• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2021
• 
  Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan:
  RNA alternative splicing prediction with discrete compositional energy network. CHIL 2021: 193-203
• 
  Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
  Enabling counterfactual survival analysis with balanced representations. CHIL 2021: 133-145
• 
  Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba:
  Influenza-like symptom recognition using mobile sensing and graph neural networks. CHIL 2021: 291-300
• 
  David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin:
  Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL 2021: 14-24
• 
  Jean Feng:
  Learning to safely approve updates to machine learning algorithms. CHIL 2021: 164-173
• 
  Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
  Phenotypical ontology driven framework for multi-task learning. CHIL 2021: 183-192
• 
  Danliang Ho, Iain Bee Huat Tan, Mehul Motani:
  Predictive models for colorectal cancer recurrence using multi-modal healthcare data. CHIL 2021: 204-213
• 
  Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar:
  VisualCheXbert: addressing the discrepancy between radiology report labels and image labels. CHIL 2021: 105-115
• 
  Alexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar:
  CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation. CHIL 2021: 116-124
• 
  Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
  Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction. CHIL 2021: 25-35
• 
  Saeed Khorram, Tyler Lawson, Fuxin Li:
  iGOS++: integrated gradient optimized saliency by bilateral perturbations. CHIL 2021: 174-182
• 
  Ori Linial, Neta Ravid, Danny Eytan, Uri Shalit:
  Generative ODE modeling with known unknowns. CHIL 2021: 79-94
• 
  Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff:
  MetaPhys: few-shot adaptation for non-contact physiological measurement. CHIL 2021: 154-163
• 
  Basil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger:
  Modeling longitudinal dynamics of comorbidities. CHIL 2021: 222-235
• 
  Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin:
  T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states. CHIL 2021: 236-245
• 
  Matthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi:
  A comprehensive EHR timeseries pre-training benchmark. CHIL 2021: 257-278
• 
  Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff:
  Concept-based model explanations for electronic health records. CHIL 2021: 36-46
• 
  Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev:
  Trustworthy machine learning for health care: scalable data valuation with the shapley value. CHIL 2021: 47-57
• 
  Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz:
  Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL 2021: 95-104
• 
  Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren:
  CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings. CHIL 2021: 125-132
• 
  Emma Rocheteau, Pietro Liò, Stephanie L. Hyland:
  Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit. CHIL 2021: 58-68
• 
  Shreshth Saini, Young Seok Jeon, Mengling Feng:
  B-SegNet: branched-SegMentor network for skin lesion segmentation. CHIL 2021: 214-221
• 
  Matthew Saponaro, Ajith Vemuri, Greg Dominick, Keith Decker:
  Contextualization and individualization for just-in-time adaptive interventions to reduce sedentary behavior. CHIL 2021: 246-256
• 
  Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho:
  Controlled molecule generator for optimizing multiple chemical properties. CHIL 2021: 146-153
• 
  Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
  Self-supervised transfer learning of physiological representations from free-living wearable data. CHIL 2021: 69-78
• 
  Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi:
  An empirical framework for domain generalization in clinical settings. CHIL 2021: 279-290
• 
  Weicheng Zhu, Narges Razavian:
  Variationally regularized graph-based representation learning for electronic health records. CHIL 2021: 1-13
• 
  Marzyeh Ghassemi, Tristan Naumann, Emma Pierson:
  ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021. ACM 2021, ISBN 978-1-4503-8359-2 [contents]