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ORCIDAndreas Stafylopatis
Andreas-Georgios Stafylopatis – Andreas-Giorgios Stafylopatis
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2020 – today
- 2024
[j57]Panagiotis Kouris
, Georgios Alexandridis, Andreas Stafylopatis:
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach. J. Big Data 11(1): 95 (2024)- [j56]Theodore Tranos, Christos Spatharis, Konstantinos Blekas, Andreas-Giorgios Stafylopatis:
Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns. Robotics 13(7): 109 (2024) - 2023
- [j55]George Ioannou, Georgios Alexandridis, Andreas Stafylopatis:
Online Batch Selection for Enhanced Generalization in Imbalanced Datasets. Algorithms 16(2): 65 (2023) - [j54]George Ioannou, Thanos Tagaris, Andreas Stafylopatis:
AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization. Neural Process. Lett. 55(5): 6311-6338 (2023) - [c84]Eleanna Vali, Georgios Alexandridis, Andreas Stafylopatis:
Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model. ICASSP Workshops 2023: 1-5 - [c83]George Ioannou, Andreas Stafylopatis:
The Issue of Baselines in Explainability Methods. ICDM (Workshops) 2023: 958-965 - 2022
- [j53]Laurent Pantera, Petr Stulík, Antoni Vidal-Ferràndiz, Amanda Carreño, Damián Ginestar, George Ioannou, Thanos Tasakos, Georgios Alexandridis, Andreas Stafylopatis:
Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks. Sensors 22(1): 113 (2022) - [c82]Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis:
State similarity based Rapid Action Value Estimation for general game playing MCTS agents. FDG 2022: 59:1-59:4 - 2021
- [j52]Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis:
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization. Comput. Linguistics 47(4): 813-859 (2021) - [j51]Georgios Stratogiannis, Panagiotis Kouris, Georgios Alexandridis, Georgios Siolas, Giorgos Stamou, Andreas Stafylopatis:
Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions. Knowl. Inf. Syst. 63(11): 3001-3039 (2021) - [j50]Ioannis Koulierakis, Georgios Siolas, Eleni Efthimiou, Stavroula-Evita Fotinea, Andreas-Georgios Stafylopatis:
Sign boundary and hand articulation feature recognition in Sign Language videos. Mach. Transl. 35(3): 323-343 (2021) - [c81]George Ioannou, Tasos Papagiannis, Thanos Tagaris, Georgios Alexandridis, Andreas Stafylopatis:
Visual interpretability analysis of Deep CNNs using an Adaptive Threshold method on Diabetic Retinopathy images. ICCVW 2021: 480-486 - [i5]Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis:
A Robust Deep Ensemble Classifier for Figurative Language Detection. CoRR abs/2107.04372 (2021) - 2020
- [j49]Panagiotis Kouris, Iraklis Varlamis, Georgios Alexandridis, Andreas Stafylopatis:
A versatile package recommendation framework aiming at preference score maximization. Evol. Syst. 11(3): 423-441 (2020) - [j48]Andrianna Polydouri, Eleni Vathi, Georgios Siolas, Andreas Stafylopatis:
An efficient classification approach in imbalanced datasets for intrinsic plagiarism detection. Evol. Syst. 11(3): 503-515 (2020) - [j47]Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis:
A transformer-based approach to irony and sarcasm detection. Neural Comput. Appl. 32(23): 17309-17320 (2020) - [c80]Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis:
Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone. ICMLA 2020: 157-162 - [i4]Thanos Tagaris, Andreas Stafylopatis:
Hide-and-Seek: A Template for Explainable AI. CoRR abs/2005.00130 (2020)
2010 – 2019
- 2019
- [c79]Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis:
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization. ACL (1) 2019: 5082-5092 - [c78]Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis:
A Robust Deep Ensemble Classifier for Figurative Language Detection. EANN 2019: 164-175 - [c77]Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis:
GAMER: A Genetic Algorithm with Motion Encoding Reuse for Action-Adventure Video Games. EvoApplications 2019: 156-171 - [c76]George Ioannou, Thanos Tagaris, Andreas Stafylopatis:
Improving the Convergence Speed of Deep Neural Networks with Biased Sampling. ICAAI 2019: 35-41 - [c75]Thanos Tagaris, George Ioannou, Maria Sdraka, Georgios Alexandridis, Andreas Stafylopatis:
Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors. ICAAI 2019: 237-243 - [c74]Thanos Tagaris, Maria Sdraka, Andreas Stafylopatis:
High-Resolution Class Activation Mapping. ICIP 2019: 4514-4518 - [c73]Ilianna Kollia, Andreas-Georgios Stafylopatis, Stefanos D. Kollias:
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. IJCNN 2019: 1-8 - [c72]Filippos Konidaris, Thanos Tagaris, Maria Sdraka, Andreas Stafylopatis:
Generative Adversarial Networks as an Advanced Data Augmentation Technique for MRI Data. VISIGRAPP (5: VISAPP) 2019: 48-59 - [c71]Georgios Alexandridis, Thanos Tagaris, Giorgos Siolas, Andreas Stafylopatis:
From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization. WWW (Companion Volume) 2019: 335-343 - [i3]Ilianna Kollia, Andreas-Georgios Stafylopatis, Stefanos D. Kollias:
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks. CoRR abs/1901.07822 (2019) - [i2]Rolandos Alexandros Potamias, Georgios Siolas, Andreas-Georgios Stafylopatis:
A Transformer-based approach to Irony and Sarcasm detection. CoRR abs/1911.10401 (2019) - 2018
- [j46]Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis:
Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level. Algorithms 11(10): 164 (2018) - [j45]Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis, Georgios L. Tagaris, Stefanos D. Kollias:
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset. Int. J. Artif. Intell. Tools 27(3): 1850011:1-1850011:28 (2018) - [c70]Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias:
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 2018: 2047-2051 - [c69]Aggeliki Vlachostergiou, Athanasios Tagaris, Andreas Stafylopatis, Stefanos D. Kollias:
Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information. ICIP 2018: 2052-2056 - [c68]Dimitris Kouremenos, Klimis S. Ntalianis, Giorgos Siolas, Andreas Stafylopatis:
Statistical Machine Translation for Greek to Greek Sign Language Using Parallel Corpora Produced via Rule-Based Machine Translation. CIMA@ICTAI 2018: 28-42 - [c67]Nikolaos Dervenis, Georgios Alexandridis, Andreas Stafylopatis:
Neural Network Specialists for Inverse Spiral Inductor Design. ICTAI 2018: 60-64 - 2017
- [j44]Aris Lanaridis, Giorgos Siolas, Andreas Stafylopatis:
Artificial Immune Classifier Based on ELLipsoidal Regions (AICELL) †. Comput. 5(2): 31 (2017) - [j43]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models. Data Min. Knowl. Discov. 31(4): 1031-1059 (2017) - [j42]Eleni Vathi, Georgios Siolas, Andreas Stafylopatis:
Mining and categorizing interesting topics in Twitter communities. J. Intell. Fuzzy Syst. 32(2): 1265-1275 (2017) - [c66]Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis:
Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning. EANN 2017: 99-110 - [c65]Athanasios Tagaris, Dimitrios Kollias, Andreas Stafylopatis:
Assessment of Parkinson's Disease Based on Deep Neural Networks. EANN 2017: 391-403 - [c64]Dimitrios Kollias, Miao Yu, Athanasios Tagaris, Georgios Leontidis, Andreas Stafylopatis, Stefanos D. Kollias:
Adaptation and contextualization of deep neural network models. SSCI 2017: 1-8 - [i1]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
ParVecMF: A Paragraph Vector-based Matrix Factorization Recommender System. CoRR abs/1706.07513 (2017) - 2016
- [c63]Dimitrios Kollias, Athanasios Tagaris, Andreas Stafylopatis:
On line emotion detection using retrainable deep neural networks. SSCI 2016: 1-8 - [c62]Dimitrios Koutsoukos, Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
A new approach to session identification by applying fuzzy c-means clustering on web logs. SSCI 2016: 1-8 - 2015
- [j41]Giorgos Siolas, George Caridakis, Phivos Mylonas, Georgios Stratogiannis, Stefanos D. Kollias, Andreas Stafylopatis:
Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments. Int. J. Virtual Communities Soc. Netw. 7(3): 17-50 (2015) - [c61]Eleni Vathi, Georgios Siolas, Andreas Stafylopatis:
Mining Interesting Topics in Twitter Communities. ICCCI (1) 2015: 123-132 - [c60]Georgios Stratogiannis, Georgios Siolas, Georgios Stamou, Andreas Stafylopatis, Alexandros Chortaras, Athanasios Tagaris:
