Medical Systems.

High-Resolution Class Activation Mapping

Andreas Stafylopatis, Thanos Tagaris, Maria Sdraka, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments

Andreas Stafylopatis, Stefanos D. Kollias, Phivos Mylonas, 2013, 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization.

Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens

Andreas Stafylopatis, Stefanos D. Kollias, Phivos Mylonas, 2013, EANN.

Dynamic modular fuzzy neural classifier with tree-based structure identification

Andreas Stafylopatis, Minas Pertselakis, A. Stafylopatis, 2008, Neurocomputing.

A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation

Christos Pateritsas, Andreas Stafylopatis, A. Stafylopatis, 2006, ICANN.

Independent Nearest Features Memory-Based Classifier

Christos Pateritsas, Andreas Stafylopatis, A. Stafylopatis, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Integrated Query Answering with Weighted Fuzzy Rules

Andreas Stafylopatis, Giorgos B. Stamou, Alexandros Chortaras, 2007, ECSQARU.

Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs

Andreas Stafylopatis, Giorgos B. Stamou, Alexandros Chortaras, 2007, RR.

Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents

Andreas Stafylopatis, Georgios Siolas, Gerasimos Spanakis, 2012, Comput. J..

Improving Social Recommendations by applying a Personalized Item Clustering Policy

Andreas Stafylopatis, Georgios Siolas, Georgios Alexandridis, 2013, RSWeb@RecSys.

A multi-clustering fusion scheme for data partitioning

Christos Pateritsas, Andreas Stafylopatis, Dimitrios S. Frossyniotis, 2005, Int. J. Neural Syst..

A clustering method based on boosting

Andreas Stafylopatis, Aristidis Likas, Dimitrios S. Frossyniotis, 2004, Pattern Recognit. Lett..

A Multi-clustering Fusion Algorithm

Andreas Stafylopatis, Minas Pertselakis, Dimitrios S. Frossyniotis, 2002, SETN.

Semantic Question Answering Using Wikipedia Categories Clustering

Andreas Stafylopatis, Georgios Siolas, Georgios Stratogiannis, 2014, Int. J. Artif. Intell. Tools.

From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization

Andreas Stafylopatis, Georgios Alexandridis, Thanos Tagaris, 2019, WWW.

Predicting Parkinson’s Disease using Latent Information extracted from Deep Neural Networks

Andreas Stafylopatis, Stefanos D. Kollias, Ilianna Kollia, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adaptation of Weighted Fuzzy Programs

Andreas Stafylopatis, Giorgos B. Stamou, Alexandros Chortaras, 2006, ICANN.

SEMANTIC IMAGE ANALYSIS USING A SYMBOLIC NEURAL ARCHITECTURE

Stefanos Kollias, Andreas Stafylopatis, Ilianna Kollia, 2010 .

Connectionist Models for Formal Knowledge Adaptation

Andreas Stafylopatis, Giorgos B. Stamou, Nikos Simou, 2009, ICANN.

Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics

Andreas Stafylopatis, Stefanos D. Kollias, Giorgos B. Stamou, 2008, ICANN.

A Connectionist Model for Weighted Fuzzy Programs

Andreas Stafylopatis, Stefanos D. Kollias, Giorgos B. Stamou, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An efficient classification approach in imbalanced datasets for intrinsic plagiarism detection

Andreas Stafylopatis, Georgios Siolas, Andrianna Polydouri, 2018, Evol. Syst..

An artificial immune network for multiobjective optimization problems

Andreas Stafylopatis, Aris Lanaridis, A. Stafylopatis, 2014 .

Temporal differences learning with the conjugate gradient algorithm

T. Falas, Andreas Stafylopatis, A. Stafylopatis, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Classification of medical data with a robust multi-level combination scheme

K.S. Nikita, J. Stoitsis, S. Golemati, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

SCALED SELF-ORGANIZING MAP – HIDDEN MARKOV MODEL ARCHITECTURE FOR BIOLOGICAL SEQUENCE CLUSTERING

Andreas Stafylopatis, Christos Ferles, Georgios Siolas, 2013, Appl. Artif. Intell..

A Fuzzy Rule-Based Agent for Web Retrieval-Filtering

Andreas Stafylopatis, Spyros Vrettos, A. Stafylopatis, 2001, Web Intelligence.

DoSO: a document self-organizer

A. Stafylopatis, Georgios Siolas, Gerasimos Spanakis, 2012, Journal of Intelligent Information Systems.

Wireless Distributed Implementation of a Fuzzy Neural Classification System

Andreas Stafylopatis, Christos Ferles, Minas Pertselakis, 2005, Int. J. Artif. Intell. Tools.

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions

Panagiotis Kouris, Andreas Stafylopatis, Georgios Siolas, 2021, Knowledge and Information Systems.

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors

George Ioannou, Andreas Stafylopatis, Georgios Alexandridis, 2019, ICAAI.

PHYSOR 2020: Transition to a Scalable Nuclear Future Cambridge, United Kingdom, March 29th-April 2nd, 2020 INTELLIGENT TECHNIQUES FOR ANOMALY DETECTION IN NUCLEAR REACTORS

G. Ioannou, A. Stafylopatis, Georgios Alexandridis, 2020 .

Reinforcement learning for rule extraction from a labeled dataset

D. Vogiatzis, A. Stafylopatis, D. Vogiatzis, 2002, Cognitive Systems Research.

Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model

A. Stafylopatis, Georgios Alexandridis, Eleanna Vali, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

The RAPS Process Model: A framework for the identification and the management of risks against patient safety (RAPS)

Christos Pateritsas, Andreas Stafylopatis, Georgios Siolas, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Sequence clustering with the Self-Organizing Hidden Markov Model Map

Andreas Stafylopatis, Christos Ferles, A. Stafylopatis, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

A Hybrid Self-Organizing Model for Sequence Analysis

Andreas Stafylopatis, Christos Ferles, A. Stafylopatis, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

A Meta-classifier Approach for Medical Diagnosis

Konstantina S. Nikita, Andreas Stafylopatis, Dimitrios S. Frossyniotis, 2004, SETN.

A biased random walk recommender based on Rejection Sampling

Andreas Stafylopatis, Georgios Siolas, Georgios Alexandridis, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Applying k-Separability to Collaborative Recommender Systems

Andreas Stafylopatis, Georgios Siolas, Georgios Alexandridis, 2012, Int. J. Artif. Intell. Tools.

Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach

Andreas Stafylopatis, Georgios Siolas, Georgios Alexandridis, 2015, Recommendation and Search in Social Networks.

A Rule Based Machine Translation Scheme from Greek to Greek Sign Language: Production of Different Types of Large Corporations

Andreas Stafylopatis, Klimis Ntalianis, Dimitrios Kouremenos, 2018 .

Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation

Andreas Stafylopatis, Dimitris Kouremenos, Klimis S. Ntalianis, 2018, CIMA@ICTAI.