| 2025 |
Temporal Variational Autoencoder Model for In-hospital Clinical Emergency Prediction |
Biomedical Signal Processing and Control |
| 2025 |
Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience |
Royal Society Open Science |
| 2025 |
Switch Fusion for Continuous Emotion Estimation from Multiple Physiological Signals |
Biomedical Signal Processing and Control |
| 2025 |
Multilevel Spatial-Temporal Feature Analysis for Generic Event Boundary Detection in Videos |
Computer Vision and Image Understanding |
| 2025 |
Adapting Gated Axial Attention for Microscopic Hyperspectral Cholangiocarcinoma Image Segmentation |
Electronics |
| 2025 |
Course-Level Clustering to Enhance Dropout Prediction Accuracy |
Scientific Reports |
| 2025 |
Pathology image-based predictive model for individual survival time of early-stage lung adenocarcinoma patients |
IEEE Access |
| 2024 |
Multi-scale context UNet-like network with redesigned skip connections for medical image segmentation |
Computer Methods and Programs in Biomedicine |
| 2024 |
Additive Cross-Modal Attention Network (ACMA) for Depression Detection Based on Audio and Textual Features |
IEEE Access |
| 2024 |
A Comparison between Centralized and Asynchronous Federated Learning Approaches for Survival Outcome Prediction using Clinical and PET Data |
Computer Methods and Programs in Biomedicine |
| 2024 |
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models |
Biomedical Signal Processing and Control |
| 2024 |
4T-Net: Multitask deep learning for nuclear analysis from pathology image |
Multimedia Tools and Applications |
| 2024 |
Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in ICU |
IEEE Access |
| 2024 |
Multi-Gradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems |
IEEE Intelligent Systems |
| 2023 |
Mulvernet: Nucleus Segmentation and Classification of Pathology Images Using the HoVer-Net |
Electronics |
| 2023 |
A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis |
Healthcare |
| 2023 |
Pain Recognition with Physiological Signals Using Multi-Level Context Information |
IEEE Access |
| 2023 |
Utility Analysis about Log Data Anomaly Detection Based on Federated Learning |
Applied Science |
| 2023 |
Robust Human Face Emotion Classification Using Triplet-Loss-Based Deep CNN Features |
Sensors |
| 2023 |
Prediction of Evoked Expression from Videos with Temporal Position Fusion |
Pattern Recognition Letters |
| 2022 |
Facial Expression Recognition Using a Temporal Ensemble of Multi-level CNNs |
IEEE Transactions on Affective Computing |
| 2022 |
The Efficacy of Shape Radiomics and Deep Features for Glioblastoma Survival Prediction |
Electronics |
| 2022 |
Empirical study for worker engagement in collaborative robot programming |
Journal of Integrated Design and Process Science |
| 2022 |
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations |
IEEE Access |
| 2021 |
Continuous Multimodal Biometric Authentication Schemes: A Systematic Review |
IEEE Access |
| 2021 |
Context-aware Emotion Recognition in the Wild using Spatio-temporal Models |
Sensors |
| 2021 |
Survival Time Prediction by Integrating Cox Proportional Hazards Network |
BMC Bioinformatics |
| 2021 |
Skin Lesion Segmentation by U-Net with Adaptive Skip Connection |
Applied Science |
| 2021 |
Deep Graph Fusion based Multimodal Evoked Expressions from Large-Scale Videos |
IEEE Access |
| 2021 |
Effects of Multiple Filters on Liver Tumor Segmentation from CT Images |
Frontiers in Oncology |