| 2025 | IJCNN | A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks. | Leonardo Kanashiro Felizardo, Edoardo Fadda, Paolo Brandimarte, Emilio Del-Moral-Hernandez, Mari Cristina Vasconcelos Nascimento |
| 2022 | FedCSIS | A chance-constraint approach for optimizing social engagement-based services. | Michel Bierlaire, Edoardo Fadda, Lohic Fotio Tiotsop, Daniele Manerba |
| 2022 | ISMIS | Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology. | Alfredo Cuzzocrea, Selim Soufargi, Alessandro Baldo, Edoardo Fadda |
| 2022 | WCO | Workforce Allocation for Social Engagement Services via Stochastic Optimization. | Michel Bierlaire, Edoardo Fadda, Lohic Fotio Tiotsop, Daniele Manerba |
| 2021 | COMPSAC | Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery. | Edoardo Fadda, Stanislav Fedorov, Guido Perboli, Ivan Dario Cardenas Barbosa |
| 2021 | EUSPN | Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data. | Alfredo Cuzzocrea, Carson K. Leung, Anifat M. Olawoyin, Edoardo Fadda |
| 2021 | FedCSIS | Solving assignment problems via Quantum Computing: a case-study in train seating arrangement. | Ilaria Gioda, Davide Caputo, Edoardo Fadda, Daniele Manerba, Blanca Silva Fernndez, Roberto Tadei |
| 2021 | HAIS | Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series. | Alessandro Baldo, Alfredo Cuzzocrea, Edoardo Fadda, Pablo Garca Bringas |
| 2020 | COMPSAC | Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. | Alfredo Cuzzocrea, Vincenzo De Maio, Edoardo Fadda |
| 2020 | EUSPN | A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction. | Alfredo Cuzzocrea, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang, Edoardo Fadda |
| 2020 | EUSPN | An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds. | Alfredo Cuzzocrea, Carson K. Leung, Bryan H. Wodi, S. Sourav, Edoardo Fadda |
| 2020 | FedCSIS | Online Single-Machine Scheduling via Reinforcement Learning. | Yuanyuan Li, Edoardo Fadda, Daniele Manerba, Mina Roohnavazfar, Roberto Tadei, Olivier Terzo |
| 2020 | FedCSIS | Reinforcement Learning Algorithms for Online Single-Machine Scheduling. | Yuanyuan Li, Edoardo Fadda, Daniele Manerba, Roberto Tadei, Olivier Terzo |
| 2020 | ICCSA | A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses. | Alfredo Cuzzocrea, Enzo Mumolo, Edoardo Fadda, Marco Tessarotto |
| 2020 | MEDES | Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework. | Alfredo Cuzzocrea, Edoardo Fadda |
| 2019 | FedCSIS | KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study. | Edoardo Fadda, Daniele Manerba, Roberto Tadei, Paolo Camurati, Gianpiero Cabodi |
| 2017 | COMPSAC | Multi Period Assignment Problem for Social Engagement and Opportunistic IoT. | Edoardo Fadda, Dario Mana, Guido Perboli, Roberto Tadei |
| 2016 | CaiSE | Optimizing Monitorability of Multi-cloud Applications. | Edoardo Fadda, Pierluigi Plebani, Monica Vitali |