Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. - Danilo Avola; Luigi Cinque; Alessio Fagioli 001; Sebastiano Filetti; Giorgio Grani; Emanuele Rodolà (CoRR, 2020)

Solving the single-track train scheduling problem via Deep Reinforcement Learning. - Valerio Agasucci; Giorgio Grani; Leonardo Lamorgese (CoRR, 2020)

Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming. - Marianna De Santis; Giorgio Grani; Laura Palagi (Eur. J. Oper. Res., 2020)

Criterion Space Search Algorithms for Nonlinear Integer Multiobjective programs. - Giorgio Grani (2020)

User Involvement in the Design of ML-Infused Systems. - Amela Karahasanovic; Erik Gausta Nilsson; Giorgio Grani; Kjell Fredrik Pettersen; Leo Karabeg; Patrick Schittekat (CHI Greece, 2021)

Integrating categorical and structural proximity in Disease Ontologies. - Lorenzo Madeddu; Giorgio Grani; Paola Velardi (EMBC, 2021)

An actor-critic algorithm with deep double recurrent agents to solve the job shop scheduling problem. - Marta Monaci; Valerio Agasucci; Giorgio Grani (CoRR, 2021)

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. - Marianna Maranghi; Aris Anagnostopoulos; Irene Cannistraci; Ioannis Chatzigiannakis; Federico Croce; Giulia Di Teodoro; Michele Gentili; Giorgio Grani; Maurizio Lenzerini; Stefano Leonardi 001; Andrea Mastropietro; Laura Palagi; et al. (CoRR, 2022)

PUSH: a primal heuristic based on Feasibility PUmp and SHifting. - Giorgio Grani; Corrado Coppola; Valerio Agasucci (CoRR, 2022)

Solving the vehicle routing problem with deep reinforcement learning. - Simone Foa; Corrado Coppola; Giorgio Grani; Laura Palagi (CoRR, 2022)

Supporting Personalized Health Care With Social Media Analytics: An Application to Hypothyroidism. - Giorgio Grani; Andrea Lenzi; Paola Velardi (ACM Trans. Comput. Heal., 2022)

Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification. - Danilo Avola; Luigi Cinque; Alessio Fagioli 001; Sebastiano Filetti; Giorgio Grani; Emanuele Rodolà (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Network-Based Analysis of Disease Modules From a Taxonomic Perspective. - Giorgio Grani; Lorenzo Madeddu; Paola Velardi (IEEE J. Biomed. Health Informatics, 2022)

Using Knowledge Graphs to Model Green Investment Opportunities. - Giorgio Grani; Lorenzo Di Rocco; Umberto Ferraro Petrillo (ADBIS (Short Papers), 2023)

Enhancing Scalability of Distributed SNPs Calling Pipelines Using Cluster-Driven Partitioning Strategy. - Lorenzo Di Rocco; Umberto Ferraro Petrillo; Giorgio Grani (itaDATA, 2023)

Solving the train dispatching problem via deep reinforcement learning. - Valerio Agasucci; Giorgio Grani; Leonardo Lamorgese (J. Rail Transp. Plan. Manag., 2023)

Breaking Down Accuracy with Subspace Optimization. - Donatella Firmani; Giorgio Grani; Flavia Tagliafierro (EDBT, 2024)

Margin optimal classification trees. - Federico D'Onofrio; Giorgio Grani; Marta Monaci; Laura Palagi (Comput. Oper. Res., 2024)

An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents. - Marta Monaci; Valerio Agasucci; Giorgio Grani (Eur. J. Oper. Res., 2024)

Ontology-Based Data Preparation in Healthcare: The Case of the AMD-STITCH Project. - Federico Croce; Riccardo Valentini 002; Marianna Maranghi; Giorgio Grani; Maurizio Lenzerini; Riccardo Rosati 001 (SN Comput. Sci., 2024)