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  1. Employees

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Kerstin Bach

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Kerstin Bach

Professor
Department of Computer Science
Faculty of Information Technology and Electrical Engineering

kerstin.bach@ntnu.no
+4773597410 +4793032400 Gamle fysikk, 254, Gløshaugen
Twitter ResearchGate Google Scholar https://kerstinbach.de/
About Publications Outreach

About

Kerstin is a professor at the Department of Computer Science. Her core competence field is Machine Learning and Artificial Intelligence. She is currently the director of the Norwegian Open AI Lab, research director of the NorwAI research center, and deputy head of the Data and Artificial Intelligence unit.
Kerstin was awarded her PhD in Computer Science from the University of Hildesheim, Germany. Her main research interests are data-driven decision support systems as well as knowledge-intensive Case-Based Reasoning. She is active in the national and international AI community, chairing and reviewing for international conferences and serving on the board of the German Society for Computer Science's Special Interest Group on Knowledge Management and the Norwegian AI Society. She is a member of ACM, IEEE, and ELLIS.
 
Research Interest: 
The main focus of her work is methods for applied artificial intelligence. While the application domains differ, we are investigating how to make knowledge and experience available through intelligent systems. Moreover, how to build systems that support complex, knowledge-intensive decisions using heterogeneous data sources. 
She has been managing AI research in several e-health research projects, including the management of low back pain, physical activity, and sleep, or mental health. 
She enjoys discussing AI methodologies and applications with fellow researchers, but more importantly, teaching it to students and bringing it into multidisciplinary projects, thereby shaping the new digital world.
 
In particular, we are applying methods from the following research fields:
  • Case-Based Reasoning
  • Explainable Artificial Intelligence
  • Decision Support Systems
  • Information Extraction and Knowledge Engineering
Research Unit: Data and Artificial Intelligence
 
Current Projects:
  • TrustLLM - Democratising trustworthy and factual large language model technology for Europe (2023-2026, Funding: EU HEU)
  • LABDA - Learning Network for Advanced Behavioural Data Analysis (2023-2027, Funding: EU MSCA)
  • Digi-FrailCare: A sustainable multidisciplinary model for personalized care for frail older people, using artificial intelligence and the next generation of medical records (2023-2027, Funding NTNU Helse)
  • AI-MENT - Machine learning to tailor treatments in mental health (2023-2027, Funding NTNU Helse)
  • SmaRTWork - a digital system for personalized return-to-work recommendations for sick-listed with musculoskeletal disorders (2021 - 2027, Funding: Research Council of Norway)
  • Physical activity behavior and sleep study (2020-2025, Funding NTNU Helse)
  • SupportPrim - Using AI for treatment planning of musculoskeletal pain (2020-2024, Funding: Research Council of Norway)
  • Exaigon - Explainable AI systems for gradual industry adoption (2020 - 2024, Funding: Research Council of Norway)

Completed Projects:

  • AI4EU - An AI-on-demand platform for Europe (partner, Funding: EU H2020, 2019 – 2021)
  • selfBACK - A decision support system for self-management of low back pain (project manager, Funding: EUH2020, 2016-2021)
  • Back-UP - Personalised Prognostic Models to Improve Well-being and Return to Work After Neck and Low Back Pain (task leader, Funding: EU H2020, 2018 – 2021)

Competencies

  • Artificial intelligence
  • Big Data
  • Case-Based Reasoning
  • EHealth & mHealth
  • Explainable AI
  • Information retrieval
  • Knowledge Management
  • Knowledge acquisition
  • Knowledge modelling
  • Machine learning
  • ehealth

Publications

  • Chronological
  • By category
  • All publications registered in NVA

2026

  • Szczepanski, Tomasz Szymon; Nilsen, Kristian Bernhard; Dunker, Øystein; Reiner, Andrew Henry; Sand, Trond Halfdan; Tannemaat, Martijn; Yazidi, Anis; Bach, Kerstin; Zwart, John Anker Henrik; Jabre, Joe. (2026) Improving Indirect Methods for Calculating Reference Limits for Nerve Conduction Studies From Historical Data. Muscle and Nerve
    Academic article
  • Bjøru, Anna Rodum; Langseth, Helge; Strumke, Inga; Bach, Kerstin. (2026) Causal Post-hoc Explainable AI. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis
  • Mozolewski, Maciej; Bayrak-Çik, Betül; Bach, Kerstin; Nalepa, Grzegorz J. (2026) From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification. Information Systems Frontiers
    Academic article
  • Ottersen, Stuart Gallina; Bach, Kerstin. (2026) Incorporating the Cycle Inductive Bias in Masked Autoencoders. Proceedings of Machine Learning Research (PMLR)
    Academic article

2025

  • Shamba, Abdul Kazeem; Bach, Kerstin; Taylor, Gavin. (2025) Contrast All The Time: Learning Time Series Representation from Temporal Consistency.
    Academic chapter
  • Haddadj, Rayane; Nordstoga, Anne Lovise; Nilsen, Tom Ivar Lund; Skarpsno, Eivind Schjelderup; Kongsvold, Atle; Flaaten, Mats; Schipperijn, Jasper; Bach, Kerstin; Mork, Paul Jarle. (2025) Volume and Intensity of Walking and Risk of Chronic Low Back Pain. JAMA Network Open
    Academic article
  • Bayrak-Çik, Betül; Bach, Kerstin. (2025) PerCE: Hierarchical Perturbation-Based Counterfactual Explanations for Multivariate Time Series Classification. IEEE Access
    Academic article
  • Kongsvold, Atle; Flaaten, Mats; Skarpsno, Eivind Schjelderup; Logacjov, Aleksej; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study. BMJ Open sport & exercise medicine
    Academic article
  • Szczepanski, Tomasz Szymon; Omland, Petter Moe; Dunker, Øystein; Sand, Trond Halfdan; Tannemaat, Martijn; Reijntjes, Robert; Yazidi, Anis; Bach, Kerstin; Zwart, John Anker Henrik; Jabre, Joe. (2025) Deriving reference limits from historical data – A comparison of four novel methods. Clinical Neurophysiology
    Academic article
  • Sylvester, Rebecca Sophia; Bach, Kerstin; Kallestad, Håvard. (2025) Explainable Sleep-Wake Recognition Using a Twin XCBR System with Prototypes to Improve Retrieval.
    Academic chapter
  • Jenssen, Robert; Bach, Kerstin; Bjørklund, Petter. (2025) UiT er vertskap for landsdekkende KI-konferanse. uit.no
    Popular science article
  • Logacjov, Aleksej; Bach, Kerstin; Mork, Paul Jarle. (2025) Long-term self-supervised learning for accelerometer-based sleep–wake recognition. Engineering Applications of Artificial Intelligence
    Academic article
  • Logacjov, Aleksej; Ludvigsen, Tonje Pedersen; Bach, Kerstin; Kongsvold, Atle; Flaaten, Mats; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) The performance of a machine learning model in predicting accelerometer-derived walking speed. Heliyon
    Academic article
  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Bernd-Christian. (2025) UtiliGEM: Energy Management Guided by Learned Application Utility.
    Academic chapter
  • Jenssen, Robert; Bach, Kerstin. (2025) Proceedings of the Symposium of the Norwegian AI Society 2025. CEUR-WS
    Anthology
  • Kongsvold, Atle; Skarpsno, Eivind Schjelderup; Flaaten, Mats; Logacjov, Aleksej; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT study. International Journal of Behavioral Nutrition and Physical Activity
    Academic article
  • Herland, Sverre; Bach, Kerstin; Misimi, Ekrem; Langseth, Helge. (2025) Reinforcement Learning for Robotic Control and Manipulation in Ocean Space Applications. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis

2024

  • Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin; Heintz, Fredrik. (2024) 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Swedish Artificial Intelligence Society
    Anthology
  • Herland, Sverre; Bach, Kerstin; Misimi, Ekrem. (2024) 6-DoF Closed-Loop Grasping with Reinforcement Learning.
    Academic chapter
  • Hurmuz, Marian; Jansen-Kosterink, Stephanie; Mork, Paul Jarle; Bach, Kerstin; Hermens, HJ. (2024) Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain. Disability and Rehabilitation
    Academic article
  • Ottersen, Stuart Gallina; Bach, Kerstin. (2024) Automatic Adjusting Global Similarity Measures in Learning CBR Systems.
    Academic chapter
  • Marcuzzi, Anna; Klevanger, Nina Elisabeth; Aasdahl, Lene; Gismervik, Sigmund Østgård; Bach, Kerstin; Mork, Paul Jarle; Nordstoga, Anne Lovise. (2024) An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial. JMIR Human Factors
    Academic article
  • Logacjov, Aleksej; Herland, Sverre; Ustad, Astrid; Bach, Kerstin. (2024) SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Bayrak, Betül; Bach, Kerstin. (2024) Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit. IEEE Access
    Academic article
  • Granviken, Fredrik; Vasseljen, Ottar; Bach, Kerstin; Jaiswal, Amar Deep; Meisingset, Ingebrigt. (2024) Decision Support for Managing Common Musculoskeletal Pain Disorders: Development of a Case-Based Reasoning Application. JMIR Formative Research
    Academic article
  • Logacjov, Aleksej; Bach, Kerstin. (2024) Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. Engineering Applications of Artificial Intelligence
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2024) Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Generation Computer Systems
    Academic article
  • Granviken, Fredrik; Meisingset, Ingebrigt; Bach, Kerstin; Bones, Anita Formo; Simpson, Melanie Rae; Hill, Jonathan C.; Windt, Danielle A. van der; Vasseljen, Ottar. (2024) Personalised decision support in the management of patients with musculoskeletal pain in primary physiotherapy care: a cluster randomised controlled trial (the SupportPrim project). Pain
    Academic article
  • Endriss, Ulle; Melo, Francisco; Bach, Kerstin; Bugarín-Diz, Alberto; Alonso-Moral, José; Barro, Senén; Heintz, Fredrik. (2024) 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). IOS Press
    Anthology
  • Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Kongsvold, Atle Austnes; Bach, Kerstin; Mork, Paul Jarle. (2024) A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information. Nature and Science of Sleep
    Academic article
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Langseth, Helge; Ramampiaro, Heri; Bach, Kerstin. (2024) Improving Labour Inspection Efficiency via Machine Learning. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis

2023

  • Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2023) Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study. International Journal of Behavioral Nutrition and Physical Activity
    Academic article
  • Ustad, Astrid; Logacjov, Aleksej; Trollebø, Stine Øverengen; Thingstad, Anne Pernille Mæhle; Vereijken, Beatrix; Bach, Kerstin; Maroni, Nina Skjæret-. (2023) Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors
    Academic article
  • Bayrak, Betül; Bach, Kerstin. (2023) When to Explain? Model Agnostic Explanation Using a Case-based Approach and Counterfactuals.
    Academic chapter
  • Krämer, Frank Alexander; Asad, Hafiz Areeb; Bach, Kerstin; Renner, Christian. (2023) Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access
    Academic article
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Theisen, Ole Magnus; Bach, Kerstin. (2023) Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections.
    Academic chapter
  • Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2023) Correction: Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study (International Journal of Behavioral Nutrition and Physical Activity, (2023), 20, 1, (139), 10.1186/s12966-023-01541-y). International Journal of Behavioral Nutrition and Physical Activity
    Corrigendum
  • Logacjov, Aleksej; Herland, Sverre; Ustad, Astrid; Bach, Kerstin. (2023) Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article
  • Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth. (2023) Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project. BMC Medical Informatics and Decision Making
    Academic article
  • Herland, Sverre; Bach, Kerstin. (2023) Vessel-to-Vessel Motion Compensation with Reinforcement Learning.
    Academic chapter
  • Bach, Kerstin. (2023) ICCBR Doctoral Consortium 2023 Preface.
    Introduction in anthology
  • Bayrak, Betül; Bach, Kerstin. (2023) A Twin XCBR System Using Supportive and Contrastive Explanations.
    Academic chapter
  • Bayrak, Betül; Bach, Kerstin. (2023) PertCF: A Perturbation-Based Counterfactual Generation Approach.
    Academic chapter
  • 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. (2023) 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. Trials
    Academic article
  • Måløy, Håkon; Downing, Keith; Bach, Kerstin; Misimi, Ekrem. (2023) Learning neural representations for the processing of temporal data in deep neural networks. NTNU Grafisk Senter
    Doctoral thesis
  • Santos Veiga, Tiago; Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin. (2023) Container-Based IoT Architectures: Use Case for Visual Person Counting.
    Academic chapter
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2023) External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. International Journal of Medical Informatics
    Academic article
  • Marcuzzi, Anna; Nordstoga, Anne Lovise; Bach, Kerstin; Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bardal, Ellen Marie; Boldermo, Nora; Bertheussen, Gro Falkener; Marchand, Gunn Hege; Gismervik, Sigmund Østgård. (2023) Effect of an Artificial Intelligence-Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care: A Randomized Clinical Trial. JAMA Network Open
    Academic article

2022

  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Christian; Santos Veiga, Tiago. (2022) Learning attention models for resource-constrained, self-adaptive visual sensing applications.
    Academic chapter
  • Bach, Kerstin; Kapetanakis, Stelios. (2022) ICCBR Doctoral Consortium 2022. CEUR Workshop Proceedings
    Editorial
  • Marin Veites, Paola; Bach, Kerstin. (2022) Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.
    Academic chapter
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2022) Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI International Joint Conference on Artificial Intelligence
    Academic article
  • Verma, Deepika; Jansen, Duncan; Bach, Kerstin; Poel, Mannes; Mork, Paul Jarle; d’Hollosy, Wendy Oude Nijeweme. (2022) Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics and Decision Making
    Academic article
  • Santos Veiga, Tiago; Asad, Hafiz Areeb; Kræmer, Frank Alexander; Bach, Kerstin. (2022) Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Generation Computer Systems
    Academic article
  • Vonstad, Elise Klæbo; Bach, Kerstin; Vereijken, Beatrix; Su, Xiaomeng; Nilsen, Jan Harald. (2022) Performance of machine learning models in estimation of ground reaction forces during balance exergaming. Journal of NeuroEngineering and Rehabilitation
    Academic article

