Shonali Priyadarsini Krishnaswamy

Artificial Intelligence · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #15,207 of 35,345 by trust here, #13,544 by citations
• Signal Processing — 33 citations into it; #3,166 of 7,572 by trust here, #2,001 by citations
• Information Systems — 31 citations into it
• Computer Networks and Communications — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Shonali Priyadarsini Krishnaswamy trusts overall

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

1. Charu C. Aggarwal
2. Pedro M. Domingos
3. Geoff Hulten
4. Jiawei Han
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Alex Krizhevsky
8. Sudipto Guha
9. Liadan O'Callaghan
10. Yann LeCun

Who trusts Shonali Priyadarsini Krishnaswamy overall

1. Michael Hahsler
2. Geoffrey I. Webb
3. Hai-Long Nguyen

Papers from Shonali Priyadarsini Krishnaswamy's perspective

Ordered by how strongly the researchers Shonali Priyadarsini Krishnaswamy 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. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition (2015) — 1,181 citations
• Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation (2015) — 359 citations
• A Survey of Classification Methods in Data Streams (2007) — 111 citations
• Mining data streams: a review (2005) — 1,065 citations