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ORCIDCD-MAKE 2022, Vienna, Austria
- Andreas Holzinger
, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl:
Machine Learning and Knowledge Extraction - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Vienna, Austria, August 23-26, 2022, Proceedings. Lecture Notes in Computer Science 13480, Springer 2022, ISBN 978-3-031-14462-2 - Sami Ede, Serop Baghdadlian, Leander Weber, An Nguyen, Dario Zanca, Wojciech Samek, Sebastian Lapuschkin:
Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI. 1-18 - Markus Loecher, Dingyi Lai, Wu Qi:
Approximation of SHAP Values for Randomized Tree Ensembles. 19-30 - Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi, Giovanni Andrea La Maida:
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning. 31-50 - Alessa Angerschmid, Kevin Theuermann, Andreas Holzinger, Fang Chen, Jianlong Zhou:
Effects of Fairness and Explanation on Trust in Ethical AI. 51-67 - Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein:
Towards Refined Classifications Driven by SHAP Explanations. 68-81 - Federico Cabitza, Andrea Campagner, Lorenzo Famiglini:
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models' Calibration. 82-99 - André M. Carrington, Paul W. Fieguth, Franz Mayr, Nick D. James, Andreas Holzinger, John W. Pickering, Richard I. Aviv:
The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area. 100-113 - Markus Loecher:
Debiasing MDI Feature Importance and SHAP Values in Tree Ensembles. 114-129 - Eva Rössler, Patrick Halbach, Laura Burbach, Martina Ziefle, André Calero Valdez:
The Influence of User Diversity on Motives and Barriers when Using Health Apps - A Conjoint Investigation of the Intention-Behavior Gap. 130-149 - Shaik Masihullah, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana:
Identifying Fraud Rings Using Domain Aware Weighted Community Detection. 150-167 - Tomas Cabezon Pedroso, Javier Del Ser, Natalia Díaz Rodríguez:
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation. 168-187 - Sasha Strelnikoff, Aruna Jammalamadaka, Tsai-Ching Lu:
Semantic Causal Abstraction for Event Prediction. 188-200 - Alain Andres, Esther Villar-Rodriguez, Javier Del Ser:
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments. 201-220 - Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa:
Towards Generating Financial Reports from Tabular Data Using Transformers. 221-232 - Eliseo Reategui, Marcio Bigolin, Michel Carniato, Rafael Antunes dos Santos:
Evaluating the Performance of SOBEK Text Mining Keyword Extraction Algorithm. 233-243 - Minoru Kuribayashi, Kodai Kamakari, Nobuo Funabiki:
Classification of Screenshot Image Captured in Online Meeting System. 244-255 - Vladimir Marochko, Richard Reilly, Rachel McDonnell, Luca Longo:
A Survey on the Application of Virtual Reality in Event-Related Potential Research. 256-269 - Poornima Belavadi, Johannes Nakayama, André Calero Valdez:
Visualizing Large Collections of URLs Using the Hilbert Curve. 270-289 - Viera Anderková, Frantisek Babic:
How to Reduce the Time Necessary for Evaluation of Tree-Based Models. 290-305 - Majlinda Llugiqi, Rudolf Mayer:
An Empirical Analysis of Synthetic-Data-Based Anomaly Detection. 306-327 - Frantisek Babic, Viera Anderková, Zvonimir Bosnic, Mile Volaric, Ljiljana Trtica-Majnaric:
SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients. 328-342 - Eya Meddeb, Christopher P. Bowers, Lynn Nichol:
Comparing Machine Learning Correlations to Domain Experts' Causal Knowledge: Employee Turnover Use Case. 343-361 - Ferdinand Hönigsberger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff, Christoph Gollob, Sarah Witzmann, Arne Nothdurft, Peter Kieseberg, Andreas Holzinger, Karl Stampfer:
Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations. 362-375
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