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ORCIDDario Guidotti
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Books and Theses
- 2022
[b1]Dario Guidotti:
Verification and Repair of Machine Learning Models. University of Genoa, Italy, 2022
Journal Articles
- 2024
- [j2]Stefano Demarchi
, Dario Guidotti, Luca Pulina, Armando Tacchella:
NeVer2: learning and verification of neural networks. Soft Comput. 28(19): 11647-11665 (2024) - 2023
- [j1]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Leveraging Satisfiability Modulo Theory Solvers for Verification of Neural Networks in Predictive Maintenance Applications. Inf. 14(7): 397 (2023)
Conference and Workshop Papers
- 2024
- [c23]Giorgio Corona, Dario Guidotti, Laura Pandolfo:
Constructing a Knowledge Graph for Italian Cinema Divas' Autobiographies (short paper). IAI4CH@AI*IA 2024: 22-29 - [c22]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verifying Autoencoders for Anomaly Detection in Predictive Maintenance. IEA/AIE 2024: 188-199 - [c21]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Formal Verification of Neural Networks: A "Step Zero" Approach for Vehicle Detection. IEA/AIE 2024: 297-309 - [c20]Giorgio Corona, Dario Guidotti, Laura Pandolfo, Luca Pulina:
Bistìris Ontology: Towards a Structured Representation of Sardinian Traditional Female Costumes. SemDH@ESWC 2024 - 2023
- [c19]Stefano Demarchi, Dario Guidotti, Luca Pulina, Armando Tacchella:
Supporting Standardization of Neural Networks Verification with VNNLIB and CoCoNet. FoMLAS@CAV 2023: 47-58 - [c18]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verifying Neural Networks with SMT: An Experimental Evaluation. e-Science 2023: 1-2 - [c17]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Detection of Component Degradation: A Study on Autoencoder-Based Approaches. e-Science 2023: 1-2 - [c16]Dario Guidotti, Riccardo Masiero, Laura Pandolfo, Luca Pulina:
Vector Reconstruction Error for Anomaly Detection: Preliminary Results in the IMOCO4.E Project. ETFA 2023: 1-4 - [c15]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verification of NNs in the IMOCO4.E Project: Preliminary Results. ETFA 2023: 1-4 - [c14]Dario Guidotti, Laura Pandolfo, Luca Pulina:
Verifying Neural Networks with Non-Linear SMT Solvers: a Short Status Report. ICTAI 2023: 423-428 - 2022
- [c13]Romina Eramo, Tiziana Fanni, Dario Guidotti, Laura Pandolfo, Luca Pulina, Katiuscia Zedda:
Verification of Neural Networks: Challenges and Perspectives in the AIDOaRt Project (Short Paper). IPS/RiCeRcA/SPIRIT@AI*IA 2022 - [c12]Dario Guidotti:
Verification of Neural Networks for Safety and Security-critical Domains. IPS/RiCeRcA/SPIRIT@AI*IA 2022 - [c11]Stefano Demarchi, Dario Guidotti:
Counter-Example Guided Abstract Refinement for Verification of Neural Networks. CPS Summer School, PhD Workshop 2022 - [c10]Stefano Demarchi, Dario Guidotti, Andrea Pitto, Armando Tacchella:
Formal Verification Of Neural Networks: A Case Study About Adaptive Cruise Control. ECMS 2022: 310-316 - 2021
- [c9]Dario Guidotti:
Verification and Repair of Neural Networks. AAAI 2021: 15714-15715 - [c8]Dario Guidotti, Luca Pulina, Armando Tacchella:
pyNeVer: A Framework for Learning and Verification of Neural Networks. ATVA 2021: 357-363 - [c7]Dario Guidotti, Giuseppe Cicala, Tommaso Gili, Armando Tacchella:
Telling Faults From Cyber-Attacks In A Multi-Modal Logistic System With Complex Network Analysis. ECMS 2021: 260-266 - [c6]Dario Guidotti:
Safety Analysis of Deep Neural Networks. IJCAI 2021: 4887-4888 - 2020
- [c5]Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella:
Verification of Neural Networks: Enhancing Scalability Through Pruning. ECAI 2020: 2505-2512 - 2019
- [c4]Dario Guidotti:
Enhancing Neural Networks through Formal Verification. DDC@AI*IA 2019: 107-112 - [c3]Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella:
Verification and Repair of Neural Networks: A Progress Report on Convolutional Models. AI*IA 2019: 405-417 - [c2]Dario Guidotti, Francesco Leofante, Claudio Castellini, Armando Tacchella:
Repairing Learned Controllers with Convex Optimization: A Case Study. CPAIOR 2019: 364-373 - [c1]Dario Guidotti, Francesco Leofante:
Repair of Convolutional Neural Networks using Convex Optimization: Preliminary Experiments. CPS Summer School, PhD Workshop 2019: 18-28
Informal and Other Publications
- 2020
- [i2]Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella:
Verification of Neural Networks: Enhancing Scalability through Pruning. CoRR abs/2003.07636 (2020) - [i1]Dario Guidotti, Luca Pulina, Armando Tacchella:
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks. CoRR abs/2011.09933 (2020)
Coauthor Index
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