Advancing the Terminological Classification of Semi-structured Documents. ICTAI 2015: 333-339 - [c59]Dimitris Kollias, George Marandianos, Amaryllis Raouzaiou, Andreas-Georgios Stafylopatis:
Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction. SMAP 2015: 1-6 - [c58]Georgios Stratogiannis, Aggeliki Vlachostergiou, Georgios Siolas, George Caridakis, Phivos Mylonas, Andreas Stafylopatis, Stefanos D. Kollias:
User and home appliances pervasive interaction in a sensor driven smart home environment: The SandS approach. SMAP 2015: 1-6 - [p1]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach. Recommendation and Search in Social Networks 2015: 41-57 - 2014
- [j40]Georgios Stratogiannis, Georgios Siolas, Andreas Stafylopatis:
Semantic Question Answering Using Wikipedia Categories Clustering. Int. J. Artif. Intell. Tools 23(4) (2014) - 2013
- [j39]Christos Ferles, Georgios Siolas, Andreas Stafylopatis:
Scaled Self-Organizing Map - Hidden Markov Model Architecture for Biological sequence Clustering. Appl. Artif. Intell. 27(6): 461-495 (2013) - [j38]Christos Ferles, Andreas Stafylopatis:
Self-Organizing Hidden Markov Model Map (SOHMMM). Neural Networks 48: 133-147 (2013) - [c57]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
A biased random walk recommender based on rejection sampling. ASONAM 2013: 648-652 - [c56]George Caridakis, Georgios Siolas, Phivos Mylonas, Stefanos D. Kollias, Andreas Stafylopatis:
Intelligent and Adaptive Pervasive Future Internet: Smart Cities for the Citizens. EANN (2) 2013: 269-281 - [c55]Georgios Stratogiannis, Georgios Siolas, Andreas Stafylopatis:
Related Entity Finding Using Semantic Clustering Based on Wikipedia Categories. IIS 2013: 157-170 - [c54]Phivos Mylonas, Georgios Siolas, George Caridakis, Stefanos D. Kollias, Andreas-Georgios Stafylopatis:
Modeling context and fuzzy personas towards an intelligent Future Internet smart home paradigm. Intelligent Environments (Workshops) 2013: 732-743 - [c53]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Improving Social Recommendations by applying a Personalized Item Clustering Policy. RSWeb@RecSys 2013 - [c52]Giorgos Siolas, George Caridakis, Phivos Mylonas, Stefanos D. Kollias, Andreas Stafylopatis:
Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments. SMAP 2013: 27-32 - 2012
- [j37]Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis:
Exploiting Wikipedia Knowledge for Conceptual Hierarchical Clustering of Documents. Comput. J. 55(3): 299-312 (2012) - [j36]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Applying k-Separability to Collaborative Recommender Systems. Int. J. Artif. Intell. Tools 21(1) (2012) - [j35]Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis:
DoSO: a document self-organizer. J. Intell. Inf. Syst. 39(3): 577-610 (2012) - [j34]Ilianna Kollia, Yannis Kalantidis, Kostas Rapantzikos, Andreas Stafylopatis:
Improving Semantic Search in Digital Libraries Using Multimedia Analysis. J. Multim. 7(2): 193-204 (2012) - [c51]Ilianna Kollia, Kostas Rapantzikos, Giorgos B. Stamou, Andreas Stafylopatis:
Semantic Query Answering in Digital Libraries. SETN 2012: 17-24 - 2011
- [c50]Aris Lanaridis, Andreas Stafylopatis:
An Artificial Immune Classifier Using Pseudo-Ellipsoid Rules. ISCIS 2011: 395-401 - [c49]Christos Ferles, Georgios Siolas, Andreas Stafylopatis:
Scaled On-line Unsupervised Learning Algorithm for a SOM-HMM Hybrid. ISCIS 2011: 533-537 - 2010
- [c48]Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
An Efficient Collaborative Recommender System Based on k-Separability. ICANN (3) 2010: 198-207 - [c47]Aris Lanaridis, Andreas Stafylopatis:
An Artificial Immune Network for Multi-objective Optimization. ICANN (2) 2010: 531-536 - [c46]Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis:
Conceptual Hierarchical Clustering of Documents using Wikipedia knowledge. ISCIS 2010: 121-126
2000 – 2009
- 2009
