110 citations · 377 across the 25 of their papers we have counts for
25 papers
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents
Yael Septon, Tobias Huber, Elisabeth André +1
Explaining the behavior of reinforcement learning agents operating in sequential decision-making settings is challenging, as their behavior is affected by a dynamic environment and…
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps
Katharina Weitz, Alexander Zellner, Elisabeth André
In healthcare, AI systems support clinicians and patients in diagnosis, treatment, and monitoring, but many systems' poor explainability remains challenging for practical applicati…
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Andreas Triantafyllopoulos, Björn W. Schuller, Gökçe İymen +9
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research. In recent years, machines have manage…
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Ömer Sümer, Fabio Hellmann, Alexander Hustinx +3
Computer vision-based methods have valuable use cases in precision medicine, and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known…
On the Generalizability of ECG-based Stress Detection Models
Pooja Prajod, Elisabeth André
Stress is prevalent in many aspects of everyday life including work, healthcare, and social interactions. Many works have studied handcrafted features from various bio-signals that…
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective
Katharina Weitz, Chi Tai Dang, Elisabeth André
Companies' adoption of artificial intelligence (AI) is increasingly becoming an essential element of business success. However, using AI poses new requirements for companies and th…