Ioannis P. Vlahavas

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 56

Top Venues

Publications

Ioannis Pierros, Vasileios Kochliaridis, Eirini Apostolidou, Eleni Delimpasi, Vasileios Zygouris, Ioannis P. Vlahavas
Predictive Maintenance Under Absence of Sensor Data. AIAI (2) (2024)
Vasilis Kochliaridis, Anastasia Papadopoulou, Ioannis P. Vlahavas
UNSURE - A machine learning approach to cryptocurrency trading. Appl. Intell. 54 (7) (2024)
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) (2024)
Eleftherios Kouloumpris, Konstantinos Moutsianas, Ioannis P. Vlahavas
SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. Expert Syst. Appl. 249 (2024)
Dimitrios Zaikis, Ioannis P. Vlahavas
From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning. IEEE Access 11 (2023)
Achilleas Chytas, Nick Bassiliades, Ioannis P. Vlahavas, Pantelis Natsiavas
Towards a Systems Pharmacology Ontology: the use of state-machines paradigm. SWAT4HCLS (2023)
George Liapis, Katerina Zacharia, Kejsi Rrasa, Ioannis P. Vlahavas
Serious Escape Room Game for Personality Assessment. GALA (2023)
Vasileios Moschopoulos, Pantelis Kyriakidis, Aristotelis Lazaridis, Ioannis P. Vlahavas
Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning. CoRR (2023)
Georgios Liapis, Loukritira Stefanou, Ioannis P. Vlahavas
Classifying Intelligence Tests Patterns Using Machine Learning Methods. ICPRAM (2023)
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)
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)
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) (2023)
Aristotelis Lazaridis, Ioannis P. Vlahavas
REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents. Neurocomputing 497 (2022)
Ioannis Almalis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
Sector-level sentiment analysis with deep learning. Knowl. Based Syst. 258 (2022)
Ioannis Pierros, Ioannis P. Vlahavas
Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. ICANN (3) (2022)
Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas
Transforming Drug-Drug Interaction Extraction from Biomedical Literature. SETN (2022)
Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. AIAI (1) (2022)
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)
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)
Ioannis P. Pierros, Eleftherios Kouloumpris, Dimitrios Zaikis, Ioannis P. Vlahavas
Retail Demand Forecasting for 1 Million Products. ISDA (1) (2022)
Nikolaos Stylianou, Ioannis P. Vlahavas
CoreLM: Coreference-aware Language Model Fine-Tuning. CoRR (2021)
Nikolaos Stylianou, Ioannis P. Vlahavas
TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature. J. Biomed. Informatics 117 (2021)
Aristotelis Lazaridis, Ioannis P. Vlahavas
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents. CoRR (2021)
Nikolaos Stylianou, Ioannis P. Vlahavas
A neural Entity Coreference Resolution review. Expert Syst. Appl. 168 (2021)
Nikolaos Stylianou, Panagiotis Kosmoliaptsis, Ioannis P. Vlahavas
Improved Biomedical Entity Recognition via Longer Context Modeling. AIAI (2021)
Dimitrios Zaikis, Ioannis P. Vlahavas
TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions. Artif. Intell. Medicine 119 (2021)
Dimitrios Zaikis, Ioannis P. Vlahavas
Drug-Drug Interaction Classification Using Attention Based Neural Networks. SETN (2020)
Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
LionForests: local interpretation of random forests. NeHuAI@ECAI (2020)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
Multi-target regression via output space quantization. IJCNN (2020)
Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas
Deep Reinforcement Learning: A State-of-the-Art Walkthrough. J. Artif. Intell. Res. 69 (2020)
Nikolaos Stylianou, Ioannis P. Vlahavas
E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. CoRR (2020)
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)
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 (2020)
Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas
Multi-target regression via output space quantization. CoRR (2020)
Nikolaos Stylianou, Ioannis P. Vlahavas
A Neural Entity Coreference Resolution Review. CoRR (2019)
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
Multi-target feature selection through output space clustering. ESANN (2019)
Olga Tsave, Ioannis Kavakiotis, Konstantinos 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)
Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas
Information Theoretic Multi-Target Feature Selection via Output Space Quantization. Entropy 21 (9) (2019)
Dimitrios Michailidis, Nikolaos Stylianou, Ioannis P. Vlahavas
Real Time Location Based Sentiment Analysis on Twitter: The AirSent System. SETN (2018)
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 (2018)
Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
Learning to Teach Reinforcement Learning Agents. CoRR (2017)
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 (2017)
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)
Konstantinos 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)
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) (2017)
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 (2017)
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)
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 (2017)
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) (2016)
Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas
Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN (2016)
