Towards Integrative Machine Learning and Knowledge Extraction : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers - Holzinger, Andreas; Goebel, Randy; Ferri, Massimo; Palade, Vasile; SpringerLink (Online service) (Cham : Springer International Publishing : Imprint: Springer, 2017)
Towards integrative Machine Learning & Knowledge Extraction -- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach -- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization -- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining -- Probabilistic Logic Programming in Action -- Persistent topology for natural data analysis - A survey -- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques -- A Brief Philosophical Note on Information -- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline -- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images -- Topological characteristics of oil and gas reservoirs and their applications -- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment.
Keywords: Artificial intelligence; Computers; Mathematical statistics; Software engineering; Computer organization; Artificial Intelligence; Information Systems and Communication Service; Probability and Statistics in Computer Science; Software Engineering/Programming and Operating Systems; Computer Systems Organization and Communication Networks