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Towards Reliability in Smart Water Sensing Technology: Evaluating Classical Machine Learning Models for Outlier Detection. [PDF]
Sensors (Basel)Lamrini M +3 more
europepmc +1 more source
Advanced Science, EarlyView.A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi +12 more
wiley +1 more source
Advanced Science, EarlyView.Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li +10 more
wiley +1 more source
Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy. [PDF]
VirusesJacob Khoury S +3 more
europepmc +1 more source
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Outlier Detection: Methods, Models, and Classification
ACM Computing Surveys, 2021Azzedine Boukerche, Omar Alfandi
exaly
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2021Raed Alsini +2 more
exaly
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data
IEEE Transactions on Cybernetics, 2022Tianrui Li, Hongmei Chen, Zhong Yuan
exaly
A novel outlier detection approach based on formal concept analysis
Knowledge-Based Systems, 2023Qian Hu, Zhong Yuan, Keyun Qin
exaly