Sökning: "Kolmogorov-Smirnov-test"

Visar resultat 1 - 5 av 18 uppsatser innehållade ordet Kolmogorov-Smirnov-test.

1. 1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Linda Erwe; Xin Wang; [2024]
   Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

   Sammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER

3. 2. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER

4. 3. Possible Difficulties in Evaluating University PerformanceBased on Publications Due to Power Law Distributions : Evidence from Sweden

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Haroon Sadric; Sarah Zia; [2023]
   Nyckelord :Performance Metric; Swedish Universities; Power Law Distribution; Number of Publications; Slope Value; and Kolmogorov-Smirnov test;

   Sammanfattning : Measuring the research performance of a university is important to the universities themselves, governments, and students alike. Among other metrics, the number of publications is easy to obtain, and due to the large number of publications each university produces during one year, it suggests to be one accurate metric. LÄS MER

5. 4. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Emma Lind; [2022]
   Nyckelord :Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

   Sammanfattning : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. LÄS MER

7. 5. Privacy-aware data generation : Using generative adversarial networks and differential privacy

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Felix Hübinette; [2022]
   Nyckelord :GANS; DP; generative adversarial networks; differential privacy; data generation; privacy; security;

   Sammanfattning : Today we are surrounded by IOT devices that constantly generate different kinds of data about its environment and its users. Much of this data could be useful for different research purposes and development, but a lot of this collected data is privacy-sensitive for the individual person. LÄS MER