E-LIB Suche - Ergebnisse für: Lee, Jaegil

1

Breaking the Time-Frequency Granularity Discrepancy in Time..:

, In: Proceedings of the ACM on Web Conference 2024,

Nam, Youngeun ; Yoon, Susik ; Shin, Yooju... - p. 4204-4215 , 2024

Link: https://dl.acm.org/doi/1..

2

Modeling and Demonstration for Multi-level Weight Conductan..:

, In: 2024 IEEE International Memory Workshop (IMW),

Koo, Won-Tae ; Lee, Jae-Gil ; Lee, Gunhee... - p. 1-4 , 2024

Link: https://doi.org/10.1109/..

3

Voice orientation of conversational interfaces in vehicles:

Lee, Kwan Min ; Moon, Yohan ; Park, Inyoung.
Behaviour & Information Technology. 43 (2023) 3 - p. 433-444 , 2023

Link: https://doi.org/10.1080/..

4

Temporal Convolutional Network-Based Time-Series Segmentati..:

, In: 2023 IEEE International Conference on Big Data and Smart Computing (BigComp),

Min, Hyangsuk ; Lee, Jae-Gil - p. 269-276 , 2023

Link: https://doi.org/10.1109/..

5

Learning From Noisy Labels With Deep Neural Networks: A Sur..:

Song, Hwanjun ; Kim, Minseok ; Park, Dongmin..
IEEE Transactions on Neural Networks and Learning Systems. 34 (2023) 11 - p. 8135-8153 , 2023

Link: https://doi.org/10.1109/..

6

Chatbot's Complementary Motivation Support in Developing St..:

Ryong, Kyungjin ; Lee, Daeho ; Lee, Jae-gil
International Journal of Human–Computer Interaction. 40 (2023) 10 - p. 2641-2655 , 2023

Link: https://doi.org/10.1080/..

7

Data collection and quality challenges in deep learning: a ..:

Whang, Steven Euijong ; Roh, Yuji ; Song, Hwanjun.
The VLDB Journal. 32 (2023) 4 - p. 791-813 , 2023

Link: https://doi.org/10.1007/..

8

MG-TAR: Multi-View Graph Convolutional Networks for Traffic..:

Trirat, Patara ; Yoon, Susik ; Lee, Jae-Gil
IEEE Transactions on Intelligent Transportation Systems. 24 (2023) 4 - p. 3779-3794 , 2023

Link: https://doi.org/10.1109/..

9

Context-Aware Deep Time-Series Decomposition for Anomaly De..:

, In: Lecture Notes in Computer Science; Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track,

Nam, Youngeun ; Trirat, Patara ; Kim, Taeyoon.. - p. 330-345 , 2023

Link: https://doi.org/10.1007/..

10

When the machine learns from users, is it helping or snoopi..:

Lee, Sangwook ; Moon, Won-Ki ; Lee, Jae-Gil.
Computers in Human Behavior. 138 (2023) - p. 107427 , 2023

Link: https://doi.org/10.1016/..

11

High enrichment and near real-time quantification of airbor..:

Bhardwaj, Jyoti ; Ngo, Nhan Dinh ; Lee, Jaegil.
Journal of Hazardous Materials. 442 (2023) - p. 130006 , 2023

Link: https://doi.org/10.1016/..

12

Harmonic Analysis of Laboratory-Based Power System Utilizin..:

, In: 2023 IEEE Vehicle Power and Propulsion Conference (VPPC),

Tran, Vu-Khanh ; Lee, Jae-Gil ; Paul, Sarbajit... - p. 01-06 , 2023

Link: https://doi.org/10.1109/..

13

Bi-directional coupled electro-thermal behaviors of tractio..:

Paul, Sarbajit ; Lee, Jae-Gil ; Han, Pil-Wan...
Case Studies in Thermal Engineering. 49 (2023) - p. 103248 , 2023

Link: https://doi.org/10.1016/..

14

Adaptive Model Pooling for Online Deep Anomaly Detection fr..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Yoon, Susik ; Lee, Youngjun ; Lee, Jae-Gil. - p. 2347-2357 , 2022

Link: https://dl.acm.org/doi/1..

15

Influence of Rapport and Social Presence with an AI Psychot..:

Lee, Jieon ; Lee, Daeho ; Lee, Jae-gil
International Journal of Human–Computer Interaction. 40 (2022) 7 - p. 1620-1631 , 2022

Link: https://doi.org/10.1080/..