Results 81 to 90 of about 6,198,210 (289)

Job-shop scheduling with an adaptive neural network and local search hybrid approach [PDF]

open access: yes, 2006
This article is posted here with permission from IEEE - Copyright @ 2006 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S   +3 more
core   +1 more source

Data Aware Neural Architecture Search

open access: yesCoRR, 2023
Accepted as a full paper by the TinyML Research Symposium ...
Emil J. Njor   +2 more
openaire   +3 more sources

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai   +13 more
wiley   +1 more source

Inner Loop-Based Modified Differentiable Architecture Search

open access: yesIEEE Access
Differentiable neural architecture search, which significantly reduces the computational cost of architecture search by several orders of magnitude, has become a popular research issue in recent years.
Cong Jin, Jinjie Huang
doaj   +1 more source

Neural Architecture Search in Graph Neural Networks [PDF]

open access: yes, 2020
Performing analytical tasks over graph data has become increasingly interesting due to the ubiquity and large availability of relational information. However, unlike images or sentences, there is no notion of sequence in networks. Nodes (and edges) follow no absolute order, and it is hard for traditional machine learning (ML) algorithms to recognize a ...
Matheus Nunes, Gisele L. Pappa
openaire   +3 more sources

Serostatus‐Specific Prognostic Profiles and Phenotype‐Dependent Therapeutic Windows in Autoimmune Encephalitis: A Multicenter Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang   +17 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis 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

SNAS: Stochastic Neural Architecture Search

open access: yesCoRR, 2018
ICLR ...
Sirui Xie   +3 more
openaire   +4 more sources

Carbon-Efficient Neural Architecture Search

open access: yesProceedings of the 2nd Workshop on Sustainable Computer Systems, 2023
This work presents a novel approach to neural architecture search (NAS) that aims to reduce energy costs and increase carbon efficiency during the model design process. The proposed framework, called carbon-efficient NAS (CE-NAS), consists of NAS evaluation algorithms with different energy requirements, a multi-objective optimizer, and a heuristic GPU ...
Yiyang Zhao, Tian Guo 0001
openaire   +2 more sources

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis 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

Home - About - Disclaimer - Privacy