Churn Intent Detection in Multilingual Chatbot Conversations and Social Media. - Christian Abbet; Meryem M'hamdi; Athanasios Giannakopoulos; Robert West; Andreea Hossmann; Michael Baeriswyl; Claudiu Musat (CoNLL, 2018)

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. - Christian Abbet; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MICCAI (5), 2020)

Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MIDL, 2021)

Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2021)

Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (Medical Image Anal., 2022)

Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (CoRR, 2023)

Self-Supervised Learning for Patient Stratification and Survival Analysis in Computational Pathology: An Application to Colorectal Cancer. - Christian Abbet (2023)

Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (Comput. Biol. Medicine, 2024)