Essays about: "Imbalance Metrics"

Showing result 1 - 5 of 10 essays containing the words Imbalance Metrics.

1. 1. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting

   University essay from KTH/Matematik (Avd.)

   Author : Daniel Barreira; [2023]
   Keywords : Machine Learning; Neural Network; CORAL-framework; Long-Tailed Data; Imbalance Metrics; Teacher-Student models; Curriculum Learning; Training Scheme; Maskininlärning; Neuralt Nätverk; CORAL-ramverk; Long-Tailed Data; Imbalance Metrics; Teacher-Student modeler; Curriculum Learning; Tränings- scheman;

   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

3. 2. Topical Classification of Images in Wikipedia : Development of topical classification models followed by a study of the visual content of Wikipedia

   University essay from Linköpings universitet/Datorseende

   Author : Matheus Vieira Bernat; [2023]
   Keywords : Wikipedia; Multilabel classification; Deep learning;

   Abstract : With over 53 million articles and 11 million images, Wikipedia is the greatest encyclopedia in history. The number of users is equally significant, with daily views surpassing 1 billion. Such an enormous system needs automation of tasks to make it possible for the volunteers to maintain. READ MORE

4. 3. Predicting Chronic Kidney Disease using a multimodal Machine Learning approach

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Aakruti Mishra; Navaneeth Puthiyandi; [2023]
   Keywords : Chronic kidney disease; Multimodal approach; ROCKET; Random Forest; XGBoost; MIMIC-III database; Data imbalance; Temporal and static modalities; Soft voting;

   Abstract : Chronic Kidney Disease (CKD) is a common and dangerous health condition that requires early detection and treatment to be effective. Current diagnostic methods are time-consuming and expensive. In this research, we hope to construct a predictive model for CKD utilizing a combination of time series and static variables for early detection of CKD. READ MORE

5. 4. Automatic Podcast Chapter Segmentation : A Framework for Implementing and Evaluating Chapter Boundary Models for Transcribed Audio Documents

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adam Feldstein Jacobs; [2022]
   Keywords : Machine Learning; Natural Language Processing; Speech Technology; Deep Learning; Podcast Segmentation; Maskininlärning; Språkteknologi; Djupinlärning; Podcast Segmentation;

   Abstract : Podcasts are an exponentially growing audio medium where useful and relevant content should be served, which requires new methods of information sorting. This thesis is the first to look into the state-of-art problem of segmenting podcasts into chapters (structurally and topically coherent sections). READ MORE

6. 5. Predicting Early Hospital Readmissions usingMachine Learning

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Adam Temmel; [2022]
   Keywords : E-health; Machine Learning; Hospital Readmission;

   Abstract : An early hospital readmission means that a newly discharged patient is readmitted within a small time frame (< 30 days) due to reasons directly related to the original admission. This generally runs the risk of negatively impacting both the wellbeing of the patient in question as well as the hospice care unit admitting the patient economically. READ MORE