2021

  • Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar. (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Marcuzzi, Anna; Bach, Kerstin; Nordstoga, Anne Lovise; Bertheussen, Gro Falkener; Ashikhmin, Ilya; Boldermo, Nora; Kvarner, Else-Norun; Nilsen, Tom Ivar Lund; Marchand, Gunn Hege; Ose, Solveig Osborg. (2021) Individually tailored self-management app-based intervention (selfBACK) versus a self-management web-based intervention (e-Help) or usual care in people with low back and neck pain referred to secondary care: protocol for a multiarm randomised clinical trial. BMJ Open
    Academic article
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
    Academic chapter
  • Santos Veiga, Tiago; Ljunggren, Erling; Bach, Kerstin; Akselsen, Sigmund. (2021) Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks.
    Academic chapter
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Bach, Kerstin; Langseth, Helge. (2021) Using similarity learning to enable decision support in aquaculture. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2021) Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements.
    Academic chapter
  • Bach, Kerstin; Kongsvold, Atle Austnes; Bårdstu, Hilde Bremseth; Bardal, Ellen Marie; Kjærnli, Håkon Slåtten; Herland, Sverre; Logacjov, Aleksej; Mork, Paul Jarle. (2021) A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living. Journal for the Measurement of Physical Behaviour (JMPB)
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2021) Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics
    Academic article
  • Sandal, Louise Fleng; Bach, Kerstin; Øverås, Cecilie K.; Svendsen, Malene Jagd; Dalager, Tina; Jensen, Jesper Stejnicher Drongstrup; Kongsvold, Atle Austnes; Nordstoga, Anne Lovise; Bardal, Ellen Marie; Ashikhmin, Ilya. (2021) Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain–Related Disability A selfBACK Randomized Clinical Trial. JAMA Internal Medicine
    Academic article
  • Vonstad, Elise Klæbo; Vereijken, Beatrix; Bach, Kerstin; Su, Xiaomeng; Nilsen, Jan Harald. (2021) Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Transactions on Human-Machine Systems
    Academic article
  • Bergmann, Ralph; Minor, Mirjam; Bach, Kerstin; Althoff, Klaus-Dieter; Munoz-Avila, Hector. (2021) Fallbasiertes Schließen.
    Non-fiction chapter
  • Santos Veiga, Tiago; Munch-Ellingsen, Arne; Papastergiopoulos, Christoforos; Tzovaras, Dimitrios; Kalamaras, Ilias; Bach, Kerstin; Votis, Konstantinos; Akselsen, Sigmund. (2021) From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors
    Academic article
  • Logacjov, Aleksej; Bach, Kerstin; Kongsvold, Atle; Bårdstu, Hilde Bremseth; Mork, Paul Jarle. (2021) Harth: A human activity recognition dataset for machine learning. Sensors
    Academic article

2020

  • Bach, Kerstin; Akselsen, Sigmund; Santos Veiga, Tiago; Kalamaras, Ilias. (2020) On the Use of Air Quality Microsensors for Supporting Decision Makers.
    Academic chapter
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner. (2020) FishNet: A Unified Embedding for Salmon Recognition.
    Academic chapter
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2020) Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures.
    Academic chapter
  • Sandal, Louise Fleng; Øverås, Cecilie K.; Nordstoga, Anne Lovise; Wood, Karen; Bach, Kerstin; Hartvigsen, Jan; Søgaard, Karen; Mork, Paul Jarle. (2020) A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up. Pilot and Feasibility Studies
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning.
    Academic chapter
  • Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald. (2020) Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors
    Academic article
  • Nordstoga, Anne Lovise; Bach, Kerstin; Sani, Sadiq; Wiratunga, Nirmalie; Mork, Paul Jarle; Villumsen, Morten; Cooper, Kay. (2020) Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies
    Academic article
  • Rasmussen, Charlotte Diana Nørregaard; Svendsen, Malene Jagd; Wood, Karen; Nicholl, Barbara I; Mair, Frances S; Sandal, Louise Fleng; Mork, Paul Jarle; Søgaard, Karen; Bach, Kerstin; Stochkendahl, Mette Jensen. (2020) App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols
    Academic article
  • Althoff, Klaus-Dieter; Bach, Kerstin; Bergmann, Ralph; Marling, Cindy. (2020) The 27th International Conference on Case-Based Reasoning. The AI Magazine
    Academic article
  • Wijekoon, Anjana; Wiratunga, Nirmalie; Cooper, Kay; Bach, Kerstin. (2020) Learning to Recognise Exercises in the Self-Management of Low Back Pain.
    Academic chapter
  • Bach, Kerstin; Mork, Paul Jarle. (2020) On the Explanation of Similarity for Developing and Deploying CBR Systems.
    Academic chapter

2019

  • Jaiswal, Amar Deep; Bach, Kerstin; Meisingset, Ingebrigt; Vasseljen, Ottar. (2019) Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - A Case-Based Reasoning Approach. AAAI Press
    Anthology
  • Bach, Kerstin; Mathisen, Bjørn Magnus; Jaiswal, Amar Deep. (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings
    Academic article
  • Bach, Kerstin; Marling, Cindy. (2019) Case-Based Reasoning Research and Development. Springer
    Anthology
  • Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Lepperod, Andreas Jacobsen; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios. (2019) Visual analytics for exploring air quality data in an AI-enhanced IoT environment.
    Academic chapter
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin. (2019) Learning similarity measures from data. Progress in Artificial Intelligence
    Academic article
  • Sandal, Louise Fleng; Stochkendahl, Mette J; Svendsen, Malene Jagd; Wood, Karen; Øverås, Cecilie Krage; Nordstoga, Anne Lovise; Villumsen, Morten; Rasmussen, Charlotte Diana Nørregaard; Nicholl, Barbara I; Cooper, Kay. (2019) An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. Journal of Medical Internet Research (JMIR)
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2019) Similarity measure development for case-based reasoning-a data-driven approach. Communications in Computer and Information Science (CCIS)
    Academic article
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.
    Academic chapter
  • Jaiswal, Amar Deep; Bach, Kerstin. (2019) A Data-Driven Approach for Determining Weights in Global Similarity Functions. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.
    Academic chapter
  • Bach, Kerstin; Ruocco, Massimiliano. (2019) Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. Springer
    Anthology

