Table Extraction and Understanding for Scientific and Enterprise Applications
- Douglas Burdick
- Marina Danilevsky
- et al.
- 2019
- ICDM 2019
Publications
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12 results at ICDM 2019
Contrast feature dependency pattern mining for controlled experiments with application to driving behavior
- Qingzhe Li
- Liang Zhao
- et al.
- 2019
- ICDM 2019
MTEX-CNN: Multivariate time series explanations for predictions with convolutional neural networks
- Roy Assaf
- Ioana Giurgiu
- et al.
- 2019
- ICDM 2019
DynGraph2Seq: Dynamic-graph-to-sequence interpretable learning for health stage prediction in online health forums
- Yuyang Gao
- Lingfei Wu
- et al.
- 2019
- ICDM 2019
Improving spectral clustering with deep embedding and cluster estimation
- Liang Duan
- Charu Aggarwal
- et al.
- 2019
- ICDM 2019
Automated feature enhancement for predictive modeling using external knowledge
- Sainyam Galhotra
- Udayan Khurana
- et al.
- 2019
- ICDM 2019
Nearest neighbor classifiers versus random forests and support vector machines
- Saket Sathe
- Charu Aggarwal
- 2019
- ICDM 2019
Combining micro and macro features for online pattern-of-life movement prediction
- Shiau Hong Lim
- Hasan Poonawala
- et al.
- 2019
- ICDM 2019
Generative oversampling with a contrastive variational autoencoder
- Wangzhi Dai
- Kenney Ng
- et al.
- 2019
- ICDM 2019
Self-attentive attributed network embedding through adversarial learning
- Wenchao Yu
- Wei Cheng
- et al.
- 2019
- ICDM 2019