Ioannis P. Vlahavas

233 papers A* 3A 8B 3C 9Misc 6Journal 111Unranked 84

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DACL+: domain-adapted contrastive learning for enhanced low-resource language representations in document clustering tasks. Neural Comput. Appl. Dimitrios Zaikis, Ioannis P. Vlahavas
2025	J	`jnl`	Generative point sampling strategies for physics-informed neural networks. Eng. Comput. Vasileios Kochliaridis, Ioannis Dilmperis, Achilleas Palaskos, Ioannis P. Vlahavas
2025	J	`jnl`	Markowitz random forest: Weighting classification and regression trees with modern portfolio theory. Neurocomputing Eleftherios Kouloumpris, Ioannis P. Vlahavas
2025	J	`jnl`	Personality Assessment System Using Artificial Intelligence in a Game Environment. IEEE Trans. Games Georgios Liapis, Ioannis P. Vlahavas
2025	—	`conf`	Scaling Multi-Frame Transformers for End-to-End Driving. ICAART (3) Vasileios Kochliaridis, Filippos Moumtzidellis, Ioannis P. Vlahavas
2025	J	`jnl`	TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction. IEEE J. Biomed. Health Informatics Dimitrios Zaikis, Ioannis P. Vlahavas
2024	J	`jnl`	Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. Int. J. Artif. Intell. Tools Eleftherios Kouloumpris, Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas
2024	—	`conf`	Machine Learning Methods for Emulating Personality Traits in a Gamified Environment. SETN Georgios Liapis, Anna Vordou, Ioannis P. Vlahavas
2024	—	`conf`	Optimizing Pretrained Transformers for Autonomous Driving. SETN Vasileios Kochliaridis, Evaggelos Kostinoudis, Ioannis P. Vlahavas
2024	—	`conf`	Predictive Maintenance Under Absence of Sensor Data. AIAI (2) Ioannis Pierros, Vasileios Kochliaridis, Eirini Apostolidou, Eleni Delimpasi, Vasileios Zygouris, Ioannis P. Vlahavas
2024	J	`jnl`	SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. Expert Syst. Appl. Eleftherios Kouloumpris, Konstantinos Moutsianas, Ioannis P. Vlahavas
2024	J	`jnl`	UNSURE - A machine learning approach to cryptocurrency trading. Appl. Intell. Vasilis Kochliaridis, Anastasia Papadopoulou, Ioannis P. Vlahavas
2024	—	`conf`	ViT ICPR (7) Vasileios Kochliaridis, Ioannis Pierros, Georgios Romanos, Ioannis P. Vlahavas
2023	—	`conf`	Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments. SemEval@ACL Dimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos, Ioannis P. Vlahavas
2023	C	`conf`	Classifying Intelligence Tests Patterns Using Machine Learning Methods. ICPRAM Georgios Liapis, Loukritira Stefanou, Ioannis P. Vlahavas
2023	J	`jnl`	Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. Neural Comput. Appl. Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
2023	C	`conf`	DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. EANN Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas
2023	—	`conf`	End-to-End Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages. IntelliSys (3) Georgios Aivatoglou, Alexia Fytili, Georgios Arampatzis, Dimitrios Zaikis, Nikolaos Stylianou, Ioannis P. Vlahavas
2023	J	`jnl`	From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning. IEEE Access Dimitrios Zaikis, Ioannis P. Vlahavas
2023	J	`jnl`	Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning. CoRR Vasileios Moschopoulos, Pantelis Kyriakidis, Aristotelis Lazaridis, Ioannis P. Vlahavas
2023	—	`conf`	Serious Escape Room Game for Personality Assessment. GALA George Liapis, Katerina Zacharia, Kejsi Rrasa, Ioannis P. Vlahavas
2023	—	`conf`	Towards a Systems Pharmacology Ontology: the use of state-machines paradigm. SWAT4HCLS Achilleas Chytas, Nick Bassiliades, Ioannis P. Vlahavas, Pantelis Natsiavas
2022	C	`conf`	AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold'em Poker Video Game. INISTA Aristotelis Lazaridis, Christos Perchanidis, Doxakis Chovardas, Ioannis P. Vlahavas
2022	—	`conf`	Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. ICANN (3) Ioannis Pierros, Ioannis P. Vlahavas
2022	J	`jnl`	REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents. Neurocomputing Aristotelis Lazaridis, Ioannis P. Vlahavas
2022	—	`conf`	Retail Demand Forecasting for 1 Million Products. ISDA (1) Ioannis P. Pierros, Eleftherios Kouloumpris, Dimitrios Zaikis, Ioannis P. Vlahavas
2022	J	`jnl`	Sector-level sentiment analysis with deep learning. Knowl. Based Syst. Ioannis Almalis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
2022	—	`conf`	Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
2022	—	`conf`	TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. AIAI (1) Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