- [j33]Apostolos Marakakis, Nikolaos Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models. IET Image Process. 3(1): 10-25 (2009) - [j32]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Definition and Adaptation of Weighted Fuzzy Logic Programs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(1): 85-135 (2009) - [c45]Ilianna Kollia, Nikos Simou, Giorgos B. Stamou, Andreas Stafylopatis:
Connectionist Models for Formal Knowledge Adaptation. ICANN (2) 2009: 465-474 - [c44]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) 2009: 942-951 - [c43]Gerasimos Spanakis, Georgios Siolas, Andreas Stafylopatis:
A Hybrid Web-Based Measure for Computing Semantic Relatedness Between Words. ICTAI 2009: 441-448 - [c42]Aris Lanaridis, Andreas Stafylopatis:
Multi-dimensional Raycasting for Fuzzy Pattern Classication. ICTAI 2009: 742-749 - [c41]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. AIAI 2009: 249-258 - [c40]Minas Pertselakis, Natali Raouzaiou, Andreas Stafylopatis:
An Adaptive Resource Allocating Neuro-Fuzzy Inference System with Sensitivity Analysis Resource Control. AIAI 2009: 509-516 - 2008
- [j31]Minas Pertselakis, Andreas Stafylopatis:
Dynamic modular fuzzy neural classifier with tree-based structure identification. Neurocomputing 71(4-6): 801-812 (2008) - [j30]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch:
International Conference on Artificial Neural Networks (ICANN 2006). Neurocomputing 71(13-15): 2409-2410 (2008) - [j29]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Connectionist weighted fuzzy logic programs. Neurocomputing 71(13-15): 2456-2469 (2008) - [j28]Vasileios Karakasis, Andreas Stafylopatis:
Efficient Evolution of Accurate Classification Rules Using a Combination of Gene Expression Programming and Clonal Selection. IEEE Trans. Evol. Comput. 12(6): 662-678 (2008) - [c39]Christos Ferles, Andreas Stafylopatis:
Sequence clustering with the Self-Organizing Hidden Markov Model Map. BIBE 2008: 1-7 - [c38]Aris Lanaridis, Vasileios Karakasis, Andreas Stafylopatis:
Clonal Selection-Based Neural Classifier. HIS 2008: 655-660 - [c37]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics. ICANN (1) 2008: 492-502 - [c36]Nikos Simou, Thanos Athanasiadis, Stefanos D. Kollias, Giorgos B. Stamou, Andreas Stafylopatis:
Semantic Adaptation of Neural Network Classifiers in Image Segmentation. ICANN (1) 2008: 907-916 - [c35]George Caridakis, Kostas Karpouzis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias:
Hand trajectory based gesture recognition using self-organizing feature maps and markov models. ICME 2008: 1105-1108 - [c34]Christos Ferles, Andreas Stafylopatis:
A Hybrid Self-Organizing Model for Sequence Analysis. ICTAI (2) 2008: 105-112 - [c33]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. ICTAI (1) 2008: 141-148 - 2007
- [j27]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch:
Introduction. Integr. Comput. Aided Eng. 14(4): 281 (2007) - [j26]Christina Christakou, Spyros Vrettos, Andreas Stafylopatis:
A Hybrid Movie Recommender System Based on Neural Networks. Int. J. Artif. Intell. Tools 16(5): 771-792 (2007) - [j25]Christos Pateritsas, Andreas Stafylopatis:
Memory-Based Classification with Dynamic Feature Selection Using Self-Organizing Maps for Pattern Evaluation. Int. J. Artif. Intell. Tools 16(5): 875-899 (2007) - [c32]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Integrated Query Answering with Weighted Fuzzy Rules. ECSQARU 2007: 767-778 - [c31]George Caridakis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias:
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps. ICANN (2) 2007: 261-270 - [c30]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Top-Down Computation of the Semantics of Weighted Fuzzy Logic Programs. RR 2007: 364-366 - 2006
- [c29]Vasileios Karakasis, Andreas Stafylopatis:
Data Mining based on Gene Expression Programming and Clonal Selection. IEEE Congress on Evolutionary Computation 2006: 514-521 - [c28]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Adaptation of Weighted Fuzzy Programs. ICANN (2) 2006: 45-54 - [c27]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. ICANN (2) 2006: 84-93 - [c26]Christos Pateritsas, Andreas Stafylopatis:
A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation. ICANN (2) 2006: 391-400 - [c25]Minas Pertselakis, Andreas Stafylopatis:
