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

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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

“…Thus, a robust and useful method for improving classification rates is proposed for both small and large datasets.…”

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis by Navadon Khunlertgit (3480926)

Internet of things based multi-sensor patient fall detection system by Khan, Sarah

Subjects: “…Pattern classification…”
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Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches by Sondes Gharsellaoui (16870047)

“…Third, the extracted and selected features are introduced to several machine learning classifiers for fault classification purposes. The effectiveness and higher classification accuracy of the developed Multiscale PCA (MSPCA)-based ML technique is demonstrated using two examples: synthetic data and simulated data extracted from Air Conditioning systems.…”

Intelligent Hybrid Feature Selection for Textual Sentiment Classification by Jawad Khan (6422669)

“…The sentiment features subset is then selected employing a fast and simple rank-based ensemble of multiple filters feature selection method. The selected sentiment features are further refined by applying a wrapper-based backward feature selection method. …”

LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

“…To cope with this problem, several resampling methods have been developed recently. In this article, we present a case study approach for investigating the effects of data balancing approaches. …”

Classification of Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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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. …”
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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks by Gacem, Mohamed Ait

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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms by Almahmood, Mothanna

“…It is difficult to predict the effect of drugs on the individuals, as its results are unpredictable and most often dangerous. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…<p dir="ltr">Accelerated brain aging and abnormalities are associated with variations in brain patterns. Effective and reliable assessment methods are required to accurately classify and estimate brain age. …”

Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

“…This is followed by variable selection using stepwise regression and multiclass linear classification. The presented method achieved an average classification accuracy of 93.4%. …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…Early and accurate cancer detection is essential for effective treatment and improved patient outcomes. …”

Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals by Harbaji, Mustafa

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Hydration Assessment Using the Bio-Impedance Analysis Method by Reem AlDisi (18418764)

“…<div><p>Body hydration is considered one of the most important physiological parameters to measure and one of the most challenging. Current methods to assess hydration are invasive and require costly clinical settings. …”

Knowledge Fusion by Harnessing Support Vector Machines for Collaborative Uncertain Data Classification in Multiagent Systems by Hussein, Ahmad MohdAziz

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