Results 151 to 160 of about 5,846,406 (312)
Artificial neural network and the prospect of AGI: an argument from architecture
Discover Artificial IntelligenceIntelligent systems realized by artificial deep neural networks are entirely composed of Fodorian modules. Human mind exemplifies either the massive modularity or does not exhibit modular structures. In either case, human mind is not entirely composed of
Chang Liu, Bin Ye
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks
The vulnerability of deep neural networks to adversarial attacks has posed significant threats to real-world applications, especially security-critical ones.
Larus, James +4 more
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Petrographic analysis with deep convolutional neural networks [PDF]
, 2019 Petrographic analysis is based on the microscopic description and classification of rocks and is a crucial technique for sedimentary and diagenetic studies.
Pires de Lima, Rafael
core
Enhanced image classification with a fast-learning shallow convolutional neural network
, 2015 We present a neural network architecture and training method designed to enable very rapid training and low implementation complexity. Due to its training speed and the absence of iteratively-tuned parameters, the method has strong potential for ...
Vladusich, T. +3 more
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Arthritis Care &Research, EarlyView.Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla +8 more
wiley +1 more source
Business failure prediction using neural networks and wavelet neural networks
, 2013 Bankruptcy prediction models concerns for decades both academics and practitioners. Moreover, in recent years, during the financial crisis period the development of accurate business failure prediction models is particularly compelling. In this paper, we
Tsinaslanidis, P. +3 more
core
Dissection of Deep Neural Networks.
, 2021 We investigate the role of neurons within the internal computations of deep neural networks for computer vision. We introduce network dissection, a method for quantifying the alignment between human-interpretable visual concepts and individual neurons in a deep network.
openaire +1 more source
Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source