Essays about: "masking"

Showing result 6 - 10 of 91 essays containing the word masking.

  1. 6. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

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

    Author : Alfred Nilsson; [2023]
    Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

  3. 7. A Side-Channel Attack on Masked and Shuffled Implementations of M-LWE and M-LWR Cryptography : A case study of Kyber and Saber

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

    Author : Linus Backlund; [2023]
    Keywords : Public-key Cryptography; Post-Quantum Cryptography; Kyber; Saber; Side-Channel Attack; Power Analysis; Asymetrisk Kryptering; Kvantsäker Kryptografi; Kyber; Saber; Sidokanalsattack; Effektanalys;

    Abstract : In response to the threat of a future, large-scale, quantum computer, the American National Institute of Standards and Technology (NIST) initiated a competition for designs of quantum-resistant cryptographic primitives. In 2022, the lattice-based Module-Learning With Errors (M-LWE) scheme Kyber emerged as the winner to be standardized. READ MORE

  4. 8. Quantitative susceptibility mapping of the knee: A comparison of approaches for addressing fatty tissue

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Cornelia Säll; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Background/purpose Quantitative susceptibility mapping (QSM) is an MRI-based post processing technique to evaluate the magnetic susceptibility, χ, of human tissue using phase data. While brain imaging has been the most common application, other areas have also raised interest. READ MORE

  5. 9. Explainable AI by Training Introspection

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Rozhin Dastkarvelayati; Soudabeh Ghafourian; [2023]
    Keywords : Explainable Artificial Intelligence XAI ; Model Improvement; XAI stability;

    Abstract : Deep Neural Networks (DNNs) are known as black box algorithmsthat lack transparency and interpretability for humans. eXplainableArtificial Intelligence (XAI) is introduced to tackle this problem. MostXAI methods are utilized post-training, providing explanations of themodel to clarify its predictions and inner workings for human understanding. READ MORE

  6. 10. Syntactic Crossroads: Testing L2 sensitivity to Strong Crossover in an online experiment.

    University essay from Stockholms universitet/Institutionen för svenska och flerspråkighet

    Author : Daniele Tucciarone; [2022]
    Keywords : ;

    Abstract : We investigated sensitivity of non-native speakers of English to the Strong Crossover (SCO) constraint and Binding Principle C. Taking Clahsen & Felser’s (2006) Shallow Structure Hypothesis as a theoretical foundation, we tested whether non-native speakers would show a similar ability in predictively processing syntactic gaps in Strong Crossover configurations as had English native speakers in Kush et al. READ MORE