Exploiting Decision Trees in Product-based Fuzzy Neural Modeling to Generate Rules with Dynamically Reduced Dimensionality. AIAI 2006: 19-26 - [c24]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
A Connectionist Model for Weighted Fuzzy Programs. IJCNN 2006: 3055-3062 - [e2]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja:
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4131, Springer 2006, ISBN 3-540-38625-4 [contents] - [e1]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja:
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4132, Springer 2006, ISBN 3-540-38871-0 [contents] - 2005
- [j24]Minas Pertselakis, Christos Ferles, Kostas Tsiolis, Andreas Stafylopatis:
Wireless Distributed Implementation of a Fuzzy Neural Classification System. Int. J. Artif. Intell. Tools 14(4): 661-682 (2005) - [j23]Dimitrios S. Frossyniotis, Christos Pateritsas, Andreas Stafylopatis:
A multi-clustering fusion scheme for data partitioning. Int. J. Neural Syst. 15(5): 391-401 (2005) - [j22]Tasos Falas, Andreas Stafylopatis:
Implementing Temporal-Difference Learning with the Scaled Conjugate Gradient Algorithm. Neural Process. Lett. 22(3): 361-375 (2005) - [c23]Minas Pertselakis, Andreas Stafylopatis:
Dynamic Rule Structuring based on Rule-Activation Sensitivity Analysis. CIMCA/IAWTIC 2005: 365-370 - [c22]Christos Pateritsas, Andreas Stafylopatis:
Independent Nearest Features Memory-Based Classifier. CIMCA/IAWTIC 2005: 781-786 - [c21]Christina Christakou, Leonidas Lefakis, Spyros Vrettos, Andreas Stafylopatis:
A Movie Recommender System Based on Semi-supervised Clustering. CIMCA/IAWTIC 2005: 897-903 - [c20]Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Learning Ontology Alignments Using Recursive Neural Networks. ICANN (2) 2005: 811-816 - [c19]Christina Christakou, Andreas Stafylopatis:
A Hybrid Movie Recommender System Based on Neural Networks. ISDA 2005: 500-505 - 2004
- [j21]Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis:
A clustering method based on boosting. Pattern Recognit. Lett. 25(6): 641-654 (2004) - [c18]George L. Tsirogiannis, Dimitrios S. Frossyniotis, Konstantina S. Nikita, Andreas Stafylopatis:
A Meta-classifier Approach for Medical Diagnosis. SETN 2004: 154-163 - [c17]Christos Pateritsas, Minas Pertselakis, Andreas Stafylopatis:
A SOM-based classifier with enhanced structure learning. SMC (5) 2004: 4832-4837 - 2003
- [j20]Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas:
A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003) - [c16]Minas Pertselakis, Dimitrios S. Frossyniotis, Andreas Stafylopatis:
An Adaptable Gaussian Neuro-Fuzzy Classifier. ICANN 2003: 925-932 - [c15]Stelios Kouremenos, Spyros Vrettos, Andreas Stafylopatis:
An Intelligent Agent-Mediated Web Trading Environment. Web Intelligence 2003: 436-441 - 2002
- [j19]Dimitrios Vogiatzis, Andreas Stafylopatis:
Reinforcement learning for rule extraction from a labeled dataset. Cogn. Syst. Res. 3(2): 237-253 (2002) - [c14]Dimitrios Vogiatzis, Andreas Stafylopatis:
Mapping the Growing Neural Gas to Situation Calculus. ICANN 2002: 957-962 - [c13]Dimitrios S. Frossyniotis, Minas Pertselakis, Andreas Stafylopatis:
A Multi-clustering Fusion Algorithm. SETN 2002: 225-236 - 2001
- [c12]Dimitrios S. Frossyniotis, Andreas Stafylopatis:
A Multi-SVM Classification System. Multiple Classifier Systems 2001: 198-207 - [c11]Spyros Vrettos, Andreas Stafylopatis:
A Fuzzy Rule-Based Agent for Web Retrieval-Filtering. Web Intelligence 2001: 448-453 - 2000
- [j18]Aristidis Likas, Andreas Stafylopatis:
Training the random neural network using quasi-Newton methods. Eur. J. Oper. Res. 126(2): 331-339 (2000)
1990 – 1999
- 1999
- [c10]Tasos Falas, Andreas-Georgios Stafylopatis:
The impact of the error function selection in neural network-based classifiers. IJCNN 1999: 1799-1804 - [c9]Dimitrios Vogiatzis, Andreas Stafylopatis:
A neural network endowed with symbolic processing ability. IJCNN 1999: 4054-4058 - 1998
- [j17]Wenceslas Fernandez de la Vega, Vangelis Th. Paschos, Andreas Stafylopatis:
