Oscillatory signatures of Repetition Suppression and Novelty Detection reveal altered induced visual responses in early deafness
Sign Up to like & getrecommendations! Published in 2021 at "Cortex"
DOI: 10.1016/j.cortex.2021.05.017
Abstract: The ability to differentiate between repeated and novel events represents a fundamental property of the visual system. Neural responses are typically reduced upon stimulus repetition, a phenomenon called Repetition Suppression (RS). On the contrary, following… read more here.
Keywords: repetition suppression; oscillatory; oscillatory signatures; early deafness ... See more keywords
Real-time novelty detection of an industrial gas turbine using performance deviation model and extreme function theory
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109339
Abstract: Abstract Novelty detection is crucial to ensure the availability and reliability of an industrial gas turbine. With the application of modern health monitoring systems, there is an ample amount of data gathered from gas turbines,… read more here.
Keywords: gas; model; industrial gas; novelty detection ... See more keywords
Novelty Detection in Memory for Common and Uncommon Odors Over Short Delays.
Sign Up to like & getrecommendations! Published in 2021 at "Chemical senses"
DOI: 10.1093/chemse/bjab013
Abstract: Odor memory is commonly believed to be very strong and long-lasting. The present study examined factors that impact odor recognition memory over short delay intervals (immediately or 30-seconds after target presentation) with emphasis on memory… read more here.
Keywords: recognition memory; short delays; odors short; recognition ... See more keywords
Novelty Detection in Social Media by Fusing Text and Image Into a Single Structure
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939736
Abstract: This work aims to propose an approach for detecting novelties, taking into account the temporal flow of data streams in social media. To this end, we present a completely new architecture for novelty detection. This… read more here.
Keywords: novelty detection; social media; approach; image ... See more keywords
Keeping Deep Lithography Simulators Updated: Global–Local Shape-Based Novelty Detection and Active Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3192175
Abstract: Learning-based presimulation (i.e., layout-to-fabrication) models have been proposed to predict the fabrication-induced shape deformation from an IC layout to its fabricated circuit. Such models are usually driven by pairwise learning, involving a training set of… read more here.
Keywords: active learning; novelty; novelty detection; global local ... See more keywords
SNDProb: A Probabilistic Approach for Streaming Novelty Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3169229
Abstract: A probabilistic framework for streaming novelty detection is proposed and illustrated with a mixture of Gaussian distributions that models the set of classes. Instances are predicted based on the probability of belonging to each of… read more here.
Keywords: approach streaming; sndprob probabilistic; streaming novelty; novelty detection ... See more keywords
Habituation and novelty detection fNIRS brain responses in 5‐ and 8‐month‐old infants: The Gambia and UK
Sign Up to like & getrecommendations! Published in 2019 at "Developmental Science"
DOI: 10.1111/desc.12817
Abstract: Abstract The first 1,000 days of life are a critical window of vulnerability to exposure to socioeconomic and health challenges (i.e. poverty/undernutrition). The Brain Imaging for Global Health (BRIGHT) project has been established to deliver… read more here.
Keywords: response; habituation novelty; brain; novelty ... See more keywords
Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Structural Health Monitoring"
DOI: 10.1177/1475921717691260
Abstract: Within machine learning, several structural damage detection and localization methods based on clustering and novelty detection methods have been proposed in the recent years in order to monitor mechanical and civil structures. In order to… read more here.
Keywords: structural damage; detection; damage; density peaks ... See more keywords
Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks
Sign Up to like & getrecommendations! Published in 2021 at "Structural Health Monitoring"
DOI: 10.1177/1475921720988666
Abstract: The novelty detection of bridges using monitoring data is an effective technique for diagnosing structural changes and possible damages, providing a critical basis for assessing the structural states of bridges. As cable forces describe the… read more here.
Keywords: graph convolutional; stayed bridges; cable; cable stayed ... See more keywords
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection
Sign Up to like & getrecommendations! Published in 2020 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008288
Abstract: The cell is compartmentalised into complex micro-environments allowing an array of specialised biological processes to be carried out in synchrony. Determining a protein’s sub-cellular localisation to one or more of these compartments can therefore be… read more here.
Keywords: novelty detection; sub cellular; localisation; approach ... See more keywords
Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0222983
Abstract: The blood flow through the major vessels holds great diagnostic potential for the identification of cardiovascular complications and is therefore routinely assessed with current diagnostic modalities. Heart valves are subject to high hydrodynamic loads which… read more here.
Keywords: degradation; heart; detection algorithms; valve ... See more keywords