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1. The Tower of Babel in Explainable Artificial Intelligence (XAI)

2. Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning

3. Efficient Approximation of Asymmetric Shapley Values Using Functional Decomposition

4. Controllable AI - An Alternative to Trustworthiness in Complex AI Systems?

5. Human-AI Interfaces are a Central Component of Trustworthy AI

6. The ROC Diagonal is Not Layperson’s Chance: A New Baseline Shows the Useful Area

7. Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations

8. Effects of Fairness and Explanation on Trust in Ethical AI

9. Towards Explainability for AI Fairness

10. xxAI - Beyond Explainable Artificial Intelligence

11. Explainable AI Methods - A Brief Overview

13. Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI

14. Property-Based Testing for Parameter Learning of Probabilistic Graphical Models

15. The European Legal Framework for Medical AI

16. Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions

17. Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review

18. Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration

19. Developments in AI and Machine Learning for Neuroimaging

20. Fuzzy Image Processing and Deep Learning for Microaneurysms Detection

21. Expectations of Artificial Intelligence for Pathology

22. The Next Frontier: AI We Can Really Trust

24. Insights into Learning Competence Through Probabilistic Graphical Models

25. Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation

26. KANDINSKY Patterns as IQ-Test for Machine Learning

27. Machine Learning for Family Doctors: A Case of Cluster Analysis for Studying Aging Associated Comorbidities and Frailty

28. Privacy-Enabled Smart Home Framework with Voice Assistant

29. Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs

30. Explainable AI: The New 42?

31. Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI

32. Feedback Matters! Predicting the Appreciation of Online Articles A Data-Driven Approach

33. Teaming up with Artificial Intelligence: The Human in the Loop of Serious Game Pathfinding Algorithms

34. Machine Learning and Knowledge Extraction in Digital Pathology Needs an Integrative Approach

35. Towards Integrative Machine Learning and Knowledge Extraction

36. Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment

37. The More the Merrier - Federated Learning from Local Sphere Recommendations

38. Human Activity Recognition Using Recurrent Neural Networks

39. Ambient Assisted Living Technologies from the Perspectives of Older People and Professionals

40. On the Challenges and Opportunities in Visualization for Machine Learning and Knowledge Extraction: A Research Agenda

41. DO NOT DISTURB? Classifier Behavior on Perturbed Datasets

42. IT in Biology & Medical Informatics: On the Challenge of Understanding the Data Ecosystem

44. Users’ Perceptions and Attitudes Towards Smart Home Technologies

45. The Right to Be Forgotten: Towards Machine Learning on Perturbed Knowledge Bases

46. Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach

47. Tumor Growth Simulation Profiling

48. Integrating Open Data on Cancer in Support to Tumor Growth Analysis

49. Ontology-Guided Principal Component Analysis: Reaching the Limits of the Doctor-in-the-Loop

50. A Tutorial on Machine Learning and Data Science Tools with Python

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