Blar i Brage NMBU på forfatter "Tomic, Oliver"
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Predicting treatment outcome of colorectal cancer from MRI images using machine learning
Søvdsnes, Marthe Susann (Master thesis, 2021)In this thesis different machine learning algorithms have been utilised to predict treatment outcome for patients with colorectal cancer. The predicted treatment endpoint was overall survival. The patient cohort included ... -
Prediction of passenger load on busses in Oslo using data from Automatic Data Collection-systems
Jarmund, Johanne Krokene (Master thesis, 2021)Public transport is key to reducing the usage of private vehicles, and by extension carbon emission in urban areas. Ruter is responsible planning and coordinating public transport in Oslo. Through different Automatic Data ... -
Predictive maintenance for fouling in a plate heat exchanger
Mohammad, Numan (Master thesis, 2019)Heat exchangers are very common in industrial processes, such as waste heat recovery and the food and chemical industry as well as in daily life like air-conditioning. One of the major hurdles in the performance, process, ... -
Predictive maintenance in hydropower plants : a case study of valves and servomotors
Cereku, Ernes (Master thesis, 2022)Digitalization has opened the opportunity for a fourth industrial revolution and the hydropower industry is taking charge of enabling digitalization in their operation. There are a lot of studies on predictive maintenance, ... -
Prediksjon av behandlingsutfall for hode- og halskreftpasienter ved bruk av radiomics og repetert elastisk nett teknikk
Fjellvang, Sofie (Master thesis, 2022)Radiomics er et fagområde som baserer seg på å hente ut egenskaper fra medisinske bilder ved hjelp av ulike dataalgoritmer. Disse egenskapene defineres ut i fra forholdet mellom nabovoksler, og skal avdekke mønstre og ... -
Preliminary evaluation of using machine learning to prioritise cancer patients for proton radiotherapy by predicting dose to organs at risk
Claesson, Linda Josephine (Master thesis, 2019)The investment in proton radiation therapy raises the question of how cancer patients should be prioritised for this treatment method. A large advantage to proton therapy is that one can minimise the radiation received ... -
Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions
Næs, Tormod; Tomic, Oliver; Endrizzi, Isabella; Varela, Paula (Peer reviewed; Journal article, 2021)This article presents a discussion of principal components analysis of descriptive sensory data. Focus is on standardization, many correlated variables, validation, and the use of descriptive data in preference mapping. ... -
Radiomics using MR brain scans and RENT for identifying patients receiving ADHD treatment
Mohammadi, Nasibeh (Master thesis, 2021)The core purpose of this thesis was to investigate whether the methylphenidate-based (MPH) treatment of male children patients having attention-deficit/hyperactivity disorder (ADHD) led to changes to five subcortical brain ... -
Reinforcement learning for grid control in an electric distribution system
Solberg, Vegard Ulriksen (Master thesis, 2019)The increasing amount of variable renewable energy (VRE) sources such as solar and wind power in the power mix brings new challenges to existing power system infrastructure. A fundamental property of an electric power ... -
RENT: A Python Package for Repeated Elastic Net Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Huynh, Bao Ngoc; Tomic, Oliver (Journal article; Peer reviewed, 2021) -
RENT—Repeated Elastic Net Technique for Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Liland, Kristian Hovde; Indahl, Ulf Geir; Futsæther, Cecilia Marie; Tomic, Oliver (Peer reviewed; Journal article, 2021) -
Sampling strategies to estimate Noise level with regards to the Energy-Accuracy Trade-Off
Skar, Emil (Master thesis, 2020)Noise is a growing problem in today's society. This is especially true in urban areas, where noise pollution has become an important factor in the deteriorating health of the residents. Due to this, several regulations ... -
Searching for biomarkers of disease-free survival in head and neck cancers using PET/CT radiomics
Langberg, Geir Severin Rakh Elvatun (Master thesis, 2019)The goals of this thesis were to (1) study methodologies for radiomics data analysis, and (2) apply such methods to identify biomarkers of disease-free survival in head and neck cancers. Procedures for radiomics feature ... -
Sequential and orthogonalized partial least squares regression applied to healthcare data acquired from patients diagnosed with gastrointestinal carcinoma
Sana, Hemanth Babu (Master thesis, 2021)Gastrointestinal carcinoma are the cancers that affect the gastrointestinal tract and other organs that include esophagus, pancreas, stomach, colon, rectum, anus, liver and intestine. Gastrointestinal cancers account to ... -
Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects
Næs, Tormod; Romano, Rosaria; Tomic, Oliver; Måge, Ingrid; Smilde, Age K.; Liland, Kristian Hovde (Peer reviewed; Journal article, 2020)This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO-PLS) for path modeling. The paper is a follow up of previously published papers on the same topic and ... -
SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations
Nguyen, Quoc Cuong; Liland, Kristian Hovde; Tomic, Oliver; Tarrega, Amparo; Varela-Tomasco, Paula Alejandra; Næs, Tormod (Peer reviewed; Journal article, 2020)In the development of sensory and consumer science, data are often collected in several blocks responding to different aspects of consumer experience. Sometimes the task of organizing the data and explaining their relation ... -
Solslyng i jernbanespor : en mulighetsstudie for å forutsi solslynghendelser ved hjelp av maskinlæring
Tegnér, Elise (Master thesis, 2019)The purpose of this master’s thesis is to do a feasibility study for predicting sun kinks in railway tracks using machine learning. Sun kinks happen when the temperature in the rail steel increases so much that the rails ... -
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival
Jenul, Anna Selina; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Rootwelt-Revheim, Mona Elisabeth; Tomic, Oliver (Journal article, 2023)Determining the most informative features for predicting the overall survival of patients diagnosed with high-grade gastroenteropancreatic neuroendocrine neoplasms is crucial to improve individual treatment plans for ... -
Tsetlin machine for analysis of healthcare data : a comparison with standard machine learning algorithms
Nymark, Petter Sunde (Master thesis, 2021)In recent years, the use of machine learning within healthcare has increased as a result of a growing amount of data being produced. This data needs analyzing, and there exists many standard machine learning methods to do ... -
Uncertainty quantification in automated tumor segmentation using deep learning
Abbas, Syed Ahmar (Master thesis, 2022)Introduction Head and neck cancer is one of the leading causes of cancer-related deaths globally and arguably has a long-standing history of impacting human life both medically and economically. Common treatment options ...