Gabriele Tolomei

87 papers A* 6A 8B 5Misc 2Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counterfactual Explanations for Hypergraph Neural Networks. CoRR Fabiano Veglianti, Lorenzo Antonelli, Gabriele Tolomei
2026	—	`conf`	Countering Overfitting with Counterfactual Examples. KDD (1) Flavio Giorgi, Fabiano Veglianti, Fabrizio Silvestri, Gabriele Tolomei
2026	—	`conf`	From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems. ECIR (3) Vittoria Vineis, Gabriele Tolomei
2026	J	`jnl`	Home automation interoperability: two decades of lessons learned and future prospects into the development of IoT ecosystems. Internet Things Dario Russo, Vittorio Miori, Gabriele Tolomei, Dimitri Belli
2026	J	`jnl`	Joint Factual and Counterfactual Explanations for Top-k GNN-based Recommendations. Trans. Recomm. Syst. Ziheng Chen, Jin Huang, Fabrizio Silvestri, Yongfeng Zhang, Hongshik Ahn, Gabriele Tolomei
2026	J	`jnl`	PONTE: Personalized Orchestration for Natural Language Trustworthy Explanations. CoRR Vittoria Vineis, Matteo Silvestri, Lorenzo Antonelli, Filippo Betello, Gabriele Tolomei
2025	—	`conf`	1st International Workshop on Explainable AI and Knowledge Graphs (XAI-KG). ESWC-JP Claudia d'Amato, Valeria Fionda, Ilaria Tiddi, Gabriele Tolomei
2025	J	`jnl`	Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making. CoRR Vittoria Vineis, Giuseppe Perelli, Gabriele Tolomei
2025	J	`jnl`	COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations. CoRR Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Community Membership Hiding via Gradient-based Optimization. CoRR Matteo Silvestri, Edoardo Gabrielli, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. IEEE Trans. Artif. Intell. Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms. CoRR Domiziano Scarcelli, Filippo Betello, Giuseppe Perelli, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Enhancing XAI Narratives through Multi-Narrative Refinement and Knowledge Distillation. CoRR Flavio Giorgi, Matteo Silvestri, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Evading Overlapping Community Detection via Proxy Node Injection. CoRR Dario Loi, Matteo Silvestri, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Evaluating Latent Knowledge of Public Tabular Datasets in Large Language Models. CoRR Matteo Silvestri, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei
2025	A	`conf`	FROG: Fair Removal on Graph. CIKM Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun
2025	J	`jnl`	FROG: Fair Removal on Graphs. CoRR Ziheng Chen, Jiali Cheng, Gabriele Tolomei, Sijia Liu, Hadi Amiri, Yu Wang, Kaushiki Nag, Lu Lin
2025	J	`jnl`	Generalizability through Explainability: Countering Overfitting with Counterfactual Examples. CoRR Flavio Giorgi, Fabiano Veglianti, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	Generalizability vs. Counterfactual Explainability Trade-Off. CoRR Fabiano Veglianti, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei
2025	—	`ed.`	Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), Portorož, Slovenia, June 1-2, 2025. ESWC-JP Marta Sabou, Andreas Harth, Pasquale Lisena, Edward Curry, Bohui Zhang, Reham Alharbi, Yuan He, Georg Rehm, Sonja Schimmler, Stefan Dietze, Natalia Manola, Nicoletta Fornara, Víctor Rodríguez-Doncel, John Domingue, Achim Rettinger, Damian Trilling, Marko Grobelnik, Claudia d'Amato, Valeria Fionda, Ilaria Tiddi, Gabriele Tolomei
2025	A	`conf`	Natural Language Counterfactual Explanations for Graphs Using Large Language Models. AISTATS Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei
2025	J	`jnl`	One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection. CoRR Filippo Betello, Antonio Purificato, Vittoria Vineis, Gabriele Tolomei, Fabrizio Silvestri
2025	—	`conf`	Prompt-Tuning for Recommendation Unlearning. CAI Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei
2025	J	`jnl`	Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates. IEEE Trans. Inf. Forensics Secur. Edoardo Gabrielli, Dimitri Belli, Zoe Matrullo, Vittorio Miori, Gabriele Tolomei
2024	J	`jnl`	Debiasing Machine Unlearning with Counterfactual Examples. CoRR Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024	A*	`conf`	Evading Community Detection via Counterfactual Neighborhood Search. KDD Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei
2024	J	`jnl`	Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. IEEE Trans. Artif. Intell. Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn
