Stefan Szeider

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #21,189 of 35,345 by trust here, #31,361 by citations
• Algorithms & Complexity — 14 citations into it
• Information Systems — 13 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Safety, Robustness & Interpretability — 9 citations into it
• Statistical Learning Theory — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Stefan Szeider trusts overall

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

1. Sreerama K. Murthy
2. J. Ross Quinlan
3. Dimitris J. Bertsimas
4. Florent Avellaneda
5. Ron Kohavi
6. Dimitrios M. Thilikos
7. Nina Narodytska
8. Christian Bessiere
9. David Pisinger
10. Mikoláš Janota

Who trusts Stefan Szeider overall

1. Vinícius G. Costa
2. Sebastian Ordyniak
3. Emir Demirovi'c
4. Carlos Eduardo Pedreira

Papers from Stefan Szeider's perspective

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

1. Induction of decision trees
2. Constructing Optimal Binary Decision Trees is NP-Complete
3. Learning Optimal Decision Trees with SAT
4. Minimising Decision Tree Size as Combinatorial Optimisation
5. Optimal classification trees
6. C4.5: Programs for Machine Learning
7. ImageNet classification with deep convolutional neural networks
8. Optimal Sparse Decision Trees
9. PMLB: a large benchmark suite for machine learning evaluation and comparison
10. Gradient-based learning applied to document recognition

Their papers

• Parameterized Complexity of Small Decision Tree Learning (2021) — 22 citations
• SAT-based Decision Tree Learning for Large Data Sets (2021) — 72 citations