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Supervised term-category feature weighting for improved text classification
Published 2022“…It consists of a supervised weighting scheme defined based on a variant of the TF-ICF (Term Frequency-Inverse Category Frequency) model, embedded into three new lean classification approaches: (i) IterativeAdditive (flat), (ii) GradientDescentANN (1-layered), and (iii) FeedForwardANN (2-layered). …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
Published 2025“…<p dir="ltr">This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. …”
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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
Published 2022“…This paper proposes an IoT architecture that uses deep learning on edge devices to convey animal classification results to a mobile app using the LoRaWAN low-power, wide-area network. …”
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Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images
Published 2025“…This study explores the efficacy of synthetic data generated using diffusion models for training deep learning models within a self-supervised learning framework. …”
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Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…The model produces category-based feature vector representations that are used to augment the document representations and perform the classification task. …”
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A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
Published 2024Get full text
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The Use of Supply Chain Metrics in Lebanon
Published 2020Get full text
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