Andreas Stafylopatis

According to our database1, Andreas Stafylopatis authored at least 143 papers between 1982 and 2024.

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Bibliography

2024
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach.
J. Big Data, December, 2024

Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns.
Robotics, July, 2024

2023
AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization.
Neural Process. Lett., October, 2023

Online Batch Selection for Enhanced Generalization in Imbalanced Datasets.
Algorithms, February, 2023

The Issue of Baselines in Explainability Methods.
Proceedings of the IEEE International Conference on Data Mining, 2023

Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks.
Sensors, 2022

State similarity based Rapid Action Value Estimation for general game playing MCTS agents.
Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

2021
Sign boundary and hand articulation feature recognition in Sign Language videos.
Mach. Transl., 2021

Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions.
Knowl. Inf. Syst., 2021

Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization.
Comput. Linguistics, 2021

Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
A transformer-based approach to irony and sarcasm detection.
Neural Comput. Appl., 2020

An efficient classification approach in imbalanced datasets for intrinsic plagiarism detection.
Evol. Syst., 2020

A versatile package recommendation framework aiming at preference score maximization.
Evol. Syst., 2020

Hide-and-Seek: A Template for Explainable AI.
CoRR, 2020

Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

High-Resolution Class Activation Mapping.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

Improving the Convergence Speed of Deep Neural Networks with Biased Sampling.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

GAMER: A Genetic Algorithm with Motion Encoding Reuse for Action-Adventure Video Games.
Proceedings of the Applications of Evolutionary Computation, 2019

A Robust Deep Ensemble Classifier for Figurative Language Detection.
Proceedings of the Engineering Applications of Neural Networks, 2019

Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset.
Int. J. Artif. Intell. Tools, 2018

Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level.
Algorithms, 2018

Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation.
Proceedings of the 8th International Workshop on Combinations of Intelligent Methods and Applications co-located with 30th International Conference on Artificial Intelligence Tools (ICTAI 2018), 2018

Neural Network Specialists for Inverse Spiral Inductor Design.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Mining and categorizing interesting topics in Twitter communities.
J. Intell. Fuzzy Syst., 2017

Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models.
Data Min. Knowl. Discov., 2017

Artificial Immune Classifier Based on ELLipsoidal Regions (AICELL) <sup>†</sup>.
Comput., 2017

Adaptation and contextualization of deep neural network models.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Assessment of Parkinson's Disease Based on Deep Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2017

Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
A new approach to session identification by applying fuzzy c-means clustering on web logs.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On line emotion detection using retrainable deep neural networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach.
Proceedings of the Recommendation and Search in Social Networks, 2015

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments.
Int. J. Virtual Communities Soc. Netw., 2015

User and home appliances pervasive interaction in a sensor driven smart home environment: The SandS approach.
Proceedings of the 10th International Workshop on Semantic and Social Media Adaptation and Personalization, 2015

Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction.
Proceedings of the 10th International Workshop on Semantic and Social Media Adaptation and Personalization, 2015

Advancing the Terminological Classification of Semi-structured Documents.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Mining Interesting Topics in Twitter Communities.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

2014
Semantic Question Answering Using Wikipedia Categories Clustering.
Int. J. Artif. Intell. Tools, 2014

2013
Self-Organizing Hidden Markov Model Map (SOHMMM).
Neural Networks, 2013

Scaled Self-Organizing Map - Hidden Markov Model Architecture for Biological sequence Clustering.
Appl. Artif. Intell., 2013

Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments.
Proceedings of the 8th International Workshop on Semantic and Social Media Adaptation and Personalization, 2013

Improving Social Recommendations by applying a Personalized Item Clustering Policy.
Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Modeling context and fuzzy personas towards an intelligent Future Internet smart home paradigm.
Proceedings of the Workshop Proceedings of the 9th International Conference on Intelligent Environments, 2013

Related Entity Finding Using Semantic Clustering Based on Wikipedia Categories.
Proceedings of the Language Processing and Intelligent Information Systems, 2013

Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens.
Proceedings of the Engineering Applications of Neural Networks, 2013

A biased random walk recommender based on rejection sampling.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Improving Semantic Search in Digital Libraries Using Multimedia Analysis.
J. Multim., 2012

DoSO: a document self-organizer.
J. Intell. Inf. Syst., 2012

Applying k-Separability to Collaborative Recommender Systems.
Int. J. Artif. Intell. Tools, 2012

Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents.
Comput. J., 2012

Semantic Query Answering in Digital Libraries.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

2011
An Artificial Immune Classifier Using Pseudo-Ellipsoid Rules.
Proceedings of the Computer and Information Sciences II, 2011

Scaled On-line Unsupervised Learning Algorithm for a SOM-HMM Hybrid.
Proceedings of the Computer and Information Sciences II, 2011

2010
Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge.
Proceedings of the Computer and Information Sciences, 2010

An Artificial Immune Network for Multi-objective Optimization.
Proceedings of the Artificial Neural Networks, 2010

An Efficient Collaborative Recommender System Based on <i>k</i>-Separability.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Definition and Adaptation of Weighted Fuzzy Logic Programs.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models.
IET Image Process., 2009

An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words.
Proceedings of the ICTAI 2009, 2009

Multi-dimensional Raycasting for Fuzzy Pattern Classication.
Proceedings of the ICTAI 2009, 2009

Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection.
Proceedings of the Artificial Neural Networks, 2009

Connectionist Models for Formal Knowledge Adaptation.
Proceedings of the Artificial Neural Networks, 2009

2008
Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection.
IEEE Trans. Evol. Comput., 2008

Dynamic modular fuzzy neural classifier with tree-based structure identification.
Neurocomputing, 2008

