Mahesh Pal
Artificial Intelligence · 2003–2013
A researcher in the Science corpus: 7 papers; trusts 43 researchers and is trusted by 102 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Environmental Engineering — 12 citations into it; #68 of 5,479 by trust here, #872 by citations
- Water Science and Technology — 10 citations into it; #927 of 1,711 by trust here, #1,275 by citations
- Statistical Learning Theory — 9 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Ecology — 6 citations into it; #82 of 10,717 by trust here, #1,531 by citations
- Media Technology — 6 citations into it; #543 of 3,621 by trust here, #594 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Mahesh Pal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Leo Breiman
- Yoav Freund
- Vladimir Naumovich Vapnik
- Giles M. Foody
- Isabelle M Guyon
- Corinna Cortes
- Bernhard E. Boser
- Thomas G. Dietterich
- Robert E. Schapire
Who trusts Mahesh Pal overall
- Aaron E. Maxwell
- Björn Waske
- Victor Francisco Rodriguez-Galiano
- Daniel O. McInerney
- Timothy A. Warner
- Steven E. Sesnie
- Edwin Raczko
- Onisimo Mutanga
- Elfatih M. Abdel-Rahman
- Binh Thai Pham
Papers from Mahesh Pal's perspective
Ordered by how strongly the researchers Mahesh Pal trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- The Nature of Statistical Learning Theory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey (2013) — 92 citations
- Estimation of Mean Annual Flood in Indian Catchments Using Backpropagation Neural Network and M5 Model Tree (2010) — 84 citations
- Feature Selection for Classification of Hyperspectral Data by SVM (2010) — 831 citations
- Prediction of the end-depth ratio and discharge in semi-circular and circular shaped channels using support vector machines (2006) — 55 citations
- Random forest classifier for remote sensing classification (2005) — 3,119 citations
- Support vector machines for classification in remote sensing (2005) — 1,088 citations
- An assessment of the effectiveness of decision tree methods for land cover classification (2003) — 1,208 citations