Vadlamani Ravi

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 179 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 260 citations into it; #7,294 of 35,345 by trust here, #7,346 by citations
• Computer Vision and Pattern Recognition — 110 citations into it
• Management Science and Operations Research — 60 citations into it; #1,593 of 11,946 by trust here, #1,207 by citations
• Information Systems — 59 citations into it
• Model Architectures — 40 citations into it
• Signal Processing — 34 citations into it
• Natural Language Processing — 33 citations into it; #3,277 of 5,688 by trust here, #4,879 by citations
• Accounting — 24 citations into it; #2,216 of 8,970 by trust here, #2,766 by citations

Whom Vadlamani Ravi trusts overall

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

1. Bo Pang
2. Amir F. Atiya
3. Geoffrey E. Hinton
4. Donald F. Specht
5. Kyung-shik Shin
6. Janyce Wiebe
7. Yuhai Wu
8. Minqing Hu
9. Yoshua Bengio
10. Thorsten Joachims

Who trusts Vadlamani Ravi overall

1. Arash Bahrammirzaee
2. Antanas Verikas
3. Longbing Cao
4. Omer Berat Sezer
5. Yuliya Demyanyk
6. Wei-Yang Lin
7. A. Ozbayoglu
8. Zivile Kalsyte
9. M. Ugur Gudelek
10. Frank Xing

Papers from Vadlamani Ravi's perspective

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

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

Their papers

• Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review (2007) — 1,096 citations
• A survey of the applications of text mining in financial domain (2016) — 255 citations
• Soft computing hybrids for FOREX rate prediction: A comprehensive review (2018) — 69 citations
• Detection of financial statement fraud and feature selection using data mining techniques (2011) — 545 citations
• Soft computing system for bank performance prediction (2008) — 182 citations
• A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends (2019) — 402 citations
• A survey on opinion mining and sentiment analysis: Tasks, approaches and applications (2015) — 1,235 citations