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Koichi Yamada: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Koichi Yamada, Riichiro Mizoguchi, Naoki Harada, Akria Nukuzuma, Keiichi Ishimaru, Hiroshi Furukawa
    Model of Utterance and Its Use in Cooperative Response Generation. [Citation Graph (0, 0)][DBLP]
    EWHCI, 1993, pp:260-271 [Conf]
  2. Koichi Yamada
    Possibilistic causality consistency problem based on asymmetrically-valued causal model. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:132, n:1, pp:33-48 [Journal]
  3. Koichi Yamada
    Diagnosis under compound effects and multiple causes by means of the conditional causal possibility approach. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:2, pp:183-212 [Journal]
  4. Bui Cong Cuong, Nguyen Hoang Phuong, Phan Hoang Anh, Koichi Yamada
    Fuzzy Relation with Thresholds and Applications. [Citation Graph (0, 0)][DBLP]
    JACIII, 2002, v:6, n:1, pp:2-6 [Journal]
  5. Bui Cong Cuong, Nguyen Hoang Phuong, Ho Khanh Le, Bui Truong Son, Koichi Yamada
    Fuzzy Inference Methods Employing T-norm with Threshold and Their Implementation. [Citation Graph (0, 0)][DBLP]
    JACIII, 2003, v:7, n:3, pp:362-369 [Journal]
  6. Nguyen Hoang Phuong, Koichi Yamada
    Special Issue Selected Papers VJFUZZY'2001. [Citation Graph (0, 0)][DBLP]
    JACIII, 2002, v:6, n:1, pp:1- [Journal]
  7. Aryuanto Soetedjo, Koichi Yamada
    An Efficient Algorithm for Traffic Sign Detection. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:3, pp:409-418 [Journal]
  8. Koichi Yamada
    Leaning Causal Models with Conditional Causal Probabilities from Data. [Citation Graph (0, 0)][DBLP]
    JACIII, 2002, v:6, n:1, pp:25-32 [Journal]
  9. Perry H. Wang, Jamison D. Collins, Gautham N. Chinya, Bernard Lint, Asit Mallick, Koichi Yamada, Hong Wang
    Sequencer virtualization. [Citation Graph (0, 0)][DBLP]
    ICS, 2007, pp:148-157 [Conf]

  10. Insight into Kansei Color Combinations in Interactive User Interface Designing. [Citation Graph (, )][DBLP]

  11. A Method of Diagnosis Using Possibility Theory. [Citation Graph (, )][DBLP]

  12. A Causal Model with UncertainTime-Series Effect Based on Evidence Theory. [Citation Graph (, )][DBLP]

  13. Intensity reasoning by constraint propagation based on causal relationships. [Citation Graph (, )][DBLP]

  14. TomuDB: multi-resolution queries in heterogeneous sensor networks through overlay network. [Citation Graph (, )][DBLP]

  15. A New Conditioning Rule, Its Generalization and Evidential Reasoning. [Citation Graph (, )][DBLP]

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