Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
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
Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage
Paul D. Baxter, Graham Upton
openalex +1 more source
Comparing methods to denoise mammographic images [PDF]
P. Mayo, F. Ródenas, G. Verdú
openalex +1 more source
Self-Supervised Voice Denoising Network for Multi-Scenario Human-Robot Interaction. [PDF]
Li M, Xu W, Zeng C, Wang N.
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
dAMUSE—A new tool for denoising and blind source separation [PDF]
Ana Maria Tomé +5 more
openalex +1 more source
Recognition of Wood-Boring Insect Creeping Signals Based on Residual Denoising Vision Network. [PDF]
Lin H +6 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Smooth dynamic <i>T<sub>2</sub> <sup>*</sup></i> mapping in fMRI based on a novel, total variation-minimizing algorithm for efficient multi-echo BOLD time series denoising with high signal-to-noise and contrast-to-noise ratios. [PDF]
Michálek J, Mikl M.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source

