Lenon Minorics
- Feature relevance quantification in explainable AI: A causal problem
2019/10/29 by Dominik Janzing, Janzing, Dominik, Lenon Minorics +3 · 20 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Causal structure based root cause analysis of outliers
2019/12/05 by Dominik Janzing, Janzing, Dominik, Kailash Budhathoki +5 · 10 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Safety Analysis #Statistics Theory (math.ST)
- Unsupervised Model Selection for Time-series Anomaly Detection
2022/10/03 by Mononito Goswami, Goswami, Mononito, Cristian Challú +7 · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Time Series Analysis and Forecasting
- Causal Forecasting:Generalization Bounds for Autoregressive Models
2021/11/18 by Leena Chennuru Vankadara, Philipp M. Faller, Vankadara, Leena Chennuru +8 · 1 citation
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
- Manifold Restricted Interventional Shapley Values
2023/01/10 by Muhammad Faaiz Taufiq, Taufiq, Muhammad Faaiz, Patrick Blöbaum +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification