Anuradha Chug

SPIN · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Anuradha Chug trusts overall

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

1. Johan A. K. Suykens
2. Gustavo E. A. P. A. Batista
3. Alvaro Fuentes

Papers from Anuradha Chug's perspective

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

1. A study of the behavior of several methods for balancing machine learning training data
2. Least Squares Support Vector Machine Classifiers
3. Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
4. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition (Italian National Conference on Sensors)
5. Support-Vector Networks
6. Instance-based learning algorithms
7. The Nature of Statistical Learning Theory
8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
9. Statistical Learning Theory
10. MetaCost: a general method for making classifiers cost-sensitive

Their papers

• Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant (2020) — 53 citations