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Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction.

, , , , , and . IJCAI, page 3861-3867. ijcai.org, (2022)

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Regression with Sensor Data Containing Incomplete Observations., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15911-15927. PMLR, (2023)Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction., , , , , and . IJCAI, page 3861-3867. ijcai.org, (2022)Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data., , and . ICASSP, page 3002-3006. IEEE, (2020)Consistent and Efficient Nonparametric Different-Feature Selection., , , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 130-138. PMLR, (2017)Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder., , , , , , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 451-454. AAAI Press, (2018)Information Fusion Based Learning for Frugal Traffic State Sensing., , , , and . IJCAI, page 2826-2832. IJCAI/AAAI, (2013)Feature Set for a Prediction Model of Diabetic Kidney Disease Progression., , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 1289-1290. IOS Press, (2020)Bayesian regression selecting valuable subset from mixed bag training data., and . ICPR, page 2580-2585. IEEE, (2016)Frugal signal control using low resolution web-camera and traffic flow estimation., , , and . WSC, page 2082-2091. IEEE/ACM, (2014)Posterior mean super-resolution with a compound Gaussian Markov random field prior., and . ICASSP, page 841-844. IEEE, (2012)