Ho-min Park

Ghent University Global Campus — South Korea

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index329citations62works1.42yr avg
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Research Topics

RNA and protein synthesis mechanisms(7), CRISPR and Genetic Engineering(6), Bacterial Genetics and Biotechnology(3), Natural Language Processing Techniques(3), Glaucoma and retinal disorders(3)

Publications62 total

Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
arXiv (Cornell University)·2025Open Access
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
arXiv (Cornell University)·2025Open Access
RAMM: A Residual Attention Multimodal Model for Humor Detection
Lecture notes in computer science·2025· 1 cited
The Most Overestimated <i>Q</i> Value Regularization in High-Dimensional Discrete Action Spaces for Offline Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems·2025
Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022
IEEE Transactions on Affective Computing·2024· 4 citedOpen Access
Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception
2024· 1 citedOpen Access
A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos
Lecture notes in computer science·2024· 2 citedOpen Access
Development of a video-based deep learning model for differentiation of malignant and benign lesions during staging laparoscopy: Is the machine better than the expert?
Journal of Clinical Oncology·2024
Assessing the reliability of point mutation as data augmentation for deep learning with genomic data
BMC Bioinformatics·2024· 5 citedOpen Access
Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP
2024
A Corpus-based Multilingual Comparison of AI-based Machine Translations
Korean Journal of English Language and Linguistics·2024· 2 cited
Linking Mobility Traces of the Same User Across Different Datasets
2023
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery
2023· 4 citedOpen Access
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
arXiv (Cornell University)·2023· 13 citedOpen Access
Discovering Biomarker Proteins and Peptides for Parkinson’s Disease Prognosis Prediction with Machine Learning and Interpretability Methods
2023· 2 citedOpen Access
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins
BMC Bioinformatics·2023· 3 citedOpen Access
CRISPR-Cas-Docker: Web-based <i>in silico</i> docking and machine learning-based classification of crRNAs with Cas proteins
2023Open Access
Feature_selection.zip
Figshare·2023Open Access
SHAP_scores.zip
Figshare·2023Open Access
attention.zip
Figshare·2023Open Access
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Frequent Co-authors

Wesley De Neve(28), Arnout Van Messem(16), Joris Vankerschaver(8), Taejoon Park(5), Mijung Kim(5), Min-Ah Cheon(5), Jae‐Hoon Kim(5), Yunseol Park(4), Hyunjin Shim(4), Sofie Van Hoecke(4), Ganghyun Kim(4), Chang-Hyun Kim(4), Sang H. Son(3), Jasper Zuallaert(3), Olivier Janssens(3), Esla Timothy Anzaku(3), Bong Jun Choi(3), Se-Eun Jhang(3), Sanghyeon Park(2), Maria Krishna de Guzman(2)