A truthful learning mechanism for multi-slot sponsored search auctions with externalities. - Nicola Gatti 001; Alessandro Lazaric; Francesco Trovò (AAMAS, 2012)

A "Learning from Models" Cognitive Fault Diagnosis System. - Cesare Alippi; Manuel Roveri; Francesco Trovò (ICANN (2), 2012)

A truthful learning mechanism for contextual multi-slot sponsored search auctions with externalities. - Nicola Gatti 001; Alessandro Lazaric; Francesco Trovò (EC, 2012)

Adaptive and Flexible Smartphone Power Modeling. - A. A. Nacci; Francesco Trovò; Filippo Maggi; Matteo Ferroni; Andrea Cazzola; Donatella Sciuto; Marco D. Santambrogio (Mob. Networks Appl., 2013)

On Power and Energy Consumption Modeling for Smart Mobile Devices. - Matteo Ferroni; Andrea Cazzola; Francesco Trovò; Donatella Sciuto; Marco Domenico Santambrogio (EUC, 2014)

Learning causal dependencies to etect and diagnose faults in sensor networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IES, 2014)

An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks. - Manuel Roveri; Francesco Trovò (AIAI, 2014)

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. - Cesare Alippi; Manuel Roveri; Francesco Trovò (IEEE Trans. Neural Networks Learn. Syst., 2014)

Truthful learning mechanisms for multi-slot sponsored search auctions with externalities. - Nicola Gatti 001; Alessandro Lazaric; Marco Rocco; Francesco Trovò (Artif. Intell., 2015)

A cognitive fault detection and diagnosis system for sensor networks. - Francesco Trovò (2015)

Budgeted Multi-Armed Bandit in Continuous Action Space. - Francesco Trovò; Stefano Paladino; Marcello Restelli; Nicola Gatti 001 (ECAI, 2016)

Machine Learning Techniques for Stackelberg Security Games: a Survey. - Giuseppe De Nittis; Francesco Trovò (CoRR, 2016)

Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection. - Manuel Roveri; Francesco Trovò (Advances in Neural Networks, 2016)

Unimodal Thompson Sampling for Graph-Structured Arms. - Stefano Paladino; Francesco Trovò; Marcello Restelli; Nicola Gatti 001 (AAAI, 2017)

Risk-averse trees for learning from logged bandit feedback. - Francesco Trovò; Stefano Paladino; Paolo Simone; Marcello Restelli; Nicola Gatti 001 (IJCNN, 2017)

Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games. - Lorenzo Bisi; Giuseppe De Nittis; Francesco Trovò; Marcello Restelli; Nicola Gatti 001 (UAI, 2017)

An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks. - Manuel Roveri; Francesco Trovò (Int. J. Neural Syst., 2017)

A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (AAAI, 2018)

Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. - Margherita Gasparini; Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (IJCNN, 2018)

Improving multi-armed bandit algorithms in online pricing settings. - Francesco Trovò; Stefano Paladino; Marcello Restelli; Nicola Gatti 001 (Int. J. Approx. Reason., 2018)

Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization. - Alessandro Nuara; Nicola Sosio; Francesco Trovò; Maria Chiara Zaccardi; Nicola Gatti 001; Marcello Restelli (WWW, 2019)

Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. - Alberto Marchesi 001; Francesco Trovò; Nicola Gatti 001 (AAMAS, 2020)

Driving Exploration by Maximum Distribution in Gaussian Process Bandits. - Alessandro Nuara; Francesco Trovò; Dominic Crippa; Nicola Gatti 001; Marcello Restelli (AAMAS, 2020)

Dealing with transaction costs in portfolio optimization: online gradient descent with momentum. - Edoardo Vittori; Martino Bernasconi de Luca; Francesco Trovò; Marcello Restelli (ICAIF, 2020)

A privacy-preserving tests optimization algorithm for epidemics containment. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001 (CoRR, 2020)

Sliding-Window Thompson Sampling for Non-Stationary Settings. - Francesco Trovò; Marcello Restelli; Nicola Gatti 001 (J. Artif. Intell. Res., 2020)

Exploiting Opponents Under Utility Constraints in Sequential Games. - Martino Bernasconi de Luca; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Alberto Marchesi 001; Francesco Trovò (NeurIPS, 2021)

Conservative Online Convex Optimization. - Martino Bernasconi de Luca; Edoardo Vittori; Francesco Trovò; Marcello Restelli (ECML/PKDD (1), 2021)

Exploiting History Data for Nonstationary Multi-armed Bandit. - Gerlando Re; Fabio Chiusano; Francesco Trovò; Diego Carrera; Giacomo Boracchi; Marcello Restelli (ECML/PKDD (1), 2021)

Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. - Martino Bernasconi; Stefano Martino; Edoardo Vittori; Francesco Trovò; Marcello Restelli (ICAIF, 2022)

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. - Martino Bernasconi; Federico Cacciamani; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (ICML, 2022)

Stochastic Rising Bandits. - Alberto Maria Metelli; Francesco Trovò; Matteo Pirola; Marcello Restelli (ICML, 2022)

Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. - Giulia Romano; Andrea Agostini; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (IJCAI, 2022)

Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. - Marco Mussi; Gianmarco Genalti; Francesco Trovò; Alessandro Nuara; Nicola Gatti 001; Marcello Restelli (KDD, 2022)

Sequential Information Design: Learning to Persuade in the Dark. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (NeurIPS, 2022)

