Ajinkya More

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #7,887 of 35,345 by trust here, #28,481 by citations

Whom Ajinkya More trusts overall

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

1. Nitesh V. Chawla
2. Taeho C. Jo
3. Hui Han
4. Hien M. Nguyen
5. Haibo He
6. Kevin W. Bowyer
7. Nathalie Japkowicz
8. L. Hall
9. Wenyuan Wang
10. Eric W. Cooper

Who trusts Ajinkya More overall

1. Tianxiang Zhao
2. Alexander Amini
3. Peng Wang
4. Dimitrios Kollias
5. Xiang Zhang
6. Ava P. Soleimany
7. Kai Han
8. Panagiotis Tzirakis
9. Suhang Wang
10. Wilko Schwarting

Papers from Ajinkya More's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. Class imbalances versus small disjuncts (SKDD)
3. SMOTEBoost: Improving Prediction of the Minority Class in Boosting
4. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
5. A study of the behavior of several methods for balancing machine learning training data
6. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)
7. ADASYN: Adaptive synthetic sampling approach for imbalanced learning (IEEE World Congress on Computational Intelligence)
8. Mining with rarity: a unifying framework
9. Experiments with a New Boosting Algorithm
10. Robust Classification for Imprecise Environments

Their papers

• Survey of resampling techniques for improving classification performance in unbalanced datasets (2016) — 241 citations