Jongho Im

According to our database, Jongho Im authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Relabeling & raking algorithm for imbalanced classification.

Seunghwan Park, Hae-Hwan Lee, Jongho Im

Expert Syst. Appl., 2024

Overcoming Data Imbalance in Federated Learning with Calibration Weighting.

Nathaniel Kang, Yugyeong Lim, Jongho Im

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Resampling approach for one-Class classification.

Hae-Hwan Lee, Seunghwan Park, Jongho Im

Pattern Recognit., November, 2023

A New Global Measure to Simultaneously Evaluate Data Utility and Privacy Risk.

Donghoon Jeong, Joseph H. T. Kim, Jongho Im

IEEE Trans. Inf. Forensics Secur., 2023

2020

Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data.

Ikkyun Song, Yicheng Yang, Jongho Im, Tong Tong, Halil Ceylan, In Ho Cho

IEEE Trans. Knowl. Data Eng., 2020

A least squares-type density estimator using a polynomial function.

Jongho Im, Kosuke Morikawa, Hyung-Tae Ha

Comput. Stat. Data Anal., 2020

2019

Confirmatory Aspect-based Opinion Mining Processes.

Jongho Im, Taikgun Song, Youngsu Lee, Jewoo Kim

CoRR, 2019

2018

FHDI: An R Package for Fractional Hot Deck Imputation.

Jongho Im, In Ho Cho, Jae-Kwang Kim

R J., 2018

2016

A post-hoc genome-wide association study using matched samples.

Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park

Int. J. Data Min. Bioinform., 2016

2014

Genome-wide association analysis with matched samples discloses additional novel risk loci.

Jungsoo Gim, Sungkyoung Choi, Jongho Im, Jae-Kwang Kim, Taesung Park

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014