Sangheum Hwang

发表

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Eui Jin Hwang, J. Nam, Sunggyun Park, 2019, Radiology.

A robust support vector regression with a linear-log concave loss function

Chungmok Lee, Myong Kee Jeong, Dohyun Kim, 2016, J. Oper. Res. Soc..

Robust kernel-based regression with bounded influence for outliers

Bong-Jin Yum, Myong Kee Jeong, Dohyun Kim, 2015, J. Oper. Res. Soc..

Robust relevance vector machine for classification with variational inference

Sangheum Hwang, M. Jeong, 2015, Annals of Operations Research.

A new smart smudge attack using CNN

Sangheum Hwang, Hansub Shin, Hyuk-Yoon Kwon, 2021, International Journal of Information Security.

Elucidating Noisy Data via Uncertainty-Aware Robust Learning pdf

Sungjoon Choi, Sangheum Hwang, Jeongeun Park, 2021, ArXiv.

Self-Knowledge Distillation: A Simple Way for Better Generalization pdf

Sangheum Hwang, Kyungyul Kim, Doyoung Yoon, 2020, ArXiv.

Additive Ensemble Neural Networks

Dohyun Kim, Minyoung Park, Seungyeon Lee, 2020, IEEE Access.

A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

Minsoo Kim, Sangheum Hwang, Kyunghyun Paeng, 2016, DLMIA/ML-CDS@MICCAI.

Self-Knowledge Distillation with Progressive Refinement of Targets

Sangheum Hwang, Kyungyul Kim, Byeongmoon Ji, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Elucidating robust learning with uncertainty-aware corruption pattern estimation

Sangheum Hwang, Sungjoon Choi, Seungyoung Shin, 2021, Pattern Recognit..

Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge

Karl Rohr, Matheus Palhares Viana, Mitko Veta, 2018, Medical Image Anal..

Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks pdf

Sangheum Hwang, Sunggyun Park, Sunggyun Park, 2017, DLMIA/ML-CDS@MICCAI.

A novel approach for tuberculosis screening based on deep convolutional neural networks

Hyo-Eun Kim, Sangheum Hwang, Hee-Jin Kim, 2016, SPIE Medical Imaging.

A Scalable Feature Based Clustering Algorithm for Sequences with Many Distinct Items

Dohyun Kim, Sangheum Hwang, Sangheum Hwang, 2018, Int. J. Fuzzy Log. Intell. Syst..

Confidence-Aware Learning for Deep Neural Networks

Sangheum Hwang, Jooyoung Moon, Jihyo Kim, 2020, ICML.

A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks pdf

Sangheum Hwang, Jihyo Kim, Jiin Koo, 2021, Expert Systems with Applications.

Self-Transfer Learning for Weakly Supervised Lesion Localization

Hyo-Eun Kim, Sangheum Hwang, Sangheum Hwang, 2016, MICCAI.

Self-Transfer Learning for Fully Weakly Supervised Object Localization pdf

Hyo-Eun Kim, Sangheum Hwang, Sangheum Hwang, 2016, ArXiv.

Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation

Sangheum Hwang, Jihyo Kim, Suho Lee, 2023, ArXiv.

Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs Radiology

J. Nam, Sunggyun Park, E. J. Hwang, 2019 .

A new smart smudge attack using CNN

Sangheum Hwang, Hansub Shin, Sungyong Sim, 2021, Int. J. Inf. Sec..

A New Splitting Criterion for Better Interpretable Trees

Sangheum Hwang, Jung-Sik Hong, Hyeon Gyu Yeo, 2020, IEEE Access.

Supervised Contrastive Embedding for Medical Image Segmentation

Sangheum Hwang, Sangwoo Lee, Yejin Lee, 2021, IEEE Access.

Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation pdf

Hyo-Eun Kim, Sangheum Hwang, Sangheum Hwang, 2016, ArXiv.

Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation

Hyo-Eun Kim, Sangheum Hwang, Sangheum Hwang, 2016, 1602.04984.

A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks

Sangheum Hwang, Jihyo Kim, Jiin Koo, 2021, Expert Syst. Appl..

Robust Relevance Vector Machine With Variational Inference for Improving Virtual Metrology Accuracy

Bong-Jin Yum, Myong K. Jeong, Sangheum Hwang, 2014, IEEE Transactions on Semiconductor Manufacturing.

Robust relevance vector machine for classification with variational inference

Myong Kee Jeong, Sangheum Hwang, Sangheum Hwang, 2018, Ann. Oper. Res..

Confidence-Aware Learning for Deep Neural Networks

Sangheum Hwang, Jihyo Kim, Younghak Shin, 2020, ICML.

Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions

Sangheum Hwang, Jihyo Kim, J. Kim, 2023, ArXiv.