Seung‐Ik Lee

1. CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
   2020/11/24 by Muhammad Zaigham Zaheer, Arif Mahmood, Zaheer, Muhammad Zaigham +5 · 8 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Network Security and Intrusion Detection
2. Old is Gold: Redefining the Adversarially Learned One-Class Classifier\n Training Paradigm
   2020/04/16 by Muhammad Zaigham Zaheer, Zaheer, Muhammad Zaigham, Jinha Lee +5 · 5 citations
   Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. Learning Not to Reconstruct Anomalies
   2021/10/19 by Marcella Astrid, Astrid, Marcella, Muhammad Zaigham Zaheer +5 · 3 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Network Security and Intrusion Detection
4. Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
   2022/03/25 by Muhammad Zaigham Zaheer, Zaheer, Muhammad Zaigham, Arif Mahmood +5 · 3 citations
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection #Artificial Immune Systems Applications
5. Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization
   2018/01/16 by Marcella Astrid, Astrid, Marcella, Seung‐Ik Lee +3 · 2 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
6. Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
   2022/03/25 by Muhammad Zaigham Zaheer, Jin Ha Lee, Zaheer, Muhammad Zaigham +7 · 2 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research