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TRACER: A Framework for Facilitating Accurate and Interpretable
  Analytics for High Stakes Applications

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications

24 March 2020
Kaiping Zheng
Shaofeng Cai
H. Chua
Wei Wang
K. Ngiam
Beng Chin Ooi
    AI4TS
ArXivPDFHTML

Papers citing "TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications"

5 / 5 papers shown
Title
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
30
91
0
14 Sep 2022
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
32
84
0
21 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data
ARM-Net: Adaptive Relation Modeling Network for Structured Data
Shaofeng Cai
Kaiping Zheng
Gang Chen
H. V. Jagadish
Beng Chin Ooi
Meihui Zhang
38
50
0
05 Jul 2021
MLCask: Efficient Management of Component Evolution in Collaborative
  Data Analytics Pipelines
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo
Sai-Ho Yeung
Meihui Zhang
Kaiping Zheng
Lei Zhu
Gang Chen
Feiyi Fan
Qian Lin
K. Ngiam
Beng Chin Ooi
46
29
0
17 Oct 2020
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
1