Dhruba Kumar Bhattacharyya

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #13,742 of 35,345 by trust here, #14,438 by citations
• Computer Networks and Communications — 36 citations into it; #3,058 of 9,886 by trust here, #3,155 by citations
• Signal Processing — 17 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Information Systems — 11 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Molecular Biology — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Dhruba Kumar Bhattacharyya trusts overall

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

1. Huan Liu
2. J. Ross Quinlan
3. Robert E. Schapire
4. Thomas G. Dietterich
5. Teuvo Kohonen
6. Eleazar Eskin
7. Niko Speybroeck
8. Roberto Perdisci
9. Manoranjan Dash
10. Salvatore J. Stolfo

Who trusts Dhruba Kumar Bhattacharyya overall

1. Paulo Angelo Alves Resende
2. Anna L. Buczak
3. B. Ingre
4. Ke He
5. M. F. Elrawy
6. Prachi Agrawal
7. Ali Bou Nassif
8. Milos D. Radovic
9. Fannia Pacheco
10. Daokun Zhang

Papers from Dhruba Kumar Bhattacharyya's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Nature of Statistical Learning Theory
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Learning Multiple Layers of Features from Tiny Images
8. Et al
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• MIFS-ND: A mutual information-based feature selection method (2014) — 421 citations
• Network Anomaly Detection: Methods, Systems and Tools (2014) — 1,294 citations