Essays about: "ensemble based"

Showing result 1 - 5 of 148 essays containing the words ensemble based.

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

    University essay from Lunds universitet/Matematik LTH

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

    Abstract : 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. READ MORE

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

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

    Author : Ivan Baheux; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Matematisk statistik

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

    Abstract : 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. READ MORE

  5. 5. Spectromorphological Reductions : Exploring and developing approaches for sound-based notation of live electronics

    University essay from Luleå tekniska universitet/Musik, medier och teater

    Author : Hans Lennart Jonsäll; [2023]
    Keywords : live electronics; electronic music; electroacoustic music; notation; spectromorphology; typo-morphology; Sound Notation; digital musical instruments.;

    Abstract : In this master’s thesis, a sound-based notation system is explored and developed in the composition and performance of a musical work for live electronics. My approach builds on existing systems for electroacoustic music analysis, most notably Dennis Smalley’s (1997) theory of spectromorphology and the symbolic language of Lasse Thoresen & Andreas Hedman (2007) based on Pierre Schaeffer’s typo-morphology, as well as Mattias Sköld’s (2023) adaptation of this system for composition and transcription (Sound Notation). READ MORE