Essays about: "oversampling"

Showing result 16 - 20 of 60 essays containing the word oversampling.

  1. 16. Trampoline jump classification using sparse data in machine learning

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

    Author : Fredrik Bitén; [2021]
    Keywords : ;

    Abstract : Within the last few years, machine learning has grown rapidly and become widely used when classifying data from inertial measurement units (IMU). Sensor data, and in particular accelerometer data, are used in different types of trick classifications for various sporting exercises. READ MORE

  3. 17. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  4. 18. A Comparison on Supervised and Semi-Supervised Machine Learning Classifiers for Diabetes Prediction

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Lokesh Kola; Vigneshwar Muriki; [2021]
    Keywords : Machine Learning; Semi-supervised Learning; Supervised Learning; Diabetes Prediction;

    Abstract : Background: The main cause of diabetes is due to high sugar levels in the blood. There is no permanent cure for diabetes. However, it can be prevented by early diagnosis. In recent years, the hype for Machine Learning is increasing in disease prediction especially during COVID-19 times. READ MORE

  5. 19. Automatic Diagnosis of Parkinson’s Disease Using Machine Learning : A Comparative Study of Different Feature Selection Algorithms, Classifiers and Sampling Methods

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

    Author : Jeannie He; [2021]
    Keywords : Machine learning; Parkinson’s disease; Feature Selection; Greedy Search; Genetic Algorithm; Diagnosis of Parkinson’s Disease; Drawing Exams; Voice Exams; Maskininlärning; Parkinsons sjukdom; Greedy search; Genetisk algorithm; Urvalsalgoritm; Diagnos av Parkinsons sjukdom; Ritningstester; Rösttester;

    Abstract : Over the past few years, several studies have been published to propose algorithms for the automated diagnosis of Parkinson’s Disease using simple exams such as drawing and voice exams. However, at the same time as all classifiers appear to have been outperformed by another classifier in at least one study, there appear to lack a study on how well different classifiers work with a certain feature selection algorithm and sampling method. READ MORE

  6. 20. Automatic Classification of Snow Particles

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Emma Axebrink; [2021]
    Keywords : Snow particles; Automatic Classification; CNN;

    Abstract : The simplest form of a snow particle is a hexagonal prism which can grow into a stellar crystal by growing branches from the six corners of the prism. The snow particle is affected by the temperature and supersaturation in the air, giving its unique form. Manual classification of snow particles based on shape is tedious work. READ MORE