Konstantinos Sechidis

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Konstantinos Sechidis trusts overall

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

  1. Jaka Demsar
  2. Jesse Read
  3. J. Fleiss
  4. Min-Ling Zhang
  5. Trevor J. Hastie
  6. Bernhard Pfahringer
  7. David Ruppert
  8. Ludmila I. Kuncheva
  9. Johannes Fürnkranz
  10. K. Gwet

Who trusts Konstantinos Sechidis overall

  1. Konstantinos Drossos
  2. A. D. Sá
  3. Francisco Charte
  4. Eduardo Fonseca
  5. Binny Mathew
  6. Patrick Wagner
  7. Alex Alves Freitas
  8. Samuel Lipping
  9. Antonio Jesús Rivera
  10. Xavier Favory

Papers from Konstantinos Sechidis's perspective

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

  1. Random Forests
  2. Statistical Comparisons of Classifiers over Multiple Data Sets
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Classifier chains for multi-label classification (Machine-mediated learning)
  6. Bagging Predictors
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers