An open standard solution for domotic interoperability. - Vittorio Miori; Luca Tarrini; Maurizio Manca; Gabriele Tolomei (IEEE Trans. Consumer Electron., 2006)

SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience. - Domenico Laforenza; Franco Maria Nardini; Fabrizio Silvestri; Gabriele Tolomei (ERCIM News, 2008)

Challenges in designing an interest-based distributed aggregation of users in P2P systems. - Matteo Mordacchini; Patrizio Dazzi; Gabriele Tolomei; Ranieri Baraglia; Fabrizio Silvestri; Salvatore Orlando 001 (ICUMT, 2009)

Search the web x.0: mining and recommending web-mediated processes. - Gabriele Tolomei (RecSys, 2009)

Detecting Task-Based Query Sessions Using Collaborative Knowledge. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (Web Intelligence/IAT Workshops, 2010)

Towards a task-based search and recommender systems. - Gabriele Tolomei; Salvatore Orlando 001; Fabrizio Silvestri (ICDE Workshops, 2010)

Improving Europeana Search Experience Using Query Logs. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Gabriele Tolomei (TPDL, 2011)

Identifying task-based sessions in search engine query logs. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (WSDM, 2011)

Discovering Europeana Users' Search Behavior. - Diego Ceccarelli; Sergiu Gordea; Claudio Lucchese; Franco Maria Nardini; Raffaele Perego 001; Gabriele Tolomei (ERCIM News, 2011)

Automatic Analysis of Multimodal Requirements: A Research Preview. - Elia Bruni; Alessio Ferrari 001; Norbert Seyff; Gabriele Tolomei (REFSQ, 2012)

A clustering-based approach for discovering flaws in requirements specifications. - Alessio Ferrari 001; Stefania Gnesi; Gabriele Tolomei (SAC, 2012)

Enhancing web search user experience : from document retrieval to task recommendation. - Gabriele Tolomei (2012)

Twitter anticipates bursts of requests for Wikipedia articles. - Gabriele Tolomei; Salvatore Orlando 001; Diego Ceccarelli; Claudio Lucchese (DUBMOD@CIKM, 2013)

Using Clustering to Improve the Structure of Natural Language Requirements Documents. - Alessio Ferrari 001; Stefania Gnesi; Gabriele Tolomei (REFSQ, 2013)

Modeling and predicting the task-by-task behavior of search engine users. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (OAIR, 2013)

Trending Topics on Twitter Improve the Prediction of Google Hot Queries. - Federica Giummolè; Salvatore Orlando 001; Gabriele Tolomei (SocialCom, 2013)

SEED: a framework for extracting social events from press news. - Salvatore Orlando 001; Francesco Pizzolon; Gabriele Tolomei (WWW (Companion Volume), 2013)

Discovering tasks from search engine query logs. - Claudio Lucchese; Salvatore Orlando 001; Raffaele Perego 001; Fabrizio Silvestri; Gabriele Tolomei (ACM Trans. Inf. Syst., 2013)

Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication. - Stefano Calzavara; Gabriele Tolomei; Michele Bugliesi; Salvatore Orlando 001 (WWW, 2014)

Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users. - Mounia Lalmas; Janette Lehmann; Guy Shaked; Fabrizio Silvestri; Gabriele Tolomei (KDD, 2015)

A Supervised Learning Approach to Protect Client Authentication on the Web. - Stefano Calzavara; Gabriele Tolomei; Andrea Casini; Michele Bugliesi; Salvatore Orlando 001 (ACM Trans. Web, 2015)

Learning to Rank User Queries to Detect Search Tasks. - Claudio Lucchese; Franco Maria Nardini; Salvatore Orlando 001; Gabriele Tolomei (ICTIR, 2016)

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking. - Gabriele Tolomei; Fabrizio Silvestri; Andrew Haines; Mounia Lalmas (KDD, 2017)

Spot the Difference: Your Bucket is Leaking : A Novel Methodology to Expose A/B Testing Effortlessly. - Mauro Conti; Ankit Gangwal; Sarada Prasad Gochhayat; Gabriele Tolomei (CNS, 2018)

Advertising in the IoT Era: Vision and Challenges. - Hidayet Aksu; Leonardo Babun; Mauro Conti; Gabriele Tolomei; A. Selcuk Uluagac (IEEE Commun. Mag., 2018)

Adversarial Training of Gradient-Boosted Decision Trees. - Stefano Calzavara; Claudio Lucchese; Gabriele Tolomei (CIKM, 2019)

Mitch: A Machine Learning Approach to the Black-Box Detection of CSRF Vulnerabilities. - Stefano Calzavara; Mauro Conti; Riccardo Focardi; Alvise Rabitti; Gabriele Tolomei (EuroS&P, 2019)

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. - Gabriele Tolomei; Mounia Lalmas; Ayman Farahat; Andrew Haines (Int. J. Data Sci. Anal., 2019)

Treant: training evasion-aware decision trees. - Stefano Calzavara; Claudio Lucchese; Gabriele Tolomei; Seyum Assefa Abebe; Salvatore Orlando 001 (Data Min. Knowl. Discov., 2020)

Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery. - Stefano Calzavara; Mauro Conti; Riccardo Focardi; Alvise Rabitti; Gabriele Tolomei (IEEE Secur. Priv., 2020)

Covert Channel Attack to Federated Learning Systems. - Gabriele Costa 001; Fabio Pinelli; Simone Soderi; Gabriele Tolomei (CoRR, 2021)