2018

  • Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean. (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine
    Academic article
  • Vonstad, Elise Klæbo; Vereijken, Beatrix; Nilsen, Jan Harald; Bach, Kerstin. (2018) P 119 - Machine learning as a tool to ensure movement quality in balance training exergames. Gait & Posture
    Academic article
  • Nikpour, Hoda; Aamodt, Agnar; Bach, Kerstin. (2018) Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Nilsen, Jan Harald; Bach, Kerstin. (2018) Classification of movement quality in a weight-shifting exercise. CEUR Workshop Proceedings
    Academic article
  • Bach, Kerstin. (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems.
    Non-fiction chapter
  • Bach, Kerstin; Marling, Cindy; Mork, Paul Jarle; Aamodt, Agnar; Mair, Frances; Nicholl, Barbara I. (2018) Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2018) Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Bach, Kerstin. (2018) From data to context-aware decision making: Challenges and opportunities. CEUR Workshop Proceedings
    Academic article
  • Mork, Paul Jarle; Bach, Kerstin. (2018) A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. Journal of Medical Internet Research (JMIR)
    Academic article

2017

  • Prestmo, Tale; Bach, Kerstin; Aamodt, Agnar; Mork, Paul Jarle. (2017) Evolutionary inspired adaptation of exercise plans for increasing solution variety. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Bach, Kerstin; Prestmo, Tale; Aamodt, Agnar; Mork, Paul Jarle. (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. CEUR Workshop Proceedings
    Conference abstract
  • Skjold, Kari Fosshaug; Øynes, Marthe Sofie; Bach, Kerstin; Aamodt, Agnar. (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process.
    Academic chapter

2016

  • Bach, Kerstin; Szczepanski, Tomasz Szymon; Aamodt, Agnar; Gundersen, Odd Erik; Mork, Paul Jarle. (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science (LNCS)
    Academic article

2012

  • Bach, Kerstin. (2012) Knowledge Acquisition for Case-Based Reasoning Systems. Dr. Hut Verlag
    Doctoral thesis

