Ö. K. Baykan

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ö. K. Baykan trusts overall

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

  1. Kyoung-jae Kim
  2. Vladimir Naumovich Vapni
  3. Chih-Jen Lin
  4. Mark T. Leung
  5. An-Sing Chen

Who trusts Ö. K. Baykan overall

  1. Will Serrano
  2. Saptarshi Sengupta
  3. Ehsan Hoseinzade
  4. Jingyi Shen
  5. Iman Ahmadianfar
  6. Wu Deng

Papers from Ö. K. Baykan's perspective

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

  1. Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index
  2. The Nature of Statistical Learning Theory
  3. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index
  4. LIBSVM: A library for support vector machines
  5. A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market
  6. A hybrid genetic-neural architecture for stock indexes forecasting
  7. Forecasting Stock Indices: A Comparison of Classification and Level Estimation Models
  8. Surveying stock market forecasting techniques - Part II: Soft computing methods
  9. Support vector machine approach for protein subcellular localization prediction (Bioinform.)
  10. Financial time series forecasting using support vector machines

Their papers