Qinbao Song

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Information Systems — 19 citations into it; #3,911 of 8,771 by trust here, #4,012 by citations
• Electrical and Electronic Engineering — 11 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Software — 10 citations into it; #539 of 1,227 by trust here, #489 by citations
• Statistical Learning Theory — 9 citations into it

Whom Qinbao Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jaka Demsar
2. William W. Cohen
3. Igor Kononenko
4. Ron Kohavi
5. Sanmay Das
6. Geoffrey I. Webb
7. Salvador Garcia
8. George H. John
9. Steven L. Salzberg
10. Daphne Koller

Who trusts Qinbao Song overall

1. Verónica Bolón-Canedo
2. Chakkrit Kla Tantithamthavorn
3. Shuo Wang
4. Noelia Sánchez-Maroño
5. Jie Cai
6. Xuelian Deng
7. Shane McIntosh
8. Issam Hadj Laradji
9. Ahmed E. Hassan
10. Martin J. Shepperd

Papers from Qinbao Song's perspective

Ordered by how strongly the researchers Qinbao Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data (2013) — 632 citations
• A novel ensemble method for classifying imbalanced data (2015) — 399 citations
• Data Quality: Some Comments on the NASA Software Defect Datasets (2013) — 538 citations
• A General Software Defect-Proneness Prediction Framework (2011) — 381 citations