2022	—	`conf`	Transforming Drug-Drug Interaction Extraction from Biomedical Literature. SETN Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas
2021	J	`jnl`	A neural Entity Coreference Resolution review. Expert Syst. Appl. Nikolaos Stylianou, Ioannis P. Vlahavas
2021	J	`jnl`	CoreLM: Coreference-aware Language Model Fine-Tuning. CoRR Nikolaos Stylianou, Ioannis P. Vlahavas
2021	Misc	`conf`	Improved Biomedical Entity Recognition via Longer Context Modeling. AIAI Nikolaos Stylianou, Panagiotis Kosmoliaptsis, Ioannis P. Vlahavas
2021	J	`jnl`	REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents. CoRR Aristotelis Lazaridis, Ioannis P. Vlahavas
2021	J	`jnl`	TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions. Artif. Intell. Medicine Dimitrios Zaikis, Ioannis P. Vlahavas
2021	J	`jnl`	TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature. J. Biomed. Informatics Nikolaos Stylianou, Ioannis P. Vlahavas
2020	J	`jnl`	Deep Reinforcement Learning: A State-of-the-Art Walkthrough. J. Artif. Intell. Res. Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas
2020	—	`conf`	Drug-Drug Interaction Classification Using Attention Based Neural Networks. SETN Dimitrios Zaikis, Ioannis P. Vlahavas
2020	J	`jnl`	E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. CoRR Nikolaos Stylianou, Ioannis P. Vlahavas
2020	J	`jnl`	EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. Artif. Intell. Medicine Nikolaos Stylianou, Gerasimos Razis, Dimitrios G. Goulis, Ioannis P. Vlahavas
2020	—	`conf`	LionForests: local interpretation of random forests. NeHuAI@ECAI Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
2020	B	`conf`	Multi-target regression via output space quantization. IJCNN Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
2020	J	`jnl`	Multi-target regression via output space quantization. CoRR Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
2020	—	`conf`	Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods (short paper). SETN Workshops Athanasios Tsionas, Aristotelis Lazaridis, Ioannis P. Vlahavas
2019	J	`jnl`	A Neural Entity Coreference Resolution Review. CoRR Nikolaos Stylianou, Ioannis P. Vlahavas
2019	J	`jnl`	Information Theoretic Multi-Target Feature Selection via Output Space Quantization. Entropy Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
2019	J	`jnl`	Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
2019	B	`conf`	Multi-target feature selection through output space clustering. ESANN Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
2019	J	`jnl`	The anatomy of bacteria-inspired nanonetworks: Molecular nanomachines in message dissemination. Nano Commun. Networks Olga Tsave, Ioannis Kavakiotis, Konstantinos F. Kantelis, Stathis B. Mavridopoulos, Petros Nicopolitidis, Georgios I. Papadimitriou, Ioannis P. Vlahavas, Athanasios Salifoglou
2018	J	`jnl`	PaaSport semantic model: An ontology for a platform-as-a-service semantically interoperable marketplace. Data Knowl. Eng. Nick Bassiliades, Moisis Symeonidis, Panagiotis Gouvas, Efstratios Kontopoulos, Georgios Meditskos, Ioannis P. Vlahavas
2018	—	`conf`	Real Time Location Based Sentiment Analysis on Twitter: The AirSent System. SETN Dimitrios Michailidis, Nikolaos Stylianou, Ioannis P. Vlahavas
2017	J	`jnl`	A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace. Expert Syst. Appl. Nick Bassiliades, Moisis Symeonidis, Georgios Meditskos, Efstratios Kontopoulos, Panagiotis Gouvas, Ioannis P. Vlahavas
2017	—	`conf`	Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. CLEF (Working Notes) Antonios Anagnostou, Athanasios Lagopoulos, Grigorios Tsoumakas, Ioannis P. Vlahavas
2017	J	`jnl`	FIFS: A data mining method for informative marker selection in high dimensional population genomic data. Comput. Biol. Medicine Ioannis Kavakiotis, Patroklos Samaras, Alexandros Triantafyllidis, Ioannis P. Vlahavas
2017	J	`jnl`	Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models. CoRR Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2017	J	`jnl`	Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. J. Biomed. Semant. Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2017	J	`jnl`	Learning to Teach Reinforcement Learning Agents. CoRR Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
2017	—	`conf`	Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company. PCI Ioannis Mamalikidis, Christos Karapiperis, Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2017	—	`conf`	Message dissemination dynamics in biological communication systems: A reaction-diffusion approach. ICT Konstantinos F. Kantelis, Georgios I. Papadimitriou, Petros Nikopolitidis, Ioannis P. Vlahavas, Olga Tsave, Athanasios Salifoglou
