Table of Contents
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Machine Learning and Knowledge Extraction
Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl |
Front Matter |
Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI
Andreas Holzinger, Peter Kieseberg, Edgar Weippl, A Tjoa |
1-10 |
MAKE-Main Track
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A Modified Particle Swarm Optimization Algorithm for Community Detection in Complex Networks
Alireza Abdollahpouri, Shadi Rahimi, Shahnaz Majd, Chiman Salavati |
11-27 |
Mouse Tracking Measures and Movement Patterns with Application for Online Surveys
Catia Cepeda, Joao Rodrigues, Maria Dias, Diogo Oliveira, Dina Rindlisbacher, Marcus Cheetham, Hugo Gamboa |
28-42 |
Knowledge Compilation Techniques for Model-Based Diagnosis of Complex Active Systems
Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao |
43-64 |
Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes
Alexiei Dingli, Mark Bugeja, Dylan Seychell, Simon Mercieca |
65-78 |
An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data
Bemarisika Parfait, Ramanantsoa Harrimann, Totohasina André |
79-97 |
Field-Reliability Predictions Based on Statistical System Lifecycle Models
Lukas Felsberger, Dieter Kranzlmüller, Benjamin Todd |
98-117 |
Building a Knowledge Based Summarization System for Text Data Mining
Andrey Timofeyev, Ben Choi |
118-133 |
Spanish Twitter Data Used as a Source of Information About Consumer Food Choice
Luis Moreno-Sandoval, Carolina Sánchez-Barriga, Katherine Buitrago, Alexandra Pomares-Quimbaya, Juan Garcia |
134-146 |
Feedback Matters! Predicting the Appreciation of Online Articles A Data-Driven Approach
Catherine Sotirakou, Panagiotis Germanakos, Andreas Holzinger, Constantinos Mourlas |
147-159 |
Creative Intelligence – Automating Car Design Studio with Generative Adversarial Networks (GAN)
Sreedhar Radhakrishnan, Varun Bharadwaj, Varun Manjunath, Ramamoorthy Srinath |
160-175 |
MAKE-Text
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A Combined CNN and LSTM Model for Arabic Sentiment Analysis
Abdulaziz Alayba, Vasile Palade, Matthew England, Rahat Iqbal |
179-191 |
Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey
Dirk Johannßen, Chris Biemann |
192-211 |
LawStats – Large-Scale German Court Decision Evaluation Using Web Service Classifiers
Eugen Ruppert, Dirk Hartung, Phillip Sittig, Tjorben Gschwander, Lennart Rönneburg, Tobias Killing, Chris Biemann |
212-222 |
Clinical Text Mining for Context Sequences Identification
Svetla Boytcheva |
223-236 |
MAKE-Smart Factory
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A Multi-device Assistive System for Industrial Maintenance Operations
Mario Heinz, Hitesh Dhiman, Carsten Röcker |
239-247 |
Feedback Presentation for Workers in Industrial Environments – Challenges and Opportunities
Mario Heinz, Carsten Röcker |
248-261 |
MAKE-Topology
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On a New Method to Build Group Equivariant Operators by Means of Permutants
Francesco Camporesi, Patrizio Frosini, Nicola Quercioli |
265-272 |
Topological Characteristics of Digital Models of Geological Core
Rustem Gilmanov, Alexander Kalyuzhnyuk, Iskander Taimanov, Andrey Yakovlev |
273-281 |
Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback
Alessia Angeli, Massimo Ferri, Eleonora Monti, Ivan Tomba |
282-292 |
MAKE Explainable AI
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Explainable AI: the new 42?
Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lecue, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger |
295-303 |
A Rule Extraction Study Based on a Convolutional Neural Network
Guido Bologna |
304-313 |
Evaluating Explanations by Cognitive Value
Ajay Chander, Ramya Srinivasan |
314-328 |
Measures of Model Interpretability for Model Selection
André Carrington, Paul Fieguth, Helen Chen |
329-349 |
Regular Inference on Artificial Neural Networks
Franz Mayr, Sergio Yovine |
350-369 |
