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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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Process Mining Influence on Requirement Elicitation for Machine Learning
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Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction
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Machine Learning-Based Fake Account Detection System - Instagram Case Study
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A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
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Malicious URL detection using machine learning techniques
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Multi-Class Machine Learning to Quantify the Impact of Nitrogen Management Practices on Grassland Biomass
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Leveraging Interpretable Machine Learning for Multiomic and Clinical Data Integration in Biomarker Discovery for Precision Medicine - Dissertation
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Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data
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