Sicco Verwer
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 154 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #1,423 of 35,345 by trust here, #3,715 by citations
- Algorithms & Complexity — 15 citations into it
- Information Systems — 14 citations into it; #97 of 8,771 by trust here, #329 by citations
- Computational Theory and Mathematics — 10 citations into it
- Statistical Learning Theory — 10 citations into it; #202 of 1,038 by trust here, #413 by citations
- Optimization & Training — 10 citations into it; #692 of 2,601 by trust here, #1,585 by citations
- Statistics and Probability — 8 citations into it
Whom Sicco Verwer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Niko Speybroeck
- Dimitris J. Bertsimas
- TreesKristin P. Bennett
- Yingqian Zhang
- A. Pedro Duarte Silva
- Rafael Blanquero
- Christian Bessiere
- Jennifer A. BlueDepartment
- Luc De Raedt
Who trusts Sicco Verwer overall
- Emir Demirovi'c
- Murat Firat
- Indrė Žliobaitė
- Faisal Kamiran
- Yingqian Zhang
- Vinícius G. Costa
- Lu Zhang
- Sina Aghaei
- Haoran Zhu
- Cynthia Rudin
Papers from Sicco Verwer's perspective
Ordered by how strongly the researchers Sicco Verwer 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Random Forests
- Induction of decision trees
Their papers
- Three naive Bayes approaches for discrimination-free classification (2010) — 931 citations
- Learning fuzzy decision trees using integer programming (2018) — 11 citations
- Auction optimization using regression trees and linear models as integer programs (2014) — 63 citations
- Learning Optimal Classification Trees Using a Binary Linear Program Formulation (2019) — 189 citations
- Learning optimal classification trees using a binary linear program formulation (extended abstract) (2019)
- Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization (2017) — 71 citations