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Computational Science - ICCS 2007 7th International Conference, Beijing China, May 27-30, 2007, Proceedings, Part I /

Published 2007

Table of Contents: “... Simulation -- Variable Relaxation Solve for Nonlinear Thermal Conduction -- A Moving Boundary Wave Run-Up...”
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings /

Published 2008

Table of Contents: “... Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein...”
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Systems Biology for Signaling Networks

Published 2010

Table of Contents: “... Construction -- From Microarray to Biology -- Modeling and Reconstruction -- Computational Procedures for Model...”
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Bioinformatics Research and Applications Third International Symposium,ISBRA 2007, Atlanta, GA, USA, May 7-10, 2007, Proceedings /

Published 2007

Table of Contents: “... Microarrays -- Multiple Sequence Local Alignment Using Monte Carlo EM Algorithm -- Cancer Class Discovery...”
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Fuzzy Logic and Applications 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers /

Published 2006

Table of Contents: “... Logic Programming -- A Method for Characterizing Tractable Subsets of Qualitative Fuzzy Temporal...”
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Artificial Intelligence and Soft Computing 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II /

Published 2014

Table of Contents: “... Complications in Cervical Cancer Treatment -- Face Classification Based on Linguistic Description of Facial...”
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Advances in Communication and Computing

Published 2015

Table of Contents: “... Inference System -- Active Learning using Fuzzy K-NN for Cancer Classification from Microarray Gene...”
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Computational Collective Intelligence. Technologies and Applications Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part II /

Published 2010

Table of Contents: “... Oral Training -- A Gene Selection Method for Microarray Data Based on Sampling -- The Similarity...”
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