Applications of Computational Intelligence in Biology : Current Trends and Open Problems / edited by Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien.

Springer eBooks

Techniques and Methodologies -- Statistically Based Pattern Discovery Techniques for Biological Data Analysis -- Rough Sets In Data Analysis: Foundations and Applications -- Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters -- An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology -- Current Trends -- Local Classifiers as a Method of Analysing and Classifying Signals -- Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds -- Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organism -- Contour Matching for Fish Species Recognition and Migration Monitoring -- Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs -- Visualization and Interactive Exploration of Large, Multidimensional Data Sets -- Open Problems -- Phylogenomics, Protein Family Evolution, and the Tree of Life: An Integrated Approach between Molecular Evolution and Computational Intelligence -- Computational Aspects of Aggregation in Biological Systems -- Conceptual Biology Research Supporting Platform: Current Design and Future Directions -- Computational Intelligence in Electrophysiology: Trends and Open Problems -- Cognitive Biology -- Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition -- Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents.

The purpose of this book is to provide a medium for an exchange of expertise and concerns. In order to achieve the goal, the editors have solicited contributions from both computational intelligence as well as biology researchers. They have collected contributions from the CI community describing powerful new methodologies that could, or currently are, utilized for biology-oriented applications. On the other hand, the book also contains chapters devoted to open problems in biology that are in need of strong computational techniques, so the CI community can find a brand new and potentially intriguing spectrum of applications.

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