| Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees
|
2020 |
Redelmeier, Annabelle |
| Active Learning for Auditory Hierarchy
|
2020 |
Coleman, William |
| Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM
|
2020 |
Hillebrand, Lars |
| A Clustering Backed Deep Learning Approach for Document Layout Analysis
|
2020 |
Agombar, Rhys |
| Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
|
2020 |
Schmidt, Philipp |
| Applying AI in Practice: Key Challenges and Lessons Learned
|
2020 |
Fischer, Lukas |
| Analysis of Optical Brain Signals Using Connectivity Graph Networks
|
2020 |
Pinto-Orellana, Marco Antonio |
| Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
|
2020 |
Saranti, Anna |
| The Explanation Game: Explaining Machine Learning Models Using Shapley Values
|
2020 |
Merrick, Luke |
| Explainable Reinforcement Leaning: A Survey
|
2020 |
Puiutta, Erika |
| Back to the Feature: A Neural-Symbolic Perspective on Explainable AI
|
2020 |
Campagner, Andrea |
| Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case
|
2020 |
Felsberger, Lukas |
| A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images
|
2020 |
Nunnari, Fabrizio |
| Cooperation Between Data Analysts and Medical Experts: A Case Study
|
2020 |
Rokošná, Judita |
| An Efficient Method for Mining Informative Association Rules in Knowledge Extraction
|
2020 |
Bemarisika, Parfait |
| Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules: Exploring the Notion of Explainable AI in Diagnosing CAD
|
2020 |
Samuel, Sanjay Sekar |
| Non-local Second-Order Attention Network for Single Image Super Resolution
|
2020 |
Lyn, Jiawen |
| Scenario-Based Requirements Elicitation for User-Centric Explainable AI: A Case in Fraud Detection
|
2020 |
Cirqueira, Douglas |
| Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints
|
2020 |
Teuffenbach, Martin |
| On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks
|
2020 |
Mayr, Franz |
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