Journal publications

  • Szczepanski, Tomasz Szymon; Nilsen, Kristian Bernhard; Dunker, Øystein; Reiner, Andrew Henry; Sand, Trond Halfdan; Tannemaat, Martijn; Yazidi, Anis; Bach, Kerstin; Zwart, John Anker Henrik; Jabre, Joe. (2026) Improving Indirect Methods for Calculating Reference Limits for Nerve Conduction Studies From Historical Data. Muscle and Nerve
    Academic article
  • Mozolewski, Maciej; Bayrak-Çik, Betül; Bach, Kerstin; Nalepa, Grzegorz J. (2026) From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification. Information Systems Frontiers
    Academic article
  • Ottersen, Stuart Gallina; Bach, Kerstin. (2026) Incorporating the Cycle Inductive Bias in Masked Autoencoders. Proceedings of Machine Learning Research (PMLR)
    Academic article
  • Haddadj, Rayane; Nordstoga, Anne Lovise; Nilsen, Tom Ivar Lund; Skarpsno, Eivind Schjelderup; Kongsvold, Atle; Flaaten, Mats; Schipperijn, Jasper; Bach, Kerstin; Mork, Paul Jarle. (2025) Volume and Intensity of Walking and Risk of Chronic Low Back Pain. JAMA Network Open
    Academic article
  • Bayrak-Çik, Betül; Bach, Kerstin. (2025) PerCE: Hierarchical Perturbation-Based Counterfactual Explanations for Multivariate Time Series Classification. IEEE Access
    Academic article
  • Kongsvold, Atle; Flaaten, Mats; Skarpsno, Eivind Schjelderup; Logacjov, Aleksej; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT Study. BMJ Open sport & exercise medicine
    Academic article
  • Szczepanski, Tomasz Szymon; Omland, Petter Moe; Dunker, Øystein; Sand, Trond Halfdan; Tannemaat, Martijn; Reijntjes, Robert; Yazidi, Anis; Bach, Kerstin; Zwart, John Anker Henrik; Jabre, Joe. (2025) Deriving reference limits from historical data – A comparison of four novel methods. Clinical Neurophysiology
    Academic article
  • Jenssen, Robert; Bach, Kerstin; Bjørklund, Petter. (2025) UiT er vertskap for landsdekkende KI-konferanse. uit.no
    Popular science article
  • Hurmuz, Marian; Jansen-Kosterink, Stephanie; Mork, Paul Jarle; Bach, Kerstin; Hermens, HJ. (2024) Factors influencing the use of an artificial intelligence-based app (selfBACK) for tailored self-management support among adults with neck and/or low back pain. Disability and Rehabilitation
    Academic article
  • Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2023) Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study. International Journal of Behavioral Nutrition and Physical Activity
    Academic article
  • Ustad, Astrid; Logacjov, Aleksej; Trollebø, Stine Øverengen; Thingstad, Anne Pernille Mæhle; Vereijken, Beatrix; Bach, Kerstin; Maroni, Nina Skjæret-. (2023) Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors
    Academic article
  • Krämer, Frank Alexander; Asad, Hafiz Areeb; Bach, Kerstin; Renner, Christian. (2023) Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access
    Academic article
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar. (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Logacjov, Aleksej; Bach, Kerstin; Mork, Paul Jarle. (2025) Long-term self-supervised learning for accelerometer-based sleep–wake recognition. Engineering Applications of Artificial Intelligence
    Academic article
  • Marcuzzi, Anna; Bach, Kerstin; Nordstoga, Anne Lovise; Bertheussen, Gro Falkener; Ashikhmin, Ilya; Boldermo, Nora; Kvarner, Else-Norun; Nilsen, Tom Ivar Lund; Marchand, Gunn Hege; Ose, Solveig Osborg. (2021) Individually tailored self-management app-based intervention (selfBACK) versus a self-management web-based intervention (e-Help) or usual care in people with low back and neck pain referred to secondary care: protocol for a multiarm randomised clinical trial. BMJ Open
    Academic article
  • Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean. (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine
    Academic article
  • Logacjov, Aleksej; Ludvigsen, Tonje Pedersen; Bach, Kerstin; Kongsvold, Atle; Flaaten, Mats; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) The performance of a machine learning model in predicting accelerometer-derived walking speed. Heliyon
    Academic article
  • Marcuzzi, Anna; Klevanger, Nina Elisabeth; Aasdahl, Lene; Gismervik, Sigmund Østgård; Bach, Kerstin; Mork, Paul Jarle; Nordstoga, Anne Lovise. (2024) An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial. JMIR Human Factors
    Academic article
  • Logacjov, Aleksej; Herland, Sverre; Ustad, Astrid; Bach, Kerstin. (2024) SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. Applied Intelligence - The International Journal of Research on Intelligent Systems for Real Life Complex Problems
    Academic article
  • Bach, Kerstin; Mathisen, Bjørn Magnus; Jaiswal, Amar Deep. (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings
    Academic article
  • Bach, Kerstin; Kapetanakis, Stelios. (2022) ICCBR Doctoral Consortium 2022. CEUR Workshop Proceedings
    Editorial
  • Vonstad, Elise Klæbo; Vereijken, Beatrix; Nilsen, Jan Harald; Bach, Kerstin. (2018) P 119 - Machine learning as a tool to ensure movement quality in balance training exergames. Gait & Posture
    Academic article
  • Sandal, Louise Fleng; Øverås, Cecilie K.; Nordstoga, Anne Lovise; Wood, Karen; Bach, Kerstin; Hartvigsen, Jan; Søgaard, Karen; Mork, Paul Jarle. (2020) A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up. Pilot and Feasibility Studies
    Academic article
  • Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2023) Correction: Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study (International Journal of Behavioral Nutrition and Physical Activity, (2023), 20, 1, (139), 10.1186/s12966-023-01541-y). International Journal of Behavioral Nutrition and Physical Activity
    Corrigendum
  • Nikpour, Hoda; Aamodt, Agnar; Bach, Kerstin. (2018) Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin. (2019) Learning similarity measures from data. Progress in Artificial Intelligence
    Academic article
  • Prestmo, Tale; Bach, Kerstin; Aamodt, Agnar; Mork, Paul Jarle. (2017) Evolutionary inspired adaptation of exercise plans for increasing solution variety. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Logacjov, Aleksej; Herland, Sverre; Ustad, Astrid; Bach, Kerstin. (2023) Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition. NIKT: Norsk IKT-konferanse for forskning og utdanning
    Academic article
  • Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Nilsen, Jan Harald; Bach, Kerstin. (2018) Classification of movement quality in a weight-shifting exercise. CEUR Workshop Proceedings
    Academic article
  • Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth. (2023) Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project. BMC Medical Informatics and Decision Making
    Academic article
  • Bach, Kerstin; Kongsvold, Atle Austnes; Bårdstu, Hilde Bremseth; Bardal, Ellen Marie; Kjærnli, Håkon Slåtten; Herland, Sverre; Logacjov, Aleksej; Mork, Paul Jarle. (2021) A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living. Journal for the Measurement of Physical Behaviour (JMPB)
    Academic article
  • Sandal, Louise Fleng; Stochkendahl, Mette J; Svendsen, Malene Jagd; Wood, Karen; Øverås, Cecilie Krage; Nordstoga, Anne Lovise; Villumsen, Morten; Rasmussen, Charlotte Diana Nørregaard; Nicholl, Barbara I; Cooper, Kay. (2019) An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial. Journal of Medical Internet Research (JMIR)
    Academic article
  • Bach, Kerstin; Marling, Cindy; Mork, Paul Jarle; Aamodt, Agnar; Mair, Frances; Nicholl, Barbara I. (2018) Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems
    Academic article
  • Bayrak, Betül; Bach, Kerstin. (2024) Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit. IEEE Access
    Academic article
  • Granviken, Fredrik; Vasseljen, Ottar; Bach, Kerstin; Jaiswal, Amar Deep; Meisingset, Ingebrigt. (2024) Decision Support for Managing Common Musculoskeletal Pain Disorders: Development of a Case-Based Reasoning Application. JMIR Formative Research
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2019) Similarity measure development for case-based reasoning-a data-driven approach. Communications in Computer and Information Science (CCIS)
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors
    Academic article
  • Logacjov, Aleksej; Bach, Kerstin. (2024) Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. Engineering Applications of Artificial Intelligence
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2021) Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics
    Academic article
  • Sandal, Louise Fleng; Bach, Kerstin; Øverås, Cecilie K.; Svendsen, Malene Jagd; Dalager, Tina; Jensen, Jesper Stejnicher Drongstrup; Kongsvold, Atle Austnes; Nordstoga, Anne Lovise; Bardal, Ellen Marie; Ashikhmin, Ilya. (2021) Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain–Related Disability A selfBACK Randomized Clinical Trial. JAMA Internal Medicine
    Academic article
  • Jaiswal, Amar Deep; Bach, Kerstin. (2019) A Data-Driven Approach for Determining Weights in Global Similarity Functions. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Vonstad, Elise Klæbo; Vereijken, Beatrix; Bach, Kerstin; Su, Xiaomeng; Nilsen, Jan Harald. (2021) Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Transactions on Human-Machine Systems
    Academic article
  • Bach, Kerstin; Prestmo, Tale; Aamodt, Agnar; Mork, Paul Jarle. (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. CEUR Workshop Proceedings
    Conference abstract
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2022) Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI International Joint Conference on Artificial Intelligence
    Academic article
  • 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. (2023) 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. Trials
    Academic article
  • Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald. (2020) Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2024) Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Generation Computer Systems
    Academic article
  • Granviken, Fredrik; Meisingset, Ingebrigt; Bach, Kerstin; Bones, Anita Formo; Simpson, Melanie Rae; Hill, Jonathan C.; Windt, Danielle A. van der; Vasseljen, Ottar. (2024) Personalised decision support in the management of patients with musculoskeletal pain in primary physiotherapy care: a cluster randomised controlled trial (the SupportPrim project). Pain
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2018) Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. Lecture Notes in Computer Science (LNCS)
    Academic article
  • Verma, Deepika; Jansen, Duncan; Bach, Kerstin; Poel, Mannes; Mork, Paul Jarle; d’Hollosy, Wendy Oude Nijeweme. (2022) Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics and Decision Making
    Academic article
  • Nordstoga, Anne Lovise; Bach, Kerstin; Sani, Sadiq; Wiratunga, Nirmalie; Mork, Paul Jarle; Villumsen, Morten; Cooper, Kay. (2020) Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2023) External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. International Journal of Medical Informatics
    Academic article
  • Santos Veiga, Tiago; Asad, Hafiz Areeb; Kræmer, Frank Alexander; Bach, Kerstin. (2022) Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Generation Computer Systems
    Academic article
  • Bach, Kerstin. (2018) From data to context-aware decision making: Challenges and opportunities. CEUR Workshop Proceedings
    Academic article
  • Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Kongsvold, Atle Austnes; Bach, Kerstin; Mork, Paul Jarle. (2024) A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information. Nature and Science of Sleep
    Academic article
  • Marcuzzi, Anna; Nordstoga, Anne Lovise; Bach, Kerstin; Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bardal, Ellen Marie; Boldermo, Nora; Bertheussen, Gro Falkener; Marchand, Gunn Hege; Gismervik, Sigmund Østgård. (2023) Effect of an Artificial Intelligence-Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care: A Randomized Clinical Trial. JAMA Network Open
    Academic article
  • Vonstad, Elise Klæbo; Bach, Kerstin; Vereijken, Beatrix; Su, Xiaomeng; Nilsen, Jan Harald. (2022) Performance of machine learning models in estimation of ground reaction forces during balance exergaming. Journal of NeuroEngineering and Rehabilitation
    Academic article
  • Rasmussen, Charlotte Diana Nørregaard; Svendsen, Malene Jagd; Wood, Karen; Nicholl, Barbara I; Mair, Frances S; Sandal, Louise Fleng; Mork, Paul Jarle; Søgaard, Karen; Bach, Kerstin; Stochkendahl, Mette Jensen. (2020) App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols
    Academic article
  • Santos Veiga, Tiago; Munch-Ellingsen, Arne; Papastergiopoulos, Christoforos; Tzovaras, Dimitrios; Kalamaras, Ilias; Bach, Kerstin; Votis, Konstantinos; Akselsen, Sigmund. (2021) From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors
    Academic article
  • Althoff, Klaus-Dieter; Bach, Kerstin; Bergmann, Ralph; Marling, Cindy. (2020) The 27th International Conference on Case-Based Reasoning. The AI Magazine
    Academic article
  • Mork, Paul Jarle; Bach, Kerstin. (2018) A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. Journal of Medical Internet Research (JMIR)
    Academic article
  • Logacjov, Aleksej; Bach, Kerstin; Kongsvold, Atle; Bårdstu, Hilde Bremseth; Mork, Paul Jarle. (2021) Harth: A human activity recognition dataset for machine learning. Sensors
    Academic article
  • Kongsvold, Atle; Skarpsno, Eivind Schjelderup; Flaaten, Mats; Logacjov, Aleksej; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle. (2025) Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT study. International Journal of Behavioral Nutrition and Physical Activity
    Academic article
  • Bach, Kerstin; Szczepanski, Tomasz Szymon; Aamodt, Agnar; Gundersen, Odd Erik; Mork, Paul Jarle. (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science (LNCS)
    Academic article

