MLFPM Publications

  1. Duroux Diane, Climente-González Héctor, Wienbrandt Lars, and Van Steen Kristel. (2020). Network Aggregation to Enhance Results Derived from Multiple Analytics. In Artificial Intelligence Applications and Innovations. AIAI 2020. IFIP Advances in Information and Communication Technology, vol 583. Springer, Cham.
  2. Michal Chorev, Yoel Shoshan, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guind, and Michal Rosen-Zvi. (2020). The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12266. Springer, Cham.
  3. Giulia Muzio*, Leslie O’Bray* and Karsten Borgwardt (* = equal contribution). (2020). Biological network analysis with deep learning. Briefings in Bioinformatics 2020, bbaa257.
  4. Emese Sükei, Agnes Norbury, M Mercedes Perez-Rodriguez, Pable M Olmos, and Antonio Artés. (2021). Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach. JMIR Mhealth Uhealth 2021; 9(3): e24465.