Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach von Fawagreh, Khaled, Gaber, Mohamed Medhat

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Random forests: from early developments to recent advancements von Fawagreh, Khaled, Gaber, Mohamed Medhat, Elyan, Eyad

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Machine Learning in Higher Education: Students' Performance Assessment considering Online Activity Logs von Latif, Ghazanfar, Abdelhamid, Sherif E., Fawagreh, Khaled S, Brahim, Ghassen Ben, Alghazo, Runna

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eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning von Fawagreh, Khaled, Gaber, Mohamed Medhat

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Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging von Latif, Ghazanfar, Alghazo, Jaafar, Khan, Majid Ali, Ben Brahim, Ghassen, Fawagreh, Khaled, Mohammad, Nazeeruddin

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Financial Data Analytics: Theory and Application von Koseoglu, Sinem Derindere

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Diversified Random Forests Using Random Subspaces von Fawagreh, Khaled, Gaber, Mohamed Medhat, Elyan, Eyad

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Pruned Random Forests for Effective and Efficient Financial Data Analytics von Fawagreh, Khaled, Gaber, Mohamed Medhat, Abdalla, Mentalla

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On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications von Fawagreh, Khaled, Gaber, Mohamad Medhat, Elyan, Eyad

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An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests von Fawagreh, Khaled, Gaber, Mohamad Medhat, Elyan, Eyad

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On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications von Fawagreh, Khaled, Mohamad Medhat Gaber, Elyan, Eyad

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An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests von Fawagreh, Khaled, Mohamad Medhat Gaber, Elyan, Eyad

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