Wei‐Chao Lin
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it
- Statistics and Probability — 15 citations into it
- Information Systems — 14 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Computer Networks and Communications — 11 citations into it
- Health Information Management — 8 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Wei‐Chao Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Anil K. Jain
- Taeshik Shon
- Latifur R. Khan
- Weiming Hu
- Leo Breiman
- G. Wang
- Sandhya Peddabachigari
- Nikos Tsikriktsis
- Jongsub Moon
Who trusts Wei‐Chao Lin overall
- Tlamelo Emmanuel
- Azal Ahmad Khan
- Tarid Wongvorachan
- Felix Last
- Preeti Mishra
- Tuong Le
- V. Varadharajan
- Thabiso M. Maupong
- Omkar Chaudhari
- Surina He
Papers from Wei‐Chao Lin's perspective
Ordered by how strongly the researchers Wei‐Chao Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Experiments with a New Boosting Algorithm
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- The Nature of Statistical Learning Theory
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Missing value imputation: a review and analysis of the literature (2006–2017) (2019) — 549 citations
- Under-sampling class imbalanced datasets by combining clustering analysis and instance selection (2019) — 295 citations
- Clustering-based undersampling in class-imbalanced data (2017) — 783 citations
- SVM and SVM Ensembles in Breast Cancer Prediction (2017) — 304 citations
- CANN: An intrusion detection system based on combining cluster centers and nearest neighbors (2015) — 514 citations