Results 31 to 40 of about 9,899,096 (370)
Deep Learning in Cardiology [PDF]
IEEE Reviews in Biomedical Engineering, 2019 The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as
Paschalis Bizopoulos +1 more
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IEEE Transactions on Neural Networks and Learning Systems, 2018 In this paper, we propose a novel approach for efficient training of deep neural networks in a bottom-up fashion using a layered structure. Our algorithm, which we refer to as deep cascade learning, is motivated by the cascade correlation approach of Fahlman and Lebiere, who introduced it in the context of perceptrons.
Enrique S. Marquez +2 more
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Approximations in Deep Learning
, 2022 Approximate Computing Techniques - From Component- to Application-Level, pp.467-512, 2022, 978-3-030-94704 ...
Dupuis, Etienne +5 more
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Deep Learning in Proteomics [PDF]
PROTEOMICS, 2020 AbstractProteomics, the study of all the proteins in biological systems, is becoming a data‐rich science. Protein sequences and structures are comprehensively catalogued in online databases. With recent advancements in tandem mass spectrometry (MS) technology, protein expression and post‐translational modifications (PTMs) can be studied in a variety of
Bo Wen +6 more
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A survey on Image Data Augmentation for Deep Learning
Journal of Big Data, 2019 Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very
Connor Shorten, T. Khoshgoftaar
semanticscholar +1 more source
, 2016 The goal of these course notes is to describe the main mathematical ideas behind geometric deep learning and to provide implementation details for several applications in shape analysis and synthesis, computer vision and computer graphics.
Andreux M. +31 more
core +1 more source
Applied Sciences, 2021 To properly restore masonry cultural heritage sites, the materials used for retrofitting can have a critical effect, and this requires standards for traditional Korean brick and lime mortar to be examined.
Gayoon Lee +4 more
doaj +1 more source
Deep Learning in Medicine [PDF]
International Journal of Trend in Scientific Research and Development, 2019 Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular variant of poker, learned the laws of physics from experimental data, and become experts in video games - tasks ...
Tarun Jaiswal, Sushma Jaiswal
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Deep learning in systems medicine [PDF]
Briefings in Bioinformatics, 2020 AbstractSystems medicine (SM) has emerged as a powerful tool for studying the human body at the systems level with the aim of improving our understanding, prevention and treatment of complex diseases. Being able to automatically extract relevant features needed for a given task from high-dimensional, heterogeneous data, deep learning (DL) holds great ...
Wang +27 more
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Journal of the American Medical Association (JAMA), 2016 Importance Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly.
Varun Gulshan +14 more
semanticscholar +1 more source