| 2021 | RecSys | Juggler: Multi-Stakeholder Ranking with Meta-Learning. | Tiago Cunha, Ioannis Partalas, Phong Nguyen |
| 2017 | IJCAI | Detecting Influencial Users in Social Networks: Analysing Graph-Based and Linguistic Perspectives. | Kvin Deturck, Namrata Patel, Pierre-Alain Avouac, Cdric Lopez, Damien Nouvel, Ioannis Partalas, Frdrique Segond |
| 2015 | BPM | Learning semantic models from event logs. | Vasiliki Sfyrla, Ioannis Partalas, Richard Yann, Sebastian Maunoury |
| 2015 | ECIR | BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. | Georgios Balikas, Anastasia Krithara, Ioannis Partalas, George Paliouras |
| 2015 | IDA | Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data. | Georgios Balikas, Ioannis Partalas, ric Gaussier, Rohit Babbar, Massih-Reza Amini |
| 2015 | IDA | On Binary Reduction of Large-Scale Multiclass Classification Problems. | Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, ric Gaussier |
| 2014 | SIGIR | Re-ranking approach to classification in large-scale power-law distributed category systems. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2014 | WSDM | Web-scale classification: web classification in the big data era. | Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artires, Patrick Gallinari, ric Gaussier, Georgios Paliouras |
| 2013 | ICONIP | Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Massih-Reza Amini |
| 2012 | CIKM | On empirical tradeoffs in large scale hierarchical classification. | Rohit Babbar, Ioannis Partalas, ric Gaussier, Ccile Amblard |
| 2012 | ICONIP | Adaptive Classifier Selection in Large-Scale Hierarchical Classification. | Ioannis Partalas, Rohit Babbar, ric Gaussier, Ccile Amblard |
| 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 | ICTAI | Multi-agent Reinforcement Learning Using Strategies and Voting. | Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlahavas |