Results 1 to 10 of about 609,194 (144)
Graph Reasoning Module for Alzheimer’s Disease Diagnosis: A Plug-and-Play Method
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Recent advances in deep learning have led to increased adoption of convolutional neural networks (CNN) for structural magnetic resonance imaging (sMRI)-based Alzheimer’s disease (AD) detection.
Chen-Chen Fan +7 more
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Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation
IEEE Access, 2021 Knowledge of the outfits that a person wears daily and how frequently the person wears them will help the person select clothing every morning. However, it is very-time consuming to manually record what the person wears every day.
Yasutomo Kawanishi +3 more
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Frontiers in Psychology, 2022 Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework
Johannes von Hoyer +14 more
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European Psychiatry, 2021 Introduction Machine learning has increasingly been applied to classification of psychosis spectrum in neuroimaging research. However, a number of multimodal studies using MRI and electroencephalography (EEG) is quite limited.
A. Tomyshev +4 more
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Hyperspectral and LiDAR Representation With Spectral–Spatial Graph Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Land cover analysis has received significant attention in remote sensing-related fields. To take advantage of multimodal data, hyperspectral images (HSI) and light detection and ranging (LiDAR) are often combined.
Xingqian Du +3 more
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An End-To-End Emotion Recognition Framework Based on Temporal Aggregation of Multimodal Information
IEEE Access, 2021 Humans express and perceive emotions in a multimodal manner. The multimodal information is intrinsically fused by the human sensory system in a complex manner.
Anamaria Radoi +3 more
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Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models
Engineering Proceedings, 2022 The latest satellite infrastructure for data processing, transmission and reception can certainly be improved by upgrading tools used to deal with very large amounts of data from every different sensor incorporated within the space missions.
Ana C. Castillo +5 more
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Multimodal Early Birth Weight Prediction Using Multiple Kernel Learning
Sensors, 2023 In this work, a novel multimodal learning approach for early prediction of birth weight is presented. Fetal weight is one of the most relevant indicators in the assessment of fetal health status.
Lisbeth Camargo-Marín +3 more
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A haptic-enabled multimodal interface for the planning of hip arthroplasty [PDF]
, 2006 Multimodal environments help fuse a diverse range of sensory modalities, which is particularly important when integrating the complex data involved in surgical preoperative planning.
Caldwell, DG +6 more
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A multimodal neuroimaging classifier for alcohol dependence [PDF]
, 2020 With progress in magnetic resonance imaging technology and a broader dissemination of state-of-the-art imaging facilities, the acquisition of multiple neuroimaging modalities is becoming increasingly feasible.
Garbusow, Maria +13 more
core +1 more source