Ahmet Arslan

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Ahmet Arslan trusts overall

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

1. Alex Smola
2. Joseph L. Schafer
3. Vladimir Naumovich Vapnik
4. Bernhard Schölkopf
5. J. Graham
6. Subir Ghosh

Who trusts Ahmet Arslan overall

1. Tlamelo Emmanuel

Papers from Ahmet Arslan's perspective

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

1. Statistical Analysis With Missing Data
2. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
3. ImageNet classification with deep convolutional neural networks
4. Missing data: our view of the state of the art. (Psychological methods)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. A tutorial on support vector regression
7. Future rainfall scenario over Orissa with GCM projections by statistical downscaling
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Survey on dimension reduction techniques

Their papers

• A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm (2013) — 308 citations
• A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine (2008) — 336 citations