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HYBRID TECHNIQUE FOR SOFTWARE DEFECT PREDICTION USING MACHINE LEARNING TECHNIQUES
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Understanding impact sensitivity of energetic molecules by supervised machine learning
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Machine Learning Meets Tax Fraud - Insights from Slovakia
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Process-Based Machine Learning Observationally Constrains Future Regional Warming Projections
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Deep Learning Techniques for a Comprehensive Analysis of Fetal Biometric Parameters Across Trimesters
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Quantifying Drought Using Machine Learning Models with SPEI indices and Weather Data
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Machine Learning Models for Improved Tracking from Range-Doppler Map Images
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Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis - Breakthrough Device Designation and Validation Results
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Using Machine Learning to classify low-growing forage plants of Megathyrsus maximus (Syn. Panicum maximum) - Research findings
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Layer-diverse Negative Sampling for Graph Neural Networks - Research Paper Summary
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HOW DIFFERENT FEATURE SELECTION METHODS AFFECT THE PRECISION OF BREAST CANCER PREDICTION MACHINE LEARNING MODELS - A COMPARATIVE STUDY
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Edge Machine Learning for Solar Power Forecasting - Research and Evaluation
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Web search trends on fibromyalgia - development of a machine learning model - analysis and prediction
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Enhancing predictions of subclinical cardiac dysfunction in SLE patients through integrative machine learning analysis
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Early heart rate predicts 3-month outcomes in acute ischemic stroke patients receiving intravenous thrombolysis - a machine learning approach
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