A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Science"
DOI: 10.1002/advs.202412987
Abstract: Studying the molecular properties of drugs and their interactions with human targets aids in better understanding the clinical performance of drugs and guides drug development. In computer‐aided drug discovery, it is crucial to utilize effective… read more here.
Keywords: task self; molecular properties; multi task; self supervised ... See more keywords
Simultaneously predicting SPAD and water content in rice leaves using hyperspectral imaging with deep multi-task regression and transfer component analysis.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.13853
Abstract: BACKGROUND Water content and chlorophyll content are important indicators for monitoring rice growth status. Simultaneous detection of water content and chlorophyll content is of significance. Different varieties of rice show differences in phenotype, resulting in… read more here.
Keywords: task; rice; multi task; water content ... See more keywords
Multi‐Task ADME/PK prediction at industrial scale: leveraging large and diverse experimental datasets **
Sign Up to like & getrecommendations! Published in 2024 at "Molecular Informatics"
DOI: 10.1002/minf.202400079
Abstract: ADME (Absorption, Distribution, Metabolism, Excretion) properties are key parameters to judge whether a drug candidate exhibits a desired pharmacokinetic (PK) profile. In this study, we tested multi‐task machine learning (ML) models to predict ADME and… read more here.
Keywords: task; adme prediction; multi task; experimental data ... See more keywords
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