Nijolė Maknickienė

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nijolė Maknickienė trusts overall

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

  1. Pei-Chann Chang
  2. Hiok Chai Quek
  3. Kai Keng Ang
  4. Rohit Choudhry
  5. Algirdas Antano Maknickas
  6. J. Urgen Schmidhuber
  7. Kumkum Garg
  8. Daan Wierstra
  9. Marcus Hutter
  10. Yen-Wen Wang

Who trusts Nijolė Maknickienė overall

  1. Liheng Zhang
  2. Charu C. Aggarwal
  3. A. Ozbayoglu
  4. Guo-Jun Qi
  5. M. Ugur Gudelek
  6. Omer Berat Sezer

Papers from Nijolė Maknickienė's perspective

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

  1. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index
  2. Reinforcement Learning: An Introduction
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry

Their papers