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ORCIDML4H@NeurIPS 2020: Virtual Event
- Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland:
Machine Learning for Health Workshop, ML4H@NeurIPS 2020, Virtual Event, 11 December 2020. Proceedings of Machine Learning Research 136, PMLR 2020 - Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland:
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. 1-11 - Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad:
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. 12-40 - Wangzhi Dai, Collin M. Stultz:
Quantifying Common Support between Multiple Treatment Groups Using a Contrastive-VAE. 41-52 - Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler:
A {B. 53-84 - Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla:
Neural Temporal Point Processes For Modelling Electronic Health Records. 85-113 - Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li:
Parkinsonian {C. 114-125 - David Josephs, Carson Drake, Andy Heroy, John Santerre:
sEMG Gesture Recognition with a Simple Model of Attention. 126-138 - Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi:
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. 139-160 - Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar:
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches. 161-178 - Young Joon Kwon, Danielle Toussie, Lea Azour, Jose Concepcion, Corey Eber, G. Anthony Reina, Ping Tak Peter Tang, Amish H. Doshi, Eric K. Oermann, Anthony B. Costa:
Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images. 179-193 - Fabian Laumer, Gabriel Fringeli, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann:
DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds. 194-212 - David Leeftink, Max Hinne:
Spectral discontinuity design: Interrupted time series with spectral mixture kernels. 213-225 - Pouria Mashouri, Marta Skreta, John Phillips, Dianna McAllister, Melissa Roy, Senthujan Senkaiahliyan, Michael Brudno, Devin Singh:
3D Photography Based Neural Network Craniosynostosis Triaging System. 226-237 - Mostafa Neo Mohsenvand, Mohammad Rasool Izadi, Pattie Maes:
Contrastive Representation Learning for Electroencephalogram Classification. 238-253 - Philip Nadler, Rossella Arcucci, Yike Guo:
A Neural SIR Model for Global Forecasting. 254-266 - Sam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray:
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. 267-279 - Luis Oala
, Jana Fehr, Luca Gilli, Pradeep Balachandran, Alixandro Werneck Leite, Saúl Calderón Ramírez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand:
ML4H Auditing: From Paper to Practice. 280-317 - Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren:
CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness. 318-327 - Karin Stacke, Claes Lundström, Gabriel Eilertsen:
Evaluation of Contrastive Predictive Coding for Histopathology Applications. 328-340 - Dennis Ulmer, Lotta Meijerink, Giovanni Cinà:
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. 341-354 - Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. 355-366 - Neeraj Wagh, Yogatheesan Varatharajah:
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. 367-378 - Shirly Wang, Seung Eun Yi, Shalmali Joshi, Marzyeh Ghassemi:
Confounding Feature Acquisition for Causal Effect Estimation. 379-396 - Jeremy C. Weiss:
TL-Lite: Temporal Visualization and Learning for Clinical Forecasting. 397-414 - Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, Yuan Liu:
Addressing the Real-world Class Imbalance Problem in Dermatology. 415-429
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