Stathis B. Mavridopoulos, Petros Nicopolitidis, Olga Tsave, Athanasios Salifoglou, Ioannis P. Vlahavas
A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis. NANOCOM (2016)
Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data. SETN (2016)
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) (2016)
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) (2016)
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) (2016)
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) (2015)
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)
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)
Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23 (1) (2015)
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 (2015)
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)
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas
Dynamic ensemble pruning based on multi-label classification. Neurocomputing 150 (2015)
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)
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) (2014)
Ioannis Kavakiotis, Alexandros Triantafyllidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
Feature Evaluation Metrics for Population Genomic Data. SETN (2014)
Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
Multi-Target Regression via Random Linear Target Combinations. CoRR (2014)
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 (2014)
George A. Tsihrintzis, Themis Panayiotopoulos, Ioannis P. Vlahavas, Sotiris G. Ziavras
Editorial. Int. J. Artif. Intell. Tools 23 (4) (2014)
Thanos G. Stavropoulos, Stelios Andreadis, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services. CoRR (2014)
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) (2014)
Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
Multi-target Regression via Random Linear Target Combinations. ECML/PKDD (3) (2014)
Eleftherios Spyromitros Xioufis, Symeon Papadopoulos, Yiannis Kompatsiaris, Ioannis P. Vlahavas
SocialSensor: Finding Diverse Images at MediaEval 2014. MediaEval (2014)
Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN (2014)
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)
Thanos G. Stavropoulos, Konstantinos Gottis, Dimitris Vrakas, Ioannis P. Vlahavas
aWESoME: A web service middleware for ambient intelligence. Expert Syst. Appl. 40 (11) (2013)
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)
Christos Liaskos, George Koutitas, Ioannis P. Vlahavas
A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks. Int. J. Interact. Mob. Technol. 7 (3) (2013)
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)
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) (2013)
Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas
Iridescent: a tool for rapid semantic annotation of web service descriptions. WIMS (2013)
Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
Transferring task models in Reinforcement Learning agents. Neurocomputing 107 (2013)
Thanos G. Stavropoulos, Dimitris Vrakas, Ioannis P. Vlahavas
A survey of service composition in ambient intelligence environments. Artif. Intell. Rev. 40 (3) (2013)
Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas
Large-Scale Semantic Indexing of Biomedical Publications. BioASQ@CLEF (2013)
Georgios Meditskos, Nick Bassiliades, Dimitris Vrakas, Ioannis P. Vlahavas
IRISPortal: a semantic portal for industrial risk cases management. WIMS (2012)
Christos K. Liaskos, George C. Koutitas, Ioannis P. Vlahavas
Virtual laboratories on wireless communications: A contemporary, extensible approach. EDUCON (2012)
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) (2012)
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)
Eleftherios Spyromitros Xioufis, William Groves, Grigorios Tsoumakas, Ioannis P. Vlahavas
Multi-Label Classification Methods for Multi-Target Regression CoRR (2012)
George Tzanis, Christos Berberidis, Ioannis P. Vlahavas
StackTIS: A stacked generalization approach for effective prediction of translation initiation sites. Comput. Biol. Medicine 42 (1) (2012)
Kyriakos C. Chatzidimitriou, Ioannis Partalas, Pericles A. Mitkas, Ioannis P. Vlahavas
Transferring Evolved Reservoir Features in Reinforcement Learning Tasks. EWRL (2011)
Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
Transferring Models in Hybrid Reinforcement Learning Agents. EANN/AIAI (1) (2011)
Grigorios Tsoumakas, Ioannis Katakis, Ioannis P. Vlahavas
Random k-Labelsets for Multilabel Classification. IEEE Trans. Knowl. Data Eng. 23 (7) (2011)
Thanos G. Stavropoulos, Dimitris Vrakas, Alexandros Arvanitidis, Ioannis P. Vlahavas
A System for Energy Savings in an Ambient Intelligence Environment. ICT-GLOW (2011)
Georgios Boutsioukis, Ioannis Partalas, Ioannis P. Vlahavas
Transfer Learning in Multi-Agent Reinforcement Learning Domains. EWRL (2011)
Ioannis Refanidis, Ioannis P. Vlahavas
The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning CoRR (2011)
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) (2011)
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)
Konstantinos Trohidis, Grigorios Tsoumakas, George Kalliris, Ioannis P. Vlahavas
Multi-label classification of music by emotion. EURASIP J. Audio Speech Music. Process. 2011 (2011)
Konstantinos Sechidis, Grigorios Tsoumakas, Ioannis P. Vlahavas
On the Stratification of Multi-label Data. ECML/PKDD (3) (2011)

Ioannis P. Vlahavas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ioannis P. Vlahavas