Results 81 to 90 of about 6,478,030 (244)

Research of The Deeper Neural Networks

MATEC Web of Conferences, 2016
Neural networks (NNs) have powerful computational abilities and could be used in a variety of applications; however, training these networks is still a difficult problem. With different network structures, many neural models have been constructed.
Xiao You Rong, Wu Qing Xiu, Li Shu Qing, Ou Jun   +3 more
doaj   +1 more source

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch, Hannah Schwartz, Kimberly H. Markowitz, Abhishek Jaywant, Christopher D. Hildenbrand, Jai Perumal, Ulrike W. Kaunzner, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]

, 2008
Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization.
Sendhoff, Bernhard, Yaochu Jin, Bernhard Sendhoff, Jin, Yaochu, Kowalczykiewicz, Michal, Yi Cao, Cao, Yi, Michal Kowalczykiewicz, Sendhoff, B, Kowalczykiewicz, M, Cao, Y, Jin, Y, Jin, Yaochu ; https://orcid.org/   +12 more
core   +1 more source

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

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, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Application of neural networks to the analysis of consumer opinions

Journal of Computer Sciences Institute, 2019
This paper presents an analysis of the possibilities of using neural networks to classify text data in the form of comments. Moreover, results of research of two neural network optimization methods: Adam and Gradient are presented. The aim of the work is
Roman Mysan, Ivan Loichuk, Małgorzata Plechawska-Wójcik   +2 more
doaj   +1 more source

Achieving Fairness with Decision Trees: An Adversarial Approach

Data Science and Engineering, 2020
Fair classification has become an important topic in machine learning research. While most bias mitigation strategies focus on neural networks, we noticed a lack of work on fair classifiers based on decision trees even though they have proven very ...
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki   +3 more
doaj   +1 more source

Gradient Boosted Decision Tree Neural Network

CoRR, 2019
In this paper we propose a method to build a neural network that is similar to an ensemble of decision trees. We first illustrate how to convert a learned ensemble of decision trees to a single neural network with one hidden layer and an input transformation.
Mohammad Saberian, Pablo Delgado, Yves Raimond   +2 more
openaire   +2 more sources

Determinants of Body Mass Index in Early Systemic Sclerosis: Implications for Nutritional Risk Stratification

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, Meng Zhang, Bingrui Chen, Claudia Pedroza, Brian Skaug, Maureen Mayes, Michael Hughes, Shervin Assassi, Zsuzsanna H. McMahan   +8 more
wiley   +1 more source

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

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, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source