Applications of Computational Intelligence in Biology 2008

• Andrew Hamilton-Wright, Daniel W. Stashuk:
  Statistically Based Pattern Discovery Techniques for Biological Data Analysis. 3-31
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• Lech Polkowski, Piotr Artiemjew:
  Rough Sets In Data Analysis: Foundations and Applications. 33-54
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• Thomas McTavish, Diego Restrepo:
  Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters. 55-78
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• Antonio López Jaimes, Carlos A. Coello Coello:
  An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology. 79-102
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Current Trends

• Wit Jakuczun:
  Local Classifiers as a Method of Analysing and Classifying Signals. 105-133
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• Ryszard Tadeusiewicz:
  Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds. 135-159
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• Bai-Tao Zhou, Joong-Hwan Baek:
  Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organism. 161-182
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• Dah-Jye Lee, James K. Archibald, Robert B. Schoenberger, Aaron W. Dennis, Dennis K. Shiozawa:
  Contour Matching for Fish Species Recognition and Migration Monitoring. 183-207
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• Dawn R. Magness, Falk Huettmann, John M. Morton:
  Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs. 209-229
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• John T. Langton, Elizabeth A. Gifford, Timothy J. Hickey:
  Visualization and Interactive Exploration of Large, Multidimensional Data Sets. 231-255
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Open Problems

• Laila A. Nahum, Sergio L. Pereira:
  Phylogenomics, Protein Family Evolution, and the Tree of Life: An Integrated Approach between Molecular Evolution and Computational Intelligence. 259-279
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• Vladik Kreinovich, Max Shpak:
  Computational Aspects of Aggregation in Biological Systems. 281-305
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• Ying Xie, Jayasimha Katukuri, Vijay V. Raghavan, Tony Presti:
  Conceptual Biology Research Supporting Platform: Current Design and Future Directions. 307-324
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• Cengiz Günay, Tomasz G. Smolinski, William W. Lytton, Thomas M. Morse, Padraig Gleeson, Sharon Crook, Volker Steuber, Angus Silver, Horatiu Voicu, Peter Andrews, Hemant Bokil, Hiren Maniar, Catherine Loader, Samar Mehta, David Kleinfeld, David J. Thomson, Partha P. Mitra, Gloster Aaron, Jean-Marc Fellous:
  Computational Intelligence in Electrophysiology: Trends and Open Problems. 325-359
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Cognitive Biology

• Stan Franklin, Michael H. Ferkin:
  Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition. 363-394
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• David Windridge, Josef Kittler:
  Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents. 395-422
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