Online joint bid/daily budget optimization of Internet advertising campaigns. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (Artif. Intell., 2022)

Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty. - Matteo Castiglioni; Alessandro Nuara; Giulia Romano; Giorgio Spadaro; Francesco Trovò; Nicola Gatti 001 (CoRR, 2022)

Last-iterate Convergence to Trembling-hand Perfect Equilibria. - Martino Bernasconi; Alberto Marchesi 001; Francesco Trovò (CoRR, 2022)

Dynamic Pricing with Volume Discounts in Online Settings. - Marco Mussi; Gianmarco Genalti; Alessandro Nuara; Francesco Trovò; Marcello Restelli; Nicola Gatti 001 (AAAI, 2023)

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Alberto Marchesi 001; Francesco Trovò; Nicola Gatti 001 (ICML, 2023)

Constrained Phi-Equilibria. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Francesco Trovò; Nicola Gatti 001 (ICML, 2023)

MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse. - Michele Zanitti; Mieszko Ferens; Alberto Ferrarin; Francesco Trovò; Vanja Miskovic; Arsela Prelaj; Ming Shen 001; Sokol Kosta (MetaCom, 2023)

Advancing Fraud Detection Systems Through Online Learning. - Tommaso Paladini; Martino Bernasconi de Luca; Michele Carminati; Mario Polino; Francesco Trovò; Stefano Zanero (ECML/PKDD (6), 2023)

ARLO: A framework for Automated Reinforcement Learning. - Marco Mussi; Davide Lombarda; Alberto Maria Metelli; Francesco Trovò; Marcello Restelli (Expert Syst. Appl., 2023)

IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems. - Filippo Fedeli; Alberto Maria Metelli; Francesco Trovò; Marcello Restelli (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dissimilarity Bandits. - Paolo Battellani; Alberto Maria Metelli; Francesco Trovò (AISTATS, 2024)

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. - Martino Bernasconi; Alberto Marchesi 001; Francesco Trovò (AISTATS, 2024)

Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position. - Daniele Manfredonia; Seiichi Harata; Takuto Sakuma; Francesco Trovò; Shohei Kato (ICAART (3), 2024)

Best Arm Identification for Stochastic Rising Bandits. - Marco Mussi; Alessandro Montenegro; Francesco Trovò; Marcello Restelli; Alberto Maria Metelli (ICML, 2024)

Sliding-Window Thompson Sampling for Non-Stationary Settings. - Marco Fiandri; Alberto Maria Metelli; Francesco Trovò (CoRR, 2024)

Rising Rested Bandits: Lower Bounds and Efficient Algorithms. - Marco Fiandri; Alberto Maria Metelli; Francesco Trovò (CoRR, 2024)

Adapting bandit algorithms for settings with sequentially available arms. - Marco Gabrielli; Manuela Antonelli; Francesco Trovò (Eng. Appl. Artif. Intell., 2024)

A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting. - Oscar Cartagena; Francesco Trovò; Doris Sáez (Expert Syst. Appl., 2024)

Evolving Fuzzy Prediction Intervals in Nonstationary Environments. - Oscar Cartagena; Francesco Trovò; Manuel Roveri; Doris Sáez (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

An Ensemble Approach to Predict Immunotherapy Efficacy in Non-Small Cell Lung Cancer Using Digital Pathology. - Aleksandra Zec; Marcello Matteo Declich; Matteo Sacco; Francesco Trovò; Daniele Lorenzini; Arsela Prelaj; Vanja Miskovic (AIAI (4), 2025)

FARMER: An Online-Learning Driven Methodology for Workload Consolidation on Large FPGAs. - Gabriele Montanaro; Francesco Trovò; Davide Zoni (ISCAS, 2025)

Safe Online Bid Optimization with Return on Investment and Budget Constraints. - Matteo Castiglioni; Alessandro Nuara; Giulia Romano; Giorgio Spadaro; Francesco Trovò; Nicola Gatti 001 (KDD (1), 2025)

Online learning in sequential Bayesian persuasion: Handling unknown priors. - Martino Bernasconi; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (Artif. Intell., 2025)

AReS: A patient simulator to facilitate testing of automated anesthesia. - Sara Hosseinirad; Manuela Merlo; Francesco Trovò; Emiliano Tognoli; Alberto Maria Metelli; Guy Albert Dumont (Comput. Methods Programs Biomed., 2025)

The evolutionary dynamics of soft-max policy gradient in multi-agent settings. - Martino Bernasconi; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Francesco Trovò (Theor. Comput. Sci., 2025)

Thompson Sampling-like Algorithms for Stochastic Rising Bandits. - Marco Fiandri; Alberto Maria Metelli; Francesco Trovò (CoRR, 2025)

A Reinforcement Learning Approach for Optimal Control in Microgrids. - Davide Salaorni; Federico Bianchi; Francesco Trovò; Marcello Restelli (CoRR, 2025)

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning. - Davide Salaorni; Vincenzo De Paola; Samuele Delpero; Giovanni Dispoto; Paolo Bonetti; Alessio Russo; Giuseppe Calcagno; Francesco Trovò; Matteo Papini; Alberto Maria Metelli; Marco Mussi; Marcello Restelli (CoRR, 2025)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks. - Francesco Panebianco; Stefano Bonfanti; Francesco Trovò; Michele Carminati (CoRR, 2025)