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ORCIDIoannis P. Vlahavas
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- affiliation: Aristotle University of Thessaloniki, Greece
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2020 – today
- 2025
[j95]Eleftherios Kouloumpris
, Ioannis P. Vlahavas:
Markowitz random forest: Weighting classification and regression trees with modern portfolio theory. Neurocomputing 620: 129191 (2025)- 2024
- [j94]Vasilis Kochliaridis, Anastasia Papadopoulou, Ioannis P. Vlahavas:
UNSURE - A machine learning approach to cryptocurrency trading. Appl. Intell. 54(7): 5688-5710 (2024) - [j93]Eleftherios Kouloumpris, Konstantinos Moutsianas, Ioannis P. Vlahavas:
SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. Expert Syst. Appl. 249: 123637 (2024) - [j92]Eleftherios Kouloumpris, Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas:
Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. Int. J. Artif. Intell. Tools 33(1): 2350059:1-2350059:23 (2024) - [c111]Vasileios Kochliaridis, Ioannis Pierros, Georgios Romanos, Ioannis P. Vlahavas:
ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ICPR (7) 2024: 217-231 - [c110]Ioannis Pierros, Vasileios Kochliaridis, Eirini Apostolidou, Eleni Delimpasi, Vasileios Zygouris, Ioannis P. Vlahavas:
Predictive Maintenance Under Absence of Sensor Data. AIAI (2) 2024: 279-292 - [c109]Georgios Liapis, Anna Vordou, Ioannis P. Vlahavas:
Machine Learning Methods for Emulating Personality Traits in a Gamified Environment. SETN 2024: 5:1-5:8 - [c108]Vasileios Kochliaridis, Evaggelos Kostinoudis, Ioannis P. Vlahavas:
Optimizing Pretrained Transformers for Autonomous Driving. SETN 2024: 22:1-22:9 - 2023
- [j91]Dimitrios Zaikis, Ioannis P. Vlahavas:
From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning. IEEE Access 11: 115951-115967 (2023) - [j90]Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas:
Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. Neural Comput. Appl. 35(29): 21445-21462 (2023) - [c107]Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas:
DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. EANN 2023: 585-598 - [c106]George Liapis, Katerina Zacharia, Kejsi Rrasa, Ioannis P. Vlahavas:
Serious Escape Room Game for Personality Assessment. GALA 2023: 420-425 - [c105]Georgios Liapis, Loukritira Stefanou, Ioannis P. Vlahavas:
Classifying Intelligence Tests Patterns Using Machine Learning Methods. ICPRAM 2023: 717-724 - [c104]Georgios Aivatoglou, Alexia Fytili, Georgios Arampatzis, Dimitrios Zaikis, Nikolaos Stylianou, Ioannis P. Vlahavas:
End-to-End Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages. IntelliSys (3) 2023: 841-858 - [c103]Dimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos, Ioannis P. Vlahavas:
Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments. SemEval@ACL 2023: 1037-1043 - [c102]Achilleas Chytas, Nick Bassiliades, Ioannis P. Vlahavas, Pantelis Natsiavas:
Towards a Systems Pharmacology Ontology: the use of state-machines paradigm. SWAT4HCLS 2023: 112-113 - [i12]Vasileios Moschopoulos, Pantelis Kyriakidis, Aristotelis Lazaridis, Ioannis P. Vlahavas:
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning. CoRR abs/2305.15801 (2023) - 2022
- [j89]Aristotelis Lazaridis, Ioannis P. Vlahavas:
REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents. Neurocomputing 497: 86-93 (2022) - [j88]Ioannis Almalis, Eleftherios Kouloumpris, Ioannis P. Vlahavas:
Sector-level sentiment analysis with deep learning. Knowl. Based Syst. 258: 109954 (2022) - [c101]Ioannis Pierros, Ioannis P. Vlahavas:
Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. ICANN (3) 2022: 556-568 - [c100]Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas:
TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. AIAI (1) 2022: 304-315 - [c99]Aristotelis Lazaridis, Christos Perchanidis, Doxakis Chovardas, Ioannis P. Vlahavas:
AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold'em Poker Video Game. INISTA 2022: 1-6 - [c98]Ioannis P. Pierros, Eleftherios Kouloumpris, Dimitrios Zaikis, Ioannis P. Vlahavas:
Retail Demand Forecasting for 1 Million Products. ISDA (1) 2022: 467-479 - [c97]Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas:
Transforming Drug-Drug Interaction Extraction from Biomedical Literature. SETN 2022: 12:1-12:8 - [c96]Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN 2022: 42:1-42:10 - 2021
- [j87]Dimitrios Zaikis, Ioannis P. Vlahavas:
TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions. Artif. Intell. Medicine 119: 102153 (2021) - [j86]Nikolaos Stylianou, Ioannis P. Vlahavas:
A neural Entity Coreference Resolution review. Expert Syst. Appl. 168: 114466 (2021) - [j85]Nikolaos Stylianou, Ioannis P. Vlahavas:
TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature. J. Biomed. Informatics 117: 103767 (2021) - [c95]Nikolaos Stylianou, Panagiotis Kosmoliaptsis, Ioannis P. Vlahavas:
