Taesup Moon - Concepedia

Author

Taesup Moon

Sungkyunkwan University ORCID

Also Known As

Cho, Kyunghyun, Lee, Honglak, Moon, Taesup, T. Moon, T. Y. Moon, T.Y. Moon, Tae-Sung Moon, Taesup Moon, Wipf, David

144

Publications

2.7K

Citations

H-Index

124

Concepts

All Affiliations

Sungkyunkwan University Seoul National University Yahoo (United States)Daegu Gyeongbuk Institute of Science and Technology California State University, Fresno

About

Taesup Moon is an author at Sungkyunkwan University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	28	2K
2	Education	4	4	184
3	Health Sciences	4	4	718
4	Management	2	2	30
5	Arts	1	1	91

Taesup Moon

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks Youngwook Kim, Taesup Moon IEEE Geoscience and Remote Sensing Letters Convolutional Neural NetworkEngineeringMachine LearningActivity ClassificationHuman Pose Estimation	2015	630
Toward a unified framework for interpreting machine-learning models in neuroimaging Lada Kohoutová, Juyeon Heo, Sungmin Cha, Nature Protocols Machine-learning ModelsEngineeringNeuroimaging ModalityData ScienceDeep Learning	2020	172
Subtask Gated Networks for Non-Intrusive Load Monitoring Changho Shin, Sunghwan Joo, Jaeryun Yim, Proceedings of the AAAI Conference on Artificial Intelligence Convolutional Neural NetworkEngineeringMachine LearningNetwork AnalysisEducation	2019	134
Estimating PM2.5 concentration of the conterminous United States via interpretable convolutional neural networks Yongbee Park, Byungjoon Kwon, Juyeon Heo, Environmental Pollution Human Activity ImpactPollution DetectionEnvironmental MonitoringEngineeringEnvironmental Health	2019	132
Micro-Doppler Based Classification of Human Aquatic Activities via Transfer Learning of Convolutional Neural Networks Jinhee Park, Rios Jesus Javier, Taesup Moon, Sensors	2016	119
RNNDROP: A novel dropout for RNNS in ASR Taesup Moon, Heeyoul Choi, Hoshik Lee, EngineeringMachine LearningWeight Noise InjectionAutoencodersRecurrent Neural Network	2015	99
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn, Sungmin Cha, Dong-Gyu Lee, arXiv (Cornell University) Artificial IntelligenceIncremental LearningAdaptive RegularizationEngineeringMachine Learning	2019	93
Learning to model relatedness for news recommendation Yuanhua Lv, Taesup Moon, Pranam Kolari, EngineeringIntelligent Information RetrievalCorpus LinguisticsJournalismText Mining	2011	91
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo, Sunghwan Joo, Taesup Moon arXiv (Cornell University) Artificial IntelligenceModel ManipulationEngineeringMachine LearningData Science	2019	73
Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation Toan Duc Bui, Jitae Shin, Taesup Moon Biomedical Signal Processing and Control EngineeringMedical ImagingMedical Image ComputingBiomedical ImagingSkip-connected 3D	2019	58

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