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

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

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

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

6. Towards Explainability for AI Fairness

7. xxAI - Beyond Explainable Artificial Intelligence

8. Explainable AI Methods - A Brief Overview

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

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

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

13. The European Legal Framework for Medical AI

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

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

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

17. Developments in AI and Machine Learning for Neuroimaging

18. Fuzzy Image Processing and Deep Learning for Microaneurysms Detection

19. Expectations of Artificial Intelligence for Pathology

20. The Next Frontier: AI We Can Really Trust

22. Insights into Learning Competence Through Probabilistic Graphical Models

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

24. KANDINSKY Patterns as IQ-Test for Machine Learning

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

26. Privacy-Enabled Smart Home Framework with Voice Assistant

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

31. Towards a Taxonomy for Explainable AI in Computational Pathology

32. Explainable AI: The New 42?

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

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

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

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

37. Towards Integrative Machine Learning and Knowledge Extraction

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

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

40. Human Activity Recognition Using Recurrent Neural Networks

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

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

43. DO NOT DISTURB? Classifier Behavior on Perturbed Datasets

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

46. Users’ Perceptions and Attitudes Towards Smart Home Technologies

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

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

50. Tumor Growth Simulation Profiling

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