Improved Biomedical Entity Recognition via Longer Context Modeling. AIAI 2021: 45-56 - [i11]Aristotelis Lazaridis, Ioannis P. Vlahavas:
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents. CoRR abs/2110.05128 (2021) - [i10]Nikolaos Stylianou, Ioannis P. Vlahavas:
CoreLM: Coreference-aware Language Model Fine-Tuning. CoRR abs/2111.02687 (2021) - 2020
- [j84]Nikolaos Stylianou, Gerasimos Razis, Dimitrios G. Goulis, Ioannis P. Vlahavas:
EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. Artif. Intell. Medicine 108: 101949 (2020) - [j83]Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas:
Deep Reinforcement Learning: A State-of-the-Art Walkthrough. J. Artif. Intell. Res. 69: 1421-1471 (2020) - [c94]Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas:
LionForests: local interpretation of random forests. NeHuAI@ECAI 2020: 17-24 - [c93]Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. IJCNN 2020: 1-9 - [c92]Athanasios Tsionas, Aristotelis Lazaridis, Ioannis P. Vlahavas:
Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods (short paper). SETN Workshops 2020: 32-35 - [c91]Dimitrios Zaikis, Ioannis P. Vlahavas:
Drug-Drug Interaction Classification Using Attention Based Neural Networks. SETN 2020: 34-40 - [i9]Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas:
Multi-target regression via output space quantization. CoRR abs/2003.09896 (2020) - [i8]Nikolaos Stylianou, Ioannis P. Vlahavas:
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. CoRR abs/2011.05431 (2020)
2010 – 2019
- 2019
- [j82]Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas:
Information Theoretic Multi-Target Feature Selection via Output Space Quantization. Entropy 21(9): 855 (2019) - [j81]Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. 1(1): 21-42 (2019) - [j80]Olga Tsave, Ioannis Kavakiotis, Konstantinos F. Kantelis, Stathis B. Mavridopoulos, Petros Nicopolitidis, Georgios I. Papadimitriou, Ioannis P. Vlahavas, Athanasios Salifoglou:
The anatomy of bacteria-inspired nanonetworks: Molecular nanomachines in message dissemination. Nano Commun. Networks 21 (2019) - [c90]Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas:
Multi-target feature selection through output space clustering. ESANN 2019 - [i7]Nikolaos Stylianou, Ioannis P. Vlahavas:
A Neural Entity Coreference Resolution Review. CoRR abs/1910.09329 (2019) - 2018
- [j79]Nick Bassiliades, Moisis Symeonidis, Panagiotis Gouvas, Efstratios Kontopoulos, Georgios Meditskos, Ioannis P. Vlahavas:
PaaSport semantic model: An ontology for a platform-as-a-service semantically interoperable marketplace. Data Knowl. Eng. 113: 81-115 (2018) - [c89]Dimitrios Michailidis, Nikolaos Stylianou, Ioannis P. Vlahavas:
Real Time Location Based Sentiment Analysis on Twitter: The AirSent System. SETN 2018: 21:1-21:4 - 2017
- [j78]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. J. Biomed. Semant. 8(1): 43:1-43:13 (2017) - [j77]Ioannis Kavakiotis, Patroklos Samaras, Alexandros Triantafyllidis, Ioannis P. Vlahavas:
FIFS: A data mining method for informative marker selection in high dimensional population genomic data. Comput. Biol. Medicine 90: 146-154 (2017) - [j76]Nick Bassiliades, Moisis Symeonidis, Georgios Meditskos, Efstratios Kontopoulos, Panagiotis Gouvas, Ioannis P. Vlahavas:
A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace. Expert Syst. Appl. 67: 203-227 (2017) - [c88]Antonios Anagnostou, Athanasios Lagopoulos, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews. CLEF (Working Notes) 2017 - [c87]Konstantinos F. Kantelis, Georgios I. Papadimitriou, Petros Nikopolitidis, Ioannis P. Vlahavas, Olga Tsave, Athanasios Salifoglou:
Message dissemination dynamics in biological communication systems: A reaction-diffusion approach. ICT 2017: 1-5 - [c86]Ioannis Mamalikidis, Christos Karapiperis, Lefteris Angelis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company. PCI 2017: 6:1-6:2 - [i6]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models. CoRR abs/1704.05271 (2017) - [i5]Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
Learning to Teach Reinforcement Learning Agents. CoRR abs/1707.09079 (2017) - 2016
- [j75]Ioannis Kavakiotis, Aliki Xochelli, Andreas Agathangelidis, Grigorios Tsoumakas, Nicos Maglaveras, Kostas Stamatopoulos, Anastasia Hadzidimitriou, Ioannis P. Vlahavas, Ioanna Chouvarda:
Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia. BMC Bioinform. 17(S-5): 173 (2016) - [j74]Thanos G. Stavropoulos, George Koutitas, Dimitris Vrakas, Efstratios Kontopoulos, Ioannis P. Vlahavas:
A smart university platform for building energy monitoring and savings. J. Ambient Intell. Smart Environ. 8(3): 301-323 (2016) - [j73]Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas:
