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Sophie Fortz
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2020 – today
- 2024
- [j1]Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin:
VaryMinions: leveraging RNNs to identify variants in variability-intensive systems' logs. Empir. Softw. Eng. 29(4): 99 (2024) - [c8]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. ESEM 2024: 475-481 - [c7]Sophie Fortz, Paul Temple, Xavier Devroey, Gilles Perrouin:
Towards Feature-based ML-enabled Behaviour Location. VaMoS 2024: 152-154 - [i3]Avner Bensoussan, Elena Chachkarova, Karine Even-Mendoza, Sophie Fortz, Connor Lenihan:
Accelerating Quantum Eigensolver Algorithms With Machine Learning. CoRR abs/2409.13587 (2024) - [i2]Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. CoRR abs/2409.19028 (2024) - 2023
- [c6]Sophie Fortz:
Variability-aware Behavioural Learning. SPLC (B) 2023: 11-15 - 2021
- [c5]Edilton Lima dos Santos, Sophie Fortz, Gilles Perrouin, Pierre-Yves Schobbens:
A Vision to identify Architectural Smells in Self-Adaptive Systems using Behavioral Maps (short paper). ECSA (Companion) 2021 - [c4]Edilton Lima dos Santos, Sophie Fortz, Pierre-Yves Schobbens, Gilles Perrouin:
Behavioral Maps: Identifying Architectural Smells in Self-adaptive Systems at Runtime. ECSA (Tracks and Workshops) 2021: 159-180 - [c3]Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin:
VaryMinions: leveraging RNNs to identify variants in event logs. MaLTeSQuE@ESEC/SIGSOFT FSE 2021: 13-18 - [c2]Sophie Fortz:
LIFTS: learning featured transition systems. SPLC (B) 2021: 1-6 - 2020
- [c1]Sophie Fortz, Fred Mesnard, Étienne Payet, Gilles Perrouin, Wim Vanhoof, Germán Vidal:
An SMT-Based Concolic Testing Tool for Logic Programs. FLOPS 2020: 215-219 - [i1]Sophie Fortz, Fred Mesnard, Étienne Payet, Gilles Perrouin, Wim Vanhoof, Germán Vidal:
An SMT-Based Concolic Testing Tool for Logic Programs. CoRR abs/2002.07115 (2020)
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last updated on 2024-10-23 20:29 CEST by the dblp team
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