Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på forfatter "Bach, Kerstin"
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Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin (Peer reviewed; Journal article, 2021)Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. However, despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty ... -
Scalability of mobile health backends: Analysis, configuration and evaluation of the selfBACK systems data storage
Rynning-Tønnesen, Kasper (Master thesis, 2018)Internett vokser og rekker lenger og lenger, med bedre hastighet enn noen sinne. Apper med lav responstid er derfor viktig for brukeropplevelsen. Hvis denne responstiden øker nok, vil brukere gå lei, og ende opp med å ... -
Similarity measure development for case-based reasoning?a data-driven approach
Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Peer reviewed; Journal article, 2019)In this paper, we demonstrate a data-driven methodology for modelling the local similarity measures of various attributes in a dataset. We analyse the spread in the numerical attributes and estimate their distribution using ... -
Similarity Measure Development for Case-Based Reasoning–A Data-Driven Approach
Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Chapter, 2019)In this paper, we demonstrate a data-driven methodology for modelling the local similarity measures of various attributes in a dataset. We analyse the spread in the numerical attributes and estimate their distribution using ... -
Sleep classification of body-worn accelerometer data using machine learning
Gryvill, Margrethe (Master thesis, 2021)Søvn er essensielt for å opprettholde god fysisk og psykisk helse. Et viktig aspekt ved søvn er mønsteret av søvnstadier, som kan si mye om en persons søvnkvalitet. Innenfor søvnstadie-klassifisering er målet å kunne skille ... -
SupportPrim-a computerized clinical decision support system for stratified care for patients with musculoskeletal pain complaints in general practice: study protocol for a randomized controlled trial
Lervik, Lars Christian Naterstad; Vasseljen, Ottar; Austad, Bjarne; Bach, Kerstin; Bones, Anita Formo; Granviken, Fredrik; Hill, Jonathan C.; Jørgensen, Pål; Øien, Torbjørn; Marin Veites, Paola; Van der Windt, Danielle A.; Meisingset, Ingebrigt (Peer reviewed; Journal article, 2023)Background Musculoskeletal disorders represented 149 million years lived with disability world-wide in 2019 and are the main cause of years lived with disability worldwide. Current treatment recommendations are based ... -
The 25th International Conference on Case-Based Reasoning
Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean (Journal article; Peer reviewed, 2018) -
Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications
Veiga, Tiago Santos; Asad, Hafiz Areeb; Kræmer, Frank Alexander; Bach, Kerstin (Peer reviewed; Journal article, 2022)IoT applications with their resource-constrained sensor devices can benefit from adjusting their operations to the phenomena they sense and the environments they operate in, leading to the paradigm of self-adaptive, ... -
A Twin XCBR System Using Supportive and Contrastive Explanations
Bayrak, Betül; Bach, Kerstin (Chapter, 2023)Machine learning models are increasingly being applied in safety-critical domains. Therefore, ensuring their trustworthiness and reliability has become a priority. Uncertainty measures the lack of trust in these models, ... -
Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learnings
Murad, Abdulmajid (Doctoral theses at NTNU;2023:64, Doctoral thesis, 2023)The goal of many Internet of Things (IoT) sensing applications, such as environmental monitoring, is to support decision-making by providing valuable information about various phenomena. One approach to achieve this goal ... -
Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study
Nordstoga, Anne Lovise; Bach, Kerstin; Sani, Sadiq; Wiratunga, Nirmalie; Mork, Paul Jarle; Villumsen, Morten; Cooper, Kay (Peer reviewed; Journal article, 2020)Background: Self-management is the key recommendation for managing nonspecific low back pain (LBP). However, there are well-documented barriers to self-management; therefore, methods of facilitating adherence are required. ... -
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements
Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Chapter, 2021)Feature selection for case representation is an essential phase of Case-Based Reasoning (CBR) system development. To (semi-)automate the feature selection process can ease the knowledge engineering process. This paper ... -
Using Case- based Reasoning for Creating Intelligent Systems in Healthcare
Verma, Deepika (Doctoral theses at NTNU;2022:390, Doctoral thesis, 2022)Healthcare research is an emerging field of application of machine learning techniques to investigate complex health datasets. Patients are at the center of any healthcare system. There is a growing realisation of the ... -
Using extended siamese networks to provide decision support in aquaculture operations
Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar (Peer reviewed; Journal article, 2021)Aquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely ... -
Using similarity learning to enable decision support in aquaculture
Mathisen, Bjørn Magnus (Doctoral theses at NTNU;2021:331, Doctoral thesis, 2021)Aquaculture (AQ) is an industry that cultivates food in water. This includes many types of seafood such as salmon, trout, and whitefish, as well as shellfish and algae. Farms for seafood production are typically described ... -
Vigorous Activity Detection in Human Activity Recognition
Skauge, Sigbjørn Nøst (Master thesis, 2021)Human Activity Recognition er et studiefelt hvor menneskets bevegelse er i fokus. Dette gjelder under spesielle situasjoner, som trening, arbeid eller lignende, eller under hverdagslige aktiviteter. Feltet har nylig fått ... -
Visual analytics for exploring air quality data in an AI-enhanced IoT environment
Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios (Chapter, 2019)Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist ...