Velibor V. Misic
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #19,194 of 35,345 by trust here, #31,361 by citations
- Statistics and Probability — 12 citations into it; #7,009 of 12,932 by trust here, #10,275 by citations
- Statistical Learning Theory — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it; #6,311 of 12,182 by trust here, #9,804 by citations
- Information Systems — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Algorithms & Complexity — 6 citations into it
- Finance — 6 citations into it
Whom Velibor V. Misic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Dimitris J. Bertsimas
- J. Ross Quinlan
- Andy Liaw
- Gérard Biau
- Juan Pablo Vielma
- Miles Lubin
- Trevor J. Hastie
- Tianqi Chen
- Marvin N. Wright
Who trusts Velibor V. Misic overall
Papers from Velibor V. Misic's perspective
Ordered by how strongly the researchers Velibor V. Misic trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Bagging Predictors
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Forests
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning Theory
- The Elements of Statistical Learning
- Long Short-Term Memory
Their papers
- Optimization of Tree Ensembles (2017) — 118 citations
- Interpretable Optimal Stopping (2018) — 50 citations