Multi-target regression via input space expansion: treating targets as inputs. Mach. Learn. 104(1): 55-98 (2016) - [j72]Thanos G. Stavropoulos, Stelios Andreadis, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas:
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. IEEE Trans. Serv. Comput. 9(6): 954-967 (2016) - [c85]Stathis B. Mavridopoulos, Petros Nicopolitidis, Olga Tsave, Athanasios Salifoglou, Ioannis P. Vlahavas:
A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis. NANOCOM 2016: 34:1-34:2 - [c84]Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. SETN 2016: 22:1-22:4 - [c83]Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN 2016: 23:1-23:4 - [e5]Nick Bassiliades, Antonis Bikakis, Dimitris Vrakas, Ioannis P. Vlahavas, George A. Vouros:
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, SETN 2016, Thessaloniki, Greece, May 18-20, 2016. ACM 2016, ISBN 978-1-4503-3734-2 [contents] - 2015
- [j71]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23(1): 3-19 (2015) - [j70]Ourania Hatzi, Mara Nikolaidou, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
Semantically Aware Web Service Composition Through AI Planning. Int. J. Artif. Intell. Tools 24(1): 1450015:1-1450015:25 (2015) - [j69]Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Dynamic ensemble pruning based on multi-label classification. Neurocomputing 150: 501-512 (2015) - [j68]Thanos G. Stavropoulos, Efstratios Kontopoulos, Nick Bassiliades, John Argyriou, Antonis Bikakis, Dimitris Vrakas, Ioannis P. Vlahavas:
Rule-based approaches for energy savings in an ambient intelligence environment. Pervasive Mob. Comput. 19: 1-23 (2015) - [c82]Yannis Papanikolaou, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine. CLEF (Working Notes) 2015 - [c81]Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Alexandru-Lucian Gînsca, Adrian Popescu, Yiannis Kompatsiaris, Ioannis P. Vlahavas:
Improving Diversity in Image Search via Supervised Relevance Scoring. ICMR 2015: 323-330 - [c80]Patroklos Samaras, Anestis Fachantidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
A prediction model of passenger demand using AVL and APC data from a bus fleet. Panhellenic Conference on Informatics 2015: 129-134 - 2014
- [j67]Ioannis Kavakiotis, Alexandros Triantafyllidis, Patroklos Samaras, Antonios Voulgaridis, Nikoletta Karaiskou, Evangelos Konstantinidis, Ioannis P. Vlahavas:
Pattern discovery for microsatellite genome analysis. Comput. Biol. Medicine 46: 71-78 (2014) - [j66]Matthew E. Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis P. Vlahavas, Lisa Torrey:
Reinforcement learning agents providing advice in complex video games. Connect. Sci. 26(1): 45-63 (2014) - [j65]George A. Tsihrintzis, Themis Panayiotopoulos, Ioannis P. Vlahavas, Sotiris G. Ziavras:
Editorial. Int. J. Artif. Intell. Tools 23(4) (2014) - [j64]Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas:
A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. IEEE Trans. Multim. 16(6): 1713-1728 (2014) - [c79]Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. CLEF (Working Notes) 2014: 1348-1360 - [c78]Thanos G. Stavropoulos, Emmanouil S. Rigas, Efstratios Kontopoulos, Nick Bassiliades, Ioannis P. Vlahavas:
A Multi-agent Coordination Framework for Smart Building Energy Management. DEXA Workshops 2014: 126-130 - [c77]Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Ioannis P. Vlahavas:
SocialSensor: Finding Diverse Images at MediaEval 2014. MediaEval 2014 - [c76]Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas:
Multi-target Regression via Random Linear Target Combinations. ECML/PKDD (3) 2014: 225-240 - [c75]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN 2014: 57-70 - [c74]Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Feature Evaluation Metrics for Population Genomic Data. SETN 2014: 436-441 - [i4]Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas:
Multi-Target Regression via Random Linear Target Combinations. CoRR abs/1404.5065 (2014) - [i3]Thanos G. Stavropoulos, Stelios Andreadis, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas:
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. CoRR abs/1410.5614 (2014) - 2013
- [j63]Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas:
A survey of service composition in ambient intelligence environments. Artif. Intell. Rev. 40(3): 247-270 (2013) - [j62]Thanos G. Stavropoulos, Konstantinos Gottis, Dimitris Vrakas, Ioannis P. Vlahavas:
aWESoME: A web service middleware for ambient intelligence. Expert Syst. Appl. 40(11): 4380-4392 (2013) - [j61]Christos Liaskos, George Koutitas, Ioannis P. Vlahavas:
A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks. Int. J. Interact. Mob. Technol. 7(3): 15-21 (2013) - [j60]Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring task models in Reinforcement Learning agents. Neurocomputing 107: 23-32 (2013) - [j59]Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
The PORSCE II framework: using AI planning for automated Semantic Web service composition. Knowl. Eng. Rev. 28(2): 137-156 (2013) - [c73]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c72]Anestis Fachantidis, Alessandro G. Di Nuovo, Angelo Cangelosi, Ioannis P. Vlahavas:
Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. CCMB 2013: 87-93 - [c71]Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas:
Large-Scale Semantic Indexing of Biomedical Publications. BioASQ@CLEF 2013 - [c70]Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas:
Iridescent: a tool for rapid semantic annotation of web service descriptions. WIMS 2013: 12 - [e4]Panayiotis H. Ketikidis, Konstantinos G. Margaritis, Ioannis P. Vlahavas, Alexander Chatzigeorgiou, George Eleftherakis, Ioannis Stamelos:
17th Panhellenic Conference on Informatics, PCI 2013, Thessaloniki, Greece - September 19 - 21, 2013. ACM 2013, ISBN 978-1-4503-1969-0 [contents] - 2012
- [j58]George Tzanis, Christos Berberidis, Ioannis P. Vlahavas:
StackTIS: A stacked generalization approach for effective prediction of translation initiation sites. Comput. Biol. Medicine 42(1): 61-69 (2012) - [j57]Ourania Hatzi, Dimitris Vrakas, Mara Nikolaidou, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
An Integrated Approach to Automated Semantic Web Service Composition through Planning. IEEE Trans. Serv. Comput. 5(3): 319-332 (2012) - [c69]Christos K. Liaskos, George C. Koutitas, Ioannis P. Vlahavas:
Virtual laboratories on wireless communications: A contemporary, extensible approach. EDUCON 2012: 1-10 - [c68]Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Ioannis Kompatsiaris, Grigorios Tsoumakas, Ioannis P. Vlahavas:
An empirical study on the combination of surf features with VLAD vectors for image search. WIAMIS 2012: 1-4 - [c67]Georgios Meditskos, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas:
IRISPortal: a semantic portal for industrial risk cases management. WIMS 2012: 28:1-28:8 - [e3]Ilias Maglogiannis, Vassilis P. Plagianakos, Ioannis P. Vlahavas:
Artificial Intelligence: Theories and Applications - 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7297, Springer 2012, ISBN 978-3-642-30447-7 [contents] - [i2]Eleftherios Spyromitros Xioufis, William Groves, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Multi-Label Classification Methods for Multi-Target Regression. CoRR abs/1211.6581 (2012) - 2011
- [j56]Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas:
Multi-label classification of music by emotion. EURASIP J. Audio Speech Music. Process. 2011: 4 (2011) - [j55]George Tzanis, Ioannis Kavakiotis, Ioannis P. Vlahavas:
PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites. Expert Syst. Appl. 38(10): 12398-12408 (2011) - [j54]Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Jozef Vilcek, Ioannis P. Vlahavas:
MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res. 12: 2411-2414 (2011) - [j53]Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Random k-Labelsets for Multilabel Classification. IEEE Trans. Knowl. Data Eng. 23(7): 1079-1089 (2011) - [c66]Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c65]Kyriakos C. Chatzidimitriou, Ioannis Partalas, Pericles A. Mitkas, Ioannis P. Vlahavas:
Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. EWRL 2011: 213-224 - [c64]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer Learning via Multiple Inter-task Mappings. EWRL 2011: 225-236 - [c63]Georgios Boutsioukis, Ioannis Partalas, Ioannis P. Vlahavas:
Transfer Learning in Multi-Agent Reinforcement Learning Domains. EWRL 2011: 249-260 - [c62]Thanos G. Stavropoulos, Dimitris Vrakas, Alexandros Arvanitidis, Ioannis P. Vlahavas:
A System for Energy Savings in an Ambient Intelligence Environment. ICT-GLOW 2011: 102-109 - [c61]Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring Models in Hybrid Reinforcement Learning Agents. EANN/AIAI (1) 2011: 162-171 - [c60]Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification. IJCAI 2011: 1583-1588 - [c59]Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Multi-label Learning Approaches for Music Instrument Recognition. ISMIS 2011: 734-743 - [c58]Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
On the Stratification of Multi-label Data. ECML/PKDD (3) 2011: 145-158 - [i1]Ioannis Refanidis, Ioannis P. Vlahavas:
The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning. CoRR abs/1106.0285 (2011) - 2010
- [j52]Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
A visual programming system for automated problem solving. Expert Syst. Appl. 37(6): 4611-4625 (2010) - [j51]Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Tracking recurring contexts using ensemble classifiers: an application to email filtering. Knowl. Inf. Syst. 22(3): 371-391 (2010) - [j50]Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach. Learn. 81(3): 257-282 (2010) - [c57]Maria Befa, Efstratios Kontopoulos, Nick Bassiliades, Christos Berberidis, Ioannis P. Vlahavas:
Deploying a Semantically-Enabled Content Management System in a State University. EGOVIS 2010: 257-264 - [c56]Thanos G. Stavropoulos, Ageliki Tsioliaridou, George Koutitas, Dimitris Vrakas, Ioannis P. Vlahavas:
System Architecture for a Smart University Building. ICANN (3) 2010: 477-482 - [c55]Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Instance-Based Ensemble Pruning via Multi-Label Classification. ICTAI (1) 2010: 401-408 - [c54]Marios Ioannou, George Sakkas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Obtaining Bipartitions from Score Vectors for Multi-Label Classification. ICTAI (1) 2010: 409-416 - [c53]Ourania Hatzi, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
Semantic Awareness in Automated Web Service Composition through Planning. SETN 2010: 123-132 - [c52]George Tzanis, Ioannis P. Vlahavas:
Mining for Mutually Exclusive Gene Expressions. SETN 2010: 255-264 - [p4]Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Mining Multi-label Data. Data Mining and Knowledge Discovery Handbook 2010: 667-685
2000 – 2009
- 2009
- [j49]Evaggelos V. Hatzikos, Jari J. Hätönen, Nick Bassiliades, Ioannis P. Vlahavas, Eleni Fournou:
Applying adaptive prediction to sea-water quality measurements. Expert Syst. Appl. 36(3): 6773-6779 (2009) - [j48]Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Pruning an ensemble of classifiers via reinforcement learning. Neurocomputing 72(7-9): 1900-1909 (2009) - [j47]Ioannis Katakis, Grigorios Tsoumakas, Evangelos Banos, Nick Bassiliades, Ioannis P. Vlahavas:
An adaptive personalized news dissemination system. J. Intell. Inf. Syst. 32(2): 191-212 (2009) - [c51]Ioannis Partalas, Grigorios Tsoumakas, Konstantinos Tzevanidis, Ioannis P. Vlahavas:
Transferring experience in reinforcement learning through task decomposition. AAMAS (2) 2009: 1193-1194 - [c50]Anastasios Dimou, Grigorios Tsoumakas, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis P. Vlahavas:
An Empirical Study of Multi-label Learning Methods for Video Annotation. CBMI 2009: 19-24 - [c49]Ioannis Katakis, Georgios Meditskos, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas:
On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. AIAI 2009: 95-104 - [c48]Ourania Hatzi, Georgios Meditskos, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
Semantic Web Service Composition Using Planning and Ontology Concept Relevance. Web Intelligence 2009: 418-421 - [p3]Grigorios Tsoumakas, Ioannis P. Vlahavas:
Distributed Data Mining. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 157-164 - [p2]Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas:
An Ensemble Pruning Primer. Applications of Supervised and Unsupervised Ensemble Methods 2009: 1-13 - [e2]Lazaros S. Iliadis, Ilias Maglogiannis, Grigorios Tsoumakas, Ioannis P. Vlahavas, Max Bramer:
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. IFIP Advances in Information and Communication Technology 296, Springer 2009, ISBN 978-1-4419-0220-7 [contents] - 2008
- [j46]Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas:
Regression via Classification applied on software defect estimation. Expert Syst. Appl. 34(3): 2091-2101 (2008) - [j45]Efstratios Kontopoulos, Dimitris Vrakas, Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas:
An ontology-based planning system for e-course generation. Expert Syst. Appl. 35(1-2): 398-406 (2008) - [j44]Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas:
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion. Int. J. Artif. Intell. Tools 17(5): 945-962 (2008) - [j43]Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V. Hatzikos, Ioannis P. Vlahavas:
Greedy regression ensemble selection: Theory and an application to water quality prediction. Inf. Sci. 178(20): 3867-3879 (2008) - [j42]Evaggelos V. Hatzikos, Grigorios Tsoumakas, George Tzanis, Nick Bassiliades, Ioannis P. Vlahavas:
An empirical study on sea water quality prediction. Knowl. Based Syst. 21(6): 471-478 (2008) - [c47]George Tzanis, Ioannis Kavakiotis, Ioannis P. Vlahavas:
Polyadenylation site prediction using interesting emerging patterns. BIBE 2008: 1-7 - [c46]Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. ECAI 2008: 117-121 - [c45]Ioannis Partalas, Georgios Paliouras, Ioannis P. Vlahavas:
Reinforcement Learning with Classifier Selection for Focused Crawling. ECAI 2008: 759-760 - [c44]Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. ECAI 2008: 763-764 - [c43]Ourania Hatzi, Georgios Meditskos, Dimitris Vrakas, Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition. IBERAMIA 2008: 42-51 - [c42]Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas:
Multi-Label Classification of Music into Emotions. ISMIR 2008: 325-330 - [c41]Fotis Kokkoras, Efstratia Lampridou, Konstantinos Ntonas, Ioannis P. Vlahavas:
MOpiS: A Multiple Opinion Summarizer. SETN 2008: 110-122 - [c40]Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
An Empirical Study of Lazy Multilabel Classification Algorithms. SETN 2008: 401-406 - 2007
- [j41]Evaggelos V. Hatzikos, Nick Bassiliades, Leonidas Asmanis, Ioannis P. Vlahavas:
Monitoring water quality through a telematic sensor network and a fuzzy expert system. Expert Syst. J. Knowl. Eng. 24(3): 143-161 (2007) - [j40]Grigorios Tsoumakas, Ioannis P. Vlahavas:
An interoperable and scalable Web-based system for classifier sharing and fusion. Expert Syst. Appl. 33(3): 716-724 (2007) - [j39]Christos Berberidis, Ioannis P. Vlahavas:
Detection and Prediction of Rare Events in Transaction Databases. Int. J. Artif. Intell. Tools 16(5): 829-848 (2007) - [c39]Grigorios Tsoumakas, Ioannis P. Vlahavas:
Random k -Labelsets: An Ensemble Method for Multilabel Classification. ECML 2007: 406-417 - [c38]Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas:
Cooperative CG-Wrappers for Web Content Extraction. ICCS 2007: 476-479 - [c37]George Tzanis, Ioannis P. Vlahavas:
Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression. ICTAI (1) 2007: 96-100 - [c36]Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas:
Multi-agent Reinforcement Learning Using Strategies and Voting. ICTAI (2) 2007: 318-324 - 2006
- [j38]Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas:
A Defeasible Logic Reasoner for the Semantic Web. Int. J. Semantic Web Inf. Syst. 2(1): 1-41 (2006) - [j37]Nick Bassiliades, Ioannis P. Vlahavas:
R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata. Int. J. Semantic Web Inf. Syst. 2(2): 24-90 (2006) - [j36]Ilias Sakellariou, Ioannis P. Vlahavas, Ivan Futó, Zoltán Pásztor, János Szeredi:
Communicating sequential processes for distributed constraint satisfaction. Inf. Sci. 176(5): 490-521 (2006) - [c35]Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas:
Software Defect Prediction Using Regression via Classification. AICCSA 2006: 330-336 - [c34]George Tzanis, Christos Berberidis, Ioannis P. Vlahavas:
A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites. ISBMDA 2006: 92-103 - [c33]Evangelos Banos, Ioannis Katakis, Nick Bassiliades, Grigorios Tsoumakas, Ioannis P. Vlahavas:
PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. OTM Conferences (1) 2006: 975-982 - [c32]Ioannis Partalas, Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Ensemble Pruning Using Reinforcement Learning. SETN 2006: 301-310 - [c31]George Tzanis, Ioannis P. Vlahavas:
Prediction of Translation Initiation Sites Using Classifier Selection. SETN 2006: 367-377 - [c30]Dimitris Vrakas, Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas:
Towards Automatic Synthesis of Educational Resources Through Automated Planning. SETN 2006: 421-431 - 2005
- [j35]Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas:
HAPRC: an automatically configurable planning system. AI Commun. 18(1): 41-60 (2005) - [j34]Dimitris Vrakas, Ioannis P. Vlahavas:
Hybrid ACE: Combining Search Directions for Heuristic Planning. Comput. Intell. 21(3): 306-331 (2005) - [j33]Nick Bassiliades, Dimosthenis Anagnostopoulos, Ioannis P. Vlahavas:
Web Service Composition Using a Deductive XML Rule Language. Distributed Parallel Databases 17(2): 135-178 (2005) - [j32]Christos Berberidis, Ioannis P. Vlahavas:
Mining for weak periodic signals in time series databases. Intell. Data Anal. 9(1): 29-42 (2005) - [j31]Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas:
Selective fusion of heterogeneous classifiers. Intell. Data Anal. 9(6): 511-525 (2005) - [j30]Dimitris Vrakas, Ioannis P. Vlahavas:
A Visualization Environment for Planning. Int. J. Artif. Intell. Tools 14(6): 975-998 (2005) - [c29]Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. Panhellenic Conference on Informatics 2005: 338-348 - [c28]Nick Bassiliades, Efstratios Kontopoulos, Grigoris Antoniou, Ioannis P. Vlahavas:
A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web. Panhellenic Conference on Informatics 2005: 404-414 - [c27]George Tzanis, Christos Berberidis, Anastasia Alexandridou, Ioannis P. Vlahavas:
Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences. Panhellenic Conference on Informatics 2005: 426-436 - [c26]Sotiris Diplaris, Grigorios Tsoumakas, Pericles A. Mitkas, Ioannis P. Vlahavas:
Protein Classification with Multiple Algorithms. Panhellenic Conference on Informatics 2005: 448-456 - [r1]George Tzanis, Christos Berberidis, Ioannis P. Vlahavas:
Biological Data Mining. Encyclopedia of Database Technologies and Applications 2005: 35-41 - 2004
- [j29]Grigorios Tsoumakas, Lefteris Angelis, Ioannis P. Vlahavas:
