Towards Integrative Machine Learning and Knowledge Extraction

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 8 A Brief Philosophical Note on Information

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