2024	J	`jnl`	Natural Language Counterfactual Explanations for Graphs Using Large Language Models. CoRR Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri, Gabriele Tolomei
2024	—	`conf`	Robust Training of Sequential Recommender Systems with Missing Input Data. RobustRecSys@RecSys Federico Siciliano, Shoval Lagziel, Iftah Gamzu, Gabriele Tolomei
2024	J	`jnl`	Sparse Vicious Attacks on Graph Neural Networks. IEEE Trans. Artif. Intell. Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei
2024	J	`jnl`	∇ τ: Gradient-based and Task-Agnostic machine Unlearning. CoRR Daniel Trippa, Cesare Campagnano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2023	J	`jnl`	A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates. CoRR Gabriele Tolomei, Edoardo Gabrielli, Dimitri Belli, Vittorio Miori
2023	—	`conf`	A Novel Architectural Schema for Constant Monitoring and Assessment of Older Adults' Health Status at Home. PervasiveHealth Paolo Barsocchi, Dimitri Belli, Edoardo Gabrielli, Davide La Rosa, Vittorio Miori, Filippo Palumbo, Dario Russo, Gabriele Tolomei
2023	J	`jnl`	A Survey on Decentralized Federated Learning. CoRR Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei
2023	J	`jnl`	Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning. CoRR Andrea Bernini, Fabrizio Silvestri, Gabriele Tolomei
2023	A*	`conf`	FLIRT: Federated Learning for Information Retrieval. SIGIR Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini
2023	—	`conf`	Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CogMI Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini
2023	J	`jnl`	Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. CoRR Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini
2023	A*	`conf`	The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
2023	J	`jnl`	The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
2022	A	`conf`	CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. AISTATS Ana Lucic, Maartje A. ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri
2022	—	`conf`	ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing. AIxAS@AI*IA Dimitri Belli, Paolo Barsocchi, Edoardo Gabrielli, Davide La Rosa, Vittorio Miori, Filippo Palumbo, Dario Russo, Gabriele Tolomei
2022	J	`jnl`	Editorial: Human-Interpretable Machine Learning. Frontiers Big Data Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri
2022	J	`jnl`	GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei
2022	B	`conf`	ISIDE: Proactively Assist University Students at Risk of Dropout. IEEE Big Data Enrico Bassetti, Andrea Conti, Emanuele Panizzi, Gabriele Tolomei
2022	J	`jnl`	MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction. CoRR Gabriele Tolomei, Lorenzo Takanen, Fabio Pinelli
2022	B	`conf`	NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. IJCNN Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2022	A	`conf`	ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. CIKM Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei
2022	J	`jnl`	Sparse Vicious Attacks on Graph Neural Networks. CoRR Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei
2022	J	`jnl`	Turning Federated Learning Systems Into Covert Channels. IEEE Access Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei
2021	J	`jnl`	CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. CoRR Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri
2021	J	`jnl`	Covert Channel Attack to Federated Learning Systems. CoRR Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei
2021	J	`jnl`	Generating Actionable Interpretations from Ensembles of Decision Trees. IEEE Trans. Knowl. Data Eng. Gabriele Tolomei, Fabrizio Silvestri
2021	J	`jnl`	NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. CoRR Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
2021	J	`jnl`	ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. CoRR Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn
2020	J	`jnl`	Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery. IEEE Secur. Priv. Stefano Calzavara, Mauro Conti, Riccardo Focardi, Alvise Rabitti, Gabriele Tolomei
2020	J	`jnl`	Treant: training evasion-aware decision trees. Data Min. Knowl. Discov. Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
2019	A	`conf`	Adversarial Training of Gradient-Boosted Decision Trees. CIKM Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei
2019	A	`conf`	Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities. EuroS&P Stefano Calzavara, Mauro Conti, Riccardo Focardi, Alvise Rabitti, Gabriele Tolomei
2019	J	`jnl`	Treant: Training Evasion-Aware Decision Trees. CoRR Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando
2019	J	`jnl`	You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction. Int. J. Data Sci. Anal. Gabriele Tolomei, Mounia Lalmas, Ayman Farahat, Andrew Haines
2018	J	`jnl`	Advertising in the IoT Era: Vision and Challenges. IEEE Commun. Mag. Hidayet Aksu, Leonardo Babun, Mauro Conti, Gabriele Tolomei, A. Selcuk Uluagac
2018	J	`jnl`	Advertising in the IoT Era: Vision and Challenges. CoRR Hidayet Aksu, Leonardo Babun, Mauro Conti, Gabriele Tolomei, A. Selcuk Uluagac
2018	—	`conf`	Spot the Difference: Your Bucket is Leaking : A Novel Methodology to Expose A/B Testing Effortlessly. CNS Mauro Conti, Ankit Gangwal, Sarada Prasad Gochhayat, Gabriele Tolomei
2017	A*	`conf`	Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. KDD Gabriele Tolomei, Fabrizio Silvestri, Andrew Haines, Mounia Lalmas
2016	Misc	`conf`	Learning to Rank User Queries to Detect Search Tasks. ICTIR Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei
2015	J	`jnl`	A Supervised Learning Approach to Protect Client Authentication on the Web. ACM Trans. Web Stefano Calzavara, Gabriele Tolomei, Andrea Casini, Michele Bugliesi, Salvatore Orlando
2015	A*	`conf`	Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. KDD Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri, Gabriele Tolomei
2014	A*	`conf`	Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication. WWW Stefano Calzavara, Gabriele Tolomei, Michele Bugliesi, Salvatore Orlando
2013	J	`jnl`	Discovering tasks from search engine query logs. ACM Trans. Inf. Syst. Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2013	—	`conf`	Modeling and predicting the task-by-task behavior of search engine users. OAIR Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2013	—	`conf`	SEED: a framework for extracting social events from press news. WWW (Companion Volume) Salvatore Orlando, Francesco Pizzolon, Gabriele Tolomei
2013	—	`conf`	Trending Topics on Twitter Improve the Prediction of Google Hot Queries. SocialCom Federica Giummolè, Salvatore Orlando, Gabriele Tolomei
2013	—	`conf`	Twitter anticipates bursts of requests for Wikipedia articles. DUBMOD@CIKM Gabriele Tolomei, Salvatore Orlando, Diego Ceccarelli, Claudio Lucchese
2013	B	`conf`	Using Clustering to Improve the Structure of Natural Language Requirements Documents. REFSQ Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei
2012	Misc	`conf`	A clustering-based approach for discovering flaws in requirements specifications. SAC Alessio Ferrari, Stefania Gnesi, Gabriele Tolomei
2012	B	`conf`	Automatic Analysis of Multimodal Requirements: A Research Preview. REFSQ Elia Bruni, Alessio Ferrari, Norbert Seyff, Gabriele Tolomei
2012	—	`—`	Enhancing web search user experience : from document retrieval to task recommendation. Gabriele Tolomei
2011	J	`jnl`	Discovering Europeana Users' Search Behavior. ERCIM News Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Gabriele Tolomei
2011	A	`conf`	Identifying task-based sessions in search engine query logs. WSDM Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2011	B	`conf`	Improving Europeana Search Experience Using Query Logs. TPDL Diego Ceccarelli, Sergiu Gordea, Claudio Lucchese, Franco Maria Nardini, Gabriele Tolomei
2010	—	`conf`	Detecting Task-Based Query Sessions Using Collaborative Knowledge. Web Intelligence/IAT Workshops Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Gabriele Tolomei
2010	—	`conf`	Towards a task-based search and recommender systems. ICDE Workshops Gabriele Tolomei, Salvatore Orlando, Fabrizio Silvestri
2009	—	`conf`	Challenges in designing an interest-based distributed aggregation of users in P2P systems. ICUMT Matteo Mordacchini, Patrizio Dazzi, Gabriele Tolomei, Ranieri Baraglia, Fabrizio Silvestri, Salvatore Orlando
2009	A	`conf`	Search the web x.0: mining and recommending web-mediated processes. RecSys Gabriele Tolomei
2008	J	`jnl`	SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience. ERCIM News Domenico Laforenza, Franco Maria Nardini, Fabrizio Silvestri, Gabriele Tolomei
2006	J	`jnl`	An open standard solution for domotic interoperability. IEEE Trans. Consumer Electron. Vittorio Miori, Luca Tarrini, Maurizio Manca, Gabriele Tolomei