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Impact of Annotation Modality on Label Quality and Model Performance in the Automatic Assessment of Laughter In-the-Wild
Impact of Annotation Modality on Label Quality and Model Performance in the Automatic Assessment of Laughter In-the-Wild
Interaction-Aware Motion Planning in Crowded Dynamic Environments
Interaction-Aware Motion Planning in Crowded Dynamic Environments
Less Machine (=) More Vision
Less Machine (=) More Vision: Approaches towards Practical and Efficient Machine Vision with Applications in Face Analysis
Nonlinear dynamic atomic force microscopy
Nonlinear dynamic atomic force microscopy
Microseismic event detection and localization
Microseismic event detection and localization: A migration-based and machine-learning approach using full waveforms
A data-driven and machine-learning study on microstructure-property relations in steel
A data-driven and machine-learning study on microstructure-property relations in steel
Towards Self-Sufficient High-Rises
Towards Self-Sufficient High-Rises: Performance Optimisation using Artificial Intelligence
Development and validation of an early warning model for hospitalized COVID-19 patients
Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study
Probabilistic vegetation transitions in dunes by combining spectral and lidar data
Probabilistic vegetation transitions in dunes by combining spectral and lidar data
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
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 Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure
Three Symmetries for Data-Driven Pedestrian Inertial Navigation
Three Symmetries for Data-Driven Pedestrian Inertial Navigation
Data-driven optimization of building-integrated ducted openings for wind energy harvesting
Data-driven optimization of building-integrated ducted openings for wind energy harvesting: Sensitivity analysis of metamodels
SGS Reaction rate modelling for MILD combustion based on machine-learning combustion mode classification
SGS Reaction rate modelling for MILD combustion based on machine-learning combustion mode classification: Development and a priori study
Towards constraining soil and vegetation dynamics in land surface models
Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network
Interpretable neural network with limited weights for constructing simple and explainable HI using SHM data
Interpretable neural network with limited weights for constructing simple and explainable HI using SHM data
Contestable AI by Design
Contestable AI by Design: Towards a Framework
Investigation of the efficacy of the UV/Chlorine process for the removal of trimethoprim
Investigation of the efficacy of the UV/Chlorine process for the removal of trimethoprim: Effects of operational parameters and artificial neural networks modelling
Multiple Faults Estimation in Dynamical Systems
Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds
Machine learning to probe modal interaction in dynamic atomic force microscopy
Machine learning to probe modal interaction in dynamic atomic force microscopy
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