Paresh Chandra Deka
Applied Soft Computing · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Whom Paresh Chandra Deka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Paresh Chandra Deka overall
Papers from Paresh Chandra Deka's perspective
Ordered by how strongly the researchers Paresh Chandra Deka trusts endorse each paper. Same corpus, a different order for every researcher.
- Support-Vector Networks
- The Nature of Statistical Learning
- Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
- EC-SVM approach for real-time hydrologic forecasting
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Networks for Pattern Recognition
- Distilling the Knowledge in a Neural Network (arXiv.org)
- The Nature of Statistical Learning Theory
Their papers
- Support vector machine applications in the field of hydrology: A review (2014) — 687 citations
- Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting (2017) — 133 citations