| 2026 | ECIR | From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems. | Vittoria Vineis, Gabriele Tolomei |
| 2026 | KDD | Countering Overfitting with Counterfactual Examples. | Flavio Giorgi, Fabiano Veglianti, Fabrizio Silvestri, Gabriele Tolomei |
| 2025 | AISTATS | Natural Language Counterfactual Explanations for Graphs Using Large Language Models. | Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei |
| 2025 | CIKM | FROG: Fair Removal on Graph. | Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun |
| 2024 | KDD | Evading Community Detection via Counterfactual Neighborhood Search. | Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei |
| 2023 | SIGIR | The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. | Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei |
| 2023 | SIGIR | FLIRT: Federated Learning for Information Retrieval. | Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini |
| 2022 | AISTATS | CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. | Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri |
| 2022 | CIKM | ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. | Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei |
| 2022 | IJCNN | NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. | Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri |
| 2019 | CIKM | Adversarial Training of Gradient-Boosted Decision Trees. | Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei |
| 2017 | KDD | Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. | Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas |
| 2016 | ICTIR | Learning to Rank User Queries to Detect Search Tasks. | Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei |
| 2015 | KDD | Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. | Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri, Gabriele Tolomei |
| 2014 | WWW | Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication. | Stefano Calzavara, Gabriele Tolomei, Michele Bugliesi, Salvatore Orlando |
| 2013 | CIKM | Twitter anticipates bursts of requests for Wikipedia articles. | Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese |
| 2013 | WWW | SEED: a framework for extracting social events from press news. | Salvatore Orlando, Francesco Pizzolon, Gabriele Tolomei |
| 2013 | REFSQ | Using Clustering to Improve the Structure of Natural Language Requirements Documents. | Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei |
| 2012 | SAC | A clustering-based approach for discovering flaws in requirements specifications. | Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei |
| 2012 | REFSQ | Automatic Analysis of Multimodal Requirements: A Research Preview. | Elia Bruni, Alessio Ferrari, Norbert Seyff, Gabriele Tolomei |
| 2011 | WSDM | Identifying task-based sessions in search engine query logs. | Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei |
| 2010 | ICDE | Towards a task-based search and recommender systems. | Gabriele Tolomei, Salvatore Orlando, Fabrizio Silvestri |
| 2009 | RecSys | Search the web x.0: mining and recommending web-mediated processes. | Gabriele Tolomei |