Takashi Yamamoto

Artificial Intelligence · with Ishibuchi · 2004–2005

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Takashi Yamamoto trusts overall

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

  1. Hisao Ishibuchi
  2. Rakesh Agrawal
  3. Andrzej Jaszkiewicz
  4. Tomoharu Nakashima
  5. Rayadurgam Srikant
  6. James Dougherty
  7. Yaochu Jin

Who trusts Takashi Yamamoto overall

  1. Hisao Ishibuchi
  2. Alberto Fernández
  3. Francisco Herrera
  4. Richard Jensen
  5. Yusuke Nojima
  6. Jens Christian Hühn
  7. Eyke Hüllermeier
  8. Yu Yi
  9. Jesús Alcalá-Fdez
  10. Rafael Alcalá

Papers from Takashi Yamamoto's perspective

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

  1. Programs for Machine Learning
  2. Fast Algorithms for Mining Association Rules
  3. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Evolutionary Computation)
  4. Three-objective genetics-based machine learning for linguistic rule extraction (Information Sciences)
  5. Genetic local search for multi-objective combinatorial optimization (European Journal of Operational Research)
  6. Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement (IEEE transactions on fuzzy systems)
  7. Effect of rule weights in fuzzy rule-based classification systems (Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063))
  8. Supervised and Unsupervised Discretization of Continuous Features
  9. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Evolutionary Computation)
  10. Multi-objective optimization using evolutionary algorithms

Their papers