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models. - Ziheng Chen 002; Fabrizio Silvestri; Gabriele Tolomei; He Zhu 001; Jia Wang 009; Hongshik Ahn (CoRR, 2021)

Generating Actionable Interpretations from Ensembles of Decision Trees. - Gabriele Tolomei; Fabrizio Silvestri (IEEE Trans. Knowl. Data Eng., 2021)

ChAALenge: An Ambient Assisted Living Project to Promote an Active and Health Ageing. - Dimitri Belli; Paolo Barsocchi; Edoardo Gabrielli; Davide La Rosa; Vittorio Miori; Filippo Palumbo; Dario Russo; Gabriele Tolomei (AIxAS@AI*IA, 2022)

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. - Ana Lucic; Maartje A. ter Hoeve; Gabriele Tolomei; Maarten de Rijke; Fabrizio Silvestri (AISTATS, 2022)

ISIDE: Proactively Assist University Students at Risk of Dropout. - Enrico Bassetti; Andrea Conti 003; Emanuele Panizzi; Gabriele Tolomei (IEEE Big Data, 2022)

ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; He Zhu 001; Hongshik Ahn; Gabriele Tolomei (CIKM, 2022)

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. - Federico Siciliano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (IJCNN, 2022)

Turning Federated Learning Systems Into Covert Channels. - Gabriele Costa 001; Fabio Pinelli; Simone Soderi; Gabriele Tolomei (IEEE Access, 2022)

GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; Yongfeng Zhang; Zhenhua Huang 001; Hongshik Ahn; Gabriele Tolomei (CoRR, 2022)

MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction. - Gabriele Tolomei; Lorenzo Takanen; Fabio Pinelli (CoRR, 2022)

Editorial: Human-Interpretable Machine Learning. - Gabriele Tolomei; Fabio Pinelli; Fabrizio Silvestri (Frontiers Big Data, 2022)

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. - Gabriele Tolomei; Cesare Campagnano; Fabrizio Silvestri; Giovanni Trappolini (CogMI, 2023)

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. - Ziheng Chen 002; Fabrizio Silvestri; Jia Wang 009; Yongfeng Zhang; Gabriele Tolomei (SIGIR, 2023)

FLIRT: Federated Learning for Information Retrieval. - Fabio Pinelli; Gabriele Tolomei; Giovanni Trappolini (SIGIR, 2023)

A Byzantine-Resilient Aggregation Scheme for Federated Learning via Matrix Autoregression on Client Updates. - Gabriele Tolomei; Edoardo Gabrielli; Dimitri Belli; Vittorio Miori (CoRR, 2023)

A Survey on Decentralized Federated Learning. - Edoardo Gabrielli; Giovanni Pica; Gabriele Tolomei (CoRR, 2023)

Community Membership Hiding as Counterfactual Graph Search via Deep Reinforcement Learning. - Andrea Bernini; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2023)

Evading Community Detection via Counterfactual Neighborhood Search. - Andrea Bernini; Fabrizio Silvestri; Gabriele Tolomei (KDD, 2024)

Robust Training of Sequential Recommender Systems with Missing Input Data. - Federico Siciliano; Shoval Lagziel; Iftah Gamzu; Gabriele Tolomei (RobustRecSys@RecSys, 2024)

∇ τ: Gradient-based and Task-Agnostic machine Unlearning. - Daniel Trippa; Cesare Campagnano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2024)

Debiasing Machine Unlearning with Counterfactual Examples. - Ziheng Chen 002; Jia Wang 009; Jun Zhuang; Abbavaram Gowtham Reddy; Fabrizio Silvestri; Jin Huang 010; Kaushiki Nag; Kun Kuang; Xin Ning 001; Gabriele Tolomei (CoRR, 2024)

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent. - Ziheng Chen 002; Fabrizio Silvestri; Gabriele Tolomei; Jia Wang 009; He Zhu 001; Hongshik Ahn (IEEE Trans. Artif. Intell., 2024)

Sparse Vicious Attacks on Graph Neural Networks. - Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2024)

Natural Language Counterfactual Explanations for Graphs Using Large Language Models. - Flavio Giorgi; Cesare Campagnano; Fabrizio Silvestri; Gabriele Tolomei (AISTATS, 2025)

Community Membership Hiding via Gradient-based Optimization. - Matteo Silvestri; Edoardo Gabrielli; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making. - Vittoria Vineis; Giuseppe Perelli; Gabriele Tolomei (CoRR, 2025)

Generalizability through Explainability: Countering Overfitting with Counterfactual Examples. - Flavio Giorgi; Fabiano Veglianti; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations. - Flavio Giorgi; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

FROG: Fair Removal on Graphs. - Ziheng Chen 002; Jiali Cheng; Gabriele Tolomei; Sijia Liu; Hadi Amiri; Yu Wang; Kaushiki Nag; Lu Lin (CoRR, 2025)

Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. - Maria Movin; Federico Siciliano; Rui Ferreira; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2025)

One Search Fits All: Pareto-Optimal Eco-Friendly Model Selection. - Filippo Betello; Antonio Purificato; Vittoria Vineis; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2025)

Generalizability vs. Counterfactual Explainability Trade-Off. - Fabiano Veglianti; Flavio Giorgi; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)

Demystifying Sequential Recommendations: Counterfactual Explanations via Genetic Algorithms. - Domiziano Scarcelli; Filippo Betello; Giuseppe Perelli; Fabrizio Silvestri; Gabriele Tolomei (CoRR, 2025)