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   Articles with "multitask learning" as a keyword



Decentralized federated meta‐learning framework for few‐shot multitask learning

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22951

Abstract: Federated learning is increasingly attractive, however as the number of training samples on a single device is too small and the training tasks of the devices are different, it faces the few‐shot multitask learning problem.… read more here.

Keywords: multitask; shot multitask; decentralized federated; multitask learning ... See more keywords

Bayesian multitask learning regression for heterogeneous patient cohorts

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recommendations! Published in 2019 at "Journal of biomedical informatics"

DOI: 10.1016/j.yjbinx.2019.100059

Abstract: Multitask learning (MTL) leverages commonalities across related tasks with the aim of improving individual task performance. A key modeling choice in designing MTL models is the structure of the tasks' relatedness, which may not be… read more here.

Keywords: learning regression; multitask learning; task; bayesian multitask ... See more keywords

Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning

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recommendations! Published in 2022 at "Industrial & Engineering Chemistry Research"

DOI: 10.1021/acs.iecr.2c00971

Abstract: The process of sorption enhanced steam methane reforming (SE-SMR) is an emerging technology for the production of low carbon hydrogen. The development of a suitable catalytic material, as well as a CO2 adsorbent with high… read more here.

Keywords: sorbent catalyst; qspr; multitask learning; combined sorbent ... See more keywords
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iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding.

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recommendations! Published in 2021 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.1c00628

Abstract: The human cytochrome P450 (CYP) superfamily holds responsibilities for the metabolism of both endogenous and exogenous compounds such as drugs, cellular metabolites, and toxins. The inhibition exerted on the CYP enzymes is closely associated with… read more here.

Keywords: human cytochrome; multitask learning; icyp mfe; using multitask ... See more keywords

DeepCheck: multitask learning aids in assessing microbial genome quality

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recommendations! Published in 2024 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbae539

Abstract: Abstract Metagenomic analyses facilitate the exploration of the microbial world, advancing our understanding of microbial roles in ecological and biological processes. A pivotal aspect of metagenomic analysis involves assessing the quality of metagenome-assembled genomes (MAGs),… read more here.

Keywords: quality; aids assessing; deepcheck; multitask learning ... See more keywords

The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs

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recommendations! Published in 2024 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbae627

Abstract: Abstract Noncoding RNA refers to RNA that does not encode proteins. The lncRNA and miRNA it contains play crucial regulatory roles in organisms, and their aberrant expression is closely related to various diseases. Traditional experimental… read more here.

Keywords: multitask learning; improved bruijn; subcellular localization; bruijn graph ... See more keywords

A Multitask Learning Framework for Multi-Property Detection of Wine

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2937599

Abstract: The electronic nose (E-nose) is a bionic olfactory system and a powerful tool in many fields. Sample classification and parameter prediction are the core functions of the E-nose. We present two algorithms for simultaneous recognition… read more here.

Keywords: learning framework; multi property; property detection; multitask learning ... See more keywords

Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3189481

Abstract: This paper evaluates speech emotion and naturalness recognitions by utilizing deep learning models with multitask learning and single-task learning approaches. The emotion model accommodates valence, arousal, and dominance attributes known as dimensional emotion. The naturalness… read more here.

Keywords: dimensional emotion; multitask learning; emotion; task ... See more keywords

Mood Prediction Based on Calendar Events Using Multitask Learning

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3193778

Abstract: Predicting future moods with machine learning can help plan appropriate strategies for mental health; this can be facilitated by collecting future event information from calendar applications. However, a model for mood prediction from calendar event… read more here.

Keywords: mood prediction; calendar; multitask learning; prediction ... See more keywords

AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3125989

Abstract: In the Industrial Internet of Things (IIoT), model and computing power sharing among devices can improve resource utilization and work efficiency. However, data privacy and security issues hinder the sharing process. Besides, in the process… read more here.

Keywords: multitask learning; model; model sharing; adaptively federated ... See more keywords

Communication-Efficient Federated Multitask Learning Over Wireless Networks

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recommendations! Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3201310

Abstract: This article investigates the scheduling framework of the federated multitask learning (FMTL) problem with a hard-cooperation structure over wireless networks, in which the scheduling becomes more challenging due to the different convergence behaviors of different… read more here.

Keywords: wireless networks; communication efficient; communication; multitask learning ... See more keywords