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ORCID3rd CD-MAKE 2019: Canterbury, UK
- Andreas Holzinger, Peter Kieseberg, A Min Tjoa
, Edgar R. Weippl:
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. Lecture Notes in Computer Science 11713, Springer 2019, ISBN 978-3-030-29725-1 - Andreas Holzinger, Michael D. Kickmeier-Rust, Heimo Müller:
KANDINSKY Patterns as IQ-Test for Machine Learning. 1-14 - Alberto Blanco-Justicia, Josep Domingo-Ferrer:
Machine Learning Explainability Through Comprehensible Decision Trees. 15-26 - Federico Cabitza, Andrea Campagner, Davide Ciucci:
New Frontiers in Explainable AI: Understanding the GI to Interpret the GO. 27-47 - Alex Alves Freitas:
Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretability. 48-66 - Shokoufeh Monjezi Kouchak, Ashraf Gaffar:
Estimating the Driver Status Using Long Short Term Memory. 67-77 - Jeroen Voogd, Paolo de Heer, Kim Veltman, Patrick Hanckmann, Jeroen van Lith:
Using Relational Concept Networks for Explainable Decision Support. 78-93 - Jianlong Zhou, Huaiwen Hu, Zhidong Li, Kun Yu, Fang Chen:
Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking. 94-113 - Sarni Suhaila Rahim, Vasile Palade, Ibrahim Almakky, Andreas Holzinger:
Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation. 114-127 - Sandra Wartner, Manuela Wiesinger-Widi, Dominic Girardi, Dieter Furthner, Klaus Schmitt:
Semi-automated Quality Assurance for Domain-Expert-Driven Data Exploration - An Application to Principal Component Analysis. 128-146 - Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. 147-167 - Ludmila Pusztová, Frantisek Babic, Ján Paralic, Zuzana Paralicová:
How to Improve the Adaptation Phase of the CBR in the Medical Domain. 168-177 - Frantisek Babic, Ljiljana Trtica-Majnaric, Sanja Bekic, Andreas Holzinger:
Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comorbidities and Frailty. 178-194 - Dimitris E. Simos, Bernhard Garn, Ludwig Kampel, D. Richard Kuhn, Raghu N. Kacker:
Knowledge Extraction for Cryptographic Algorithm Validation Test Vectors by Means of Combinatorial Coverage Measurement. 195-208 - Tanja Sarcevic, Rudolf Mayer:
An Evaluation on Robustness and Utility of Fingerprinting Schemes. 209-228 - William L. Croft, Jörg-Rüdiger Sack, Wei Shi:
Differentially Private Obfuscation of Facial Images. 229-249 - Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger:
Insights into Learning Competence Through Probabilistic Graphical Models. 250-271 - Nello Blaser, Morten Brun:
Sparse Nerves in Practice. 272-284 - Huma Rehman, Andreas Ekelhart, Rudolf Mayer:
Backdoor Attacks in Neural Networks - A Systematic Evaluation on Multiple Traffic Sign Datasets. 285-300 - Sahar Iravani, Tim O. F. Conrad:
Deep Learning for Proteomics Data for Feature Selection and Classification. 301-316 - Haitao Tang, Pauliina Eratuuli:
Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically. 317-332 - Nicola Bertoglio, Gianfranco Lamperti, Marina Zanella:
Temporal Diagnosis of Discrete-Event Systems with Dual Knowledge Compilation. 333-352 - Florian Westphal, Niklas Lavesson, Håkan Grahn:
A Case for Guided Machine Learning. 353-361 - Stefan Prieschl, Dominic Girardi, Gabriel Kronberger:
Using Ontologies to Express Prior Knowledge for Genetic Programming. 362-376 - Xing Liang, Epaminondas Kapetanios, Bencie Woll, Anastassia Angelopoulou:
Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. 377-394 - Sophie Siebert, Claudia Schon, Frieder Stolzenburg:
Commonsense Reasoning Using Theorem Proving and Machine Learning. 395-413
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