Mikoláš Janota

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #25,209 of 35,345 by trust here, #32,362 by citations
• Algorithms & Complexity — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it; #8,650 of 12,182 by trust here, #10,349 by citations

Whom Mikoláš Janota trusts overall

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

1. Alexey Ignatiev
2. Dimitris J. Bertsimas
3. Niklas Eén
4. J. Ross Quinlan
5. Sicco Verwer
6. Christian Bessiere
7. Nina Narodytska
8. Frank Hutter
9. Joao Marques-Silva
10. Randal S. Olson

Who trusts Mikoláš Janota overall

1. André Schidler
2. Emir Demirovi'c
3. Stefan Szeider
4. Vinícius G. Costa
5. Anna Lukina
6. Yacine Izza

Papers from Mikoláš Janota's perspective

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

1. Scikit-learn: Machine Learning in Python
2. Constructing Optimal Binary Decision Trees is NP-Complete
3. ImageNet classification with deep convolutional neural networks
4. Random Forests
5. Gradient-based learning applied to document recognition
6. Et al
7. Learning Optimal Decision Trees with SAT
8. Induction of decision trees
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Optimal classification trees

Their papers

• SAT-Based Encodings for Optimal Decision Trees with Explicit Paths (2020) — 36 citations