Books

  • Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin; Heintz, Fredrik. (2024) 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Swedish Artificial Intelligence Society
    Anthology
  • Jaiswal, Amar Deep; Bach, Kerstin; Meisingset, Ingebrigt; Vasseljen, Ottar. (2019) Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - A Case-Based Reasoning Approach. AAAI Press
    Anthology
  • Bach, Kerstin; Marling, Cindy. (2019) Case-Based Reasoning Research and Development. Springer
    Anthology
  • Bach, Kerstin; Ruocco, Massimiliano. (2019) Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. Springer
    Anthology
  • Jenssen, Robert; Bach, Kerstin. (2025) Proceedings of the Symposium of the Norwegian AI Society 2025. CEUR-WS
    Anthology
  • Endriss, Ulle; Melo, Francisco; Bach, Kerstin; Bugarín-Diz, Alberto; Alonso-Moral, José; Barro, Senén; Heintz, Fredrik. (2024) 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). IOS Press
    Anthology

Part of book/report

  • Shamba, Abdul Kazeem; Bach, Kerstin; Taylor, Gavin. (2025) Contrast All The Time: Learning Time Series Representation from Temporal Consistency.
    Academic chapter
  • Sylvester, Rebecca Sophia; Bach, Kerstin; Kallestad, Håvard. (2025) Explainable Sleep-Wake Recognition Using a Twin XCBR System with Prototypes to Improve Retrieval.
    Academic chapter
  • Herland, Sverre; Bach, Kerstin; Misimi, Ekrem. (2024) 6-DoF Closed-Loop Grasping with Reinforcement Learning.
    Academic chapter
  • Bayrak, Betül; Bach, Kerstin. (2023) When to Explain? Model Agnostic Explanation Using a Case-based Approach and Counterfactuals.
    Academic chapter
  • Ottersen, Stuart Gallina; Bach, Kerstin. (2024) Automatic Adjusting Global Similarity Measures in Learning CBR Systems.
    Academic chapter
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
    Academic chapter
  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Christian; Santos Veiga, Tiago. (2022) Learning attention models for resource-constrained, self-adaptive visual sensing applications.
    Academic chapter
  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Bernd-Christian. (2025) UtiliGEM: Energy Management Guided by Learned Application Utility.
    Academic chapter
  • Santos Veiga, Tiago; Ljunggren, Erling; Bach, Kerstin; Akselsen, Sigmund. (2021) Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks.
    Academic chapter
  • Bach, Kerstin; Akselsen, Sigmund; Santos Veiga, Tiago; Kalamaras, Ilias. (2020) On the Use of Air Quality Microsensors for Supporting Decision Makers.
    Academic chapter
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner. (2020) FishNet: A Unified Embedding for Salmon Recognition.
    Academic chapter
  • Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Lepperod, Andreas Jacobsen; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios. (2019) Visual analytics for exploring air quality data in an AI-enhanced IoT environment.
    Academic chapter
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Theisen, Ole Magnus; Bach, Kerstin. (2023) Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections.
    Academic chapter
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2020) Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures.
    Academic chapter
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2021) Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements.
    Academic chapter
  • Bach, Kerstin. (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems.
    Non-fiction chapter
  • Herland, Sverre; Bach, Kerstin. (2023) Vessel-to-Vessel Motion Compensation with Reinforcement Learning.
    Academic chapter
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning.
    Academic chapter
  • Bach, Kerstin. (2023) ICCBR Doctoral Consortium 2023 Preface.
    Introduction in anthology
  • Bayrak, Betül; Bach, Kerstin. (2023) A Twin XCBR System Using Supportive and Contrastive Explanations.
    Academic chapter
  • Marin Veites, Paola; Bach, Kerstin. (2022) Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.
    Academic chapter
  • Bayrak, Betül; Bach, Kerstin. (2023) PertCF: A Perturbation-Based Counterfactual Generation Approach.
    Academic chapter
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.
    Academic chapter
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.
    Academic chapter
  • Skjold, Kari Fosshaug; Øynes, Marthe Sofie; Bach, Kerstin; Aamodt, Agnar. (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process.
    Academic chapter
  • Santos Veiga, Tiago; Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin. (2023) Container-Based IoT Architectures: Use Case for Visual Person Counting.
    Academic chapter
  • Bergmann, Ralph; Minor, Mirjam; Bach, Kerstin; Althoff, Klaus-Dieter; Munoz-Avila, Hector. (2021) Fallbasiertes Schließen.
    Non-fiction chapter
  • Wijekoon, Anjana; Wiratunga, Nirmalie; Cooper, Kay; Bach, Kerstin. (2020) Learning to Recognise Exercises in the Self-Management of Low Back Pain.
    Academic chapter
  • Bach, Kerstin; Mork, Paul Jarle. (2020) On the Explanation of Similarity for Developing and Deploying CBR Systems.
    Academic chapter

Student thesis or dissertation

  • Bjøru, Anna Rodum; Langseth, Helge; Strumke, Inga; Bach, Kerstin. (2026) Causal Post-hoc Explainable AI. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis
  • Bach, Kerstin. (2012) Knowledge Acquisition for Case-Based Reasoning Systems. Dr. Hut Verlag
    Doctoral thesis
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Bach, Kerstin; Langseth, Helge. (2021) Using similarity learning to enable decision support in aquaculture. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis
  • Måløy, Håkon; Downing, Keith; Bach, Kerstin; Misimi, Ekrem. (2023) Learning neural representations for the processing of temporal data in deep neural networks. NTNU Grafisk Senter
    Doctoral thesis
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Langseth, Helge; Ramampiaro, Heri; Bach, Kerstin. (2024) Improving Labour Inspection Efficiency via Machine Learning. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis
  • Herland, Sverre; Bach, Kerstin; Misimi, Ekrem; Langseth, Helge. (2025) Reinforcement Learning for Robotic Control and Manipulation in Ocean Space Applications. Norges teknisk-naturvitenskapelige universitet
    Doctoral thesis

