Fatos Tunay

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Computational Mechanics — 6 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Fatos Tunay trusts overall

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

1. Olivier Chapelle
2. Thorsten Joachims
3. Gitta Kutyniok
4. Subhash C. Bagui
5. E.J. Candes
6. Yoav Freund

Papers from Fatos Tunay's perspective

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

1. Transductive Inference for Text Classification using Support Vector Machines
2. LIBLINEAR: A Library for Large Linear Classification
3. A Probabilistic Theory of Pattern Recognition
4. A decision-theoretic generalization of on-line learning and an application to boosting
5. Decoding by linear programming
6. Gradient-based learning applied to document recognition
7. Training a Support Vector Machine in the Primal
8. ImageNet classification with deep convolutional neural networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Support vector machines

Their papers

• Machine Learning Methods for Attack Detection in the Smart Grid (2015) — 550 citations