Clustering classifiers for knowledge discovery from physically distributed databases. Data Knowl. Eng. 49(3): 223-242 (2004) - [j28]Ilias Sakellariou, Ioannis P. Vlahavas:
Distributed singleton consistency. J. Exp. Theor. Artif. Intell. 16(2): 107-124 (2004) - [c25]Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas:
Lazy Adaptive Multicriteria Planning. ECAI 2004: 693-697 - [c24]Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas:
Effective Voting of Heterogeneous Classifiers. ECML 2004: 465-476 - [c23]Sokratis Konias, Nicos Maglaveras, Ioannis P. Vlahavas:
Predicting Missing Parts in Time Series Using Uncertainty Theory. ISBMDA 2004: 313-321 - [c22]Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas:
DR-DEVICE: A Defeasible Logic System for the Semantic Web. PPSWR 2004: 134-148 - [c21]Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vlahavas:
A Defeasible Logic Reasoner for the Semantic Web. RuleML 2004: 49-64 - [c20]Nick Bassiliades, Ioannis P. Vlahavas:
R-DEVICE: A Deductive RDF Rule Language. RuleML 2004: 65-80 - [c19]Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas:
Using the k-Nearest Problems for Adaptive Multicriteria Planning. SETN 2004: 132-141 - 2003
- [j27]Ioannis Refanidis, Ioannis P. Vlahavas:
Multiobjective heuristic state-space planning. Artif. Intell. 145(1-2): 1-32 (2003) - [j26]Stavros N. Demetriadis, A. Barbas, A. Molohides, George Palaigeorgiou, D. Psillos, Ioannis P. Vlahavas, Ioannis A. Tsoukalas, Andreas S. Pombortsis:
"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools. Comput. Educ. 41(1): 19-37 (2003) - [j25]Nick Bassiliades, Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Elias N. Houstis:
InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing. IEEE Trans. Knowl. Data Eng. 15(5): 1188-1205 (2003) - [c18]Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades, Ioannis P. Vlahavas:
Learning Rules for Adaptive Planning. ICAPS 2003: 82-91 - [c17]Nick Bassiliades, Ioannis P. Vlahavas:
Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System. WWW (Posters) 2003 - [p1]Nick Bassiliades, Ioannis P. Vlahavas, Demetrios G. Sampson:
Using Logic for Querying XML Data. Web-Powered Databases 2003: 1-35 - 2002
- [j24]Ioannis P. Vlahavas, Nick Bassiliades, Ilias Sakellariou, Martín Molina, Sascha Ossowski, Ivan Futó, Zoltán Pásztor, János Szeredi, Igor Velbitskiy, Sergey Yershov, Igor Netesin:
ExperNet: An Intelligent Multiagent System for WAN Management. IEEE Intell. Syst. 17(1): 62-72 (2002) - [j23]Ioannis P. Vlahavas:
MACLP: multi agent constraint logic programming. Inf. Sci. 144(1-4): 127-142 (2002) - [j22]Fotis Kokkoras, Haitao Jiang, Ioannis P. Vlahavas, Ahmed K. Elmagarmid, Elias N. Houstis, Walid G. Aref:
Smart VideoText: a video data model based on conceptual graphs. Multim. Syst. 8(4): 328-338 (2002) - [c16]Dimitris Vrakas, Ioannis P. Vlahavas:
A Heuristic for Planning Based on Action Evaluation. AIMSA 2002: 61-70 - [c15]Grigorios Tsoumakas, Ioannis P. Vlahavas:
Effective Stacking of Distributed Classifiers. ECAI 2002: 340-344 - [c14]Christos Berberidis, Walid G. Aref, Mikhail J. Atallah, Ioannis P. Vlahavas, Ahmed K. Elmagarmid:
Multiple and Partial Periodicity Mining in Time Series Databases. ECAI 2002: 370-374 - [c13]Christos Berberidis, Ioannis P. Vlahavas, Walid G. Aref, Mikhail J. Atallah, Ahmed K. Elmagarmid:
On the Discovery of Weak Periodicities in Large Time Series. PKDD 2002: 51-61 - [c12]Ioannis P. Vlahavas, Ilias Sakellariou, Ivan Futó, Zoltán Pásztor, János Szeredi:
CSPCONS: A Communicating Sequential Prolog with Constraints. SETN 2002: 72-84 - [c11]Nick Bassiliades, Ioannis P. Vlahavas:
Intelligent Querying of Web Documents Using a Deductive XML Repository. SETN 2002: 437-448 - [e1]Ioannis P. Vlahavas, Constantine D. Spyropoulos:
Methods and Applications of Artificial Intelligence, Second Hellenic Conference on AI, SETN 2002. Thessaloniki, Greece, April 11-12, 2002, Proceedings. Lecture Notes in Computer Science 2308, Springer 2002, ISBN 3-540-43472-0 [contents] - 2001
- [j21]Ioannis Refanidis, Ioannis P. Vlahavas:
The GRT Planner. AI Mag. 22(3): 63-66 (2001) - [j20]Ioannis Refanidis, Ioannis P. Vlahavas:
The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning. J. Artif. Intell. Res. 15: 115-161 (2001) - [j19]Dimitris Vrakas, Ioannis Refanidis, Ioannis P. Vlahavas:
Parallel planning via the distribution of operators. J. Exp. Theor. Artif. Intell. 13(3): 211-226 (2001) - [c10]Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. Vlahavas:
A Knowledge Based Approach on Educational Metadata Use. Panhellenic Conference on Informatics 2001: 201-216 - 2000
- [j18]Ioannis Stamelos, Ioannis P. Vlahavas, Ioannis Refanidis, Alexis Tsoukiàs:
Knowledge based evaluation of software systems: a case study. Inf. Softw. Technol. 42(5): 333-345 (2000) - [j17]Nick Bassiliades, Ioannis P. Vlahavas, Ahmed K. Elmagarmid:
