ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

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Classification in high dimensional data using sparse techniques by Stulumani, Agrippa

Subjects: “…Sparse classification…”
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Preconditioning for feature selection in classification by Pretorius, Jani

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Dataset selection for aggregate model implementation in predictive data mining

Subjects: “…Bias reduction…”
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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique by Kamel, Raymond N.

Subjects: “…Epileptic; EEG Signals; Classifier-Driven; Feature Reduction; Random Forest; Seizure Detection; Classification;…”
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Methods for sugarcane harvest detection using polarimetric SAR by Portnoi, Michael

Subjects: “…Harvest classification…”
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Feature selection for multi-label classification by Contardo-Berning, Ivona E.

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A critical analysis of the tax implications of debt reductions

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Statistical classification procedures for analyisng functional data by Orsmond, Chane

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Visualization as a guidance to classification for large datasets by Atteya, Heba Abdelfattah

“…We compare the classifier performance before and after the dimensionality reduction. Our experiments showed that t-SNE helps improve classification accuracy of NN and KNN on a benchmarking dataset as well as a user-curated dataset on performance of students at our home institution. …”
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Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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Micro-doppler classification of humans and animals using FMCW radar by Manga, Amisha

“…Following this, a two-stage classification process was implemented to further refine the analysis. …”
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Dataset shift in land-use classification for optical remote sensing

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Statistical classification in high-dimensional scenarios with a focus on microarray data sets by Rodseth, Tessa Louise

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FPGA accelerated radio galaxy classification with a Fourier convolutional neural network by Edwards, Barend Jacobus

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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

“…This data was then used to train, and test 3 different classification models (XGBoost, KNN & SVM) and the outcome was compared accordingly. …”
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Real-Time behaviour classification techniques in low-power animal borne sensor applications by Solomon Petrus, Le Roux

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Particle swarm optimisation: an algorithm using support vector classification based constraint approximations. by Malan, Maria Magdalena

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Typology of smallholder farming in South Africa’s former homelands : towards an appropriate classification system by Pienaar, Petrus Louw

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