- Impact of Annotation Modality on Label Quality and Model Performance in the Automatic Assessment of Laughter In-the-Wild
- Less Machine (=) More Vision: Approaches towards Practical and Efficient Machine Vision with Applications in Face Analysis
- Microseismic event detection and localization: A migration-based and machine-learning approach using full waveforms
- Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their means
- Generation of design allowables on the open hole tensile strength of composite laminates using sensitivity analysis and uncertainty quantification framework
- A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
- Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study
- On the use of transfer modeling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets
- Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure
- Data-driven optimization of building-integrated ducted openings for wind energy harvesting: Sensitivity analysis of metamodels