Ioannis P. Vlahavas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
23
Active years
1994–2025
Best venue rank
A*
Where they publish
- AECAI9 papers
- BICTAI4 papers
- BICAART2 papers
- CICANN2 papers
- NationalAIMSA2 papers
- BICPR1 paper
- CEANN1 paper
- CICPRAM1 paper
- CINISTA1 paper
- CISDA1 paper
- BIJCNN1 paper
- BESANN1 paper
- CEDUCON1 paper
- A*IJCAI1 paper
- CISMIS1 paper
- CCBMI1 paper
- CBIBE1 paper
- MulticonferenceICCS1 paper
- CAICCSA1 paper
- A*WWW1 paper
- BEuroPar1 paper
- A*VLDB1 paper
- AER1 paper
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | Learning to InMoov: A Deep Learning Approach to Modeling Human Hand. | Vasileios Kochliaridis, Chrysoula Moschou, Alexandra Dimitrakopoulou, Ioannis P. Vlahavas |
| 2025 | ICAART | Scaling Multi-Frame Transformers for End-to-End Driving. | Vasileios Kochliaridis, Filippos Moumtzidellis, Ioannis P. Vlahavas |
| 2025 | ICAART | Temporal Fusion Transformers for Autonomous Driving. | Vasileios Kochliaridis, Filippos Moumtzidellis, Ioannis P. Vlahavas |
| 2024 | ICPR | ViT | Vasileios Kochliaridis, Ioannis Pierros, Georgios Romanos, Ioannis P. Vlahavas |
| 2023 | EANN | DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. | Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas |
| 2023 | ICPRAM | Classifying Intelligence Tests Patterns Using Machine Learning Methods. | Georgios Liapis, Loukritira Stefanou, Ioannis P. Vlahavas |
| 2022 | ICANN | Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting. | Ioannis Pierros, Ioannis P. Vlahavas |
| 2022 | INISTA | AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold'em Poker Video Game. | Aristotelis Lazaridis, Christos Perchanidis, Doxakis Chovardas, Ioannis P. Vlahavas |
| 2022 | ISDA | Retail Demand Forecasting for 1 Million Products. | Ioannis P. Pierros, Eleftherios Kouloumpris, Dimitrios Zaikis, Ioannis P. Vlahavas |
| 2020 | ECAI | LionForests: local interpretation of random forests. | Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas |
| 2020 | IJCNN | Multi-target regression via output space quantization. | Eleftherios Spyromitros Xioufis, Konstantinos Sechidis, Ioannis P. Vlahavas |
| 2019 | ESANN | Multi-target feature selection through output space clustering. | Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas |
| 2012 | EDUCON | Virtual laboratories on wireless communications: A contemporary, extensible approach. | Christos K. Liaskos, George C. Koutitas, Ioannis P. Vlahavas |
| 2011 | IJCAI | Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification. | Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2011 | ISMIS | Multi-label Learning Approaches for Music Instrument Recognition. | Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2010 | ICANN | System Architecture for a Smart University Building. | Thanos G. Stavropoulos, Ageliki Tsioliaridou, George Koutitas, Dimitris Vrakas, Ioannis P. Vlahavas |
| 2010 | ICTAI | Obtaining Bipartitions from Score Vectors for Multi-Label Classification. | Marios Ioannou, George Sakkas, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2010 | ICTAI | Instance-Based Ensemble Pruning via Multi-Label Classification. | Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2009 | CBMI | An Empirical Study of Multi-label Learning Methods for Video Annotation. | Anastasios Dimou, Grigorios Tsoumakas, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis P. Vlahavas |
| 2008 | BIBE | Polyadenylation site prediction using interesting emerging patterns. | George Tzanis, Ioannis Kavakiotis, Ioannis P. Vlahavas |
| 2008 | ECAI | An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. | Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2008 | ECAI | Reinforcement Learning with Classifier Selection for Focused Crawling. | Ioannis Partalas, Georgios Paliouras, Ioannis P. Vlahavas |
| 2008 | ECAI | Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. | Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2007 | ICCS | Cooperative CG-Wrappers for Web Content Extraction. | Fotis Kokkoras, Nick Bassiliades, Ioannis P. Vlahavas |
| 2007 | ICTAI | Multi-agent Reinforcement Learning Using Strategies and Voting. | Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas |
| 2007 | ICTAI | Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression. | George Tzanis, Ioannis P. Vlahavas |
| 2006 | AICCSA | Software Defect Prediction Using Regression via Classification. | Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamelos, Ioannis P. Vlahavas |
| 2004 | ECAI | Lazy Adaptive Multicriteria Planning. | Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis P. Vlahavas |
| 2003 | WWW | Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System. | Nick Bassiliades, Ioannis P. Vlahavas |
| 2002 | AIMSA | A Heuristic for Planning Based on Action Evaluation. | Dimitris Vrakas, Ioannis P. Vlahavas |
| 2002 | ECAI | Multiple and Partial Periodicity Mining in Time Series Databases. | Christos Berberidis, Walid G. Aref, Mikhail J. Atallah, Ioannis P. Vlahavas, Ahmed K. Elmagarmid |
| 2002 | ECAI | Effective Stacking of Distributed Classifiers. | Grigorios Tsoumakas, Ioannis P. Vlahavas |
| 2000 | ECAI | Heuristic Planning with Resources. | Ioannis Refanidis, Ioannis P. Vlahavas |
| 1998 | AIMSA | System Architecture of a Distributed Expert System for the Management of a National Data Network. | Ioannis P. Vlahavas, Nick Bassiliades, Ilias Sakellariou, Martn Molina, Sascha Ossowski, Ivan Fut, Zoltn Psztor, Jnos Szeredi, Igor Velbitskiy, Sergey Yershov, Sergey Golub, Igor Netesin |
| 1996 | EuroPar | Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs. | Petros Kefalas, Ioannis P. Vlahavas |
| 1995 | VLDB | A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems. | Nick Bassiliades, Ioannis P. Vlahavas |
| 1994 | ER | Modelling Constraints with Exceptions in Object-Oriented Databases. | Nick Bassiliades, Ioannis P. Vlahavas |