Machine Learning and Knowledge Extraction Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26-29, 2019, Proceedings. Information Systems and Applications, incl. Internet/Web, and H

This book constitutes the refereed proceedings of the IFIP TC 5, TC 12, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2019, held in Canterbury, UK, in August 2019. The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Front Matter ....Pages i-xiii KANDINSKY Patterns as IQ-Test for Machine Learning (Andreas Holzinger, Michael Kickmeier-Rust, Heimo Müller)....Pages 1-14 Machine Learning Explainability Through Comprehensible Decision Trees (Alberto Blanco-Justicia, Josep Domingo-Ferrer)....Pages 15-26 New Frontiers in Explainable AI: Understanding the GI to Interpret the GO (Federico Cabitza, Andrea Campagner, Davide Ciucci)....Pages 27-47 Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability (Alex A. Freitas)....Pages 48-66 Estimating the Driver Status Using Long Short Term Memory (Shokoufeh Monjezi Kouchak, Ashraf Gaffar)....Pages 67-77 Using Relational Concept Networks for Explainable Decision Support (Jeroen Voogd, Paolo de Heer, Kim Veltman, Patrick Hanckmann, Jeroen van Lith)....Pages 78-93 Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking (Jianlong Zhou, Huaiwen Hu, Zhidong Li, Kun Yu, Fang Chen)....Pages 94-113 Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation (Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Andreas Holzinger)....Pages 114-127 Semi-automated Quality Assurance for Domain-Expert-Driven Data Exploration – An Application to Principal Component Analysis (Sandra Wartner, Manuela Wiesinger-Widi, Dominic Girardi, Dieter Furthner, Klaus Schmitt)....Pages 128-146 Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification (Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden)....Pages 147-167 How to Improve the Adaptation Phase of the CBR in the Medical Domain (Ľudmila Pusztová, František Babič, Ján Paralič, Zuzana Paraličová)....Pages 168-177 Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comorbidities and Frailty (František Babič, Ljiljana Trtica Majnarić, Sanja Bekić, Andreas Holzinger)....Pages 178-194 Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement (Dimitris E. Simos, Bernhard Garn, Ludwig Kampel, D. Richard Kuhn, Raghu N. Kacker)....Pages 195-208 An Evaluation on Robustness and Utility of Fingerprinting Schemes (Tanja Šarčević, Rudolf Mayer)....Pages 209-228 Differentially Private Obfuscation of Facial Images (William L. Croft, Jörg-Rüdiger Sack, Wei Shi)....Pages 229-249 Insights into Learning Competence Through Probabilistic Graphical Models (Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger)....Pages 250-271 Sparse Nerves in Practice (Nello Blaser, Morten Brun)....Pages 272-284 Backdoor Attacks in Neural Networks – A Systematic Evaluation on Multiple Traffic Sign Datasets (Huma Rehman, Andreas Ekelhart, Rudolf Mayer)....Pages 285-300 Deep Learning for Proteomics Data for Feature Selection and Classification (Sahar Iravani, Tim O. F. Conrad)....Pages 301-316 Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically (Haitao Tang, Pauliina Eratuuli)....Pages 317-332 Temporal Diagnosis of Discrete-Event Systems with Dual Knowledge Compilation (Nicola Bertoglio, Gianfranco Lamperti, Marina Zanella)....Pages 333-352 A Case for Guided Machine Learning (Florian Westphal, Niklas Lavesson, Håkan Grahn)....Pages 353-361 Using Ontologies to Express Prior Knowledge for Genetic Programming (Stefan Prieschl, Dominic Girardi, Gabriel Kronberger)....Pages 362-376 Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language (Xing Liang, Epaminondas Kapetanios, Bencie Woll, Anastassia Angelopoulou)....Pages 377-394 Commonsense Reasoning Using Theorem Proving and Machine Learning (Sophie Siebert, Claudia Schon, Frieder Stolzenburg)....Pages 395-413 Back Matter ....Pages 415-416