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Machine Learning Techniques Applied to Predict the Performance of Contact Centers Operators
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Plant Disease Detection and Classification by Deep Learning: A Review
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Machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation
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Plant Disease Detection Using Machine Learning Techniques
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Machine Learning-based Error Detection and Design Optimization in Signal Integrity Applications
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Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning
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Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks
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Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques
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Machine Learning, Markov Chain Monte Carlo and Optimal Algorithms to Characterize the AdvACT kilopixel Transition-Edge Sensor Arrays
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Predicting Market Performance Using Machine and Deep Learning Techniques
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Machine-Learning Attacks on PolyPUFs, OB-PUFs, RPUFs, LHS-PUFs, and PUF–FSMs
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Predictive Analysis of Network based Attacks by Hybrid Machine Learning Algorithms
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Magnetocardiography based Ischemic Heart Disease Detection and Localization using Machine Learning Methods
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Predictive Analytics on Diabetes Data using Machine Learning Techniques
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Manifold A Model Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
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Privacy-Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery
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