Accepted Papers & Awards

Best Paper Awards:

• Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation
  Ramtin Keramati (Stanford University); Omer Gottesman (Brown University); Leo Celi (BIDMC); Finale Doshi-Velez (Harvard University); Emma Brunskill (Stanford University)

• GAM Changer: Editing Generalized Additive Models with Interactive Visualization
  Zijie J Wang (Georgia Institute of Technology); Alex Kale (University of Washington); Harsha Nori (Microsoft Research); Peter Stella (NYU Langone Health); Mark Nunnally (NYU Langone Health); Duen Horng Chau (Georgia Institute of Technology); Mihaela Vorvoreanu (Microsoft Research); Jennifer Wortman Vaughan (Microsoft Research); Rich Caruana (Microsoft Research)

Best Reviewer Award:

• Eugene Bykovets, ETH Zurich, Switzerland

• Trenton Chang, University of Michigan, USA

Posters

• Survival-oriented Embeddings for Improving Accessibility to Complex Data Structures
  Tobias Weber (LMU Munich); Michael Ingrisch (LMU Munich); Matthias Fabritius (LMU Munich); Bernd Bischl (LMU Munich); David Ruegamer (LMU Munich)

• What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
  Betty van Aken (Beuth University of Applied Sciences Berlin); Sebastian Herrmann (Beuth University of Applied Sciences Berlin ); Alexander Löser (Beuth Hochschule für Technik Berlin)

• Longitudinal Fairness with Censorship
  Wenbin Zhang (Carnegie Mellon University); Jeremy C Weiss (Carnegie Mellon University)

• A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
  Xiaoqing Tan (University of Pittsburgh)

• Interpretable Data Analysis for Bench-to-Bedside Research
  Zohreh Shams (University of Cambridge); Botty Dimanov (University of Cambridge); Sumaiyah Kola (University of Cambridge); Nikola Simidjievski (University of Cambridge ); Helena Andres Terre (University of Cambridge); Paul M Scherer (University of Cambridge); Urška Matjašec (University of Cambridge); Jean Abraham (University of Cambridge); Mateja Jamnik (University of Cambridge); Pietro Lió (University of Cambridge)

• Transferring Multi-Omics Survival Models to Clinical Settings Through Linear Surrogate Models
  David N Wissel (ETH Zürich); Daniel Rowson (ETH Zürich); Valentina Boeva (ETH Zürich)

• Contextualized Representation Learning in Biomedical Word Sense Disambiguation
  Mozhgan Saeidi (Dalhousie University)

• Interpretable Electrocardiogram Mapping to Detect Decreased Cardiac Contraction
  Hirotoshi Takeuchi (University of Tokyo); Satoshi Kodera (University of Tokyo); Mitsuhiko Nakamoto (University of Tokyo); Shinnosuke Sawano (University of Tokyo); Susumu Katushika (University of Tokyo)

• Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
  Francesca Palermo (Imperial College London); Honglin Li (Imperial College London); Alexander Capstick (Imperial College London); Nan Fletcher-Lloyd (Imperial College London); Yuhen Zhao (Imperial College London); Samaneh Kouchaki (Imperial College London); Ramin Nilforooshan (UK Dementia Research Institute); David Sharp (Imperial College London); Payam Barnaghi (Imperial College London)

• Type Safety and Disambiguation of Depression
  Michael A Yee (EleutherAI)

• Automated Supervised Feature Selection for Differentiated Patterns of Care
  Catherine Wanjiru (Carnegie Mellon University Africa); William Ogallo (IBM Research); Girmaw Abebe Tadesse (IBM Research); Charles Wachira (IBM Research); Isaiah Onando Mulang' (IBM Research - Africa); Aisha Walcott-Bryant (IBM Research - Africa)

• Harmonizing Attention: Attention Map Consistency For Unsupervised Fine-Tuning
  Ali Mirzazadeh (Georgia Institute of Technology); Florian Dubost (Stanford University); Maxwell Pike (Stanford University); Krish Maniar (Stanford University); Daniel Y Fu (Stanford University); Khaled K Saab (Stanford University); Christopher Lee-Messer (Stanford University); Daniel Rubin

• Post-discovery Analysis of Anomalous Subsets
  Isaiah Onando Mulang' (IBM Research - Africa); William Ogallo (IBM Research); Girmaw Abebe Tadesse (IBM Research); Aisha Walcott-Bryant (IBM Research - Africa)

• Robust Interpretable Rule Learning to Identify Expertise Transfer Opportunities in Healthcare
  Willa Potosnak; Sebastian Caldas (Carnegie Mellon University); Keith Dufendach (UPMC); Giles Clermont (University of Pittsburgh); James K Miller (Carnegie Mellon University); Artur Dubrawski (Carnegie Mellon University)

• Predicting Sufficiency for Hemorrhage Resuscitation Using Non-invasive Physiological Data without Reference to Personal Baselines
  Xinyu Li (Carnegie Mellon University); Michael R Pinsky (University of Pittsburgh); Artur Dubrawski (Carnegie Mellon University)

• Neuroweaver: Towards a Platform for Designing Translatable Intelligent Closed-loop Neuromodulation Systems
  Parisa Sarikhani (Emory University); Hao-Lun Hsu (Georgia Institute of Technology); Joon Kyung Kim (University of California, San Diego); Sean Kinzer (University of California, San Diego); Edwin Mascarenhas (University of California, San Diego); Hadi Esmaeilzadeh (University of California, San Diego); Babak Mahmoudi (Emory University)

• A Conservative Q-Learning approach for handling distributional shift in sepsis treatment strategies
  Pramod Kaushik (International Institute of Information Technology Hyderabad); Sneha Kummetha (Independent Researcher); Perusha Moodley (Independent Researcher); Raju Surampudi Bapi (International Institute of Information Technology Hyderabad)