International Conference on Artificial Neural Networks (ICANN 2006).
Neurocomputing, 2008

Connectionist weighted fuzzy logic programs.
Neurocomputing, 2008

Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

A Hybrid Self-Organizing Model for Sequence Analysis.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Hand trajectory based gesture recognition using self-organizing feature maps and markov models.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Semantic Adaptation of Neural Network Classifiers in Image Segmentation.
Proceedings of the Artificial Neural Networks, 2008

Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics.
Proceedings of the Artificial Neural Networks, 2008

Clonal Selection-Based Neural Classifier.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Sequence clustering with the Self-Organizing Hidden Markov Model Map.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Memory-Based Classification with Dynamic Feature Selection Using Self-Organizing Maps for Pattern Evaluation.
Int. J. Artif. Intell. Tools, 2007

A Hybrid Movie Recommender System Based on Neural Networks.
Int. J. Artif. Intell. Tools, 2007

Introduction.
Integr. Comput. Aided Eng., 2007

Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs.
Proceedings of the Web Reasoning and Rule Systems, First International Conference, 2007

Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps.
Proceedings of the Artificial Neural Networks, 2007

Integrated Query Answering with Weighted Fuzzy Rules.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
A Connectionist Model for Weighted Fuzzy Programs.
Proceedings of the International Joint Conference on Neural Networks, 2006

Exploiting Decision Trees in Product-based Fuzzy Neural Modeling to Generate Rules with Dynamically Reduced Dimensionality.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation.
Proceedings of the Artificial Neural Networks, 2006

A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models.
Proceedings of the Artificial Neural Networks, 2006

Adaptation of Weighted Fuzzy Programs.
Proceedings of the Artificial Neural Networks, 2006

Data Mining based on Gene Expression Programming and Clonal Selection.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm.
Neural Process. Lett., 2005

A multi-clustering fusion scheme for data partitioning.
Int. J. Neural Syst., 2005

Wireless Distributed Implementation of a Fuzzy Neural Classification System.
Int. J. Artif. Intell. Tools, 2005

A Hybrid Movie Recommender System Based on Neural Networks.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

Learning Ontology Alignments Using Recursive Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Dynamic Rule Structuring based on Rule-Activation Sensitivity Analysis.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Independent Nearest Features Memory-Based Classifier.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

A Movie Recommender System Based on Semi-supervised Clustering.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
A clustering method based on boosting.
Pattern Recognit. Lett., 2004

A SOM-based classifier with enhanced structure learning.
Proceedings of the IEEE International Conference on Systems, 2004

A Meta-classifier Approach for Medical Diagnosis.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

2003
A divide-and-conquer method for multi-net classifiers.
Pattern Anal. Appl., 2003

An Intelligent Agent-Mediated Web Trading Environment.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

An Adaptable Gaussian Neuro-Fuzzy Classifier.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Reinforcement learning for rule extraction from a labeled dataset.
Cogn. Syst. Res., 2002

A Multi-clustering Fusion Algorithm.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Mapping the Growing Neural Gas to Situation Calculus.
Proceedings of the Artificial Neural Networks, 2002

2001
A Fuzzy Rule-Based Agent for Web Retrieval-Filtering.
Proceedings of the Web Intelligence: Research and Development, 2001

A Multi-SVM Classification System.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Training the random neural network using quasi-Newton methods.
Eur. J. Oper. Res., 2000

1999
A neural network endowed with symbolic processing ability.
Proceedings of the International Joint Conference Neural Networks, 1999

The impact of the error function selection in neural network-based classifiers.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A hybrid neural optimization scheme based on parallel updates.
Int. J. Comput. Math., 1998

Autonomous vehicle navigation using evolutionary reinforcement learning.
Eur. J. Oper. Res., 1998

Improved exploration in Hopfield network state-space through parameter perturbation driven by simulated annealing.
Eur. J. Oper. Res., 1998

Average-Case Complexity for the Execution of Recursive Definitions on Relational Databases.
Acta Informatica, 1998

A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
A Connectionist Approach for Solving Large Constraint Satisfaction Problems.
Appl. Intell., 1997

A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1996
Group updates and multiscaling: an efficient neural network approach to combinatorial optimization.
IEEE Trans. Syst. Man Cybern. Part B, 1996

Neural network-assisted effective lossy compression of medical images.
Proc. IEEE, 1996

High Capacity Associative Memory Based on The Random Neural Network Model.
Int. J. Pattern Recognit. Artif. Intell., 1996

1995
A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates.
Neural Parallel Sci. Comput., 1995

Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes.
Neural Comput. Appl., 1995

A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem.
Inf. Process. Lett., 1995

Parallel Recombinative Reinforcement Learning (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

1993
An Approach to Parallel Algorithm Design.
RAIRO Theor. Informatics Appl., 1993

Performance Considerations on a Random Graph Model for Parallel Processing.
RAIRO Theor. Informatics Appl., 1993

Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems.
Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

1992
Pictorial Information Retrieval Using the Random Neural Network.
IEEE Trans. Software Eng., 1992

PSM: software tool for simulating, prototyping, and monitoring of multiprocessor systems.
Inf. Softw. Technol., 1992

Evaluation of the Execution Cost of Recursive Definitions.
Comput. J., 1992

Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1987
Delay Analysis of Resequencing Systems with Partial Ordering.
Proceedings of the Performance '87, 1987

Spatial Organization of Neural Networks: A Probabilistic Modeling Approach.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

On the Processing Time of a Parallel Linear System Solver.
Proceedings of the Supercomputing, 1987

1982
Experience with the Parallel Solutions of Partial Differential Equations on a Distributed Computing System.
IEEE Trans. Computers, 1982


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