Vol. 1. 1. Exploring the Unknown Nature of Data: Cluster Analysis and Applications -- 2. Principal Graphs and Manifolds -- 3. Learning Algorithms for RBF Functions and Subspace Based Functions -- 4. Nature Inspired Methods for Multi-Objective Optimization -- 5. Artificial Immune Systems for Anomaly Detection -- 6. Calibration of Machine Learning Models -- 7. Classification with Incomplete Data -- 8. Clustering and Visualization of Multivariate Time Series -- 9. Locally Recurrent Neural Networks and Their Applications -- 10. Nonstationary Signal Analysis with Kernel Machines -- 11. Transfer Learning -- 12. Machine Learning in Personalized Anemia Treatment -- 13. Deterministic Pattern Mining On Genetic Sequences --

Vol. 2. 14. Machine Learning in Natural Language Processing -- 15. Machine Learning Applications in Mega-Text Processing -- 16. FOL Learning for Knowledge Discovery in Documents -- 17. Machine Learning and Financial Investing -- 18. Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products -- 19. Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks -- 20. Data Mining Experiences in Steel Industry -- 21. Application of Neural Networks in Animal Science -- 22. Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models -- 23. A Survey of Bayesian Techniques in Computer Vision -- 24. Software Cost Estimation using Soft Computing Approaches -- 25. Counting the Hidden Defects in Software Documents -- 26. Machine Learning for Biometrics -- 27. Neural Networks for Modeling the Contact Foot-Shoe Upper -- 28. Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness -- 29. Improving Automated Planning with Machine Learning.