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Unveiling Customer Insights - An Interpretable Machine Learning Approach to Bank Telemarketing Data
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A standardized comparative framework for machine learning techniques in lithium-ion battery state of health estimation
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Privacy meets Robustness - Unveiling the interplay between Differential Privacy and Robustness in Machine Learning
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Accelerating Hasegawa–Wakatani simulations with machine learning for out-of-distribution predictions
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A blockchain solution for decentralized training in machine learning for IoT - Secure and efficient federated learning
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Unearthing large pseudoscalar Yukawa couplings with machine learning
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Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
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Noise classification in three-level quantum networks by Machine Learning
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Machine Learning and Statistical Approaches for Forecasting Electricity Demand in Vaasa - Master’s Thesis
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Speaking with mask in the COVID-19 era - Multiclass machine learning classification of acoustic and perceptual parameters
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Automated Machine Learning-Based Significant Wave Height Prediction for Marine Operations
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Predicting non-responders to lifestyle intervention in prediabetes - a machine learning approach
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Evaluating Gender Fairness of Machine Learning Algorithms for Pain Detection - Paper Review
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Interpretable Machine Learning for Predicting the Fatigue Strength of Steel - Influence of Composition and Processing - Abstract
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Developing Ensemble Machine Learning Models to Predict Petrophysical Properties of Sandstone Reservoirs - Doctor of Philosophy Thesis
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