Francesco Trov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
16
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIAI | An Ensemble Approach to Predict Immunotherapy Efficacy in Non-Small Cell Lung Cancer Using Digital Pathology. | Aleksandra Zec, Marcello Matteo Declich, Matteo Sacco, Francesco Trov, Daniele Lorenzini, Arsela Prelaj, Vanja Miskovic |
| 2025 | IJCNN | A Reinforcement Learning Approach for Optimal Control in Microgrids. | Davide Salaorni, Federico Bianchi, Marcello Restelli, Francesco Trov |
| 2025 | ISCAS | FARMER: An Online-Learning Driven Methodology for Workload Consolidation on Large FPGAs. | Gabriele Montanaro, Francesco Trov, Davide Zoni |
| 2025 | KDD | Safe Online Bid Optimization with Return on Investment and Budget Constraints. | Matteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trov, Nicola Gatti |
| 2024 | AISTATS | Dissimilarity Bandits. | Paolo Battellani, Alberto Maria Metelli, Francesco Trov |
| 2024 | AISTATS | Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. | Martino Bernasconi, Alberto Marchesi, Francesco Trov |
| 2024 | ICAART | 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 Trov, Shohei Kato |
| 2024 | ICML | Best Arm Identification for Stochastic Rising Bandits. | Marco Mussi, Alessandro Montenegro, Francesco Trov, Marcello Restelli, Alberto Maria Metelli |
| 2023 | AAAI | Dynamic Pricing with Volume Discounts in Online Settings. | Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trov, Marcello Restelli, Nicola Gatti |
| 2023 | ICML | Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. | Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trov, Nicola Gatti |
| 2023 | ICML | Constrained Phi-Equilibria. | Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trov, Nicola Gatti |
| 2022 | ICML | Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. | Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trov |
| 2022 | ICML | Stochastic Rising Bandits. | Alberto Maria Metelli, Francesco Trov, Matteo Pirola, Marcello Restelli |
| 2022 | IJCAI | Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. | Giulia Romano, Andrea Agostini, Francesco Trov, Nicola Gatti, Marcello Restelli |
| 2022 | KDD | Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. | Marco Mussi, Gianmarco Genalti, Francesco Trov, Alessandro Nuara, Nicola Gatti, Marcello Restelli |
| 2019 | WWW | Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization. | Alessandro Nuara, Nicola Sosio, Francesco Trov, Maria Chiara Zaccardi, Nicola Gatti, Marcello Restelli |
| 2018 | AAAI | A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. | Alessandro Nuara, Francesco Trov, Nicola Gatti, Marcello Restelli |
| 2018 | IJCNN | Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. | Margherita Gasparini, Alessandro Nuara, Francesco Trov, Nicola Gatti, Marcello Restelli |
| 2017 | AAAI | Unimodal Thompson Sampling for Graph-Structured Arms. | Stefano Paladino, Francesco Trov, Marcello Restelli, Nicola Gatti |
| 2017 | IJCNN | Risk-averse trees for learning from logged bandit feedback. | Francesco Trov, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti |
| 2017 | UAI | Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games. | Lorenzo Bisi, Giuseppe De Nittis, Francesco Trov, Marcello Restelli, Nicola Gatti |
| 2016 | ECAI | Budgeted Multi-Armed Bandit in Continuous Action Space. | Francesco Trov, Stefano Paladino, Marcello Restelli, Nicola Gatti |
| 2014 | EUC | On Power and Energy Consumption Modeling for Smart Mobile Devices. | Matteo Ferroni, Andrea Cazzola, Francesco Trov, Donatella Sciuto, Marco Domenico Santambrogio |
| 2014 | IES | Learning causal dependencies to etect and diagnose faults in sensor networks. | Cesare Alippi, Manuel Roveri, Francesco Trov |
| 2012 | AAMAS | A truthful learning mechanism for multi-slot sponsored search auctions with externalities. | Nicola Gatti, Alessandro Lazaric, Francesco Trov |
| 2012 | ICANN | A "Learning from Models" Cognitive Fault Diagnosis System. | Cesare Alippi, Manuel Roveri, Francesco Trov |