( en | de | ru )

 

Disambiguation of "Giannini, Francesco"

Author of the publication

copydeleteadd this publication to your clipboard
Learning Logic Explanations by Neural Networks.

, , , , , , and . Compendium of Neurosymbolic Artificial Intelligence, volume 369 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mario Giannini

Carolin Giannini

Colian Giannini

Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical method. FU Berlin, (2009)

Francesco Solimena

 

Other publications of authors with the same name

On a Convex Logic Fragment for Learning and Reasoning., , , and . IEEE Trans. Fuzzy Syst., 27 (7): 1407-1416 (2019)Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics., , , , , and . CoRR, (2023)Autonomous Vehicle Platoons in Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach., , , , , and . IEEE CAA J. Autom. Sinica, 11 (1): 141-156 (January 2024)A Sustainable Multi-Agent Routing Algorithm for Vehicle Platoons in Urban Networks., , , and . IEEE Trans. Intell. Transp. Syst., 24 (12): 14830-14840 (December 2023)LYRICS: a General Interface Layer to Integrate Logic Inference and Deep Learning, , , and . (2019)Logic Explained Networks., , , , , , and . NeSy, volume 3432 of CEUR Workshop Proceedings, page 432-433. CEUR-WS.org, (2023)Set-theoretic receding horizon control for nonlinear systems: a data-driven approach., , , and . EUROCON, page 579-584. IEEE, (2023)LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning., , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 283-298. Springer, (2019)Interpretable Graph Networks Formulate Universal Algebra Conjectures., , , , , , and . CoRR, (2023)T-norms driven loss functions for machine learning., , , , and . Appl. Intell., 53 (15): 18775-18789 (August 2023)