Florent Avellaneda
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #6,469 of 35,345 by trust here, #27,551 by citations
- Algorithms & Complexity — 5 citations into it
Whom Florent Avellaneda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Dana Angluin
- Corinna Cortes
- Christian Bessiere
- Dimitris J. Bertsimas
- Vladimir Naumovich Vapnik
- Niko Speybroeck
- Emmanuel Hebrard
- Nina Narodytska
- Barry O'Sullivan
Who trusts Florent Avellaneda overall
- Emir Demirovi'c
- Vinícius G. Costa
- Sebastian Ordyniak
- Gaël Aglin
- Peter James Stuckey
- Stefan Szeider
- Anna Lukina
- Carlos Eduardo Pedreira
- Siegfried Nijssen
- Emmanuel Hebrard
Papers from Florent Avellaneda's perspective
Ordered by how strongly the researchers Florent Avellaneda trusts endorse each paper. Same corpus, a different order for every researcher.
- C4.5: Programs for Machine Learning
- Induction of decision trees
- Classification and regression trees
- ImageNet classification with deep convolutional neural networks
- Support-Vector Networks
- The Nature of Statistical Learning Theory
- Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains its Predictions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Optimal Decision Trees with SAT
- Learning Regular Sets from Queries and Counterexamples
Their papers
- Efficient Inference of Optimal Decision Trees (2020) — 62 citations