Average-Case Complexity for the Execution of Recursive Definitions on Relational Databases. Acta Informatica 35(3): 211-243 (1998) - [j16]George Papageorgiou, Aristidis Likas, Andreas Stafylopatis:
Improved exploration in Hopfield network state-space through parameter perturbation driven by simulated annealing. Eur. J. Oper. Res. 108(2): 283-292 (1998) - [j15]Andreas Stafylopatis, Konstantinos Blekas:
Autonomous vehicle navigation using evolutionary reinforcement learning. Eur. J. Oper. Res. 108(2): 306-318 (1998) - [j14]George Papageorgiou, Aristidis Likas, Andreas Stafylopatis:
A hybrid neural optimization scheme based on parallel updates. Int. J. Comput. Math. 67(1-2): 223-237 (1998) - [c8]Nikos A. Vlassis, Konstantinos Blekas, George K. Papakonstantinou, Andreas Stafylopatis:
A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities. EUSIPCO 1998: 1-4 - 1997
- [j13]Aristidis Likas, George Papageorgiou, Andreas Stafylopatis:
A Connectionist Approach for Solving Large Constraint Satisfaction Problems. Appl. Intell. 7(3): 215-225 (1997) - [c7]Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis:
A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330 - 1996
- [j12]Aristidis Likas, Andreas Stafylopatis:
High Capacity Associative Memory Based on The Random Neural Network Model. Int. J. Pattern Recognit. Artif. Intell. 10(8): 919-937 (1996) - [j11]Nikos G. Panagiotidis, Dimitris Kalogeras, Stefanos D. Kollias, Andreas Stafylopatis:
Neural network-assisted effective lossy compression of medical images. Proc. IEEE 84(10): 1474-1487 (1996) - [j10]Aristidis Likas, Andreas Stafylopatis:
Group updates and multiscaling: an efficient neural network approach to combinatorial optimization. IEEE Trans. Syst. Man Cybern. Part B 26(2): 222-232 (1996) - 1995
- [j9]Aristidis Likas, Andreas Stafylopatis:
A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. Inf. Process. Lett. 53(4): 229-234 (1995) - [j8]D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis:
Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes. Neural Comput. Appl. 3(2): 101-112 (1995) - [j7]Aristidis Likas, George Papageorgiou, Andreas Stafylopatis:
A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates. Neural Parallel Sci. Comput. 3(4): 451-465 (1995) - [c6]Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis:
Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314 - 1993
- [j6]George K. Georgakopoulos, Andreas Stafylopatis:
An Approach to Parallel Algorithm Design. RAIRO Theor. Informatics Appl. 27(2): 85-95 (1993) - [j5]Foto N. Afrati, Andreas Stafylopatis:
Performance Considerations on a Random Graph Model for Parallel Processing. RAIRO Theor. Informatics Appl. 27(4): 367-388 (1993) - [c5]D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis:
Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems. ESANN 1993 - 1992
- [j4]Vangelis Th. Paschos, Andreas Stafylopatis:
Evaluation of the Execution Cost of Recursive Definitions. Comput. J. 35(Additional-Papers): A429-A437 (1992) - [j3]Andreas Stafylopatis, I. Papakonstantinou, Stefanos Kaxiras:
PSM: software tool for simulating, prototyping, and monitoring of multiprocessor systems. Inf. Softw. Technol. 34(5): 313-325 (1992) - [j2]Andreas Stafylopatis, Aristidis Likas:
Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. 18(7): 590-600 (1992) - [c4]D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis:
Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. ECAI 1992: 666-670
1980 – 1989
- 1987
- [c3]Andreas Stafylopatis, Athanasios Drigas:
On the Processing Time of a Parallel Linear System Solver. ICS 1987: 994-1010 - [c2]Andreas Stafylopatis, Marios D. Dikaiakos, D. Kontoravdis:
Spatial Organization of Neural Networks: A Probabilistic Modeling Approach. NIPS 1987: 740-749 - [c1]Andreas Stafylopatis, Erol Gelenbe:
Delay Analysis of Resequencing Systems with Partial Ordering. Performance 1987: 433-445 - 1982
- [j1]Erol Gelenbe, Alain Lichnewsky, Andreas Stafylopatis:
Experience with the Parallel Solutions of Partial Differential Equations on a Distributed Computing System. IEEE Trans. Computers 31(12): 1157-1164 (1982)
Coauthor Index
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