Workshops

New Horizons of Online Learning



Abstract: The workshop is intended to explore the boundaries of online learning and related areas or new/alternative formulations of online decision-making. The workshop is half a day long and consists of invited and contributed talks.

Organizers:
  • Kohei Hatano, Kyushu University
  • Eiji Takimoto, Kyushu University
  • Atsuyoshi Nakamura, Hokkaido University
  • Junya Honda, Kyoto University

Pattern Recognition in Healthcare Analytics (PRHA)



Abstract: A vast amount of digital health data has become accessible to clinical and machine learning researchers. Thus, healthcare has become a prominent field that benefits from data-driven techniques. In parallel, machine learning for healthcare has emerged to develop models to assist physicians and clinical researchers in solving complex healthcare tasks and clinical decision-making. Machine learning and deep learning-based approaches have been successfully applied to various healthcare tasks, such as risk prediction and diagnosis prediction. However, digital patient data retain multiple challenges. For instance, high-dimensional, non-linear, temporal, distributed, and sensitive patient data pose additional requirements while designing machine learning models. The 2nd PRHA workshop aims to showcase the emerging challenges in bioinformatics and digital health with their latest solutions in machine learning and provide an outlet for interdisciplinary collaborations. The workshop's scope entails but is not limited to
  • bioinformatics,
  • patient phenotyping and subtyping,
  • patient monitoring, machine learning in pervasive healthcare,
  • multi-modal learning for disease prediction and treatment effects,
  • temporal modeling for disease progression,
  • interpretable models for clinical decision support, and
  • privacy-preserving techniques for distributed and sensitive patient data.
Organizers:
  • Bert Arnrich, Hasso Plattner Institute (HPI) and University of Potsdam
  • Arzucan Özgür, Boğaziçi University
  • İnci M. Baytaş, Boğaziçi University