2016	—	`conf`	A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis. NANOCOM Stathis B. Mavridopoulos, Petros Nicopolitidis, Olga Tsave, Athanasios Salifoglou, Ioannis P. Vlahavas
2016	J	`jnl`	A smart university platform for building energy monitoring and savings. J. Ambient Intell. Smart Environ. Thanos G. Stavropoulos, George Koutitas, Dimitris Vrakas, Efstratios Kontopoulos, Ioannis P. Vlahavas
2016	—	`conf`	Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. SETN Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2016	J	`jnl`	Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia. BMC Bioinform. Ioannis Kavakiotis, Aliki Xochelli, Andreas Agathangelidis, Grigorios Tsoumakas, Nicos Maglaveras, Kostas Stamatopoulos, Anastasia Hadzidimitriou, Ioannis P. Vlahavas, Ioanna Chouvarda
2016	J	`jnl`	Multi-target regression via input space expansion: treating targets as inputs. Mach. Learn. Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas
2016	—	`ed.`	Proceedings of the 9th Hellenic Conference on Artificial Intelligence, SETN 2016, Thessaloniki, Greece, May 18-20, 2016 SETN Nick Bassiliades, Antonis Bikakis, Dimitris Vrakas, Ioannis P. Vlahavas, George A. Vouros
2016	—	`conf`	Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas
2016	J	`jnl`	The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. IEEE Trans. Serv. Comput. Thanos G. Stavropoulos, Stelios Andreadis, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas
2015	—	`conf`	A prediction model of passenger demand using AVL and APC data from a bus fleet. Panhellenic Conference on Informatics Patroklos Samaras, Anestis Fachantidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2015	—	`conf`	AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. CLEF (Working Notes) Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2015	J	`jnl`	Dynamic ensemble pruning based on multi-label classification. Neurocomputing Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2015	B	`conf`	Improving Diversity in Image Search via Supervised Relevance Scoring. ICMR Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Alexandru-Lucian Gînsca, Adrian Popescu, Yiannis Kompatsiaris, Ioannis P. Vlahavas
2015	J	`jnl`	Rule-based approaches for energy savings in an ambient intelligence environment. Pervasive Mob. Comput. Thanos G. Stavropoulos, Efstratios Kontopoulos, Nick Bassiliades, John Argyriou, Antonis Bikakis, Dimitris Vrakas, Ioannis P. Vlahavas
2015	J	`jnl`	Semantically Aware Web Service Composition Through AI Planning. Int. J. Artif. Intell. Tools Ourania Hatzi, Mara Nikolaidou, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2015	J	`jnl`	Transfer learning with probabilistic mapping selection. Adapt. Behav. Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
2014	J	`jnl`	A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. IEEE Trans. Multim. Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas
2014	—	`conf`	A Multi-agent Coordination Framework for Smart Building Energy Management. DEXA Workshops Thanos G. Stavropoulos, Emmanouil S. Rigas, Efstratios Kontopoulos, Nick Bassiliades, Ioannis P. Vlahavas
2014	—	`conf`	An Autonomous Transfer Learning Algorithm for TD-Learners. SETN Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
2014	J	`jnl`	Editorial. Int. J. Artif. Intell. Tools George A. Tsihrintzis, Themis Panayiotopoulos, Ioannis P. Vlahavas, Sotiris G. Ziavras
2014	—	`conf`	Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. CLEF (Working Notes) Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2014	—	`conf`	Feature Evaluation Metrics for Population Genomic Data. SETN Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2014	J	`jnl`	Multi-Target Regression via Random Linear Target Combinations. CoRR Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
2014	—	`conf`	Multi-target Regression via Random Linear Target Combinations. ECML/PKDD (3) Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
2014	J	`jnl`	Pattern discovery for microsatellite genome analysis. Comput. Biol. Medicine Ioannis Kavakiotis, Alexandros Triantafyllidis, Patroklos Samaras, Antonios Voulgaridis, Nikoletta Karaiskou, Evangelos Konstantinidis, Ioannis P. Vlahavas
2014	J	`jnl`	Reinforcement learning agents providing advice in complex video games. Connect. Sci. Matthew E. Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis P. Vlahavas, Lisa Torrey
