Active multi-task learning with uncertainty weighted loss for coronary calcium scoring.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15870
Abstract: PURPOSE The coronary artery calcium (CAC) score is an independent marker for the risk of cardiovascular events. Automatic methods for quantifying CAC could reduce workload and assist radiologists in clinical decision making. However, large annotated… read more here.
Keywords: calcium scoring; multi task; model; performance ... See more keywords
Two-stream person re-identification with multi-task deep neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0915-1
Abstract: Person re-identification (re-id) with images is very useful in video surveillance to find specific targets. However, it is challenging due to the complex variations of human poses, camera viewpoints, lighting, occlusion, resolution, background clutter and… read more here.
Keywords: multi task; deep neural; task; person identification ... See more keywords
Multi-task prioritization during the performance of a postural–manual and communication task
Sign Up to like & getrecommendations! Published in 2019 at "Experimental Brain Research"
DOI: 10.1007/s00221-019-05473-7
Abstract: Individuals are often required to complete two tasks simultaneously, such as walking while talking. Although the influence of performing a cognitive task during upright standing has been studied, less is known regarding how individuals prioritize… read more here.
Keywords: multi task; task; communication; manual task ... See more keywords
Determining the invasiveness of ground-glass nodules using a 3D multi-task network
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-07794-0
Abstract: The aim of this study was to determine the invasiveness of ground-glass nodules (GGNs) using a 3D multi-task deep learning network. We propose a novel architecture based on 3D multi-task learning to determine the invasiveness… read more here.
Keywords: multi task; classification; network; task ... See more keywords
A multi-task dual attention deep recommendation model using ratings and review helpfulness
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02666-y
Abstract: The existing review-based recommendation methods usually employ the same model to learn the review representation of users and items. However, for different user-item pairs, the same words or similar reviews may deliver different information, and… read more here.
Keywords: multi task; recommendation; helpfulness; model ... See more keywords
Multi-task clustering ELM for VIS-NIR cross-modal feature learning
Sign Up to like & getrecommendations! Published in 2017 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-016-0401-8
Abstract: Extreme learning machine (ELM) as a new emergent and efficient machine learning algorithm has shown its good performance in many real regression applications as well as large data classification. In this paper, we propose a… read more here.
Keywords: multi task; cross; feature learning; cross modal ... See more keywords
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9718-z
Abstract: The brain can be viewed as a complex modular structure with features of information processing through knowledge storage and retrieval. Modularity ensures that the knowledge is stored in a manner where any complications in certain… read more here.
Keywords: multi task; neural networks; knowledge; knowledge representation ... See more keywords
Evaluating robotic-assisted surgery training videos with multi-task convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Robotic Surgery"
DOI: 10.1007/s11701-021-01316-2
Abstract: We seek to understand if an automated algorithm can replace human scoring of surgical trainees performing the urethrovesical anastomosis in radical prostatectomy with synthetic tissue. Specifically, we investigate neural networks for predicting the surgical proficiency… read more here.
Keywords: multi task; surgery; neural networks; evaluating robotic ... See more keywords
Multi-task feature learning-based improved supervised descent method for facial landmark detection
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1125-4
Abstract: Facial landmark detection has played an important role in many face understanding tasks, such as face verification, facial expression recognition, age estimation et al. Model initialization and feature extraction are crucial in supervised landmark detection.… read more here.
Keywords: multi task; detection; landmark detection; feature ... See more keywords
Trace-Norm Regularized Multi-Task Learning for Sea State Bias Estimation
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Ocean University of China"
DOI: 10.1007/s11802-020-4267-x
Abstract: Sea state bias (SSB) is an important component of errors for the radar altimeter measurements of sea surface height (SSH). However, existing SSB estimation methods are almost all based on single-task learning (STL), where one… read more here.
Keywords: multi task; estimation; task; task learning ... See more keywords
System-in-package design using multi-task memetic learning and optimization
Sign Up to like & getrecommendations! Published in 2021 at "Memetic Computing"
DOI: 10.1007/s12293-021-00346-5
Abstract: System-in-Package (SiP) is an advanced packaging technology and developing rapidly in semiconductor industry. Electronic modules of this package type are individual integrated systems for specific applications. Therefore, those modules are usually characterized by multiple encapsulated… read more here.
Keywords: multi task; optimization; package design; design ... See more keywords