Results 51 to 60 of about 941,916 (317)

Deep learning based pulse shape discrimination for germanium detectors

open access: yes, 2019
Experiments searching for rare processes like neutrinoless double beta decay heavily rely on the identification of background events to reduce their background level and increase their sensitivity.
Hauertmann, L.   +5 more
core   +1 more source

Dimensional approaches to experimental psychopathology of schizophrenia: shift learning and report of psychotic-like experiences in college students [PDF]

open access: yes, 2005
Adopting a dimensional approach to experimental psychopathology, and taking into account inconsistencies in the previous literature, we examined whether reports of psychotic-like experiences in undergraduate students were associated with shift-learning ...
Abbruzzese   +36 more
core   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin   +12 more
wiley   +1 more source

Dissociable processes for orientation discrimination learning and contextual illusion magnitude.

open access: yesPLoS ONE, 2014
Previous research suggests an inverse relationship between human orientation discrimination sensitivity and tilt illusion magnitude. To test whether these perceptual functions are inherently linked, we measured both orientation discrimination sensitivity
Charlotte Elizabeth Holmes Wilks   +2 more
doaj   +1 more source

Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding

open access: yesInternational Journal of Computational Intelligence Systems, 2023
The purpose of feature learning is to obtain effective representation of the raw data and then improve the performance of machine learning algorithms such as clustering or classification.
Jian Wang   +4 more
doaj   +1 more source

Fighting Discrimination through Sport? Evaluating Sport-Based Workshops in Irish Schools

open access: yesEducation Sciences, 2023
Discrimination based on ethnicity, gender, or sexual orientation remains a pressing challenge throughout Europe, including within Ireland. Despite this, anti-discrimination education is lacking and uneven within school settings.
Louis Moustakas, Lisa Kalina
doaj   +1 more source

JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics

open access: yes, 2018
In applications of machine learning to particle physics, a persistent challenge is how to go beyond discrimination to learn about the underlying physics.
Andreassen, Anders   +3 more
core   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong   +7 more
wiley   +1 more source

Discriminative learning of apparel features [PDF]

open access: yes2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015
ISBN:978-4-901122-14 ...
Rothe, Rasmus   +3 more
openaire   +2 more sources

Multi-modal discrimination learning in humans: evidence for configural theory

open access: yes, 2007
Human contingency learning was used to compare the predictions of configural and elemental theories. In three experiments, participants were required to learn which indicators were associated with an increase in core temperature of a fictitious nuclear ...
Redhead, Edward S.
core   +1 more source

Home - About - Disclaimer - Privacy