Results 61 to 70 of about 17,625 (278)
On Generalized Schürmann Entropy Estimators
Entropy, 2022 We present a new class of estimators of Shannon entropy for severely undersampled discrete distributions. It is based on a generalization of an estimator proposed by T.
Peter Grassberger
doaj +1 more source
A conceptual model of enhanced undersampling technique [PDF]
, 2014 Imbalanced datasets often lead to decrement of classifiers’ performance.Undersampling technique is one of the approaches that is used when dealing with imbalanced datasets problem.This paper discusses on the advantages and disadvantages of several ...
Mohamed Din, Aniza +2 more
core
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Undersampling in Orthogonal Frequency Division Multiplexing Telecommunication Systems
Applied Sciences, 2014 Several techniques have been proposed that attempt to reconstruct a sparse signal from fewer samples than the ones required by the Nyquist theorem.
Nikos Petrellis
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Engineering Reports, 2021 This survey paper focuses on one of the current primary issues challenging data mining researchers experimenting on real‐world datasets. The problem is that of imbalanced class distribution that generates a bias toward the majority class due to ...
Dr. Seba Susan, Amitesh Kumar
doaj +1 more source
, 2021 Matlab code for the retrospective undersampling section of "Optimization of Undersampling Parameters for 3D Intracranial Compressed Sensing MR Angiography at 7 Tesla", by Matthijs de Buck, Peter Jezzard, and Aaron Hess (Oxford, 2021). Requires the BART
de Buck, Matthijs +2 more
core +1 more source
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha +5 more
wiley +1 more source
Cells, 2023 Human Immunodeficiency virus (HIV) and its clinical entity, the Acquired Immunodeficiency Syndrome (AIDS) continue to represent an important health burden worldwide.
José Salomón Altamirano-Flores +5 more
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Arthritis &Rheumatology, EarlyView.Objective To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high‐resolution deep learning–reconstructed Dixon sequence (DL‐Dixon) in patients with suspected axial spondyloarthritis (axSpA). Methods Seventy‐six patients with chronic low back pain and suspected axSpA underwent clinical,
Dominik Deppe +12 more
wiley +1 more source