Applications of Computational Intelligence in Biology

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.

Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.
Dr. Aboul-Ella Hassanien is a Professor in the Faculty of Computers and Information at Cairo University, Egypt, and Visiting Professor at the College of Business Administration, Kuwait University.