Essays about: "representation similarity analysis"

Showing result 1 - 5 of 13 essays containing the words representation similarity analysis.

  1. 1. Does Equal Representation Equal Empowerment? A Case Study of Tanzanian Female-Identifying Students and Their Female President

    University essay from Lunds universitet/Graduate School

    Author : Maja Gunnarsson; [2023]
    Keywords : female empowerment; political representation; descriptive representation; female head of state; university students; Tanzania; Social Sciences;

    Abstract : In March 2021, the first-ever female president in Tanzania, Samia Suluhu Hassan, was inaugurated. This thesis explores how female-identifying students in Tanzania feel empowered by the representation provided by the female president and how identity influences this. READ MORE

  3. 2. Enhancing Anti-Poaching Efforts Through Predictive Analysis Of Animal Movements And Dynamic Environmental Factors

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Elena Castelli; [2023]
    Keywords : Animal trajectory; Dynamic environment; Trajectory prediction; Machine learning; Regression Neural Network; Poaching; Wildlife conservation;

    Abstract : This degree project addresses poaching challenges by employing predictive analysis of animal movements and their correlation with the dynamic environment using a machine learning approach. The goal is to provide accurate predictions of animal movements, enabling rangers to intercept potential threats and safeguard wildlife from snares. READ MORE

  4. 3. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data

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

    Author : Viktor Karlstrand; [2022]
    Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

    Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE

  5. 4. Evaluating the effects of data augmentations for specific latent features : Using self-supervised learning

    University essay from KTH/Hälsoinformatik och logistik

    Author : Markus Ingemarsson; Jacob Henningsson; [2022]
    Keywords : Contrastive learning; data augmentations; deep learning; invariant features; machine learning; representation similarity analysis; self-supervised learning; SimCLR; Kontrast inlärning; datamodifieringar; djupinlärning; maskininlärning; SimCLR; självövervakat lärande; oföränderliga egenskaper; representativ likhetsanalys;

    Abstract : Supervised learning requires labeled data which is cumbersome to produce, making it costly and time-consuming. SimCLR is a self-supervising framework that uses data augmentations to learn without labels. This thesis investigates how well cropping and color distorting augmentations work for two datasets, MPI3D and Causal3DIdent. READ MORE

  6. 5. "You nibble away at the edges": A qualitative analysis of climate journalism practice in Aotearoa New Zealand

    University essay from Göteborgs universitet/JMG - Inst f journalistik och masskomm

    Author : Áine Kelly-Costello; [2021-09-14]
    Keywords : Climate journalism; media logic; journalism practice theory; semi-structured interviews;

    Abstract : Anthropogenic climate change is a wicked problem and the nature of the climate discourse propagated through media outlets is one key component in shaping how the public understand and act upon its causes and ramifications. This study draws on journalism practice theory and related approaches to analyse semi-structured interviews from early 2020 with 10 journalists who consistently cover climate change in Aotearoa New Zealand. READ MORE