Felix Bießmann

1. Quantifying Interpretability and Trust in Machine Learning Systems
   2019/01/20 by Philipp Schmidt, Schmidt, Philipp, Felix Bießmann +1 · 6 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
   2024/07/31 by Zhaolan Huang, Huang, Zhaolan, Adrien Tousnakhoff +13 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Animal Vocal Communication and Behavior #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Signal Processing (eess.SP) #Sound (cs.SD) #electronic engineering #information engineering
3. More Than Words: Towards Better Quality Interpretations of Text Classifiers
   2021/12/23 by Muhammad Bilal Zafar, Zafar, Muhammad Bilal, Philipp Schmidt +11 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Topic Modeling
4. Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
   2025/04/01 by Teodor Chiaburu, Chiaburu, Teodor, Felix Bießmann +3 · 2 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. CURED: Creating, Understanding, and Repairing Errors Demonstrator
   2026/07/22 by Nicholas Chandler, Sebastian Jäger, Philipp Jung +1
   Computer Science · #cs.LG