Chapter 1 Towards Integrative Machine Learning and Knowledge Extraction

Chapter 2 Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach

Chapter 3 Comparison of Public-Domain Software and Services For Probabilistic Record Linkage and Address Standardization

Chapter 4 Better Interpretable Models for Proteomics Data Analysis Using Rule-Based Mining

Chapter 5 Probabilistic Logic Programming in Action

Chapter 6 Persistent Topology for Natural Data Analysis — A Survey

Chapter 7 Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques

Chapter 9 Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline

Chapter 10 A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images

Chapter 11 Topological Characteristics of Oil and Gas Reservoirs and Their Applications

Chapter 12 Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment