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Advanced Search Results For "learning"

1 - 10 of 1,320,152 results for
 "learning"
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Morris water maze: a versatile and pertinent tool for assessing spatial learning and memory.

Publication Type:Academic Journal

Source(s):Experimental animals [Exp Anim] 2022 Aug 05; Vol. 71 (3), pp. 264-280. Date of Electronic Publication: 2022 Mar 18.

Abstract:Since its development about 40 years ago (1981-2021), Morris water maze has turned into a very popular tool for assessing spatial learning and memory. Its many advantages have ensured its pertinence to date. These include its effectiveness in evaluatin...

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Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.

Publication Type:Academic Journal

Source(s):Molecular therapy : the journal of the American Society of Gene Therapy [Mol Ther] 2022 Aug 03; Vol. 30 (8), pp. 2856-2867. Date of Electronic Publication: 2022 May 06.

Abstract:As one of the most prevalent post-transcriptional epigenetic modifications, N5-methylcytosine (m5C) plays an essential role in various cellular processes and disease pathogenesis. Therefore, it is important accurately identify m5C modifications in orde...

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Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images.

Publication Type:Academic Journal

Source(s):Medical image analysis [Med Image Anal] 2022 Aug; Vol. 80, pp. 102515. Date of Electronic Publication: 2022 Jun 17.

Abstract:Since segmentation labeling is usually time-consuming and annotating medical images requires professional expertise, it is laborious to obtain a large-scale, high-quality annotated segmentation dataset. We propose a novel weakly- and semi-supervised fr...

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Success-biased social learning in a one-consumer, two-resource model.

Publication Type:Academic Journal

Source(s):Theoretical population biology [Theor Popul Biol] 2022 Aug; Vol. 146, pp. 29-35. Date of Electronic Publication: 2022 Jun 13.

Abstract:Previous analyses have predicted that social learning should not evolve in a predator-prey system. Here we examine whether success-biased social learning, by which social learners copy successful demonstrators, allows social learning by foragers to evo...

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Development of lumbar spine MRI referrals vetting models using machine learning and deep learning algorithms: Comparison models vs healthcare professionals.

Publication Type:Academic Journal

Source(s):Radiography (London, England : 1995) [Radiography (Lond)] 2022 Aug; Vol. 28 (3), pp. 674-683. Date of Electronic Publication: 2022 Jun 11.

Abstract:Introduction: Referrals vetting is a necessary daily task to ensure the appropriateness of radiology referrals. Vetting requires extensive clinical knowledge and may challenge those responsible. This study aims to develop AI models to automate the vett...

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A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

Publication Type:Academic Journal

Source(s):BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2022 Jul 25; Vol. 22 (1), pp. 194. Date of Electronic Publication: 2022 Jul 25.

Abstract:Background: Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We developed a process mining/deep lea...

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Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.

Publication Type:Academic Journal

Source(s):Briefings in bioinformatics [Brief Bioinform] 2022 Jul 18; Vol. 23 (4).

Abstract:Antibodies are versatile molecular binders with an established and growing role as therapeutics. Computational approaches to developing and designing these molecules are being increasingly used to complement traditional lab-based processes. Nowadays, i...

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Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jul 16; Vol. 22 (14). Date of Electronic Publication: 2022 Jul 16.

Abstract:In the oil and gas industries, predicting and classifying oil and gas production for hydrocarbon wells is difficult. Most oil and gas companies use reservoir simulation software to predict future oil and gas production and devise optimum field developm...

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Perceptual learning after rapidly alternating exposure to taste compounds: Assessment with different indices of generalization.

Publication Type:Academic Journal

Source(s):Journal of experimental psychology. Animal learning and cognition [J Exp Psychol Anim Learn Cogn] 2022 Jul; Vol. 48 (3), pp. 169-178.

Abstract:Exposure to two similar stimuli (AX and BX; e.g., two tastes) reduces the extent to which a conditioned response later established to BX generalizes to AX. This example of perceptual learning is more evident when AX and BX are exposed in an alternating...

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MultiHeadGAN: A deep learning method for low contrast retinal pigment epithelium cell segmentation with fluorescent flatmount microscopy images.

Publication Type:Academic Journal

Source(s):Computers in biology and medicine [Comput Biol Med] 2022 Jul; Vol. 146, pp. 105596. Date of Electronic Publication: 2022 May 10.

Abstract:Background: Retinal pigment epithelium (RPE) aging is an important cause of vision loss. As RPE aging is accompanied by changes in cell morphological features, an accurate segmentation of RPE cells is a prerequisite to such morphology analyses. Due the...

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