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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Hidden Markov models for zero‐inflated Poisson counts with an application to substance use 2011 Stacia M. DeSantis
Dipankar Bandyopadhyay
1
+ Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction 2016 Edward Choi
Andy Schuetz
Walter F. Stewart
Jimeng Sun
1
+ Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach 1988 Elizabeth R. DeLong
David M. DeLong
Daniel L. Clarke‐Pearson
1
+ Hybrid Recommender System Based on Personal Behavior Mining 2016 Zhiyuan Fang
Lingqi Zhang
Kun Chen
1
+ Structured Inference Networks for Nonlinear State Space Models 2016 Rahul G. Krishnan
Uri Shalit
David Sontag
1
+ PDF Chat Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes 2017 Ahmed M. Alaa
Jinsung Yoon
Scott Hu
Mihaela van der Schaar
1
+ Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets 2017 Sanjay Purushotham
Chuizheng Meng
Zhengping Che
Yan Liu
1
+ UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction 2018 Leland McInnes
John J. Healy
1
+ Sequential Behavioral Data Processing Using Deep Learning and the Markov Transition Field in Online Fraud Detection 2018 Ruinan Zhang
Fanglan Zheng
Wei Min
1
+ PDF Chat Heterogeneous Graph Neural Networks for Malicious Account Detection 2018 Ziqi Liu
Chaochao Chen
Xinxing Yang
Jun Zhou
Xiaolong Li
Le Song
1
+ Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification 2018 Edward De Brouwer
Jaak Simm
Ádám Arany
Yves Moreau
1
+ Modeling Irregularly Sampled Clinical Time Series 2018 Satya Narayan Shukla
Benjamin M. Marlin
1
+ Watch Your Step: Learning Node Embeddings via Graph Attention 2017 Sami Abu-El-Haija
Bryan Perozzi
Rami Al‐Rfou
Alex Alemi
1
+ Black Box Variational Inference 2014 Rajesh Ranganath
Sean Gerrish
David M. Blei
1
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
1
+ PDF Chat Structured Inference Networks for Nonlinear State Space Models 2017 Rahul Krishnan
Uri Shalit
David Sontag
1
+ Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling 2019 Rui Meng
Soper Braden
Jan F. Nygård
Mari Nygrad
Herbert Lee
1
+ PDF Chat Behavior sequence transformer for e-commerce recommendation in Alibaba 2019 Qiwei Chen
Huan Zhao
Wei Li
Pipei Huang
Wenwu Ou
1
+ A Time Attention based Fraud Transaction Detection Framework 2019 Longfei Li
Liu Zi-qi
Chaochao Chen
Yalin Zhang
Jun Zhou
Xiaolong Li
1
+ Patient Similarity Analysis with Longitudinal Health Data 2020 Ahmed Allam
Matthias Dittberner
Anna Sintsova
Dominique Brodbeck
Michael Krauthammer
1
+ PDF Chat Multivariate Hidden Markov Models for disease progression 2020 Andrea Martino
Giuseppina Guatteri
Anna Maria Paganoni
1
+ PDF Chat Dipole 2017 Fenglong Ma
Radha Chitta
Jing Zhou
Quanzeng You
Tong Sun
Jing Gao
1
+ PDF Chat Multitask learning and benchmarking with clinical time series data 2019 Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
1
+ PDF Chat Hidden Markov models for alcoholism treatment trial data 2010 Kenneth E. Shirley
Dylan S. Small
Kevin G. Lynch
Stephen A. Maisto
David W. Oslin
1
+ Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection 2021 Wei Min
Weiming Liang
Hang Yin
Zhurong Wang
Mei Li
Alok Lal
1
+ PDF Chat Estimating Risk-Adjusted Hospital Performance 2020 Eva van Weenen
Stefan Feuerriegel
1
+ Graph neural networks: A review of methods and applications 2020 Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
1
+ PDF Chat Sequential Tests of Statistical Hypotheses 1945 A. Wald
1
+ Inductive Representation Learning on Large Graphs 2017 William L. Hamilton
Rex Ying
Jure Leskovec
1