2014	—	`conf`	SocialSensor: Finding Diverse Images at MediaEval 2014. MediaEval Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Ioannis P. Vlahavas
2014	J	`jnl`	The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. CoRR Thanos G. Stavropoulos, Stelios Andreadis, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas
2013	—	`ed.`	17th Panhellenic Conference on Informatics, PCI 2013, Thessaloniki, Greece - September 19 - 21, 2013 Panhellenic Conference on Informatics Panayiotis H. Ketikidis, Konstantinos G. Margaritis, Ioannis P. Vlahavas, Alexander Chatzigeorgiou, George Eleftherakis, Ioannis Stamelos
2013	J	`jnl`	A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks. Int. J. Interact. Mob. Technol. Christos Liaskos, George Koutitas, Ioannis P. Vlahavas
2013	J	`jnl`	A survey of service composition in ambient intelligence environments. Artif. Intell. Rev. Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas
2013	—	`conf`	Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). AAAI Spring Symposium: Lifelong Machine Learning Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
2013	—	`conf`	Iridescent: a tool for rapid semantic annotation of web service descriptions. WIMS Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas
2013	—	`conf`	Large-Scale Semantic Indexing of Biomedical Publications. BioASQ@CLEF Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
2013	—	`conf`	Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. CCMB Anestis Fachantidis, Alessandro G. Di Nuovo, Angelo Cangelosi, Ioannis P. Vlahavas
2013	J	`jnl`	The PORSCE II framework: using AI planning for automated Semantic Web service composition. Knowl. Eng. Rev. Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2013	J	`jnl`	Transferring task models in Reinforcement Learning agents. Neurocomputing Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2013	J	`jnl`	aWESoME: A web service middleware for ambient intelligence. Expert Syst. Appl. Thanos G. Stavropoulos, Konstantinos Gottis, Dimitris Vrakas, Ioannis P. Vlahavas
2012	J	`jnl`	An Integrated Approach to Automated Semantic Web Service Composition through Planning. IEEE Trans. Serv. Comput. Ourania Hatzi, Dimitris Vrakas, Mara Nikolaidou, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2012	—	`conf`	An empirical study on the combination of surf features with VLAD vectors for image search. WIAMIS Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Ioannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas
2012	—	`ed.`	Artificial Intelligence: Theories and Applications - 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings SETN Ilias Maglogiannis, Vassilis P. Plagianakos, Ioannis P. Vlahavas
2012	—	`conf`	IRISPortal: a semantic portal for industrial risk cases management. WIMS Georgios Meditskos, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas
2012	J	`jnl`	Multi-Label Classification Methods for Multi-Target Regression CoRR Eleftherios Spyromitros Xioufis, William Groves, Grigorios Tsoumakas, Ioannis P. Vlahavas
2012	J	`jnl`	StackTIS: A stacked generalization approach for effective prediction of translation initiation sites. Comput. Biol. Medicine George Tzanis, Christos Berberidis, Ioannis P. Vlahavas
2012	C	`conf`	Virtual laboratories on wireless communications: A contemporary, extensible approach. EDUCON Christos K. Liaskos, George C. Koutitas, Ioannis P. Vlahavas
2011	—	`conf`	A System for Energy Savings in an Ambient Intelligence Environment. ICT-GLOW Thanos G. Stavropoulos, Dimitris Vrakas, Alexandros Arvanitidis, Ioannis P. Vlahavas
2011	A*	`conf`	Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification. IJCAI Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	—	`conf`	MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. CLEF (Notebook Papers/Labs/Workshop) Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res. Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Jozef Vilcek, Ioannis P. Vlahavas
2011	C	`conf`	Multi-label Learning Approaches for Music Instrument Recognition. ISMIS Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	Multi-label classification of music by emotion. EURASIP J. Audio Speech Music. Process. Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas
2011	—	`conf`	On the Stratification of Multi-label Data. ECML/PKDD (3) Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2011	J	`jnl`	PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites. Expert Syst. Appl. George Tzanis, Ioannis Kavakiotis, Ioannis P. Vlahavas
