Asoke Kumar Nandi
Computer Vision and Pattern Recognition · 2001–2020
A researcher in the Science corpus: 8 papers; trusts 220 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 134 citations into it
- Artificial Intelligence — 95 citations into it
- Media Technology — 20 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Molecular Biology — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Signal Processing — 7 citations into it
- Statistics and Probability — 6 citations into it
Whom Asoke Kumar Nandi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- John R. Koza
- Lieven De Lathauwer
- Christian Szegedy
- Yoshua Bengio
- Ross B. Girshick
- Yann LeCun
- Albert Y. Kim
Who trusts Asoke Kumar Nandi overall
Papers from Asoke Kumar Nandi's perspective
Ordered by how strongly the researchers Asoke Kumar Nandi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Medical Image Segmentation Using Deep Learning: A Survey (2020) — 865 citations
- Applications of machine learning to machine fault diagnosis: A review and roadmap (2020) — 2,573 citations
- Credit Card Fraud Detection Using AdaBoost and Majority Voting (2019) — 405 citations
- Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation (2019) — 303 citations
- Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering (2018) — 385 citations
- Automatic Modulation Classification Using Combination of Genetic Programming and KNN (2012) — 323 citations
- FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS (2002) — 399 citations
- Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation (2001) — 343 citations