| Pure-Past Linear Temporal and Dynamic Logic on Finite Traces G De Giacomo, A Di Stasio, F Fuggitti, S Rubin Twenty-Ninth International Joint Conference on Artificial Intelligence and …, 2020 | 46 | 2020 |
| Planning for temporally extended goals in pure-past linear temporal logic L Bonassi, G De Giacomo, M Favorito, F Fuggitti, AE Gerevini, E Scala Proceedings of the International Conference on Automated Planning and …, 2023 | 13 | 2023 |
| NL2LTL–a python package for converting natural language (NL) instructions to linear temporal logic (LTL) formulas F Fuggitti, T Chakraborti Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16428 …, 2023 | 13 | 2023 |
| From natural language to workflows: Towards emergent intelligence in robotic process automation T Chakraborti, Y Rizk, V Isahagian, B Aksar, F Fuggitti International Conference on Business Process Management, 123-137, 2022 | 13 | 2022 |
| LTLf2DFA F Fuggitti 10.5281/zenodo.3888410, 2019 | 12 | 2019 |
| Planning for temporally extended goals in pure-past linear temporal logic: A polynomial reduction to standard planning G De Giacomo, M Favorito, F Fuggitti arXiv preprint arXiv:2204.09960, 2022 | 9 | 2022 |
| FOND planning for pure-past linear temporal logic goals L Bonassi, G De Giacomo, M Favorito, F Fuggitti, AE Gerevini, E Scala ECAI 2023, 279-286, 2023 | 5 | 2023 |
| Recognizing LTLf/PLTLf Goals in Fully Observable Non-Deterministic Domain Models R Fraga Pereira, F Fuggitti, G De Giacomo arXiv preprint arXiv:2103.11692, 2021 | 4 | 2021 |
| FOND4LTL: FOND Planning for LTL//PLTL/Goals as a Service G De Giacomo, F Fuggitti | 3 | 2021 |
| Efficient Techniques for Automated Planning for Goals in Linear Temporal Logics on Finite Traces F Fuggitti York University Toronto, 2023 | 2 | 2023 |
| LTL and Past LTL on Finite Traces for Planning and Declarative Process Mining F Fuggitti Sapienza Univ. of Rome, 2018 | 2 | 2018 |
| LTLf2DFA, March 2019 F Fuggitti URL https://doi. org/10.5281/zenodo 3888410, 0 | 2 | |
| Temporally extended goal recognition in fully observable non-deterministic domain models RF Pereira, F Fuggitti, F Meneguzzi, G De Giacomo Applied Intelligence 54 (1), 470-489, 2024 | 1 | 2024 |
| A tool for declarative Trace Alignment via automated planning G De Giacomo, F Fuggitti, FM Maggi, A Marrella, F Patrizi Software Impacts 16, 100505, 2023 | 1 | 2023 |
| FOND Planning for LTLf and PLTLf Goals F Fuggitti arXiv preprint arXiv:2004.07027, 2020 | 1 | 2020 |
| Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction T Chakraborti, J Kang, F Fuggitti, M Katz, S Sohrabi Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23775 …, 2024 | | 2024 |
| Lemming: A Tool for Guided Plan Selection using Landmarks J koo Kang, T Chakraborti, M Katz, S Sohrabi, F Fuggitti International Conference on Automated Planning and Scheduling, 2023 | | 2023 |
| Temporally Extended Goal Recognition in Fully Observable Non-Deterministic Domain Models R Fraga Pereira, F Fuggitti, F Meneguzzi, G De Giacomo arXiv e-prints, arXiv: 2306.08680, 2023 | | 2023 |
| Lemming: A Tool for Guided Plan Selection using Landmarks J Kang, T Chakraborti, M Katz, S Sohrabi, F Fuggitti | | |
| Declarative Trace Alignment via Automated Planning G Acitelli, G De Giacomo, F Fuggitti, FM Maggi, A Marrella, F Patrizi | | |
Giuseppe De GiacomoUniversity of Oxford & Sapienza Università di Roma在 diag.uniroma1.it 的电子邮件经过验证
