Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

“…The proposed method is compared against several popular algorithms including mRMR, Boruta, genetic, recursive feature elimination, Lasso, and Elastic Net. The results show that NES significantly outperforms the benchmarks algorithms especially on multi-class datasets.…”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification by Jawad Khan (6422669)

“…Effective feature extraction and selection are significant for the SA because they can boost the learning algorithm’s predictive performance while reducing the high-dimensional feature space. …”

A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

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Supervised term-category feature weighting for improved text classification by Attieh, Joseph

“…Hence, choosing a suitable method for term weighting is of major importance and can help increase the effectiveness of the classification task. In this study, we provide a novel text classification framework for Category-based Feature Engineering titled CFE. …”
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Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed by Bartholomew, Aaron

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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”

Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection by Atiq ur Rehman (3044409)

“…(vi) The performance comparison with state-of-the-art feature selection methods shows a significant improvement and promise of the proposed method over the existing methods.…”

Evaluation of The Factors Affecting Microplastics and Nanoparticles in Plastic Water Supply Pipes by Hammodat, Amina Rayan

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How global spine sagittal alignment and spinal degeneration affect locomotive syndrome risk in the elderly by Ramada R. Khasawneh (6837734)

Towards the development of an integrated model for examining the determinants affecting the use of Queue Management Solutions in Healthcare by ALQUDAH, ADI AHMAD ALI

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Postprandial lipaemia 10 and 34 hours after playing football: Does playing frequency affect the response? by Darren J. Paul (6905450)

“…For the 3FOOT, there was a non significant decrease in postprandial TG AUC (-2.7%; p = 0.73; 95%CI = -2.0 to 1.5; ES = 0.05) and iAUC (-17.5%; p = 0.41; 95%ci = -2.5 to 1.1; ES = 0.31) from 10 to 34 hrs, respectively. …”

Methylation at global LINE-1 repeats in human blood are affected by gender but not by age or natural hormone cycles by El Maarri, Osman

“…In vitro results largely confirmed these findings, as neither estrogen nor dihydrotestosterone affected LINE-1 or Alu methylation in Hek293T, HUVEC, or MDA-kb2 cell lines. …”
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PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

“…Random Forest (RF) builds multiple decision trees to identify complex, non-linear patterns within the feature space. Gaussian Naïve Bayes (GNB) utilizes a probabilistic framework based on Bayes’ theorem to manage uncertainty in feature distributions. …”

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

“…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …”

Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

“…Performing text classification requires features that effectively represent the content and the meaning of textual documents. …”
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Prognostic values of the mRNA expression of natural killer receptor ligands and their association with clinicopathological features in breast cancer patients by Ali Abouelghar (14152773)

“…The aim of this study was to determine whether NK receptor ligands’ mRNA expression might influence prognosis in BC patients and whether these effects differ by molecular subtypes and clinicopathological features.…”

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

“…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis by Abu Farha, Nadia

“…Independent Component Analysis (ICA) is an effective method and has been extensively used in the suppression of EEG artifacts. …”
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