Efficient feature selection techniques for sentiment analysis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08409-z
Abstract: Sentiment analysis is a domain of study that focuses on identifying and classifying the ideas expressed in the form of text into positive, negative and neutral polarities. Feature selection is a crucial process in machine… read more here.
Keywords: analysis; sentiment analysis; selection techniques; feature selection ... See more keywords
Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Biochemistry and Biotechnology"
DOI: 10.1007/s12010-019-03222-8
Abstract: Skin disease is the most common problem between people. Due to pollution and deployment of ozone layer, harmful UV rays of sun burn the skin and develop various types of skin diseases. Nowadays, machine learning… read more here.
Keywords: feature selection; feature; disease; model ... See more keywords
Identifying key wavenumbers that improve prediction of amylose in rice samples utilizing advanced wavenumber selection techniques.
Sign Up to like & getrecommendations! Published in 2021 at "Talanta"
DOI: 10.1016/j.talanta.2020.121908
Abstract: This study utilizes advanced wavenumber selection techniques to improve the prediction of amylose content in grounded rice samples with near-infrared spectroscopy. Four different wavenumber selection techniques, i.e. covariate selection (CovSel), variable combination population analysis (VCPA),… read more here.
Keywords: rice samples; wavenumber selection; selection; selection techniques ... See more keywords
Deconstructability prediction for building using machine learning and ensemble feature selection techniques
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-00790-0
Abstract: Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering… read more here.
Keywords: deconstruction; using machine; machine learning; selection techniques ... See more keywords
Enhancing brain cancer type prediction through machine learning algorithms and feature selection techniques
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Physics A: Mathematical and Theoretical"
DOI: 10.1088/1751-8121/ad7e63
Abstract: The manual identification of brain cancer types is often fraught with inaccuracies, leading to potential delays in diagnosis and treatment planning. This study presents a novel approach to predict brain cancer types using advanced machine… read more here.
Keywords: feature selection; brain cancer; brain; selection techniques ... See more keywords
P-092 PGT-A Evaluates Advanced Sperm Selection in Embryos from High Teratozoospermia Males; a prospective randomized controlled trial
Sign Up to like & getrecommendations! Published in 2024 at "Human Reproduction"
DOI: 10.1093/humrep/deae108.466
Abstract: Can sperm selection techniques improve the reproductive outcomes of ICSI patients, particularly in males with high teratozoospermia index (TZI) and sperm DNA fragmentation (SDF)? Sperm selection techniques significantly increase fertilization and blastocyst development rates in… read more here.
Keywords: males high; sperm selection; implantation; selection techniques ... See more keywords
Practically Implementation of Information Loss: Sensitivity, Risk by Different Feature Selection Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152963
Abstract: The modern perspective to deal with bulky data generations schemes of latest technologies in terms of dimensionality and sample size to extract meaningful information also to support automated knowledge discovery and pattern recognition process form… read more here.
Keywords: information; information loss; selection techniques; implementation information ... See more keywords
Intrusion Detection System Framework for SDN-Based IoT Networks Using Deep Learning Approaches With XAI-Based Feature Selection Techniques and Domain-Constrained Features
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3595595
Abstract: The proliferation of Internet of Things (IoT) applications impact many aspects of life, including smart homes, smart offices, and smart cities, among others. However, it poses significant cybersecurity threats. Intrusion detection systems (IDSs) utilize artificial… read more here.
Keywords: deep learning; sdn based; based iot; selection techniques ... See more keywords
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0284150
Abstract: With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse clinical evolutions. Here we… read more here.
Keywords: selection techniques; covid severity; severity; feature selection ... See more keywords
EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9120726
Abstract: Communication, neuro-prosthetics, and environmental control are just a few applications for disabled persons who use robots and manipulators that use brain-computer interface (BCI) systems. The brain’s motor imagery (MI) signal is an essential input for… read more here.
Keywords: selection techniques; brain; channel selection; eeg channel ... See more keywords
Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics
Sign Up to like & getrecommendations! Published in 2025 at "Biomolecules"
DOI: 10.3390/biom15010081
Abstract: Cancer’s heterogeneity presents significant challenges in accurate diagnosis and effective treatment, including the complexity of identifying tumor subtypes and their diverse biological behaviors. This review examines how feature selection techniques address these challenges by improving… read more here.
Keywords: cancer; enhancing precision; tumor; selection techniques ... See more keywords