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101
Corrigendum: Toward attention-based learning to predict the risk of brain degeneration with multimodal medical data
Published 2023-03-01Subjects: Get full text
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102
Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning
Published 2023-07-01Subjects: Get full text
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103
Maize Yield Prediction at an Early Developmental Stage Using Multispectral Images and Genotype Data for Preliminary Hybrid Selection
Published 2021-10-01Subjects: Get full text
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104
VL-Few: Vision Language Alignment for Multimodal Few-Shot Meta Learning
Published 2024-01-01Subjects: Get full text
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105
Toward attention-based learning to predict the risk of brain degeneration with multimodal medical data
Published 2023-01-01Subjects: Get full text
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106
CAMM: Cross-Attention Multimodal Classification of Disaster-Related Tweets
Published 2022-01-01Subjects: Get full text
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107
A co-learning method to utilize optical images and photogrammetric point clouds for building extraction
Published 2023-02-01Subjects: Get full text
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108
Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications
Published 2023-01-01Subjects: Get full text
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109
Multi-Output Learning Based on Multimodal GCN and Co-Attention for Image Aesthetics and Emotion Analysis
Published 2021-06-01Subjects: Get full text
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110
Operating between Cultures and Langugages: Multilingual Films in Foreign Language Classes
Published 2020-06-01Subjects: Get full text
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111
Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model
Published 2024-01-01Subjects: Get full text
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112
Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis
Published 2023-12-01Subjects: Get full text
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113
Deep learning application for the classification of Alzheimer’s disease using 18F-flortaucipir (AV-1451) tau positron emission tomography
Published 2023-05-01“…The AUC for AD classification from CU was 0.964 and 0.947 in 2D CNN-LSTM and multimodal learning. The AUC of 3D CNN showed 0.947, and 0.976 in multimodal learning. …”
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114
Assessing learning preferences of dental students using visual, auditory, reading-writing, and kinesthetic questionnaire
Published 2015-01-01“…Results: Majority 75.8% of the students preferred multimodal learning style. Multimodal learning was common among clinical students. …”
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115
Which mode of learning do dental students prefer? A cross-sectional study in Chennai, Tamil Nadu
Published 2016-01-01“…Conclusion: As the majority of the dental students preferred multimodal learning style, a variety of teaching methods should be included in the curriculum according to the students′ preferences.…”
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116
Multimodal convolutional neural networks for sperm motility and concentration predictions
Published 2023“…The purpose of this research study is to adopt computer vision deep learning techniques and multimodal learning approach in sperm parameters prediction using video-based and image-based input. …”
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117
STUDENT LEARNING STYLE OF MATHEMATICS EDUCATION BASED ON GENDER
Published 2023-07-01“…Male students have a preference for multimodal learning style in bimodal (AR and AK) as 5 (41.66%) of 12 students. …”
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118
Learning Multimodal Representations by Symmetrically Transferring Local Structures
Published 2020-09-01“…Multimodal representations play an important role in multimodal learning tasks, including cross-modal retrieval and intra-modal clustering. …”
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119
The implementation of the cognitive theory of multimedia learning in the design and evaluation of an AI educational video assistant utilizing large language models
Published 2024-02-01“…The integration of Artificial Intelligence (AI) holds immense potential for revolutionizing education; especially, in contexts where multimodal learning experiences are designed. This paper investigated the potential benefits of Generative Artificial Intelligence (AI) in education, concentrating on the design and evaluation of an AI Educational Video Assistant tailored for multimodal learning experiences. …”
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120
Does learning style preferences influence academic performance among dental students in Isfahan, Iran?
Published 2018-03-01“…Approximately half of the students (51.5%) had multimodal learning preferences. Among the unimodal group (48.5%), the most common mode was aural (24.0%), followed by kinesthetic (15.5%), reading-writing (8.0%), and visual (1.0%). …”
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