Elliptic Differential Equations with Coefficients Measurable with Respect to One Variable and VMO with Respect to the Others. - Doyoon Kim; Nicolai V. Krylov (SIAM J. Math. Anal., 2007)

Parabolic and Elliptic Systems in Divergence Form with Variably Partially BMO Coefficients. - Hongjie Dong; Doyoon Kim (SIAM J. Math. Anal., 2011)

Parabolic Equations in Simple Convex Polytopes with Time Irregular Coefficients. - Hongjie Dong; Doyoon Kim (SIAM J. Math. Anal., 2014)

Deep Transfer Learning for Automated Diagnosis of Skin Lesions from Photographs. - Emma Rocheteau; Doyoon Kim (CoRR, 2020)

A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance. - Jin-Chul Heo; Doyoon Kim; Hyunsoo An; Chang Sik Son; Sangwoo Cho; Jong-Ha Lee (Sensors, 2021)

Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm. - Sungtae Moon; Donghun Lee; Dongoo Lee; Doyoon Kim; Hyochoong Bang (Sensors, 2021)

Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews. - Yukyung Lee; Jaehee Kim; Doyoon Kim; Yookyung Kho; Younsun Kim; Pilsung Kang 001 (WASSA@ACL, 2023)

Swarm Reconnaissance Drone System for Real-Time Object Detection Over a Large Area. - Sungtae Moon; Jihun Jeon; Doyoon Kim; Yongwoo Kim (IEEE Access, 2023)

Cost-Effective Solution for Fallen Tree Recognition Using YOLOX Object Detection. - Hearim Moon; Juyeong Lee; Doyoon Kim; Eunsik Park; Junghyun Moon; Minsun Lee; Minji Lee; Eric T. Matson (Int. J. Semantic Comput., 2023)

NetPRS: SNP Interaction Aware Network-Based Polygenic Risk Score for Alzheimer's Disease. - Sunghong Park; Dong-Gi Lee; Juhyeon Kim; Doyoon Kim; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Kanghee Park; Dokyoon Kim; Hyunjung Shin; Hyun Goo Woo (BHI, 2024)

Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network. - Sunghong Park; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Doyoon Kim; Hyunjung Shin; Hyun Goo Woo (Briefings Bioinform., 2024)

Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network. - Sunghong Park; Doyoon Kim; Heirim Lee; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Dokyoon Kim; Yonghyun Nam; Dong-Gi Lee; Hyunjung Shin; Hyun Goo Woo (Comput. Biol. Medicine, 2024)

Advanced approach for mining utility occupancy patterns in incremental environment. - Myungha Cho; Hanju Kim; Seungwan Park; Doyoung Kim; Doyoon Kim; Unil Yun (Knowl. Based Syst., 2024)

Advanced incremental erasable pattern mining from the time-sensitive data stream. - Hanju Kim; Myungha Cho; Hyoju Nam; Yoonji Baek; Seungwan Park; Doyoon Kim; Bay Vo; Unil Yun (Knowl. Based Syst., 2024)

Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets. - Seongho Bak; Sowon Choi; Donguk Yang; Doyoon Kim; Heeseon Rho; Kyoobin Lee (IEEE Access, 2025)

NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network. - Sunghong Park; Doyoon Kim; Ji-Hye Choi; Changhyung Hong; Sang Joon Son; Hyunwoong Roh; Hyunjung Shin; Hyun Goo Woo (Briefings Bioinform., 2025)

Temporal fuzzy utility-based data analysis on data streams. - Hanju Kim; Myungha Cho; Seungwan Park; Doyoon Kim; Doyoung Kim; Taewoong Ryu; Chanhee Lee; Unil Yun (Expert Syst. Appl., 2025)

Sliding window-based high utility occupancy pattern mining for data streams. - Seungwan Park; Taewoong Ryu; Doyoon Kim; Doyoung Kim; Hanju Kim; Myungha Cho; Unil Yun (Inf. Sci., 2025)

Approximate erasable pattern discovery and analytics on stream data. - Seungwan Park; Hyunsoo Kim; Hanju Kim; Myungha Cho; Doyoung Kim; Doyoon Kim; Unil Yun (Knowl. Based Syst., 2025)

Uncertainty-Driven Pattern Mining on Incremental Data for Stream Analyzing Service. - Myungha Cho; Hanju Kim; Yoonji Baek; Seungwan Park; Doyoon Kim; Doyoung Kim; Chanhee Lee; Bay Vo; Witold Pedrycz; Unil Yun (IEEE Trans. Serv. Comput., 2025)

Uncertainty Oriented-Incremental Erasable Pattern Mining Over Data Streams. - Hanju Kim; Myungha Cho; Hyeonmo Kim; Yoonji Baek; Chanhee Lee; Taewoong Ryu; Heonho Kim; Seungwan Park; Doyoon Kim; Doyoung Kim; Sinyoung Kim; Bay Vo; et al. (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Causal-Paced Deep Reinforcement Learning. - Geonwoo Cho; Jaegyun Im; Doyoon Kim; Sundong Kim (CoRR, 2025)

Damped weighted erasable itemset mining with time sensitive dynamic environments. - Hanju Kim; Myungha Cho; Seungwan Park; Doyoung Kim; Doyoon Kim; Unil Yun (J. Big Data, 2025)

DFPM: Damped window-based flexible periodic pattern analysis on the time-decaying model. - Hanju Kim; Myungha Cho; Taewoong Ryu; Seungwan Park; Doyoon Kim; Doyoung Kim; Hyeonmo Kim; Heonho Kim; Unil Yun (Future Gener. Comput. Syst., 2026)