توضیحاتی در مورد کتاب :
این کتاب مجموعه مقالات داوری چهارمین کنفرانس بینالمللی IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 بیندامنهای بینالمللی، CD-MAKE 2020 است که در دوبلین، ایرلند، در آگوست 2020 برگزار شد. .
30 مقاله کامل اصلاح شده ارائه شده به دقت بررسی و از بین 41 مورد ارسالی انتخاب شدند. ادغام بین دامنه ای و ارزیابی زمینه های مختلف فضایی را برای پرورش دیدگاه ها و نظرات مختلف فراهم می کند. بستری برای ایدههای بدیع و نگاهی تازه به روشهای به کارگیری این ایدهها به نفع بشریت ارائه میکند.
با توجه به همهگیری کرونا، CD-MAKE 2020 به عنوان یک رویداد مجازی برگزار شد.
فهرست مطالب :
Front Matter ....Pages i-xi
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions (Luca Longo, Randy Goebel, Freddy Lecue, Peter Kieseberg, Andreas Holzinger)....Pages 1-16
The Explanation Game: Explaining Machine Learning Models Using Shapley Values (Luke Merrick, Ankur Taly)....Pages 17-38
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI (Andrea Campagner, Federico Cabitza)....Pages 39-55
Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification (Xiaoxiao Li, João Saúde)....Pages 57-76
Explainable Reinforcement Learning: A Survey (Erika Puiutta, Eric M. S. P. Veith)....Pages 77-95
A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance (Grah Simon, Thouvenot Vincent)....Pages 97-115
Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees (Annabelle Redelmeier, Martin Jullum, Kjersti Aas)....Pages 117-137
Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case (Lukas Felsberger, Andrea Apollonio, Thomas Cartier-Michaud, Andreas Müller, Benjamin Todd, Dieter Kranzlmüller)....Pages 139-158
eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters (Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso)....Pages 159-172
Cooperation Between Data Analysts and Medical Experts: A Case Study (Judita Rokošná, František Babič, Ljiljana Trtica Majnarić, L’udmila Pusztová)....Pages 173-190
A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images (Fabrizio Nunnari, Chirag Bhuvaneshwara, Abraham Obinwanne Ezema, Daniel Sonntag)....Pages 191-208
The European Legal Framework for Medical AI (David Schneeberger, Karl Stöger, Andreas Holzinger)....Pages 209-226
An Efficient Method for Mining Informative Association Rules in Knowledge Extraction (Parfait Bemarisika, André Totohasina)....Pages 227-247
Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules (Sanjay Sekar Samuel, Nik Nailah Binti Abdullah, Anil Raj)....Pages 249-266
Non-local Second-Order Attention Network for Single Image Super Resolution (Jiawen Lyn, Sen Yan)....Pages 267-279
ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers (Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius A. Meerhoff, Marc Fernandes)....Pages 281-300
Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints (Martin Teuffenbach, Ewa Piatkowska, Paul Smith)....Pages 301-320
Scenario-Based Requirements Elicitation for User-Centric Explainable AI (Douglas Cirqueira, Dietmar Nedbal, Markus Helfert, Marija Bezbradica)....Pages 321-341
On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks (Franz Mayr, Ramiro Visca, Sergio Yovine)....Pages 343-363
Active Learning for Auditory Hierarchy (William Coleman, Charlie Cullen, Ming Yan, Sarah Jane Delany)....Pages 365-384
Improving Short Text Classification Through Global Augmentation Methods (Vukosi Marivate, Tshephisho Sefara)....Pages 385-399
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM (Lars Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa)....Pages 401-422
A Clustering Backed Deep Learning Approach for Document Layout Analysis (Rhys Agombar, Max Luebbering, Rafet Sifa)....Pages 423-430
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias (Philipp Schmidt, Felix Biessmann)....Pages 431-449
Applying AI in Practice: Key Challenges and Lessons Learned (Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger et al.)....Pages 451-471
Function Space Pooling for Graph Convolutional Networks (Padraig Corcoran)....Pages 473-483
Analysis of Optical Brain Signals Using Connectivity Graph Networks (Marco Antonio Pinto-Orellana, Hugo L. Hammer)....Pages 485-497
Property-Based Testing for Parameter Learning of Probabilistic Graphical Models (Anna Saranti, Behnam Taraghi, Martin Ebner, Andreas Holzinger)....Pages 499-515
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge (Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos)....Pages 517-534
Inter-space Machine Learning in Smart Environments (Amin Anjomshoaa, Edward Curry)....Pages 535-549
Back Matter ....Pages 551-552
توضیحاتی در مورد کتاب به زبان اصلی :
This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020.
The 30 revised full papers presented were carefully reviewed and selected from 41 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.
Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.