K. Kasiviswanathan

Environmental Engineering · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 13 citations into it; #5,366 of 5,479 by trust here, #4,694 by citations
• Water Science and Technology — 13 citations into it; #1,648 of 1,711 by trust here, #1,442 by citations
• Artificial Intelligence — 6 citations into it
• Global and Planetary Change — 6 citations into it; #9,852 of 10,225 by trust here, #9,126 by citations

Whom K. Kasiviswanathan trusts overall

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

1. David John Cameron MacKay
2. David E. Goldberg
3. S. Sharma
4. Durga L. Shrestha
5. K. Sudheer
6. Gavin J. Bowden
7. George Chryssolouris
8. Charles M. Bishop
9. Holger R. Maier
10. Andreas S. Weigend

Who trusts K. Kasiviswanathan overall

1. Wenyan Wu
2. Zhangjun Liu
3. Shenglian Guo
4. Graeme C. Dandy
5. Lu Chen

Papers from K. Kasiviswanathan's perspective

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

1. Estimating the mean and variance of the target probability distribution
2. Machine learning approaches for estimation of prediction interval for the model output (Neural Networks)
3. Neural networks for pattern recognition
4. Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
5. Bootstrap based artificial neural network (BANN) analysis for hierarchical prediction of monthly runoff in Upper Damodar Valley Catchment
6. Neural Networks for Pattern Recognition
7. Genetic Algorithms in Search Optimization and Machine Learning
8. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
9. Genetic Algorithms in Search
10. Non-linear variable selection for artificial neural networks using partial mutual information (Environmental Modelling & Software)

Their papers

• Constructing prediction interval for artificial neural network rainfall runoff models based on ensemble simulations (2013) — 94 citations
• Quantification of the predictive uncertainty of artificial neural network based river flow forecast models (2012) — 86 citations