SPACA

Publications

2021

Shi Hu, Egill A. Fridgeirsson, Guido van Wingen, Max Welling
Transformer-Based Deep Survival Analysis. SPACA (2021)
Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Exploring the Wasserstein metric for time-to-event analysis. SPACA (2021)
Sunil Vasu Kalmady, Weijie Sun, Justin Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding. SPACA (2021)
Xuejian Wang, Wenbin Zhang, Aishwarya Jadhav, Jeremy C. Weiss
Harmonic-Mean Cox Models: A Ruler for Equal Attention to Risk. SPACA (2021)
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. SPACA (2021)
Jeremy Weiss
Wavelet Reconstruction Networks for Marked Point Processes. SPACA (2021)
Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar
Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021. SPACA (2021)
Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains
Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks. SPACA (2021)
Ce Yang, Liqun Diao, Richard Cook
Survival Trees for Current Status Data. SPACA (2021)
David Hubbard, Benoit Rostykus, Yves Raimond, Tony Jebara
Beta Survival Models. SPACA (2021)
Li-Hao Kuan, Russell Greiner
Finding Relevant Features for Different Times in Survival Prediction by Discrete Hazard Bayesian Network. SPACA (2021)
Donald K. K. Lee, Ningyuan Chen, Hemant Ishwaran, Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao
Theory and software for boosted nonparametric hazard estimation. SPACA (2021)
Aliasghar Tarkhan, Noah Simon, Thomas Bengtsson, Trung Kien Nguyen, Jian Dai
Survival Prediction Using Deep Learning. SPACA (2021)
Preston Putzel, Padhraic Smyth, Jaehong Yu, Hua Zhong
Dynamic Survival Analysis with Individualized Truncated Parametric Distributions. SPACA (2021)
Peter Grünwald, Alexander Ly, Muriel Perez-Ortiz, Judith Ter Schure
The Safe Logrank Test: Error Control under Optional Stopping, Continuation and Prior Misspecification. SPACA (2021)
Prasad Bankar, Subhasis Panda, Vaibhav Anand, Vineet Kumar
Risk and Survival Analysis from COVID Outbreak Data: Lessons from India. SPACA (2021)
Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski
Deep Parametric Time-to-Event Regression with Time-Varying Covariates. SPACA (2021)
Di Wang, Wen Ye, Kevin He
Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset. SPACA (2021)
Aziliz Cottin, Nicolas Pécuchet, Marine Zulian, Agathe Guilloux, Sandrine Katsahian
IDNetwork: A deep Illness-Death Network based on multi-states event history process for versatile disease prognostication. SPACA (2021)
Yan Gao, Yan Cui
Multi-ethnic Survival Analysis: Transfer Learning with Cox Neural Networks. SPACA (2021)
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
Semi-Structured Deep Piecewise Exponential Models. SPACA (2021)
Michael Sloma, Fayeq Syed, Mohammedreza Nemati, Kevin S. Xu
Empirical Comparison of Continuous and Discrete-time Representations for Survival Prediction. SPACA (2021)

volume 146, 2021

Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021. SPACA 146 (2021)