Results 21 to 30 of about 422,144 (319)
Survey of Graph Neural Network [PDF]
Jisuanji gongcheng, 2021 With the continuous development of the computer and Internet technologies,graph neural network has become an important research area in artificial intelligence and big data.Graph neural network can effectively transmit and aggregate information between ...
WANG Jianzong, KONG Lingwei, HUANG Zhangcheng, XIAO Jing
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Frontiers in Computational Neuroscience, 2022 IntroductionIn recent years, machines powered by deep learning have achieved near-human levels of performance in speech recognition. The fields of artificial intelligence and cognitive neuroscience have finally reached a similar level of performance ...
Cai Wingfield +9 more
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Decorrelation-Based Deep Learning for Bias Mitigation
Future Internet, 2022 Although deep learning has proven to be tremendously successful, the main issue is the dependency of its performance on the quality and quantity of training datasets. Since the quality of data can be affected by biases, a novel deep learning method based
Pranita Patil, Kevin Purcell
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An Introductory Review of Deep Learning for Prediction Models With Big Data
Frontiers in Artificial Intelligence, 2020 Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in
Frank Emmert-Streib +9 more
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Tomography, 2023 Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screening regimens and clinical breast cancer risk assessment models use risk factors such as demographics and patient history to guide policy and assess risk ...
Maham Siddique +4 more
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Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks [PDF]
, 2018 https://doi.org/10.1007/978-3-319-77712-2_62The detection of red blood cells in blood samples can be crucial for the disease detection in its early stages.
Luque-Baena, Rafael Marcos +4 more
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Geocarto International, 2021 Floods are considered one of the most destructive natural hydro-meteorological disasters across the world.
Naser Ahmed +5 more
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Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
Frontiers in Neuroscience, 2020 A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities between learning dynamics employed in deep artificial
Jacques Kaiser +3 more
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Deep neural networks for understanding and diagnosing partial discharge data [PDF]
, 2015 Artificial neural networks have been investigated for many years as a technique for automated diagnosis of defects causing partial discharge (PD). While good levels of accuracy have been reported, disadvantages include the difficulty of explaining ...
Catterson, V. M., Sheng, B.
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Artificial Intelligence in Surgery: Neural Networks and Deep Learning
, 2020 Deep neural networks power most recent successes of artificial intelligence, spanning from self-driving cars to computer aided diagnosis in radiology and pathology. The high-stake data intensive process of surgery could highly benefit from such computational methods.
Alapatt, Deepak +3 more
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