Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. - Luana Micallef; Iiris Sundin; Pekka Marttinen; Muhammad Ammad-ud-din; Tomi Peltola; Marta Soare; Giulio Jacucci; Samuel Kaski (IUI, 2017)

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. - Iiris Sundin; Tomi Peltola; Muntasir Mamun Majumder; Pedram Daee; Marta Soare; Homayun Afrabandpey; Caroline Heckman; Samuel Kaski; Pekka Marttinen (CoRR, 2017)

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. - Iiris Sundin; Tomi Peltola; Luana Micallef; Homayun Afrabandpey; Marta Soare; Muntasir Mamun Majumder; Pedram Daee; Chen He 003; Baris Serim; Aki S. Havulinna; Caroline Heckman; Giulio Jacucci; et al. (Bioinform., 2018)

Active Learning for Decision-Making from Imbalanced Observational Data. - Iiris Sundin; Peter Schulam; Eero Siivola; Aki Vehtari; Suchi Saria; Samuel Kaski (ICML, 2019)

Human-in-the-loop assisted de novo molecular design. - Iiris Sundin; Alexey Voronov; Haoping Xiao; Kostas Papadopoulos; Esben Jannik Bjerrum; Markus Heinonen; Atanas Patronov; Samuel Kaski; Ola Engkvist (J. Cheminformatics, 2022)

Interactive Knowledge Elicitation for Decision-Support Models in Precision Medicine ; Vuorovaikutteisia koneoppimismenetelmiä asiantuntijatiedon tuomiseen laskennallisiin malleihin täsmälääketieteen päätöksenteon tueksi. - Iiris Sundin (2023)

Targeted Active Learning for Bayesian Decision-Making. - Louis Filstroff; Iiris Sundin; Petrus Mikkola; Aleksei Tiulpin; Juuso Kylmäoja; Samuel Kaski (Trans. Mach. Learn. Res., 2024)