Controllable AI - An alternative to trustworthiness in complex AI systems?
Efficient approximation of Asymmetric Shapley Values using Functional Decomposition
Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition
Human-in-the-Loop Integration of Domain-Knowledge Graphs for Explainable and Federated Deep Learning
The Tower of Babel in explainable Artificial Intelligence (XAI)
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data
Transformers are Short-text Classifiers
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams
Using Machine Learning to Generate an ESG Dictionary
Let me think! Investigating the effect of explanations feeding doubts about the AI advice
Enhancing Trust in Machine Learning Systems by Formal Methods
Sustainability Effects of Robust and Resilient Artificial Intelligence
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
Probabilistic framework based on Deep Learning for differentiating ultrasound movie view planes
Standing Still is Not An Option: Alternative Baselines for Attainable Utility Preservation
Memorization of Named Entities in Fine-tuned BERT Models
Event and Entity Extraction from Generated Video Captions
Fine-Tuning Language Models for Scientific Writing Support.