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Marius Kloft

  1. A Unifying Review of Deep and Shallow Anomaly Detection
    2021/02/05 by Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5 · 74 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #Imbalanced Data Classification Techniques
  2. Security Analysis of Online Centroid Anomaly Detection
    2010/02/27 by Marius Kloft, Kloft, Marius, Pavel Laskov +1 · 8 citations
    Computer Science · #Network Security and Intrusion Detection #Anomaly Detection Techniques and Applications #Spam and Phishing Detection
  3. On the Challenges and Opportunities in Generative AI
    2024/02/28 by Laura Manduchi, Manduchi, Laura, Meister, Clara +48 · 9 citations
    Computer Science · #AI-based Problem Solving and Planning #Cognitive Computing and Networks #Evolutionary Algorithms and Applications
  4. Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to\n Novel Algorithms
    2015/06/14 by Yunwen Lei, Lei, Yunwen, Ürün Doǧan +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and ELM
  5. Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
    2016/02/18 by Niloofar Yousefi, Yunwen Lei, Yousefi, Niloofar +7 · 2 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
  6. How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
    2020/06/16 by Kirill Bykov, Marina Höhne, Bykov, Kirill +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Evaluating Dynamic Topic Models
    2023/09/12 by Charu Karakkaparambil James, Mayank Nagda, James, Charu +7 · 2 citations
    Computer Science · Social Sciences · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Topic Modeling
  8. Anomaly Detection of Tabular Data Using LLMs
    2024/06/24 by Aodong Li, Li, Aodong, Yunhan Zhao +11 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
    2022/05/23 by Philipp Liznerski, Lukas Ruff, Liznerski, Philipp +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)
  10. Localized Multiple Kernel Learning---A Convex Approach
    2015/06/14 by Yunwen Lei, Alexander Binder, Lei, Yunwen +5 · 1 citation
    Computer Science · Engineering · #Face and Expression Recognition #Sparse and Compressive Sensing Techniques #Neural Networks and Applications
  11. AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics
    2024/06/21 by Jonas Dippel, Niklas Prenißl, Dippel, Jonas +23 · 2 citations
    Medicine · Computer Science · #COVID-19 diagnosis using AI #Artificial Intelligence in Healthcare and Education #AI in cancer detection
  12. Feature Importance Measure for Non-linear Learning Algorithms
    2016/11/22 by Marina M.-C. Vidovic, Nico Görnitz, Vidovic, Marina M. -C. +5 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
  13. Zero-Shot Anomaly Detection via Batch Normalization
    2023/02/15 by Aodong Li, Chen Qiu, Li, Aodong +9 · 1 citation
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning
  14. 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
  15. SetPINNs: Set-based Physics-informed Neural Networks
    2024/09/30 by Mayank Nagda, Phil Ostheimer, Nagda, Mayank +12 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications