default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrancesco Giannini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j7]Luigi D'Alfonso
, Francesco Giannini, Giuseppe Franzè, Giuseppe Fedele, Francesco Pupo, Giancarlo Fortino:
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, Domenico Famularo:
A Data-Driven Approach to Set-Theoretic Model Predictive Control for Nonlinear Systems. Inf. 15(7): 369 (2024) - [j5]Giuseppe Franzè, Francesco Giannini, Vicenç Puig, Giancarlo Fortino:
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) - [c30]Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli:
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, Stefano Fioravanti, Pietro Barbiero, Alberto Tonda, Pietro Liò, Elena Di Lavore:
Categorical Foundation of Explainable AI: A Unifying Theory. xAI (3) 2024: 185-206 - [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, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [j3]Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra:
T-norms driven loss functions for machine learning. Appl. Intell. 53(15): 18775-18789 (2023) - [j2]Francesco Giannini, Giuseppe Franzè, Francesco Pupo, Giancarlo Fortino:
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, Moreno Falaschi, Giuseppe Marra:
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge. IJCNN 2023: 1-8 - [c22]Stefano Fioravanti, Andrea Zugarini, Francesco Giannini, Leonardo Rigutini, Marco Maggini, Michelangelo Diligenti:
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, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [i20]Michelangelo Diligenti, Francesco Giannini, Stefano Fioravanti, Caterina Graziani, Moreno Falaschi, Giuseppe Marra:
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, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra:
Relational Concept Based Models. CoRR abs/2308.11991 (2023) - 2022
- [c17]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
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, Pietro Liò:
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, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik:
Concept Embedding Models. CoRR abs/2209.09056 (2022) - [i14]Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Davide Buffelli, Pietro Liò:
Extending Logic Explained Networks to Text Classification. CoRR abs/2211.09732 (2022) - 2021
- [p1]Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra:
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, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori:
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, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. ECAI 2020: 1340-1347 - [c8]Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci:
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, Michelangelo Diligenti, Marco Gori, Marco Maggini:
On a Convex Logic Fragment for Learning and Reasoning. IEEE Trans. Fuzzy Syst. 27(7): 1407-1416 (2019) - [c7]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. ICANN (3) 2019: 565-577 - [c6]Francesco Giannini, Marco Maggini:
Conditions for Unnecessary Logical Constraints in Kernel Machines. ICANN (2) 2019: 608-620 - [c5]Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the Relation Between Loss Functions and T-Norms. ILP 2019: 36-45 - [c4]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) 2019: 283-298 - [c3]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
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, Michelangelo Diligenti, Marco Gori, Marco Maggini:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 20:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
