| 2026 | ACL | How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs. | Shivam Adarsh, Maria Maistro, Christina Lioma |
| 2026 | ACL | Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation. | Tianyi Hu, Andrea Morales-Garzn, Jingyi Zheng, Maria Maistro, Daniel Hershcovich |
| 2026 | ECIR | Post-training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation. | Ervin Dervishaj, Maria Maistro, Tuukka Ruotsalo, Christina Lioma |
| 2026 | ECIR | Measuring Individual User Fairness with User Similarity and Effectiveness Disparity. | Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma |
| 2025 | ACL | Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attributions Explainability. | Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maale, Maria Maistro |
| 2025 | ACL | A Reality Check on Context Utilisation for Retrieval-Augmented Generation. | Lovisa Hagstrm, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein |
| 2025 | ECIR | Feature Attribution Explanations of Session-Based Recommendations. | Simone Borg Bruun, Maria Maistro, Christina Lioma |
| 2025 | ECIR | Are Representation Disentanglement and Interpretability Linked in Recommendation Models? - A Critical Review and Reproducibility Study. | Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma |
| 2025 | ECIR | Eval4RAG: Workshop on Evaluation of Retrieval-Augmented Generation Systems. | Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro, Mohammad Aliannejadi |
| 2025 | ICMI | Decoding Affective States without Labels: Bimodal Image-brain Supervision. | Vadym Gryshchuk, Maria Maistro, Christina Lioma, Tuukka Ruotsalo |
| 2025 | NAACL | As easy as PIE: understanding when pruning causes language models to disagree. | Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma |
| 2025 | RecSys | Stairway to Fairness: Connecting Group and Individual Fairness. | Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, Christina Lioma |
| 2025 | RecSys | "We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research. | Faisal Shehzad, Timo Breuer, Maria Maistro, Dietmar Jannach |
| 2025 | WWW | Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. | Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma |
| 2025 | SIGIR | An EEG Dataset of Word-level Brain Responses for Semantic Text Relevance. | Vadym Gryshchuk, Michiel M. A. Spap, Maria Maistro, Christina Lioma, Tuukka Ruotsalo |
| 2024 | EMNLP | An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. | Joakim Edin, Maria Maistro, Lars Maale, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo |
| 2024 | EMNLP | Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval. | Tianyi Hu, Maria Maistro, Daniel Hershcovich |
| 2024 | EMNLP | DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. | Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein |
| 2024 | SIGIR | Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. | Simone Borg Bruun, Krisztian Balog, Maria Maistro |
| 2024 | SIGIR | Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. | Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma |
| 2023 | ECIR | Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. | Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro |
| 2023 | SIGIR | ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. | Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini |
| 2023 | SIGIR | Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. | Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maale |
| 2022 | RecSys | Learning Recommendations from User Actions in the Item-poor Insurance Domain. | Simone Borg Bruun, Maria Maistro, Christina Lioma |
| 2021 | CIKM | Principled Multi-Aspect Evaluation Measures of Rankings. | Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma |
| 2021 | ECIR | repro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments. | Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer |
| 2021 | ECIR | Multi-head Self-attention with Role-Guided Masks. | Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma |
| 2020 | SIGIR | How to Measure the Reproducibility of System-oriented IR Experiments. | Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff |
| 2019 | ECIR | CENTRE@CLEF 2019. | Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff |
| 2018 | CIKM | Continuation Methods and Curriculum Learning for Learning to Rank. | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2018 | WWW | A Gamified Approach to Nave Bayes Classification: A Case Study for Newswires and Systematic Medical Reviews. | Giorgio Maria Di Nunzio, Maria Maistro, Federica Vezzani |
| 2017 | ICTIR | LEARning Next gEneration Rankers (LEARNER 2017). | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2017 | SIGIR | On Including the User Dynamic in Learning to Rank. | Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego |
| 2017 | SIGIR | Understanding User Behavior in Job and Talent Search: An Initial Investigation. | Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel |
| 2017 | WSDM | Adapting Information Retrieval to User Signals via Stochastic Models. | Maria Maistro |
| 2016 | SIGIR | Gamification for Machine Learning: The Classification Game. | Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio |
| 2015 | ICTIR | Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness. | Marco Ferrante, Nicola Ferro, Maria Maistro |
| 2014 | SIGIR | Injecting user models and time into precision via Markov chains. | Marco Ferrante, Nicola Ferro, Maria Maistro |