Sökning: "ensemble based"

Visar resultat 1 - 5 av 201 uppsatser innehållade orden ensemble based.

1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Marisa Wodrich; [2024]
   Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

   Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

3. 2. Samspel – Ja tack? : Att påverka musikaliskt samspel i ensemble på gymnasiet

   L3-uppsats, Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

   Författare :Ida Lundberg; [2024]
   Nyckelord :ensemble; exercises; interaction; music; ensemble; musik; samspel; övningar;

   Sammanfattning : I detta utvecklingsarbete har jag identifierat tre “nycklar” i musikaliskt samspel – att lyssna, leda och forma. Dessa “nycklar” baseras på mina tidigare erfarenheter av att musicera i ensemble. Utifrån dessa “nycklar” har jag utformat tre samspelsövningar – LYSSNA, LEDA och FORMA. LÄS MER

4. 3. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

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

   Författare :Ivan Baheux; [2023]
   Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

   Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

5. 4. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

7. 5. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Max Aronsson; Anna Folkesson; [2023]
   Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

   Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER