Towards intelligent services in smart home environments. - Can Basaran; Homin Park; Taejoon Park; Sang Hyuk Son (ISORC, 2013)

Poster: Are you driving?: non-intrusive driver detection using built-in smartphone sensors. - Homin Park; DaeHan Ahn; Myounggyu Won; Sang Hyuk Son; Taejoon Park (MobiCom, 2014)

Energy-Efficient Privacy Protection for Smart Home Environments Using Behavioral Semantics. - Homin Park; Can Basaran; Taejoon Park; Sang Hyuk Son (Sensors, 2014)

Asynchronous Distance Measurement for Smartphone-Based Localization Exploiting Chirp Signals. - Hong Jae Lee; Homin Park; Taejoon Park (MobiQuitous, 2015)

ReLiSCE: Utilizing Resource-Limited Sensors for Office Activity Context Extraction. - Homin Park; Jongjun Park; Hyunhak Kim; Jong Arm Jun; Sang Hyuk Son; Taejoon Park; JeongGil Ko (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Finding Compact Class Sets for Korean Font Image Classification. - Seungwon Shin 003; Dongkyu Kim; Homin Park; Byungkon Kang; Kyung-Ah Sohn (ACPR, 2017)

Maximizing Accuracy of Fall Detection and Alert Systems Based on 3D Convolutional Neural Network: Poster Abstract. - Seokhyun Hwang; DaeHan Ahn; Homin Park; Taejoon Park (IoTDI, 2017)

5.2 An 8Ω 10W 91%-power-efficiency 0.0023%-THD+N multi-level Class-D audio amplifier with folded PWM. - Ji-Hun Lee; Jun-Suk Bang; Kiduk Kim; Hui-Dong Gwon; Sang-Hui Park; Yeunhee Huh; Kye-Seok Yoon; Jong-Beom Baek; Yong-Min Ju; Gibbeum Lee; Homin Park; Hyeon-Min Bae; et al. (ISSCC, 2017)

Activity-Aware Sensor Cycling for Human Activity Monitoring in Smart Homes. - Homin Park; Seokhyun Hwang; Myounggyu Won; Taejoon Park (IEEE Commun. Lett., 2017)

Reliable Identification of Vehicle-Boarding Actions Based on Fuzzy Inference Syste. - DaeHan Ahn; Homin Park; Seokhyun Hwang; Taejoon Park (Sensors, 2017)

Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. - Mijung Kim; Ho-min Park; Jasper Zuallaert; Olivier Janssens; Sofie Van Hoecke; Wesley De Neve (BIBM, 2018)

RecGAN: recurrent generative adversarial networks for recommendation systems. - Homanga Bharadhwaj; Homin Park; Brian Y. Lim (RecSys, 2018)

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning. - Mijung Kim; Olivier Janssens; Ho-min Park; Jasper Zuallaert; Sofie Van Hoecke; Wesley De Neve (CoRR, 2018)

Automatic Identification of Driver's Smartphone Exploiting Common Vehicle-Riding Actions. - Homin Park; DaeHan Ahn; Taejoon Park; Kang G. Shin (IEEE Trans. Mob. Comput., 2018)

Hierarchical Multi-Task Learning for Healthy Drink Classification. - Homin Park; Homanga Bharadhwaj; Brian Y. Lim (IJCNN, 2019)

Accurate Driver Detection Exploiting Invariant Characteristics of Smartphone Sensors. - DaeHan Ahn; Homin Park; Kyoosik Shin; Taejoon Park (Sensors, 2019)

Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. - Ji Yeon Baek; Maria Krishna de Guzman; Ho-min Park; Sanghyeon Park; Boyeon Shin; Tanja Cirkovic Velickovic; Arnout Van Messem; Wesley De Neve (ICPR Workshops (6), 2020)

3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. - Ho-min Park; Byungkon Kang; Arnout Van Messem; Wesley De Neve (ICPR Workshops (4), 2020)

MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations. - Mijung Kim; Ho-min Park; Jae Yoon Kim; Seong Hwan Kim 002; Sofie Hoeke; Wesley De Neve (MLHC, 2020)

Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. - Hanul Kang; Ho-min Park; Yuju Ahn; Arnout Van Messem; Wesley De Neve (Image Perception, Observer Performance, and Technology Assessment, 2021)

SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. - Yunlong Wang 005; Jiaying Liu 010; Homin Park; Jordan Schultz-McArdle; Stephanie Rosenthal; Brian Y. Lim (CoRR, 2021)

Towards Multimodal Prediction of Time-continuous Emotion using Pose Feature Engineering and a Transformer Encoder. - Ho-min Park; Ilho Yun; Ajit Kumar 001; Ankit Kumar Singh; Bong Jun Choi 001; Dhananjay Singh 001; Wesley De Neve (MuSe @ ACM Multimedia, 2022)

MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. - Ho-min Park; Ganghyun Kim; Arnout Van Messem; Wesley De Neve (MuSe@ACM Multimedia, 2023)

Linking Mobility Traces of the Same User Across Different Datasets. - Dylan Zhang; Homin Park; Shili Xiang (SOLI, 2023)

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. - Utku Ozbulak; Hyun Jung Lee; Beril Boga; Esla Timothy Anzaku; Ho-min Park; Arnout Van Messem; Wesley De Neve; Joris Vankerschaver (Trans. Mach. Learn. Res., 2023)

CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. - Ho-min Park; Jongbum Won; Yunseol Park; Esla Timothy Anzaku; Joris Vankerschaver; Arnout Van Messem; Wesley De Neve; Hyunjin Shim (BMC Bioinform., 2023)

A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos. - Seyed Amir Mousavi; Francesca Tozzi; Homin Park; Esla Timothy Anzaku; Matthias Van Liefferinge; Nikdokht Rashidian; Wouter Willaert; Wesley De Neve (CMMCA@MICCAI, 2024)

AI-Based Percussive Acoustic Signal Classification for Fastener Strength Inspection of Stator Wedge. - Homin Park; Dongkoo Shon; Tae Hyun Yoon; Woo-Sung Jung; Jeong-Ho Park; Dae-Seung Yoo (ICTC, 2024)

RAMM: A Residual Attention Multimodal Model for Humor Detection. - Ankit Kumar Singh; Ganghyun Kim; Jaeheon Kim; Ho-min Park; Bong Jun Choi 001; Wesley De Neve (IHCI (2), 2024)

Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception. - Ankit Kumar Singh; Ganghyun Kim; Jaeheon Kim; Ho-min Park; Bong Jun Choi 001; Wesley De Neve (MuSe@ACM Multimedia, 2024)

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. - Hyun Jung Lee; Utku Ozbulak; Homin Park; Stephen Depuydt; Wesley De Neve; Joris Vankerschaver (BMC Bioinform., 2024)

Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability. - Khoa Tuan Nguyen; Homin Park; Gaeun Oh; Joris Vankerschaver; Wesley De Neve (ISBI, 2025)

Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022. - Ho-min Park; Ganghyun Kim; Jinsung Oh; Arnout Van Messem; Wesley De Neve (IEEE Trans. Affect. Comput., 2025)

Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation. - Khoa Tuan Nguyen; Gaeun Oh; Ho-min Park; Francesca Tozzi; Wouter Willaert; Joris Vankerschaver; Niki Rashidian; Wesley De Neve (CoRR, 2025)