Ho-min Park

16 papers Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022.
IEEE Trans. Affect. Comput.
Ho-min Park, Ganghyun Kim, Jinsung Oh, Arnout Van Messem, Wesley De Neve
2025 J jnl
Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation.
CoRR
Khoa Tuan Nguyen, Gaeun Oh, Ho-min Park, Francesca Tozzi, Wouter Willaert, Joris Vankerschaver, Niki Rashidian, Wesley De Neve
2025 J jnl
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability.
CoRR
Khoa Tuan Nguyen, Ho-min Park, Gaeun Oh, Joris Vankerschaver, Wesley De Neve
2024 — conf
Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception.
MuSe@ACM Multimedia
Ankit Kumar Singh, Ganghyun Kim, Jaeheon Kim, Ho-min Park, Bong Jun Choi, Wesley De Neve
2024 — conf
RAMM: A Residual Attention Multimodal Model for Humor Detection.
IHCI (2)
Ankit Kumar Singh, Ganghyun Kim, Jaeheon Kim, Ho-min Park, Bong Jun Choi, Wesley De Neve
2023 J jnl
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins.
BMC Bioinform.
Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim
2023 J jnl
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.
CoRR
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023 J jnl
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.
Trans. Mach. Learn. Res.
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023 — conf
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery.
MuSe@ACM Multimedia
Ho-min Park, Ganghyun Kim, Arnout Van Messem, Wesley De Neve
2022 — conf
Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder.
MuSe @ ACM Multimedia
Ho-min Park, Ilho Yun, Ajit Kumar, Ankit Kumar Singh, Bong Jun Choi, Dhananjay Singh, Wesley De Neve
2021 — conf
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis.
Image Perception, Observer Performance, and Technology Assessment
Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve
2020 — conf
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics.
ICPR Workshops (4)
Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve
2020 — conf
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams.
ICPR Workshops (6)
Ji Yeon Baek, Maria Krishna de Guzman, Ho-min Park, Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve
2020 — conf
MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations.
MLHC
Mijung Kim, Ho-min Park, Jae Yoon Kim, Seong Hwan Kim, Sofie Hoeke, Wesley De Neve
2018 — conf
Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning.
BIBM
Mijung Kim, Ho-min Park, Jasper Zuallaert, Olivier Janssens, Sofie Van Hoecke, Wesley De Neve
2018 J jnl
Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning.
CoRR
Mijung Kim, Olivier Janssens, Ho-min Park, Jasper Zuallaert, Sofie Van Hoecke, Wesley De Neve