Manoranjan Dash

Artificial Intelligence · 1997–2007

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 119 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #3,598 of 35,345 by trust here, #6,193 by citations
• Statistical Learning Theory — 11 citations into it; #178 of 1,038 by trust here, #180 by citations
• Molecular Biology — 11 citations into it; #5,725 of 17,773 by trust here, #11,818 by citations
• Evaluation & Benchmarks — 8 citations into it; #323 of 3,147 by trust here, #920 by citations
• Algorithms & Complexity — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Information Systems — 6 citations into it; #1,194 of 8,771 by trust here, #2,013 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #3,967 of 21,575 by trust here, #6,873 by citations

Whom Manoranjan Dash trusts overall

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

1. Ron Kohavi
2. Huan Liu
3. George H. John
4. Daphne Koller
5. J. Ross Quinlan
6. Avrim Blum
7. Mehran Sahami
8. Jennifer G. Dy
9. YongSeog Kim
10. Igor Kononenko

Who trusts Manoranjan Dash overall

1. Huan Liu
2. Lei Yu
3. Richard Jensen
4. Zexuan Zhu
5. Qiang Shen
6. Qinghua Hu
7. Verónica Bolón-Canedo
8. Zheng Zhao
9. Bing Xue
10. Tao Liu

Papers from Manoranjan Dash's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. UCI Repository of machine learning databases
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. The Nature of Statistical Learning Theory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Pattern classification and scene analysis

Their papers

• Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework (2007) — 469 citations
• Markov blanket-embedded genetic algorithm for gene selection (2007) — 472 citations
• Consistency-based search in feature selection (2003) — 931 citations
• Discretization: An Enabling Technique (2002) — 1,092 citations
• Feature selection for clustering - a filter solution (2002) — 448 citations
• Feature Selection for Clustering (2000) — 331 citations
• Feature Selection for Classification (1997)