2011	J	`jnl`	Random k-Labelsets for Multilabel Classification. IEEE Trans. Knowl. Data Eng. Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2011	J	`jnl`	The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning CoRR Ioannis Refanidis, Ioannis P. Vlahavas
2011	—	`conf`	Transfer Learning in Multi-Agent Reinforcement Learning Domains. EWRL Georgios Boutsioukis, Ioannis Partalas, Ioannis P. Vlahavas
2011	—	`conf`	Transfer Learning via Multiple Inter-task Mappings. EWRL Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
2011	—	`conf`	Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. EWRL Kyriakos C. Chatzidimitriou, Ioannis Partalas, Pericles A. Mitkas, Ioannis P. Vlahavas
2011	C	`conf`	Transferring Models in Hybrid Reinforcement Learning Agents. EANN Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	J	`jnl`	A visual programming system for automated problem solving. Expert Syst. Appl. Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2010	J	`jnl`	An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach. Learn. Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`conf`	Deploying a Semantically-Enabled Content Management System in a State University. EGOVIS Maria Befa, Efstratios Kontopoulos, Nick Bassiliades, Christos Berberidis, Ioannis P. Vlahavas
2010	—	`conf`	Instance-Based Ensemble Pruning via Multi-Label Classification. ICTAI (1) Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`ch.`	Mining Multi-label Data. Data Mining and Knowledge Discovery Handbook Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2010	—	`conf`	Mining for Mutually Exclusive Gene Expressions. SETN George Tzanis, Ioannis P. Vlahavas
2010	—	`conf`	Obtaining Bipartitions from Score Vectors for Multi-Label Classification. ICTAI (1) Marios Ioannou, George Sakkas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2010	—	`conf`	Semantic Awareness in Automated Web Service Composition through Planning. SETN Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2010	—	`conf`	System Architecture for a Smart University Building. ICANN (3) Thanos G. Stavropoulos, Ageliki Tsioliaridou, George Koutitas, Dimitris Vrakas, Ioannis P. Vlahavas
2010	J	`jnl`	Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowl. Inf. Syst. Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	C	`conf`	An Empirical Study of Multi-label Learning Methods for Video Annotation. CBMI Anastasios Dimou, Grigorios Tsoumakas, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis P. Vlahavas
2009	—	`ch.`	An Ensemble Pruning Primer. Applications of Supervised and Unsupervised Ensemble Methods Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas
2009	J	`jnl`	An adaptive personalized news dissemination system. J. Intell. Inf. Syst. Ioannis Katakis, Grigorios Tsoumakas, Evangelos Banos, Nick Bassiliades, Ioannis P. Vlahavas
2009	J	`jnl`	Applying adaptive prediction to sea-water quality measurements. Expert Syst. Appl. Evaggelos V. Hatzikos, Jari J. Hätönen, Nick Bassiliades, Ioannis P. Vlahavas, Eleni Fournou
2009	Misc	`ed.`	Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI'2009), April 23-25, 2009, Thessaloniki, Greece AIAI Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer
2009	—	`ch.`	Distributed Data Mining. Database Technologies: Concepts, Methodologies, Tools, and Applications Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	Misc	`conf`	On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. AIAI Ioannis Katakis, Georgios Meditskos, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2009	J	`jnl`	Pruning an ensemble of classifiers via reinforcement learning. Neurocomputing Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2009	—	`conf`	Semantic Web Service Composition Using Planning and Ontology Concept Relevance. Web Intelligence Ourania Hatzi, Georgios Meditskos, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2009	—	`conf`	Transferring experience in reinforcement learning through task decomposition. AAMAS (2) Ioannis Partalas, Grigorios Tsoumakas, Konstantinos Tzevanidis, Ioannis P. Vlahavas
2008	J	`jnl`	A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion. Int. J. Artif. Intell. Tools Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas
2008	—	`conf`	A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition. IBERAMIA Ourania Hatzi, Georgios Meditskos, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2008	—	`conf`	An Empirical Study of Lazy Multilabel Classification Algorithms. SETN Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	A	`conf`	An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. ECAI Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	J	`jnl`	An empirical study on sea water quality prediction. Knowl. Based Syst. Evaggelos V. Hatzikos, Grigorios Tsoumakas, George Tzanis, Nick Bassiliades, Ioannis P. Vlahavas
