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Younghoon Lee
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2020 – today
- 2024
- [j33]Jungmin Park, Younghoon Lee:
Key attribute generation from review texts based on in-context learning for recommender systems. Appl. Intell. 54(20): 10194-10205 (2024) - [j32]Younghoon Lee:
Opinion convergence-based sentiment prediction of image advertisement. Int. J. Multim. Inf. Retr. 13(1): 6 (2024) - [j31]Yuho Cha, Younghoon Lee
:
Advanced sentence-embedding method considering token importance based on explainable artificial intelligence and text summarization model. Neurocomputing 564: 126987 (2024) - [j30]Subyeong Ku
Soft modularized robotic arm for safe human-robot interaction based on visual and proprioceptive feedback. Int. J. Robotics Res. 43(8): 1128-1150 (2024) - [j29]Seonjin Hwang, Younghoon Lee:
Prompt2Rec: Prompt based user and item re-characterizing method for recommendation. Inf. Sci. 678: 121046 (2024) - [j28]Soonki Kwon, Younghoon Lee
Enhancing abstractive summarization of implicit datasets with contrastive attention. Neural Comput. Appl. 36(25): 15337-15351 (2024) - [j27]Jungmin Park, Younghoon Lee
Advanced pseudo-labeling approach in mixing-based text data augmentation method. Pattern Anal. Appl. 27(4): 129 (2024) - 2023
- [j26]Jonghwan Park, Younghoon Lee
Oriented-tooth recognition using a five-axis object-detection approach. Appl. Intell. 53(9): 9846-9857 (2023) - [j25]Jinyi Yu, Jinhae Choi, Younghoon Lee
Mixing Approach for Text Data Augmentation Based on an Ensemble of Explainable Artificial Intelligence Methods. Neural Process. Lett. 55(2): 1741-1757 (2023) - [j24]Suhan Kim
Laser-assisted failure recovery for dielectric elastomer actuators in aerial robots. Sci. Robotics 8(76) (2023) - [j23]Soonki Kwon
Explainability-Based Mix-Up Approach for Text Data Augmentation. ACM Trans. Knowl. Discov. Data 17(1): 13:1-13:14 (2023) - 2022
- [j22]Younghoon Lee:
Identifying Competitive Attributes Based on an Ensemble of Explainable Artificial Intelligence. Bus. Inf. Syst. Eng. 64(4): 407-419 (2022) - [j21]Juhee Han, Younghoon Lee
Explainable Artificial Intelligence-Based Competitive Factor Identification. ACM Trans. Knowl. Discov. Data 16(1): 10:1-10:11 (2022) - 2021
- [j20]Younghoon Lee
Determining user needs through abnormality detection and heterogeneous embedding of usage sequence. Electron. Commer. Res. 21(2): 245-261 (2021) - [j19]Jonghwan Park, Younghoon Lee
Content Prioritization Based on Usage Pattern Analysis. Int. J. Hum. Comput. Interact. 37(17): 1598-1606 (2021) - [j18]Hohyun Hwang, Younghoon Lee:
Usability Problem Identification Based on Explainable Neural Network in Asynchronous Testing Environment. Interact. Comput. 33(2): 155-166 (2021) - [j17]Younghoon Lee
User segmentation via interpretable user representation and relative similarity-based segmentation method. Multim. Syst. 27(1): 61-72 (2021) - [j16]Younghoon Lee
Systematic Homonym Detection and Replacement Based on Contextual Word Embedding. Neural Process. Lett. 53(1): 17-36 (2021) - [j15]Younghoon Lee
Extraction of Competitive Factors in a Competitor Analysis Using an Explainable Neural Network. Neural Process. Lett. 53(3): 1979-1994 (2021) - [c3]Hohyun Hwang, Younghoon Lee:
Semi-Supervised Learning Based on Auto-generated Lexicon Using XAI in Sentiment Analysis. RANLP 2021: 593-600 - 2020
- [j14]Younghoon Lee:
Serendipity adjustable application recommendation via joint disentangled recurrent variational auto-encoder. Electron. Commer. Res. Appl. 44: 101017 (2020) - [j13]Younghoon Lee
Abnormal Usage Sequence Detection for Identification of User Needs via Recurrent Neural Network Semantic Variational Autoencoder. Int. J. Hum. Comput. Interact. 36(7): 631-640 (2020) - [j12]Younghoon Lee
Design of Semantic-Based Colorization of Graphical User Interface Through Conditional Generative Adversarial Nets. Int. J. Hum. Comput. Interact. 36(8): 699-708 (2020) - [j11]Younghoon Lee, Jungmin Park, Sungzoon Cho:
Extraction and prioritization of product attributes using an explainable neural network. Pattern Anal. Appl. 23(4): 1767-1777 (2020) - [j10]Younghoon Lee
Ionic spiderwebs. Sci. Robotics 5(44): 5405 (2020)
2010 – 2019
- 2019
- [j9]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
Smartphone help contents re-organization considering user specification via conditional GAN. Int. J. Hum. Comput. Stud. 129: 108-115 (2019) - [j8]Younghoon Lee
Extraction of Product Evaluation Factors with a Convolutional Neural Network and Transfer Learning. Neural Process. Lett. 50(1): 149-164 (2019) - [j7]Younghoon Lee
Document representation based on probabilistic word clustering in customer-voice classification. Pattern Anal. Appl. 22(1): 221-232 (2019) - [j6]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
App usage prediction for dual display device via two-phase sequence modeling. Pervasive Mob. Comput. 58 (2019) - 2018
- [j5]Younghoon Lee, Sungzoon Cho, Jinhae Choi:
De-noising documents with a novelty detection method utilizing class vectors. Intell. Data Anal. 22(4): 717-733 (2018) - [j4]Younghoon Lee, Jinbae Im
Applying convolution filter to matrix of word-clustering based document representation. Neurocomputing 315: 210-220 (2018) - [j3]Younghoon Lee, Inbeom Park, Sungzoon Cho, Jinhae Choi:
Smartphone user segmentation based on app usage sequence with neural networks. Telematics Informatics 35(2): 329-339 (2018) - 2013
- [j2]Manhyun Chung, Younghoon Lee, Taeshik Shon, Jongsub Moon:
A security model for IPTV with one-time password and Conditional Access System for smart mobile platform. Telecommun. Syst. 52(2): 1399-1407 (2013) - 2012
- [j1]Younghoon Lee, Jungsoo Kim, Chong-Min Kyung:
Energy-Aware Video Encoding for Image Quality Improvement in Battery-Operated Surveillance Camera. IEEE Trans. Very Large Scale Integr. Syst. 20(2): 310-318 (2012) - 2011
- [c2]Hojin Kim, Seonhyeon Lee, Younghoon Lee, Sangseok Lee:
Flexible inverted-L antenna with parasitic elements for E-note. APCC 2011: 370-373 - 2010
- [c1]Jungsoo Kim, Younghoon Lee, Sungjoo Yoo, Chong-Min Kyung:
An analytical dynamic scaling of supply voltage and body bias exploiting memory stall time variation. ASP-DAC 2010: 575-580
Coauthor Index
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last updated on 2024-10-23 20:27 CEST by the dblp team
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