Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network. - Gichang Lee; Jaeyun Jeong; Seungwan Seo; CzangYeob Kim; Pilsung Kang 001 (CoRR, 2017)

Sentiment classification with word localization based on weakly supervised learning with a convolutional neural network. - Gichang Lee; Jaeyun Jeong; Seungwan Seo; CzangYeob Kim; Pilsung Kang 001 (Knowl. Based Syst., 2018)

Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning. - Myeongjun Jang; Seungwan Seo; Pilsung Kang 001 (Inf. Sci., 2019)

Comparative Study of Deep Learning-Based Sentiment Classification. - Seungwan Seo; CzangYeob Kim; Haedong Kim; Kyounghyun Mo; Pilsung Kang 001 (IEEE Access, 2020)

Unusual customer response identification and visualization based on text mining and anomaly detection. - Seungwan Seo; Deokseong Seo; Myeongjun Jang; Jaeyun Jeong; Pilsung Kang 001 (Expert Syst. Appl., 2020)

Corrigendum to "Recurrent neural network-based semantic variational autoencoder for Sequence-to-sequence learning" [Information Sciences 490 (2019) 59-73]. - Myeongjun Jang; Seungwan Seo; Pilsung Kang 001 (Inf. Sci., 2020)

Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms. - CzangYeob Kim; Myeongjun Jang; Seungwan Seo; Kyeongchan Park; Pilsung Kang 001 (IEEE Access, 2021)

An Active Reference Reset Method Adapting Distribution Shift for Robust System Anomaly Detection. - Seungwan Seo; Heejeong Choi; Pilsung Kang 001 (ICTC, 2022)

Circular Radio-Frequency Electrode With MEMS Temperature Sensors for Laparoscopic Renal Sympathetic Denervation. - Jinhwan Baik; Seungwan Seo; Sangyong Lee; Sunchoel Yang; Sung-Min Park 001 (IEEE Trans. Biomed. Eng., 2022)

Cost-free adversarial defense: Distance-based optimization for model robustness without adversarial training. - Seungwan Seo; Yunseung Lee; Pilsung Kang 001 (Comput. Vis. Image Underst., 2023)

Exploring the differences in adversarial robustness between ViT- and CNN-based models using novel metrics. - Jaehyuk Heo; Seungwan Seo; Pilsung Kang 001 (Comput. Vis. Image Underst., 2023)