DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (CIKM, 2021)

Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. - Aurélien Personnaz; Sihem Amer-Yahia; Laure Berti-Équille; Maximilian Fabricius; Srividya Subramanian (aiDM@SIGMOD, 2021)

INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]. - Sihem Amer-Yahia; Georgia Koutrika; Frederic B. Bastian; Theofilos Belmpas; Martin Braschler; Ursin Brunner; Diego Calvanese; Maximilian Fabricius; Orest Gkini; Catherine Kosten; Davide Lanti; Antonis Litke; et al. (CoRR, 2021)

INODE: Building an End-to-End Data Exploration System in Practice. - Sihem Amer-Yahia; Georgia Koutrika; Martin Braschler; Diego Calvanese; Davide Lanti; Hendrik Lücke-Tieke; Alessandro Mosca 001; Tarcisio Mendes de Farias; Dimitris Papadopoulos; Yogendra Patil; Guillem Rull; Ellery Smith; et al. (SIGMOD Rec., 2021)

Designing the evaluation of operator-enabled interactive data exploration in VALIDE. - Yogendra Patil; Sihem Amer-Yahia; Srividya Subramanian (HILDA@SIGMOD, 2022)