Liznerski, Philipp
- Explainable Deep One-Class Classification
2020/07/03 by Liznerski, Philipp, Ruff, Lukas, Vandermeulen, Robert A. +3 · 16 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Anomaly Detection on Tennessee Eastman Process Data
2023/03/10 by Fabian Hartung, Hartung, Fabian, Billy Joe Franks +33 · 4 citations
Computer Science · Engineering · #Advanced Data Processing Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
- Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
2022/05/23 by Philipp Liznerski, Liznerski, Philipp, Lukas Ruff +9 · 3 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
2024/06/21 by Jonas Dippel, Niklas Prenißl, Dippel, Jonas +23 · 3 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Artificial Intelligence in Healthcare and Education #AI in cancer detection
- Interpretable Tensor Fusion
2024/05/07 by Saurabh Varshneya, Antoine Ledent, Varshneya, Saurabh +11 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks