Younghoon Lee

发表

Mixing Approach for Text Data Augmentation Based on an Ensemble of Explainable Artificial Intelligence Methods

Jinhae Choi, Jinyi Yu, Younghoon Lee, 2022, Neural Processing Letters.

Explainability-based mix-up approach for text data augmentation

Younghoon Lee, Soonki Kwon, 2022 .

Determining user needs through abnormality detection and heterogeneous embedding of usage sequence

Sungzoon Cho, Jinhae Choi, Younghoon Lee, 2019, Electronic Commerce Research.

User segmentation via interpretable user representation and relative similarity-based segmentation method

Sungzoon Cho, Younghoon Lee, 2020, Multimedia Systems.

Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning

Sungzoon Cho, Jinhae Choi, Younghoon Lee, 2019, Neural Processing Letters.

Smartphone user segmentation based on app usage sequence with neural networks

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2017, Telematics Informatics.

Explainability-Based Mix-Up Approach for Text Data Augmentation

Younghoon Lee, Soonki Kwon, 2023, ACM Trans. Knowl. Discov. Data.

Extraction and prioritization of product attributes using an explainable neural network

Sungzoon Cho, Younghoon Lee, Jungmin Park, 2020, Pattern Analysis and Applications.

De-noising documents with a novelty detection method utilizing class vectors

Sungzoon Cho, Younghoon Lee, Jinhae Choi, 2018, Intell. Data Anal..

App usage prediction for dual display device via two-phase sequence modeling

Sungzoon Cho, Jinhae Choi, Younghoon Lee, 2019, Pervasive Mob. Comput..

User segmentation via interpretable user representation and relative similarity-based segmentation method

Sungzoon Cho, Younghoon Lee, Sungzoon Cho, 2020, Multimedia Systems.

Document representation based on probabilistic word clustering in customer-voice classification

Sungzoon Cho, Jinhae Choi, Younghoon Lee, 2019, Pattern Analysis and Applications.

Applying convolution filter to matrix of word-clustering based document representation

Sungzoon Cho, Jinbae Im, Younghoon Lee, 2018, Neurocomputing.

Identifying Competitive Attributes Based on an Ensemble of Explainable Artificial Intelligence

Younghoon Lee, 2022, Business & Information Systems Engineering.

Explainable Artificial Intelligence-Based Competitive Factor Identification

Younghoon Lee, Juhee Han, Younghoon Lee, 2021, ACM Trans. Knowl. Discov. Data.

Extraction of Competitive Factors in a Competitor Analysis Using an Explainable Neural Network

Younghoon Lee, Younghoon Lee, 2021, Neural Processing Letters.

CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails pdf

Richard E. Harang, Richard Harang, Joshua Saxe, 2020, ArXiv.

Serendipity adjustable application recommendation via joint disentangled recurrent variational auto-encoder

Younghoon Lee, Younghoon Lee, 2020, Electron. Commer. Res. Appl..

Systematic Homonym Detection and Replacement Based on Contextual Word Embedding

Younghoon Lee, Younghoon Lee, 2020, Neural Processing Letters.

Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets

Sungzoon Cho, Younghoon Lee, Sungzoon Cho, 2019, Int. J. Hum. Comput. Interact..