2008	J	`jnl`	An ontology-based planning system for e-course generation. Expert Syst. Appl. Efstratios Kontopoulos, Dimitris Vrakas, Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas
2008	A	`conf`	Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. ECAI Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
2008	J	`jnl`	Greedy regression ensemble selection: Theory and an application to water quality prediction. Inf. Sci. Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V. Hatzikos, Ioannis P. Vlahavas
2008	—	`conf`	MOpiS: A Multiple Opinion Summarizer. SETN Fotis Kokkoras, Efstratia Lampridou, Konstantinos Ntonas, Ioannis P. Vlahavas
2008	—	`conf`	Multi-Label Classification of Music into Emotions. ISMIR Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas
2008	C	`conf`	Polyadenylation site prediction using interesting emerging patterns. BIBE George Tzanis, Ioannis Kavakiotis, Ioannis P. Vlahavas
2008	J	`jnl`	Regression via Classification applied on software defect estimation. Expert Syst. Appl. Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas
2008	A	`conf`	Reinforcement Learning with Classifier Selection for Focused Crawling. ECAI Ioannis Partalas, Georgios Paliouras, Ioannis P. Vlahavas
2007	—	`conf`	Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression. ICTAI (1) George Tzanis, Ioannis P. Vlahavas
2007	J	`jnl`	An interoperable and scalable Web-based system for classifier sharing and fusion. Expert Syst. Appl. Grigorios Tsoumakas, Ioannis P. Vlahavas
2007	Misc	`conf`	Cooperative CG-Wrappers for Web Content Extraction. ICCS Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas
2007	J	`jnl`	Detection and Prediction of Rare Events in Transaction Databases. Int. J. Artif. Intell. Tools Christos Berberidis, Ioannis P. Vlahavas
2007	J	`jnl`	Monitoring water quality through a telematic sensor network and a fuzzy expert system. Expert Syst. J. Knowl. Eng. Evaggelos V. Hatzikos, Nick Bassiliades, Leonidas Asmanis, Ioannis P. Vlahavas
2007	—	`conf`	Multi-agent Reinforcement Learning Using Strategies and Voting. ICTAI (2) Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas
2007	—	`conf`	Random ECML Grigorios Tsoumakas, Ioannis P. Vlahavas
2006	J	`jnl`	A Defeasible Logic Reasoner for the Semantic Web. Int. J. Semantic Web Inf. Syst. Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas
2006	—	`conf`	A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites. ISBMDA George Tzanis, Christos Berberidis, Ioannis P. Vlahavas
2006	J	`jnl`	Communicating sequential processes for distributed constraint satisfaction. Inf. Sci. Ilias Sakellariou, Ioannis P. Vlahavas, Ivan Futó, Zoltán Pásztor, János Szeredi
2006	—	`conf`	Ensemble Pruning Using Reinforcement Learning. SETN Ioannis Partalas, Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2006	—	`conf`	PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. OTM Conferences (1) Evangelos Banos, Ioannis Katakis, Nick Bassiliades, Grigorios Tsoumakas, Ioannis P. Vlahavas
2006	—	`conf`	Prediction of Translation Initiation Sites Using Classifier Selection. SETN George Tzanis, Ioannis P. Vlahavas
2006	J	`jnl`	R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata. Int. J. Semantic Web Inf. Syst. Nick Bassiliades, Ioannis P. Vlahavas
2006	C	`conf`	Software Defect Prediction Using Regression via Classification. AICCSA Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas
2006	—	`conf`	Towards Automatic Synthesis of Educational Resources Through Automated Planning. SETN Dimitris Vrakas, Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas
2005	—	`conf`	A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web. Panhellenic Conference on Informatics Nick Bassiliades, Efstratios Kontopoulos, Grigoris Antoniou, Ioannis P. Vlahavas
2005	J	`jnl`	A Visualization Environment for Planning. Int. J. Artif. Intell. Tools Dimitris Vrakas, Ioannis P. Vlahavas
2005	—	`ch.`	Biological Data Mining. Encyclopedia of Database Technologies and Applications George Tzanis, Christos Berberidis, Ioannis P. Vlahavas
2005	J	`jnl`	HAPRC: an automatically configurable planning system. AI Commun. Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2005	J	`jnl`	Hybrid ACE: Combining Search Directions for Heuristic Planning. Comput. Intell. Dimitris Vrakas, Ioannis P. Vlahavas
2005	—	`conf`	Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences. Panhellenic Conference on Informatics George Tzanis, Christos Berberidis, Anastasia Alexandridou, Ioannis P. Vlahavas
2005	J	`jnl`	Mining for weak periodic signals in time series databases. Intell. Data Anal. Christos Berberidis, Ioannis P. Vlahavas
2005	—	`conf`	On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. Panhellenic Conference on Informatics Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas
2005	—	`conf`	Protein Classification with Multiple Algorithms. Panhellenic Conference on Informatics Sotiris Diplaris, Grigorios Tsoumakas, Pericles A. Mitkas, Ioannis P. Vlahavas
2005	J	`jnl`	Selective fusion of heterogeneous classifiers. Intell. Data Anal. Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas
2005	J	`jnl`	Web Service Composition Using a Deductive XML Rule Language. Distributed Parallel Databases Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas
2004	—	`conf`	A Defeasible Logic Reasoner for the Semantic Web. RuleML Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas
2004	J	`jnl`	Clustering classifiers for knowledge discovery from physically distributed databases. Data Knowl. Eng. Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas
2004	—	`conf`	DR-DEVICE: A Defeasible Logic System for the Semantic Web. PPSWR Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas
2004	J	`jnl`	Distributed singleton consistency. J. Exp. Theor. Artif. Intell. Ilias Sakellariou, Ioannis P. Vlahavas
2004	—	`conf`	Effective Voting of Heterogeneous Classifiers. ECML Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
2004	A	`conf`	Lazy Adaptive Multicriteria Planning. ECAI Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas
2004	—	`conf`	Predicting Missing Parts in Time Series Using Uncertainty Theory. ISBMDA Sokratis Konias, Nicos Maglaveras, Ioannis P. Vlahavas
2004	—	`conf`	R-DEVICE: A Deductive RDF Rule Language. RuleML Nick Bassiliades, Ioannis P. Vlahavas
2004	—	`conf`	Using the k-Nearest Problems for Adaptive Multicriteria Planning. SETN Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas
2003	J	`jnl`	"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools. Comput. Educ. Stavros N. Demetriadis, A. Barbas, A. Molohides, George Palaigeorgiou, D. Psillos, Ioannis P. Vlahavas, Ioannis A. Tsoukalas, Andreas S. Pombortsis
2003	—	`conf`	Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System. WWW (Posters) Nick Bassiliades, Ioannis P. Vlahavas
2003	J	`jnl`	InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing. IEEE Trans. Knowl. Data Eng. Nick Bassiliades, Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Elias N. Houstis
2003	A*	`conf`	Learning Rules for Adaptive Planning. ICAPS Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas
2003	J	`jnl`	Multiobjective heuristic state-space planning. Artif. Intell. Ioannis Refanidis, Ioannis P. Vlahavas
2003	—	`ch.`	Using Logic for Querying XML Data. Web-Powered Databases Nick Bassiliades, Ioannis P. Vlahavas, Demetrios G. Sampson
2002	Misc	`conf`	A Heuristic for Planning Based on Action Evaluation. AIMSA Dimitris Vrakas, Ioannis P. Vlahavas
2002	—	`conf`	CSPCONS: A Communicating Sequential Prolog with Constraints. SETN Ioannis P. Vlahavas, Ilias Sakellariou, Ivan Futó, Zoltán Pásztor, János Szeredi
2002	A	`conf`	Effective Stacking of Distributed Classifiers. ECAI Grigorios Tsoumakas, Ioannis P. Vlahavas
2002	J	`jnl`	ExperNet: An Intelligent Multiagent System for WAN Management. IEEE Intell. Syst. Ioannis P. Vlahavas, Nick Bassiliades, Ilias Sakellariou, Martín Molina, Sascha Ossowski, Ivan Futó, Zoltán Pásztor, János Szeredi, Igor Velbitskiy, Sergey Yershov, Igor Netesin
2002	—	`conf`	Intelligent Querying of Web Documents Using a Deductive XML Repository. SETN Nick Bassiliades, Ioannis P. Vlahavas
2002	J	`jnl`	MACLP: multi agent constraint logic programming. Inf. Sci. Ioannis P. Vlahavas
2002	—	`ed.`	Methods and Applications of Artificial Intelligence, Second Hellenic Conference on AI, SETN 2002. Thessaloniki, Greece, April 11-12, 2002, Proceedings SETN Ioannis P. Vlahavas, Constantine D. Spyropoulos
2002	A	`conf`	Multiple and Partial Periodicity Mining in Time Series Databases. ECAI Christos Berberidis, Walid G. Aref, Mikhail J. Atallah, Ioannis P. Vlahavas, Ahmed K. Elmagarmid
2002	—	`conf`	On the Discovery of Weak Periodicities in Large Time Series. PKDD Christos Berberidis, Ioannis P. Vlahavas, Walid G. Aref, Mikhail J. Atallah, Ahmed K. Elmagarmid
2002	J	`jnl`	Smart VideoText: a video data model based on conceptual graphs. Multim. Syst. Fotis Kokkoras, Haitao Jiang, Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Elias N. Houstis, Walid G. Aref
2001	—	`conf`	A Knowledge Based Approach on Educational Metadata Use. Panhellenic Conference on Informatics Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. Vlahavas
2001	J	`jnl`	Parallel planning via the distribution of operators. J. Exp. Theor. Artif. Intell. Dimitris Vrakas, Ioannis Refanidis, Ioannis P. Vlahavas
2001	J	`jnl`	The GRT Planner. AI Mag. Ioannis Refanidis, Ioannis P. Vlahavas
2001	J	`jnl`	The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning. J. Artif. Intell. Res. Ioannis Refanidis, Ioannis P. Vlahavas
2000	J	`jnl`	E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support. IEEE Trans. Knowl. Data Eng. Nick Bassiliades, Ioannis P. Vlahavas, Ahmed K. Elmagarmid
2000	—	`conf`	Exploiting State Constraints in Heuristic State-Space Planning. AIPS Ioannis Refanidis, Ioannis P. Vlahavas
2000	A	`conf`	Heuristic Planning with Resources. ECAI Ioannis Refanidis, Ioannis P. Vlahavas
2000	J	`jnl`	Knowledge based evaluation of software systems: a case study. Inf. Softw. Technol. Ioannis Stamelos, Ioannis P. Vlahavas, Ioannis Refanidis, Alexis Tsoukiàs
2000	—	`conf`	The GRT Planner: New Results. Local Search for Planning and Scheduling Ioannis Refanidis, Ioannis P. Vlahavas
1999	J	`jnl`	ESSE: an expert system for software evaluation. Knowl. Based Syst. Ioannis P. Vlahavas, Ioannis Stamelos, Ioannis Refanidis, Alexis Tsoukiàs
1999	—	`conf`	GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables. ECP Ioannis Refanidis, Ioannis P. Vlahavas
1999	J	`jnl`	OASys: an AND/OR parallel logic programming system. Parallel Comput. Ioannis P. Vlahavas, Petros Kefalas, Constantin Halatsis
1999	J	`jnl`	PARCIS: a robust parallel VLSI circuit simulator. Simul. Pract. Theory Panagiotis Linardis, Ioannis P. Vlahavas
1998	J	`jnl`	Exploiting and-or parallelism in Prolog: The OASys computational model and abstract architecture. J. Syst. Softw. Ioannis P. Vlahavas
1998	Misc	`conf`	System Architecture of a Distributed Expert System for the Management of a National Data Network. AIMSA Ioannis P. Vlahavas, Nick Bassiliades, Ilias Sakellariou, Martín Molina, Sascha Ossowski, Ivan Futó, Zoltán Pásztor, János Szeredi, Igor Velbitskiy, Sergey Yershov, Sergey Golub, Igor Netesin
1997	J	`jnl`	DEVICE: Compiling production rules into event-driven rules using complex events. Inf. Softw. Technol. Nick Bassiliades, Ioannis P. Vlahavas
1997	J	`jnl`	Processing Production Rules in DEVICE, and Active Knowledge Base System. Data Knowl. Eng. Nick Bassiliades, Ioannis P. Vlahavas
1996	J	`jnl`	Hierarchical Query Execution in a Parallel Object-Oriented Database System. Parallel Comput. Nick Bassiliades, Ioannis P. Vlahavas
1996	—	`conf`	Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs. Euro-Par, Vol. I Petros Kefalas, Ioannis P. Vlahavas
1995	A*	`conf`	A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems. VLDB Nick Bassiliades, Ioannis P. Vlahavas
1995	J	`jnl`	Comfresh: A Common Framework for Expert Systems and Hypertext. Inf. Process. Manag. Fotis Kokkoras, Ioannis P. Vlahavas
1995	J	`jnl`	Constraint Checking in a Parallel Object-oriented Database System. Parallel Algorithms Appl. Nick Bassiliades, Ioannis P. Vlahavas
1995	J	`jnl`	PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System. Inf. Sci. Nick Bassiliades, Ioannis P. Vlahavas
1994	J	`jnl`	A contribution to the problem of avoiding congestion in multistage networks in the presence of unbalanced traffic. J. Syst. Softw. Andreas S. Pombortsis, Ioannis P. Vlahavas
1994	A	`conf`	Modelling Constraints with Exceptions in Object-Oriented Databases. ER Nick Bassiliades, Ioannis P. Vlahavas
1993	J	`jnl`	A novel flow control and switching strategy for preventing hotspot congestion in multistage networks. Microprocess. Microsystems Andreas S. Pombortsis, Ioannis P. Vlahavas
1993	—	`conf`	Flow control and switching strategy for preventing congestion in multistage networks. Architecture and Protocols for High-Speed Networks Andreas S. Pombortsis, Ioannis P. Vlahavas
1992	J	`jnl`	A parallel Prolog resolution based on multiple unifications. Parallel Comput. Ioannis P. Vlahavas, Petros Kefalas
1992	J	`jnl`	An abstract prolog machine based on parallel resolution principle. Microprocess. Microprogramming Ioannis P. Vlahavas, Petros Kefalas
1989	J	`jnl`	L-machine: A low-cost personal sequential inference machine. J. Syst. Softw. Ioannis P. Vlahavas, Constantin Halatsis
1987	J	`jnl`	A RISC prolog machine architecture. Microprocess. Microprogramming Ioannis P. Vlahavas, Constantin Halatsis