Essays about: "Binary classification"

Showing result 1 - 5 of 185 essays containing the words Binary classification.

  1. 1. Assessing the Streamline Plausibility Through Convex Optimization for Microstructure Informed Tractography(COMMIT) with Deep Learning

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Xinyi Wan; [2023]
    Keywords : Tractography; dMRI; Filtering Methods; Deep Learning; Classification;

    Abstract : Tractography is widely used in the brain connectivity study from diffusion magnetic resonance imaging data. However, lack of ground truth and plenty of anatomically implausible streamlines in the tractograms have caused challenges and concerns in the use of tractograms such as brain connectivity study. READ MORE

  3. 2. Evaluating the quality of ultrasonic signals using machine learning : A comparative study on binary classification methods applied on ultrasonic chirp signals

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Fabian Revilla; [2023]
    Keywords : mechatronics; machine learning; ultrasonic; bolt-tightening; nutrunner; clamp force control; elongation control; pre-load control; cross-correlation; mekatronik; maskininlärning; ultraljud; skruvdragare; klämkraft; klämkraftsåtdragning; klämkraftsreglering; korskorrelation;

    Abstract : Advanced bolt-tightening tools such as automatic nutrunners are commonly used in industrial factories to streamline the assembly process. In safety-critical systems, it is crucialto control the tightening process. READ MORE

  4. 3. Computation models for audiovisual attention decoding

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Sara Enander; Louise Karsten; [2022]
    Keywords : Technology and Engineering;

    Abstract : When being in a noisy environment, a normal hearing person can manage to sort out background noise and focus on the attended source. This is something that a person with impaired hearing will struggle with, even when wearing a hearing aid. READ MORE

  5. 4. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Rasmus Sjöö; [2022]
    Keywords : Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

    Abstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE

  6. 5. Comparing Weak and Strong Annotation Strategies for Multiple Instance Learning in Digital Pathology

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Alice Ciallella; [2022]
    Keywords : Multiple-Instance Learning MIL ; prostate cancer; bag creation; digital pathology; binary classification; multiclass classification;

    Abstract : Prostate cancer is the second most diagnosed cancer worldwide and its diagnosis is done through visual inspection of biopsy tissue by a pathologist, who assigns a score used by doctors to decide on the treatment. However, the scoring system, the Gleason score, is affected by a high inter and intra-observer variability, lack of standardization, and overestimation. READ MORE