Education
Postdoc in Computer Science, 2009
ISTI-CNR, Pisa, Italy
PhD in Computer Science, 2004
University of Pisa, Italy
MSc in Computer Science, 2000
University of Pisa, Italy
Publications
(2025).
COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations.
CoRR.
(2025).
Community Membership Hiding via Gradient-based Optimization.
CoRR.
(2025).
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence.
IEEE Trans. Artif. Intell..
(2025).
Generalizability through Explainability: Countering Overfitting with Counterfactual Examples.
CoRR.
(2024).
(∇) (τ): Gradient-based and Task-Agnostic machine Unlearning.
CoRR.
(2024).
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR.
(2024).
Evading Community Detection via Counterfactual Neighborhood Search.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024.
(2024).
Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent.
IEEE Trans. Artif. Intell..
(2024).
Sparse Vicious Attacks on Graph Neural Networks.
IEEE Trans. Artif. Intell..
(2023).
Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning.
CoRR.
(2023).
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models.
5th IEEE International Conference on Cognitive Machine Intelligence, CogMI 2023, Atlanta, GA, USA, November 1-4, 2023.
(2023).
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models.
CoRR.
(2023).
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023.
(2023).
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.
CoRR.
(2022).
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks.
International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event.
(2022).
Editorial: Human-Interpretable Machine Learning.
Frontiers Big Data.
(2022).
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
CoRR.
(2022).
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.
International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022.
(2022).
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022.
(2022).
Sparse Vicious Attacks on Graph Neural Networks.
CoRR.
(2021).
Generating Actionable Interpretations from Ensembles of Decision Trees.
IEEE Trans. Knowl. Data Eng..
(2021).
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks.
CoRR.
(2021).
ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models.
CoRR.
(2017).
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017.
(2015).
Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015.
(2013).
Discovering tasks from search engine query logs.
ACM Trans. Inf. Syst..
(2013).
Modeling and predicting the task-by-task behavior of search engine users.
Open research Areas in Information Retrieval, OAIR 2013, Lisbon, Portugal, May 15-17, 2013.
(2011).
Identifying task-based sessions in search engine query logs.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011.
(2010).
Detecting Task-Based Query Sessions Using Collaborative Knowledge.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31 - September 3, 2010.
(2010).
Towards a task-based search and recommender systems.
Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA.
(2009).
Challenges in designing an interest-based distributed aggregation of users in P2P systems.
Proceedings of the International Conference on Ultra Modern Telecommunications, ICUMT 2009, 12-14 October 2009, St. Petersburg, Russia.
(2008).
SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience.
ERCIM News.