Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivity. - Ritesh Shah; Christian Boitet; Pushpak Bhattacharyya; Mithun Padmakumar; Leonardo Zilio; Ruslan Kalitvianski; Mohammad Nasiruddin; Mutsuko Tomokiyo; Sandra Castellanos-Paez (ICON, 2015)

Learning Macro-actions for State-Space Planning. - Sandra Castellanos-Paez; Damien Pellier; Humbert Fiorino; Sylvie Pesty (CoRR, 2016)

Mining useful Macro-actions in Planning. - Sandra Castellanos-Paez; Damien Pellier; Humbert Fiorino; Sylvie Pesty (CoRR, 2018)

Learning routines for sequential decision-making. (Apprentissage de routines pour la prise de décision séquentielle). - Sandra Castellanos-Paez (2019)

ERA: Extracting Planning Macro-Operators from Adjacent and Non-adjacent Sequences. - Sandra Castellanos-Paez; Romain Rombourg; Philippe Lalanda (PKAW, 2020)

On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter? - Sandra Castellanos-Paez; Romain Rombourg; Philippe Lalanda (ICAART (2), 2021)

Automated Planning to Evolve Smart Grids with Renewable Energies. - Sandra Castellanos-Paez; Marie-Cécile Alvarez-Herault; Philippe Lalanda (AI4KMES@IJCAI, 2021)

Evaluation of Regularization-based Continual Learning Approaches: Application to HAR. - Bonpagna Kann; Sandra Castellanos-Paez; Philippe Lalanda (PerCom Workshops, 2023)

Leveraging Task-Specific VAEs for Efficient Exemplar Generation in HAR. - Bonpagna Kann; Sandra Castellanos-Paez; Romain Rombourg; Philippe Lalanda (IFIPIoT (1), 2024)

Cross-Dataset Continual Learning: Assessing Pre-Trained Models to Enhance Generalization in HAR. - Bonpagna Kann; Sandra Castellanos-Paez; Philippe Lalanda (PerCom Workshops, 2024)

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition. - Bonpagna Kann; Sandra Castellanos-Paez; Romain Rombourg; Philippe Lalanda (CoRR, 2025)