Optimizing Monitorability of Multi-cloud Applications. - Edoardo Fadda; Pierluigi Plebani; Monica Vitali (CAiSE, 2016)

An ICT-Based Reference Model for E-grocery in Smart Cities. - Roberto Tadei; Edoardo Fadda; Luca Gobbato; Guido Perboli; Mariangela Rosano (Smart-CT, 2016)

A robust optimization approach to kernel-based nonparametric error-in-variables identification in the presence of bounded noise. - Vito Cerone; Edoardo Fadda; Diego Regruto (ACC, 2017)

Inner approximation of parameter uncertainty intervals in bounded error identification. - Vito Cerone; Edoardo Fadda; Diego Regruto (CDC, 2017)

Multi Period Assignment Problem for Social Engagement and Opportunistic IoT. - Edoardo Fadda; Dario Mana; Guido Perboli; Roberto Tadei (COMPSAC (2), 2017)

Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy. - Edoardo Fadda; Guido Perboli; Giovanni Squillero (EvoApplications (1), 2017)

Sustainable mobility and user preferences by crowdsourcing data: the Open Agora project. - Edoardo Fadda; Guido Perboli; Valerio Vallesio; Dario Mana (CASE, 2018)

Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT. - Edoardo Fadda; Guido Perboli; Roberto Tadei (Comput. Oper. Res., 2018)

New Valid Inequalities for the Two-Echelon Capacitated Vehicle Routing Problem. - Guido Perboli; Roberto Tadei; Edoardo Fadda (Electron. Notes Discret. Math., 2018)

Waste Collection in Urban Areas: A Case Study. - Edoardo Fadda; Luca Gobbato; Guido Perboli; Mariangela Rosano; Roberto Tadei (Interfaces, 2018)

KPIs for Optimal Location of charging stations for Electric Vehicles: the Biella case-study. - Edoardo Fadda; Daniele Manerba; Roberto Tadei; Paolo Camurati; Gianpiero Cabodi (FedCSIS, 2019)

A progressive hedging method for the optimization of social engagement and opportunistic IoT problems. - Edoardo Fadda; Guido Perboli; Roberto Tadei (Eur. J. Oper. Res., 2019)

An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis. - Alfredo Cuzzocrea; Mohamed Medhat Gaber; Edoardo Fadda; Giorgio Mario Grasso (J. Ambient Intell. Humaniz. Comput., 2019)

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. - Alfredo Cuzzocrea; Vincenzo De Maio; Edoardo Fadda (COMPSAC, 2020)

Supporting Cyber Attack Detection via Non-Linear Analytic Prediction of IP Addresses: A Big Data Analytics Technique. - Enzo Mumolo; Edoardo Fadda; Marco Tessarotto; Alfredo Cuzzocrea (DMSVIVA, 2020)

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 001; Edoardo Fadda (EUSPN/ICTH, 2020)

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 (EUSPN/ICTH, 2020)

Online Single-Machine Scheduling via Reinforcement Learning. - Yuanyuan Li; Edoardo Fadda; Daniele Manerba; Mina Roohnavazfar; Roberto Tadei; Olivier Terzo (WCO@FedCSIS, 2020)

Reinforcement Learning Algorithms for Online Single-Machine Scheduling. - Yuanyuan Li; Edoardo Fadda; Daniele Manerba; Roberto Tadei; Olivier Terzo (FedCSIS, 2020)

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 (ICCSA (1), 2020)

Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework. - Alfredo Cuzzocrea; Edoardo Fadda (MEDES, 2020)

User Emotion Detection via Taxonomy Management: An Innovative System. - Alfredo Cuzzocrea; Giovanni Pilato; Edoardo Fadda (SEBD, 2020)

Integrating sensors data in optimization methods for sustainable urban logistic. - Edoardo Fadda (4OR, 2020)

Smartphone Data Classification Technique for Detecting the Usage of Public or Private Transportation Modes. - Pino Castrogiovanni; Edoardo Fadda; Guido Perboli; Alessandro Rizzo (IEEE Access, 2020)

The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs. - Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba; Roberto Tadei (Transp. Sci., 2020)

Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery. - Edoardo Fadda; Stanislav Fedorov; Guido Perboli; Ivan Dario Cardenas Barbosa (COMPSAC, 2021)

Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data. - Alfredo Cuzzocrea; Carson K. Leung; Anifat M. Olawoyin; Edoardo Fadda (EUSPN/ICTH, 2021)

Solving assignment problems via Quantum Computing: a case-study in train seating arrangement. - Ilaria Gioda; Davide Caputo; Edoardo Fadda; Daniele Manerba; Blanca Silva Fernández; Roberto Tadei (FedCSIS, 2021)

Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series. - Alessandro Baldo 001; Alfredo Cuzzocrea; Edoardo Fadda; Pablo García Bringas (HAIS, 2021)

Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings. - Alfredo Cuzzocrea; Edoardo Fadda; Alessandro Baldo 001 (ICCBDC, 2021)

Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study. - Alfredo Cuzzocrea; Edoardo Fadda (ICEIS (2), 2021)

From Low-Level-Event-Logs to High-Level-Business-Process-Model-Activities: An Advanced Framework based on Machine Learning and Flexible BPMN Model Translation. - Alfredo Cuzzocrea; Ernesto Damiani; Hamda Al-Ali; Rabeb Mizouni; Ghalia Tello; Edoardo Fadda (SEBD, 2021)

Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis. - Alfredo Cuzzocrea; Enzo Mumolo; Edoardo Fadda; Selim Soufargi; Carson K. Leung (SEBD, 2021)

Monitoring-Aware Optimal Deployment for Applications Based on Microservices. - Edoardo Fadda; Pierluigi Plebani; Monica Vitali (IEEE Trans. Serv. Comput., 2021)

A chance-constraint approach for optimizing social engagement-based services. - Michel Bierlaire; Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba (FedCSIS, 2022)

Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets. - Alessandro Baldo 001; Alfredo Cuzzocrea; Edoardo Fadda (ICCBDC, 2022)

Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem. - Alfredo Cuzzocrea; Edoardo Fadda; Emilio Leonardi (ICCBDC, 2022)

Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19. - Alfredo Cuzzocrea; Edoardo Fadda (ICEIS (1), 2022)

Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology. - Alfredo Cuzzocrea; Selim Soufargi; Alessandro Baldo 001; Edoardo Fadda (ISMIS, 2022)

Workforce Allocation for Social Engagement Services via Stochastic Optimization. - Michel Bierlaire; Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba (WCO, 2022)

Consensus formation on heterogeneous networks. - Edoardo Fadda; Junda He; Claudio J. Tessone; Paolo Barucca (EPJ Data Sci., 2022)

Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach. - Alfredo Cuzzocrea; Edoardo Fadda; Enzo Mumolo (Multim. Tools Appl., 2022)

The polynomial robust knapsack problem. - Alessandro Baldo 001; Matteo Boffa; Lorenzo Cascioli; Edoardo Fadda; Chiara Lanza; Arianna Ravera (Eur. J. Oper. Res., 2023)

A machine learning optimization approach for last-mile delivery and third-party logistics. - Maria Elena Bruni; Edoardo Fadda; Stanislav Fedorov; Guido Perboli (Comput. Oper. Res., 2023)

Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model. - Alfredo Cuzzocrea; Edoardo Fadda (Array, 2024)

A reduced variable neighborhood search for the just in time job shop scheduling problem with sequence dependent setup times. - Paolo Brandimarte; Edoardo Fadda (Comput. Oper. Res., 2024)

Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines. - Leonardo Kanashiro Felizardo; Edoardo Fadda; Emilio Del-Moral-Hernandez; Paolo Brandimarte (Expert Syst. Appl., 2024)

Rolling horizon policies for multi-stage stochastic assemble-to-order problems. - Daniele Giovanni Gioia; Edoardo Fadda; Paolo Brandimarte (Int. J. Prod. Res., 2024)

Math-based reinforcement learning for the adaptive budgeted influence maximization problem. - Edoardo Fadda; Evelina Di Corso; Davide Brusco; Vlad Stefan Aelenei; Alexandru Balan Rares (Networks, 2024)

A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets. - Alfredo Cuzzocrea; Alessandro Baldo 001; Edoardo Fadda (J. Intell. Inf. Syst., 2024)

A Kernel-Based Approach to Errors-in-Variables Identification of Stable Multivariable Linear Systems. - Vito Cerone; Edoardo Fadda; Diego Regruto (IEEE Trans. Autom. Control., 2024)

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; Mariá Cristina Vasconcelos Nascimento (CoRR, 2025)