Results 11 to 20 of about 2,806,410 (297)
A Socratic epistemology for verbal emotional intelligence [PDF]
PeerJ Computer Science, 2016 We describe and experimentally validate a question-asking framework for machine-learned linguistic knowledge about human emotions. Using the Socratic method as a theoretical inspiration, we develop an experimental method and computational model for ...
Abe Kazemzadeh +4 more
doaj +2 more sources
Effects of Missing Data on Heart Rate Variability Metrics
Sensors, 2022 Heart rate variability (HRV) has been studied for decades in clinical environments. Currently, the exponential growth of wearable devices in health monitoring is leading to new challenges that need to be solved.
Diego Cajal +5 more
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A machine learning-based service for estimating quality of genomes using PATRIC
BMC Bioinformatics, 2019 Background Recent advances in high-volume sequencing technology and mining of genomes from metagenomic samples call for rapid and reliable genome quality evaluation.
Bruce Parrello +7 more
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Human Mobility Monitoring in Very Low Resolution Visual Sensor Network
Sensors, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Nyan Bo Bo +13 more
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All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures.
Haijin Zeng +4 more
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Joint TDOA, FDOA and PDOA Localization Approaches and Performance Analysis
Remote Sensing, 2023 Multi-station joint localization has important practical significance. In this paper, phase difference of arrival (PDOA) information is introduced into the joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) localization ...
Jinzhou Li +7 more
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Re-interpreting rules interpretability
International Journal of Data Science and Analytics, 2022 Abstract Trustworthy machine learning requires a high level of interpretability of machine learning models, yet many models are inherently black-boxes. Training interpretable models instead—or using them to mimic the black-box model—seems like a viable solution. In practice, however, these interpretable models are still unintelligible
Adilova, L. +3 more
openaire +2 more sources
Design of the International Open University of Religious Sciences in order to promote the best readers and missionaries of all ages [PDF]
International Multidisciplinary Journal of Pure Life, 2018 Along with the developments that have taken place in the contemporary world in the field of virtual learning, the teaching methods of teaching religious sciences have also changed; Therefore, Islamic nations are trying to exchange information on ...
Narges Khahan Yazdi (Iran)
doaj +1 more source
Frontiers in Digital Health, 2023 IntroductionIntelligent ambulatory tracking can assist in the automatic detection of psychological and emotional states relevant to the mental health changes of professionals with high-stakes job responsibilities, such as healthcare workers.
Projna Paromita +5 more
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Frontiers in Earth Science, 2022 Recently, unsupervised domain adaptation (UDA) has attracted increasing attention to address the domain shift problem in the semantic segmentation task.
Junfeng Wu +7 more
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