Essays about: "Class imbalance"
Showing result 1 - 5 of 57 essays containing the words Class imbalance.
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1. Optimizing ERP Recommendations Using Machine Learning Techniques
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. READ MORE
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2. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE
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3. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE
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4. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE
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5. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting
University essay from KTH/Matematik (Avd.)Abstract : In this paper, a study is conducted to investigate the use of Curriculum Learning as an approach to address accuracy issues in a neural network caused by training on a Long-Tailed dataset. The thesis problem is presented by a Swedish e-commerce company. READ MORE