Outreach

2025

  • Conference lecture
    Aasdahl, Lene; Mork, Paul Jarle; Bach, Kerstin; Vats, Anuja; Ottersen, Stuart Gallina; Nilsen, Tom Ivar Lund; Hara, Karen Walseth; Øverås, Cecilie K.; Lervik, Lars Christian Naterstad; Granviken, Fredrik. (2025) SmaRTWork. Nasjonale forskningskonferanse om muskelskjeletthelse (MUSS)
  • Conference poster
    Szczepanski, Tomasz Szymon; Omland, Petter Moe; Dunker, Øystein; Sand, Trond Halfdan; Tannemaat, Martijn; Reijntjes, Robert; Yazidi, Anis; Bach, Kerstin; Zwart, John Anker Henrik; Jabre, Joe. (2025) Deriving reference limits from historical data - A comparison of four novel methods. 19th European Congress of Clinical Neurophysiology
  • Other presentation
    Jenssen, Robert; Tegnander, Cathrine; Olsen, Dag Rune; Syrstad, Ragnhild Sjoner; Teigland, André; Thaulow, Sven Størmer; Bach, Kerstin; Fahlvik, Anne Kjersti. (2025) Forskningsdrevet innovasjon innen KI: Hvordan styrker vi det sammen?. Arendalsuka 2025
  • Lecture
    Bach, Kerstin. (2025) AI and Health: Challenges and Opportunities for Interdisciplinary Collaboration. AIR Research Seminar - School of Computing, Engineering, and Technology at RGU, Aberdeen
  • Lecture
    Bach, Kerstin; Flobak, Åsmund; Tessem, May-Britt; Visnes, Torkild. (2025) Panel: Challenges and Opportunities for Precision Medicine. Workshop: Precision Medicine for Sustainable Healthcare
  • Conference lecture
    Bach, Kerstin. (2025) XAI for Trustworthy AI: Bridging Interpretability and Reliability. Invited Seminar at the School of Electrical Engineering and Computer Science
  • Conference poster
    Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bach, Kerstin; Fossen, Heidi; Bones, Anita Formo; Vats, Anuja; Ottersen, Stuart Gallina; Klevanger, Nina Elisabeth; Lervik, Lars Christian Naterstad; Øverås, Cecilie K.. (2025) Effectiveness of an AI-based app for supporting self-management in sick-listed individuals with musculoskeletal disorders - the SmaRTWork trial protocol. International Forum for Back and Neck Pain Research in Primary Care

2024

  • Lecture
    Bach, Kerstin. (2024) Challenges converting health research to products. Norwegian Open AI Lab Partner Forum
  • Lecture
    Bach, Kerstin. (2024) Artificial Intelligence in Health Care. Artificial Intelligence in Health Care
  • Conference lecture
    Bach, Kerstin. (2024) Basics of AI & an Example of Using AI for the Health Sector. Norwegian Association for Clinical Neurophysiology - spring meeting
  • Conference lecture
    Bach, Kerstin. (2024) Involving Practitioners in Artificial Intelligence Development. Embracing Human-Aware AI in Industry 5.0 Workshop @ ECAI
  • Conference lecture
    Bach, Kerstin. (2024) Interdisciplinary Collaboration on AI and Health. LIACS Seminar
  • Lecture
    Bach, Kerstin. (2024) Developing Trustworthy AI Applications: An Overview of the Recent Developments within NorwAI. Trustworthy AI Seminar
  • Conference lecture
    Bach, Kerstin. (2024) Artificial Intelligence for Data Mining. ENGAGE.EU T5.4 Expert Group Workshop 2024
  • Conference lecture
    Bach, Kerstin; Guo, Ying; Johansen, Yngve Bolstad; Petersen, Carl Jörg; Tjåland, Egil. (2024) BRU21 - Panel discussion: The Innovation Challenge: from Academia to Industry. BRU21 Conference 2024
  • Conference lecture
    Bach, Kerstin. (2024) Panel: AI for Safety-Critical Systems: How "I" Should the AI be?. 28th Ada-Europe International Conference on Reliable Software Technologies
  • Conference lecture
    Bach, Kerstin. (2024) Beyond Big Data: Balancing Knowledge And Data For Effective Human Activity Recognition. 9th International Conference On Ambulatory Monitoring Of Physical Activity And Movement (ICAMPAM)
  • Conference lecture
    Herland, Sverre; Bach, Kerstin; Misimi, Ekrem. (2024) 6-DoF Closed-Loop Grasping with Reinforcement Learning. IEEE International Conference on Robotic Automation, ICRA
  • Conference lecture
    Meisingset, Ingebrigt; Lervik, Lars Christian Naterstad; Granviken, Fredrik; Bach, Kerstin; Klevanger, Nina Elisabeth; Bones, Anita Formo; Hill, Jonathan C.; Windt, Danielle van der. (2024) Klinisk beslutningsstøtte i behandling av pasienter med muskelskjelettplager i primærhelsetjenesten. En kluster randomisert kontrollert studie. MUSS konferanse 2024
  • Lecture
    Bach, Kerstin. (2024) Current and Future Trends in AI for Healthcare. NTNU European Conference
  • Conference lecture
    Meisingset, Ingebrigt; Granviken, Fredrik; Bach, Kerstin; Bones, Anita Formo; Simpson, Melanie Rae; Vasseljen, Ottar. (2024) Personalised management of musculoskeletal pain disorders in primary physiotherapy care: A cluster RCT (SupportPrim). IFOMPT 2024
  • Conference lecture
    Bardal, Ellen Marie; Fenne, Roar Munkeby; Bach, Kerstin. (2024) Do we need age-specific human activity recognition-models for classification of activity types in children and adolescents? – Effects of age and length of activity bouts. 9th International Conference on Ambulatory Monitoring of Physical Activity and Movement
  • Lecture
    Bach, Kerstin. (2024) Hemit Fredagsseminar: Hva er AI og hvordan kan vi bruke det?. Hemit HF fredagsseminar
  • Conference lecture
    Bach, Kerstin. (2024) Current and Future Use of Artificial Intelligence in Health. ELIB Nettverksmøte
  • Conference lecture
    Bach, Kerstin. (2024) Developing AI-driven Healthcare Interventions: The selfBACK project. Nasjonalt samarbeidsforum for test i helse-IKT (NASTHI)
  • Conference lecture
    Bach, Kerstin. (2024) A brief introduction to AI & the selfBACK case study. REHAB-24
  • Conference poster
    Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bach, Kerstin; Fossen, Heidi; Bones, Anita Formo; Vats, Anuja; Ottersen, Stuart Gallina; Klevanger, Nina Elisabeth; Lervik, Lars Christian Naterstad; Øverås, Cecilie Krage. (2024) SmaRTWork - en app for sykmeldte med muskel- og skjelettplager. Nasjonal forskningskonferanse for muskelskjeletthelse (MUSS)

