A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data. - Alessandro Druetto; Marco Roberti; Rossella Cancelliere; Davide Cavagnino; Mario Gai (IWANN (2), 2019)

Column generation for minimizing total completion time in a parallel-batching environment. - Arianna Alfieri; Alessandro Druetto; Andrea Grosso; Fabio Salassa (J. Sched., 2021)

Anomaly Detection Techniques in the Gaia Space Mission Data. - Marco Roberti; Alessandro Druetto; Deborah Busonero; Rossella Cancelliere; Davide Cavagnino; Mario Gai (J. Signal Process. Syst., 2021)

Correction to: Anomaly Detection Techniques in the Gaia Space Mission Data. - Marco Roberti; Alessandro Druetto; Deborah Busonero; Rossella Cancelliere; Davide Cavagnino; Mario Gai (J. Signal Process. Syst., 2021)

Column generation and rounding heuristics for minimizing the total weighted completion time on a single batching machine. - Alessandro Druetto; Andrea Grosso (Comput. Oper. Res., 2022)

Task and Memory Mapping of Large Size Embedded Applications over NUMA architecture✱. - Alessandro Druetto; Enrico Bini; Andrea Grosso; Stefano Puri; Silvio Bacci; Marco Di Natale; Francesco Paladino (RTNS, 2023)

The daily swab test collection problem. - Roberto Aringhieri; Sara Bigharaz; Alessandro Druetto; Davide Duma; Andrea Grosso; Alberto Guastalla (Ann. Oper. Res., 2024)

High capacity reversible data hiding in radiographic images with optimal bit allocation. - Davide Cavagnino; Alessandro Druetto; Marco Grangetto; Maurizio Lucenteforte (Multim. Tools Appl., 2024)

Efficient arc-flow formulations for makespan minimisation on parallel machines with a common server. - Alessandro Druetto; Andrea Grosso; Jully Jeunet; Fabio Salassa (Comput. Oper. Res., 2025)

Scheduling on single and parallel machines with constrained resources: batching or shared memory environments. - Alessandro Druetto (4OR, 2025)