E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support. IEEE Trans. Knowl. Data Eng. 12(5): 824-844 (2000) - [c9]Ioannis Refanidis, Ioannis P. Vlahavas:
Exploiting State Constraints in Heuristic State-Space Planning. AIPS 2000: 363-370 - [c8]Ioannis Refanidis, Ioannis P. Vlahavas:
Heuristic Planning with Resources. ECAI 2000: 521-525 - [c7]Ioannis Refanidis, Ioannis P. Vlahavas:
The GRT Planner: New Results. Local Search for Planning and Scheduling 2000: 120-138
1990 – 1999
- 1999
- [j16]Ioannis P. Vlahavas, Ioannis Stamelos, Ioannis Refanidis, Alexis Tsoukiàs:
ESSE: an expert system for software evaluation. Knowl. Based Syst. 12(4): 183-197 (1999) - [j15]Ioannis P. Vlahavas, Petros Kefalas, Constantin Halatsis:
OASys: an AND/OR parallel logic programming system. Parallel Comput. 25(3): 321-336 (1999) - [j14]Panagiotis Linardis, Ioannis P. Vlahavas:
PARCIS: a robust parallel VLSI circuit simulator. Simul. Pract. Theory 7(1): 91-103 (1999) - [c6]Ioannis Refanidis, Ioannis P. Vlahavas:
GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables. ECP 1999: 347-359 - 1998
- [j13]Ioannis P. Vlahavas:
Exploiting and-or parallelism in Prolog: The OASys computational model and abstract architecture. J. Syst. Softw. 43(1): 45-57 (1998) - [c5]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:
System Architecture of a Distributed Expert System for the Management of a National Data Network. AIMSA 1998: 438-451 - 1997
- [j12]Nick Bassiliades, Ioannis P. Vlahavas:
Processing Production Rules in DEVICE, and Active Knowledge Base System. Data Knowl. Eng. 24(2): 117-155 (1997) - [j11]Nick Bassiliades, Ioannis P. Vlahavas:
DEVICE: Compiling production rules into event-driven rules using complex events. Inf. Softw. Technol. 39(5): 331-342 (1997) - 1996
- [j10]Nick Bassiliades, Ioannis P. Vlahavas:
Hierarchical Query Execution in a Parallel Object-Oriented Database System. Parallel Comput. 22(7): 1017-1048 (1996) - [c4]Petros Kefalas, Ioannis P. Vlahavas:
Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs. Euro-Par, Vol. I 1996: 694-703 - 1995
- [j9]Fotis Kokkoras, Ioannis P. Vlahavas:
Comfresh: A Common Framework for Expert Systems and Hypertext. Inf. Process. Manag. 31(4): 593-604 (1995) - [j8]Nick Bassiliades, Ioannis P. Vlahavas:
PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System. Inf. Sci. 86(1-3): 149-178 (1995) - [j7]Nick Bassiliades, Ioannis P. Vlahavas:
Constraint Checking in a Parallel Object-oriented Database System. Parallel Algorithms Appl. 5(1-2): 129-147 (1995) - [c3]Nick Bassiliades, Ioannis P. Vlahavas:
A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems. VLDB 1995: 370-381 - 1994
- [j6]Andreas S. Pombortsis, Ioannis P. Vlahavas:
A contribution to the problem of avoiding congestion in multistage networks in the presence of unbalanced traffic. J. Syst. Softw. 26(3): 273-284 (1994) - [c2]Nick Bassiliades, Ioannis P. Vlahavas:
Modelling Constraints with Exceptions in Object-Oriented Databases. ER 1994: 189-204 - 1993
- [j5]Andreas S. Pombortsis, Ioannis P. Vlahavas:
A novel flow control and switching strategy for preventing hotspot congestion in multistage networks. Microprocess. Microsystems 17(7): 403-410 (1993) - [c1]Andreas S. Pombortsis, Ioannis P. Vlahavas:
Flow control and switching strategy for preventing congestion in multistage networks. Architecture and Protocols for High-Speed Networks 1993: 69-86 - 1992
- [j4]Ioannis P. Vlahavas, Petros Kefalas:
An abstract prolog machine based on parallel resolution principle. Microprocess. Microprogramming 35(1-5): 755-762 (1992) - [j3]Ioannis P. Vlahavas, Petros Kefalas:
A parallel Prolog resolution based on multiple unifications. Parallel Comput. 18(11): 1275-1283 (1992)
1980 – 1989
- 1989
- [j2]Ioannis P. Vlahavas, Constantin Halatsis:
L-machine: A low-cost personal sequential inference machine. J. Syst. Softw. 9(3): 209-223 (1989) - 1987
- [j1]Ioannis P. Vlahavas, Constantin Halatsis:
A RISC prolog machine architecture. Microprocess. Microprogramming 21(1-5): 259-266 (1987)
Coauthor Index
[c102] [c94] [j79] [j76] [j72] [e5] [j70] [j68] [c78] [i3] [j59] [j57] [c67] [j52] [c57] [c53] [j49] [j47] [c49] [c48] [j45] [j42] [c43] [j41] [c38] [j38] [j37] [c33] [c30] [j35] [j33] [c28] [c25] [c22] [c21] [c20] [c19] [j25] [c18] [c17] [p1] [j24] [c11] [j17] [c5] [j12] [j11] [j10] [j8] [j7] [c3] [c2]
[c96] [c94] [j78] [c88] [c86] [i6] [j75] [j73] [c84] [c83] [j69] [c82] [c80] [j64] [c79] [c76] [c74] [i4] [j60] [c71] [c68] [i2] [j56] [j54] [j53] [c66] [c61] [c60] [c59] [c58] [j51] [j50] [c55] [c54] [p4] [j48] [j47] [c51] [c50] [c49] [p3] [p2] [e2] [j46] [j43] [j42] [c46] [c44] [c42] [c40] [j40] [c39] [c35] [c33] [c32] [j35] [j31] [c29] [c26] [j29] [c25] [c24] [c19] [c18] [c15]
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the dblp computer science bibliography is funded and supported by:
