Results 21 to 30 of about 186,322 (298)

Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts

open access: yesEntropy, 2021
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the areas of pattern recognition and image processing due to its application in several fields, such as office automation and document processing.
Rami Ahmed   +7 more
doaj   +1 more source

Concrete Dropout

open access: yes, 2017
Dropout is used as a practical tool to obtain uncertainty estimates in large vision models and reinforcement learning (RL) tasks. But to obtain well-calibrated uncertainty estimates, a grid-search over the dropout probabilities is necessary - a prohibitive operation with large models, and an impossible one with RL.
Gal, Y, Hron, J, Kendall, A
openaire   +3 more sources

Variational Nested Dropout

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
20 pages, 17 ...
Yufei Cui   +7 more
openaire   +4 more sources

Student Dropout Prediction [PDF]

open access: yes, 2020
Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F.   +3 more
openaire   +3 more sources

DRN-LSTM: A Deep Residual Network Based On Long Short-term Memory Network For Students Behaviour Recognition In Education

open access: yesJournal of Applied Science and Engineering, 2022
In classroom teaching, artificial intelligence technology can help automate student behavior analysis and enable teachers to master learning efficiently and intuitively provide data support for subsequent optimization of teaching design and ...
Zhaozhen Xuan
doaj   +1 more source

Two, Six, and Twelve-Month Dropout Rate and Predictor Factors After a Multidisciplinary Residential Program for Obesity Treatment. A Prospective Cohort Study

open access: yesFrontiers in Nutrition, 2022
IntroductionThe aim of the present study was to assess the dropout rate at 2, 6, and 12 months after an inpatient multidisciplinary residential program (MRP) for the treatment of obesity.
Simone Perna   +13 more
doaj   +1 more source

Dropout intention: a valid predictor of actual dropout?

open access: yesEmpirical Research in Vocational Education and Training
Evidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout ...
Stefanie Findeisen   +4 more
doaj   +1 more source

Longitudinal mixed-methods analysis of tertiary students’ dropout considerations

open access: yesFrontiers in Education
The paper presents a longitudinal mixed methods study investigating tertiary humanity students’ dropout considerations, utilizing Tinto’s institutional departure model as theoretical background.
Eva Lykkegaard, Ane Qvortrup
doaj   +1 more source

How to Facilitate Adherence to Cardiac Rehabilitation in Primary Health Settings for Ischaemic Heart Disease Patients. The Perspectives of Health Professionals

open access: yesFrontiers in Rehabilitation Sciences, 2022
BackgroundCardiac rehabilitation (CR) is a class 1A recommendation and an integrated part of standard treatment for patients with cardiac disease. In Denmark, CR adheres to European guidelines, it is group-based and partly conducted in primary health ...
Maiken Bay Ravn   +6 more
doaj   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner   +14 more
wiley   +1 more source

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