Essays about: "classification with data imbalance"
Showing result 21 - 25 of 39 essays containing the words classification with data imbalance.
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21. Evaluation of transferability of Convolutional Neural Network pre-training with regard to image characteristics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study evaluates the impact of pre-training on a medical classification task and investigates what characteristics if images affect the transferability of learned features from the pre-training. Cardiotocography (CTG) is a combined electronic measurement of the fetal heart rate (FHR) and maternal uterine contractions during labor and delivery and is commonly analyzed to prevent hypoxia. READ MORE
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22. A Comparative Review of SMOTE and ADASYN in Imbalanced Data Classification
University essay from Uppsala universitet/Statistiska institutionenAbstract : In this thesis, the performance of two over-sampling techniques, SMOTE and ADASYN, is compared. The comparison is done on three imbalanced data sets using three different classification models and evaluation metrics, while varying the way the data is pre-processed. READ MORE
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23. Deep Learning for Deep Water: Robust classification of ship wakes with expert in the loop
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This work examines the applicability of the deep learning models to pattern recognition in acoustic ocean data. The features of the dataset include noise, data scarcity and the lack of labeled samples. A deep learning model is proposed for the task of automatic wake detection. READ MORE
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24. Data Augmentation in Solving Data Imbalance Problems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. READ MORE
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25. Forecasting Components Failure Using Ant Colony Optimization For Predictive Maintenance
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Failures are the eminent aspect of any machine and so is true for vehicle as it is one of the sophisticated machines of today’s time. Early detection of faults and prioritized maintenance is a necessity of vehicle manufactures as it enables them to reduce maintenance cost and increase customer satisfaction. READ MORE