Ganapati Panda

Artificial Intelligence · 2007–2016

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it; #16,008 of 35,345 by trust here, #22,463 by citations
• Computational Theory and Mathematics — 39 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #11,409 of 21,575 by trust here, #18,266 by citations
• Management Science and Operations Research — 10 citations into it; #10,504 of 11,946 by trust here, #8,469 by citations
• Biomedical Engineering — 8 citations into it
• Information Systems — 8 citations into it
• Molecular Biology — 8 citations into it
• Signal Processing — 8 citations into it

Whom Ganapati Panda trusts overall

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

1. Sanghamitra Bandyopadhyay
2. Xin-She Yang
3. Ujjwal Maulik
4. Kalyanmoy Deb
5. Anil K. Jain
6. Shu-Chuan Chu
7. John H. Holland
8. Bahriye Basturk
9. Kevin M. Passino
10. Abdolreza Hatamlou

Who trusts Ganapati Panda overall

1. Laith Mohammad Abualigah
2. Ye Ren
3. Alaa F. Sheta
4. Yumo Xu

Papers from Ganapati Panda's perspective

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

1. Genetic Algorithms in Search
2. Optimization by Simulated Annealing
3. Genetic Algorithms in Search Optimization and Machine Learning
4. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
5. Multi-objective optimization using evolutionary algorithms
6. A Cluster Separation Measure
7. Data clustering: a review
8. Genetic algorithm-based clustering technique (Pattern Recognition)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

Their papers

• Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique (2008) — 45 citations
• Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms (2016) — 32 citations
• Sentiment analysis of Twitter data for predicting stock market movements (2016) — 417 citations
• A survey on nature inspired metaheuristic algorithms for partitional clustering (2014) — 528 citations
• New block filtered-X LMS algorithms for active noise control systems (2007) — 60 citations