Results 1 to 10 of about 195,059 (253)
Multitask optimization and convergence stability with hierarchical feature learning for self guided optimization [PDF]
Scientific ReportsThe optimization process of multimodal multitask architectures faces three major problems which include unstable optimization and unresolved cross-task interference and insufficient alignment between different feature views.
Khalid Mahmood +5 more
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Cheatomaly: weakly supervised video anomaly ranking for exam cheating detection using vision transformers [PDF]
Frontiers in Big DataDetecting cheating in classroom examinations is challenging because suspicious behaviors are often subtle, temporally sparse, and context-dependent. To address the lack of dedicated benchmarks for this setting, we introduce Cheatomaly, a curated video ...
El Mehdi Alaoui Mrani +2 more
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Adaptive Cut Selection in Mixed-Integer Linear Programming
Open Journal of Mathematical Optimization, 2023 Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver performance.
Turner, Mark +3 more
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IEEE Access, 2023 Fully-supervised object detection and instance segmentation models have accomplished notable results on large-scale computer vision benchmark datasets. However, fully-supervised machine learning algorithms’ performances are immensely dependent on ...
Cathaoir Agnew +5 more
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An improved multi-object instance segmentation based on deep learning
Kuwait Journal of Science, 2022 Given the recent breakthroughs in recent years, Deep learning (DL) networks have attracted growing interest and attention by researchers and scholars alike due to its importance in detecting and instance segmentation of objects in an image.
Nawaf Alshdaifat +2 more
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Frontiers in Computational Neuroscience, 2023 The brain uses temporal information to link discrete events into memory structures supporting recognition, prediction, and a wide variety of complex behaviors.
Jackson Rozells, Jeffrey P. Gavornik
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Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits.
PLoS Computational Biology, 2022 Adaptive sequential behavior is a hallmark of human cognition. In particular, humans can learn to produce precise spatiotemporal sequences given a certain context.
Cristian Buc Calderon +2 more
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A Dynamic Mixture Noise Identification Method for Learning with Instance-dependent Label Noise [PDF]
Zhengzhou Daxue xuebao. Gongxue banIn learning with instance-dependent label noise (IDN), semi-supervised methods could mitigate noise interference and leverage feature information, but their effectiveness depended on accurate noise identification and was susceptible to the choice of ...
JIANG Gaoxia, ZHANG Yao, WANG Wenjian
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Journal of Interactive Media in Education, 2021 Student teachers’ perspectives on how their teacher educators act as exemplars of using technology appropriately (or fail to do so) could create a basis for teacher educators’ technology professional development (TPD).
Foster Gondwe
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AI-Driven Recommendations: A Systematic Review of the State of the Art in E-Commerce
Applied Sciences, 2023 Electronic commerce has a strong connection with recommendation processes. There are various forms of recommendations, ranging from virtual assistants to online suggestions made in real time.
Sabina-Cristiana Necula +1 more
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