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ORCIDSandra Castellanos-Paez
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2020 – today
- 2024
[c6]Bonpagna Kann, Sandra Castellanos-Paez, Philippe Lalanda:
Cross-Dataset Continual Learning: Assessing Pre-Trained Models to Enhance Generalization in HAR. PerCom Workshops 2024: 1-6- 2023
- [c5]Bonpagna Kann, Sandra Castellanos-Paez, Philippe Lalanda:
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR. PerCom Workshops 2023: 460-465 - [i3]Bonpagna Kann, Sandra Castellanos-Paez, Philippe Lalanda:
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR. CoRR abs/2304.13327 (2023) - 2021
- [c4]Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda:
On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter? ICAART (2) 2021: 1021-1029 - [c3]Sandra Castellanos-Paez
, Marie-Cécile Alvarez-Herault, Philippe Lalanda:
Automated Planning to Evolve Smart Grids with Renewable Energies. AI4KMES@IJCAI 2021: 141-155 - 2020
- [c2]Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda:
ERA: Extracting Planning Macro-Operators from Adjacent and Non-adjacent Sequences. PKAW 2020: 30-45
2010 – 2019
- 2019
- [b1]Sandra Castellanos-Paez:
Learning routines for sequential decision-making. (Apprentissage de routines pour la prise de décision séquentielle). Grenoble Alpes University, France, 2019 - 2018
- [i2]Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
Mining useful Macro-actions in Planning. CoRR abs/1810.09145 (2018) - 2016
- [i1]Sandra Castellanos-Paez, Damien Pellier, Humbert Fiorino, Sylvie Pesty:
Learning Macro-actions for State-Space Planning. CoRR abs/1610.02293 (2016) - 2015
- [c1]Ritesh Shah, Christian Boitet, Pushpak Bhattacharyya, Mithun Padmakumar, Leonardo Zilio, Ruslan Kalitvianski, Mohammad Nasiruddin, Mutsuko Tomokiyo, Sandra Castellanos-Paez:
Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivity. ICON 2015: 325-332
Coauthor Index
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