Zne-Jung Lee

Artificial Intelligence · 2008

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Zne-Jung Lee trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Ping-Feng Pai
  3. Lijuan Cao
  4. Ron Kohavi
  5. Wei‐Chiang Hong
  6. Biswanath Samanta
  7. Kyung-shik Shin
  8. Olivier Chapelle

Who trusts Zne-Jung Lee overall

  1. Mayank Arya Chandra
  2. Bing Xue
  3. Abdulhamit Subasi
  4. Yudong Zhang

Papers from Zne-Jung Lee's perspective

Ordered by how strongly the researchers Zne-Jung Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Wrappers for Feature Subset Selection
  3. Choosing Multiple Parameters for Support Vector Machines
  4. Combined SVM-Based Feature Selection and Classification
  5. Data Mining - Concepts and Techniques (Künstliche Intell.)
  6. An application of support vector machines in bankruptcy prediction model (Expert systems with applications)
  7. Support vector machine with adaptive parameters in financial time series forecasting (IEEE Trans. Neural Networks)
  8. Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms
  9. Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting
  10. Support-Vector Networks

Their papers