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Francesco Giannini
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2020 – today
- 2024
- [j7]Luigi D'Alfonso
, Francesco Giannini
Autonomous Vehicle Platoons in Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach. IEEE CAA J. Autom. Sinica 11(1): 141-156 (2024) - [j6]Francesco Giannini
A Data-Driven Approach to Set-Theoretic Model Predictive Control for Nonlinear Systems. Inf. 15(7): 369 (2024) - [j5]Giuseppe Franzè
Embedding the State Trajectories of Nonlinear Systems via Multimodel Linear Descriptions: A Data-Driven-Based Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 7143-7155 (2024) - [c33]Domenico Famularo, Giuseppe Franzè, Francesco Giannini, Francesco Pupo, Giancarlo Fortino, Francesco Tedesco:
A multi-tiered control framework designed for managing the logistical activities of self-driving vehicles within manufacturing environments. CASE 2024: 1258-1263 - [c32]Domenico Famularo, Francesco Giannini, Giancarlo Fortino, Giuseppe Franzè:
A distributed control architecture for sustainable routing decisions of autonomous vehicle platoons subject to cyber attacks. CoDIT 2024: 1147-1152 - [c31]Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Marco Gori, Martin Homola, Stefan Balogh, Ján Mojzis:
Logically Explainable Malware Detection. HI-AI@KDD 2024: 31-42 - [c30]Gabriele Ciravegna
Workshop on Human-Interpretable AI. KDD 2024: 6708-6709 - [c29]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 81-88 - [c28]Francesco Giannini
Categorical Foundation of Explainable AI: A Unifying Theory. xAI (3) 2024: 185-206 - [e1]Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Francesco Giannini, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024. CEUR Workshop Proceedings 3841, CEUR-WS.org 2024 [contents] - [i24]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich:
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR abs/2402.01408 (2024) - [i23]Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Martin Homola, Marco Gori, Stefan Balogh, Ján Mojzis:
Explainable Malware Detection with Tailored Logic Explained Networks. CoRR abs/2405.03009 (2024) - [i22]Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR abs/2405.16508 (2024) - [i21]David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Interpretable Concept-Based Memory Reasoning. CoRR abs/2407.15527 (2024) - 2023
- [j4]Gabriele Ciravegna
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [j3]Francesco Giannini
T-norms driven loss functions for machine learning. Appl. Intell. 53(15): 18775-18789 (2023) - [j2]Francesco Giannini
A Sustainable Multi-Agent Routing Algorithm for Vehicle Platoons in Urban Networks. IEEE Trans. Intell. Transp. Syst. 24(12): 14830-14840 (2023) - [c27]Luigi D'Alfonso, Giuseppe Franzè, Francesco Giannini, Francesco Tedesco:
A Neural Network and Model Predictive Control Based Resilient Architecture for Constrained Cyber-Physical Systems. CoDIT 2023: 883-888 - [c26]Francesco Giannini, Giuseppe Franzè, Francesco Pupo, Giancarlo Fortino:
A Set-Theoretic Receding Horizon Control Based on a Q-Learning Approach for Sustainability Purposes. CoDIT 2023: 1049-1054 - [c25]Francesco Giannini, Giuseppe Franzè, Francesco Pupo, Giancarlo Fortino:
Set-theoretic receding horizon control for nonlinear systems: a data-driven approach. EUROCON 2023: 579-584 - [c24]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c23]Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN 2023: 1-8 - [c22]Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini
Linguistic Feature Injection for Efficient Natural Language Processing. IJCNN 2023: 1-7 - [c21]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c20]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [c19]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS 2023 - [c18]Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini:
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML 2023: 156-168 - [p2]Gabriele Ciravegna, Francesco Giannini
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [i20]Michelangelo Diligenti, Francesco Giannini
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. CoRR abs/2303.13566 (2023) - [i19]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i18]Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR abs/2304.14094 (2023) - [i17]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR abs/2307.11688 (2023) - [i16]Pietro Barbiero
Relational Concept Based Models. CoRR abs/2308.11991 (2023) - 2022
- [c17]Pietro Barbiero, Gabriele Ciravegna
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c16]Francesco Giannini, Giancarlo Fortino, Giuseppe Franzè, Francesco Pupo:
A Deep Q Learning-Model Predictive Control Approach to vehicle routing and control with platoon constraints. CASE 2022: 563-568 - [c15]Francesco Giannini, Giancarlo Fortino, Giuseppe Franzè, Francesco Pupo:
Path planning for vehicle platoons under routing decisions: a distributed approach combining Deep Reinforcement Learning and Model Predictive Control. CoDIT 2022: 734-739 - [c14]Francesco Giannini, Giuseppe Franzè, Francesco Pupo, Giancarlo Fortino:
Autonomous Vehicles in Smart Cities: a Deep Reinforcement Learning Solution. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [c13]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli
Extending Logic Explained Networks to Text Classification. EMNLP 2022: 8838-8857 - [c12]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik:
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022 - [i15]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini
Concept Embedding Models. CoRR abs/2209.09056 (2022) - [i14]Rishabh Jain
Extending Logic Explained Networks to Text Classification. CoRR abs/2211.09732 (2022) - 2021
- [p1]Michelangelo Diligenti, Francesco Giannini
A Constraint-Based Approach to Learning and Reasoning. Neuro-Symbolic Artificial Intelligence 2021: 192-213 - [i13]Pietro Barbiero, Gabriele Ciravegna, Dobrik Georgiev, Francesco Giannini:
LENs: a Python library for Logic Explained Networks. CoRR abs/2105.11697 (2021) - [i12]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Maggini:
Learning Representations for Sub-Symbolic Reasoning. CoRR abs/2106.00393 (2021) - [i11]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-based Logic Explanations of Neural Networks. CoRR abs/2106.06804 (2021) - [i10]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. CoRR abs/2108.05149 (2021) - 2020
- [c11]Gabriele Ciravegna
A Constraint-Based Approach to Learning and Explanation. AAAI 2020: 3658-3665 - [c10]Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Inference in relational neural machines. NeHuAI@ECAI 2020: 71-74 - [c9]Giuseppe Marra
Relational Neural Machines. ECAI 2020: 1340-1347 - [c8]Gabriele Ciravegna
Human-Driven FOL Explanations of Deep Learning. IJCAI 2020: 2234-2240 - [i9]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. CoRR abs/2002.02193 (2020)
2010 – 2019
- 2019
- [j1]Francesco Giannini
On a Convex Logic Fragment for Learning and Reasoning. IEEE Trans. Fuzzy Syst. 27(7): 1407-1416 (2019) - [c7]Giuseppe Marra
Constraint-Based Visual Generation. ICANN (3) 2019: 565-577 - [c6]Francesco Giannini
Conditions for Unnecessary Logical Constraints in Kernel Machines. ICANN (2) 2019: 608-620 - [c5]Francesco Giannini
On the Relation Between Loss Functions and T-Norms. ILP 2019: 36-45 - [c4]Giuseppe Marra
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) 2019: 283-298 - [c3]Giuseppe Marra
Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) 2019: 517-532 - [i8]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. CoRR abs/1901.04195 (2019) - [i7]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: a General Interface Layer to Integrate AI and Deep Learning. CoRR abs/1903.07534 (2019) - [i6]Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the relation between Loss Functions and T-Norms. CoRR abs/1907.07904 (2019) - [i5]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
Learning and T-Norms Theory. CoRR abs/1907.11468 (2019) - [i4]Francesco Giannini, Marco Maggini:
Conditions for Unnecessary Logical Constraints in Kernel Machines. CoRR abs/1909.00216 (2019) - 2018
- [c2]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. AAAI 2018: 3015-3020 - [i3]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. CoRR abs/1807.09202 (2018) - [i2]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
On a Convex Logic Fragment for Learning and Reasoning. CoRR abs/1809.06778 (2018) - 2017
- [c1]Francesco Giannini
Learning Łukasiewicz Logic Fragments by Quadratic Programming. ECML/PKDD (1) 2017: 410-426 - [i1]Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi, Dario Zanca, Andrea Zugarini:
Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. CoRR abs/1703.05298 (2017)
Coauthor Index
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last updated on 2024-12-26 01:55 CET by the dblp team
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