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Showing 67961 to 67970 of 95995 articles
Evolving Spiking Neural Networks for online learning over drifting data streams.
Neural networks : the official journal of the International Neural Network Society
Aug 2, 2018
Nowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena. The resulting lack of stationarity in the distribution of the produced data calls for efficient and scalable algorithms fo...
A Survey of Cognitive Architectures in the Past 20 Years.
IEEE transactions on cybernetics
Aug 2, 2018
Building autonomous systems that achieve human level intelligence is one of the primary objectives in artificial intelligence (AI). It requires the study of a wide range of functions robustly across different phases of human cognition. This paper pre...
Self-Efficacy, Poststroke Depression, and Rehabilitation Outcomes: Is There a Correlation?
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 2, 2018
BACKGROUND: The sudden live changes of stroke survivors may lead to negative psychological and behavioral outcomes, including anxiety and depressive mood, which may compromise the rehabilitation process. Some personality features, such as self-effica...
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Stroke Rehabilitation
Humans
Machine Learning
Decision Support Techniques
Biomarkers
Female
Male
Time Factors
Health Status
Inpatients
Disability Evaluation
Cognition
Recovery of Function
Stroke
Treatment Outcome
Predictive Value of Tests
Longitudinal Studies
Hematocrit
Inflammation Mediators
Linear Models
Motor Skills
Leukocyte Count
Motor Activity
Evolution of a Novel Robotic Training Curriculum in a Complex General Surgical Oncology Fellowship.
Annals of surgical oncology
Aug 2, 2018
BACKGROUND: Robotic surgery is increasingly being used for complex oncologic operations, although currently there is no standardized curriculum in place for surgical oncologists. We describe the evolution of a proficiency-based robotic training progr...
Machine learning in neurology: what neurologists can learn from machines and vice versa.
Journal of neurology
Aug 2, 2018
Artificial intelligence is increasingly becoming a part of everyday life. This raises the question whether clinical neurology can benefit from these novel methods to increase diagnostic accuracy. Several recent studies have used machine learning clas...
Robotic selection for the rapid development of stable CHO cell lines for HIV vaccine production.
PloS one
Aug 2, 2018
The production of envelope glycoproteins (Envs) for use as HIV vaccines is challenging. The yield of Envs expressed in stable Chinese Hamster Ovary (CHO) cell lines is typically 10-100 fold lower than other glycoproteins of pharmaceutical interest. M...
Cross-Generation Kinship Verification with Sparse Discriminative Metric.
IEEE transactions on pattern analysis and machine intelligence
Aug 1, 2018
Kinship verification is a very important technique in many real-world applications, e.g., personal album organization, missing person investigation and forensic analysis. However, it is extremely difficult to verify a family pair with generation gap,...
Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Academic radiology
Aug 1, 2018
RATIONALE AND OBJECTIVES: With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT images to that of conventional full-field digital mammog...
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability.
Skeletal radiology
Aug 1, 2018
OBJECTIVE: Radiographic bone age assessment (BAA) is used in the evaluation of pediatric endocrine and metabolic disorders. We previously developed an automated artificial intelligence (AI) deep learning algorithm to perform BAA using convolutional n...
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