Tae Hoon Kim

21 papers A* 3A 1B 2C 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes.
Neural Comput. Appl.
Tae Hoon Kim, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Gabriel Avelino R. Sampedro
2025 J jnl
Correction: Automated explainable and interpretable framework for anomaly detection and human activity recognition in smart homes.
Neural Comput. Appl.
Tae Hoon Kim, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Gabriel Avelino R. Sampedro
2025 J jnl
Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity.
IEEE Access
Sivarama Prasad Tera, Ravikumar Chinthaginjala, Giovanni Pau, Tae Hoon Kim
2024 J jnl
Correction: Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
BMC Medical Informatics Decis. Mak.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Taehoon Lee, Yongwon Cho, Tae Hoon Kim
2024 J jnl
Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
BMC Medical Informatics Decis. Mak.
Junhu Tai, Munsoo Han, Bo Yoon Choi, Sung Hoon Kang, Hyeongeun Kim, Jiwon Kwak, Dabin Lee, Taehoon Lee, Yongwon Cho, Tae Hoon Kim
2024 J jnl
Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection.
Peer Peer Netw. Appl.
Tae Hoon Kim, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Gabriel Avelino R. Sampedro, Sidra Abbas
2024 A* conf
Perspective: A Principled Framework for Pliable and Secure Speculation in Operating Systems.
ISCA
Tae Hoon Kim, David Rudo, Kaiyang Zhao, Zirui Neil Zhao, Dimitrios Skarlatos
2024 J jnl
SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection.
Frontiers Comput. Neurosci.
Tae Hoon Kim, Moez Krichen, Stephen Ojo, Gabriel Avelino R. Sampedro, Meznah A. Alamro
2018 C conf
Load monitoring effects and characteristics of DC home.
ICCE
Jinwook Lee, Sung-Yong Son, Eunsung Oh, Tae Hoon Kim, Ju Yong Kim
2016 J jnl
The influence of the number of relevant causes on the processing of covariation information in causal reasoning.
Cogn. Process.
Kyung-il Kim, Arthur B. Markman, Tae Hoon Kim
2013 J jnl
Learning Full Pairwise Affinities for Spectral Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2010 B conf
A Unified Probabilistic Approach to Feature Matching and Object Segmentation.
ICPR
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2010 A* conf
Learning full pairwise affinities for spectral segmentation.
CVPR
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2010 A* conf
Nonparametric higher-order learning for interactive segmentation.
CVPR
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2009 — conf
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart.
ACCV (3)
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2009 B conf
Edge-preserving colorization using data-driven Random Walks with Restart.
ICIP
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2009 A conf
Incorporating Higher-Order Cues in Image Colorization.
BMVC
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2008 — conf
Generative Image Segmentation Using Random Walks with Restart.
ECCV (3)
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
2008 — conf
Segment-based Foreground Object Disparity Estimation Using Zcam and Multiple-View Stereo.
IIH-MSP
Tae Hoon Kim, Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
2007 — conf
A Methodology for Construction Information System for Small Size Organization with Excel/VBA.
HCI (8)
Hyun Seok Jung, Tae Hoon Kim
2005 J jnl
Adaptive Divisible Load Scheduling Strategies for Workstation Clusters with Unknown Network Resources.
IEEE Trans. Parallel Distributed Syst.
Debasish Ghose, Hyoung Joong Kim, Tae Hoon Kim