3.1k citations
- Instituto de Biocomputación y Física de Sistemas Complejos12 papers
- Michigan Technological UniversityUS11 papers
- Indiana University BloomingtonUS10 papers
- University of VirginiaUS10 papers
- Jiangsu Province HospitalCN8 papers
- Nanjing Medical UniversityCN8 papers
- Arizona State UniversityUS6 papers
- Universidad de ZaragozaES6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Universidad Complutense de MadridES5 papers
- Fundacion Agencia Aragonesa para la Investigacion y el DesarrolloES4 papers
- University of MichiganUS4 papers
Showing cs.LGShow all
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cs.LG2023
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
Kristoffer Larsen, Chen Zhao, Joyce Keyak +7
Aims. The purpose of this study is to create a multi-stage machine learning model to predict cardiac resynchronization therapy (CRT) response for heart failure (HF) patients. This…
cs.LG2022★ 7 cited
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
Chen Zhao, Joyce H Keyak, Xuewei Cao +10
The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion. Method: We developed new models using multi…
cs.LG2020★ 4 cited
PAC-Learning for Strategic Classification
Ravi Sundaram, Anil Vullikanti, Haifeng Xu +1
The study of strategic or adversarial manipulation of testing data to fool a classifier has attracted much recent attention. Most previous works have focused on two extreme situati…