2023

  • Lecture
    Bach, Kerstin. (2023) Developing AI-driven Healthcare Interventions. INB Fagdag
  • Conference lecture
    Bach, Kerstin. (2023) Introduction to NorwAI. Discovery Park Innovation Summit
  • Conference lecture
    Bach, Kerstin; Logacjov, Aleksej. (2023) Developing machine learning models to classify sleep-wake time. The Nordic Seminar on Technical Measurements of Physical Activity and Sedentary Behaviour
  • Lecture
    Bach, Kerstin. (2023) NorwAI 2023 Research Update. NorwAIInnovate 2023
  • Lecture
    Bach, Kerstin. (2023) Expertise in Action: Developing AI-Driven Solutions with Interdisciplinary Collaboration. Guest Lectures at US Naval Academy
  • Lecture
    Bach, Kerstin. (2023) Trondheim Tech Port Innovation Breakfast: The Role of AI in Future Healthcare Services. Trondheim Tech Port Innovation Breakfast
  • Conference poster
    Granviken, Fredrik; Meisingset, Ingebrigt; Bach, Kerstin; Bones, Anita Formo; Simpson, Melanie Rae; Hill, Jonathan C.; Windt, Danielle A. Van der; Vasseljen, Ottar. (2023) Optimising the management of musculoskeletal pain disorders in primary physiotherapy care: a cluster randomised controlled trial (The SupportPrim Project). 13th Congress of the European Pain Federation EFIC - Pain in Europe XIII (EFIC 2023)
  • Conference lecture
    Granviken, Fredrik; Vasseljen, Ottar; Bach, Kerstin; Jaiswal, Amar Deep; Meisingset, Ingebrigt. (2023) Case-Based Reasoning: Application of an artifical intelligence system in the management of common musculoskeletal pain complaints. The 18th International Forum for Back and Neck Pain Research in Primary Care
  • Conference poster
    Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth. (2023) Acceptance and use of a clinical decision support system in musculoskeletal pain disorders- The SupportPrim Project. The 18th International Forum for Back and Neck Pain Research in Primary Care
  • Conference poster
    Granviken, Fredrik; Meisingset, Ingebrigt; Bach, Kerstin; Bones, Anita Formo; Simpson, Melanie Rae; Hill, Jonathan C.; Windt, Danielle A. van der; Vasseljen, Ottar. (2023) Optimising the management of musculoskeletal pain disorders in primary physiotherapy care: a cluster randomised controlled trial (The SupportPrim Project). The 18th International Forum for Back and Neck Pain Research in Primary Care
  • Conference lecture
    Meisingset, Ingebrigt; Granviken, Fredrik; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth; Simpson, Melanie Rae; Hill, Jonathan C.; Windt, Danielle van der; Vasseljen, Ottar. (2023) Advancing from stratified to personalized AI-based management of MSK patients in Norwegian primary care. EFIC
  • Lecture
    Veiga, Tiago; Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin. (2023) Container-Based IoT Architectures: Use Case for Visual Person Counting. 5th Symposium of the Norwegian AI Society
  • Conference lecture
    Bach, Kerstin; Tessem, Bjørnar. (2023) Nordic Seminar on eXplainable AI (XAI). 2-day Workshop on eXplainable AI (XAI)
  • Lecture
    Gulla, Jon Atle; Bach, Kerstin. (2023) Student information about NorwAI. BRAIN Lunch seminar

2022

  • Conference lecture
    Bach, Kerstin. (2022) AI in Healthcare: An Interdisciplinary Journey by Kerstin Bach. AI Agora Seminar Series
  • Lecture
    Bach, Kerstin. (2022) XAI in Healthcare. Experts in Teams
  • Conference poster
    Ustad, Astrid; Trollebø, Stine Øverengen; Logacjov, Aleksej; Bach, Kerstin; Vereijken, Egberta; Maroni, Nina Skjæret. (2022) Classification of daily physical behavior in older adults using machine learning. International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM)
  • Conference poster
    Bayrak, Betül; Marin Veites, Paola; Bach, Kerstin. (2022) Explaining Black-Box Models: Using a Multi-agent CBR System. NorwAIInnovate 2022
  • Conference poster
    Granviken, Fredrik; Vasseljen, Ottar; Bach, Kerstin; Jaiswal, Amar; Bones, Anita Formo; Meisingset, Ingebrigt. (2022) Personalized physiotherapy treatment for musculoskeletal disorders (SupportPrim). Regional digital forskningskonferanse i Helse Midt-Norge 2022
  • Conference poster
    Ustad, Astrid; Trollebø, Stine Øverengen; Logacjov, Aleksej; Bach, Kerstin; Vereijken, Egberta; Maroni, Nina Skjæret. (2022) Classification of daily physical behavior using raw accelerometry in older adults: A validation study. The ISPGR World Congress
  • Lecture
    Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth. (2022) Evaluering av brukervennlighet og aksept for et digitalt beslutningsstøttesystem ved muskel- og skjelettplager (SupportPrim). MUSS konferansen 2022
  • Conference lecture
    Bach, Kerstin. (2022) The new research center NorwAI in Trondheim - business-oriented research and innovation under the leadership of NTNU and Sintef. Regional digital forskningskonferanse i Helse Midt-Norge RHF 2022
  • Contribution to radio or TV
    Bach, Kerstin. (2022) Innovasjonsfrokost: Framtidens helseteknologi by Trondheim Tech Port.
  • Lecture
    Granviken, Fredrik; Meisingset, Ingebrigt; Bach, Kerstin; Jaiswal, Amar; Klevanger, Nina Elisabeth; Bones, Anita Formo; Vasseljen, Ottar. (2022) Personalized physiotherapy treatment for musculoskeletal disorders. Høstmøte Primærhelstjenesteforskning 2022
  • Lecture
    Bach, Kerstin. (2022) NorwAI: presentation of the research center. BRAIN Interactive Talks

2021

  • Conference lecture
    Bach, Kerstin. (2021) Data-driven Knowledge Engineering for CBR Systems. Artificial Intelligence & Knowledge Engineering 2021
  • Conference lecture
    Bach, Kerstin. (2021) Developing Digital Healthcare Interventions using Case-Based Reasoning. International Conference on Case-Based Reasoning 2021
  • Interview
    Ho-Yen, Victoria Cicely Dørheim; Bach, Kerstin. (2021) Har vi en grunn til å frykte kunstig intelligens?.

2020

  • Lecture
    Sandal, Louise Fleng; Nordstoga, Anne Lovise; Wood, Karen; Bach, Kerstin; Hartvigsen, Jan; Søgaard, Karen; Mork, Paul Jarle. (2020) En pilotstudie av et digitalt beslutningsstøttesystem (SELFBACK) rettet mot å bedre og støtte selvhåndtering av ryggsmerter. 9. Nasjonale forskningskonferanse innen muskelskjeletthelse 2020
  • Lecture
    Sandal, Louise Fleng; Nordstoga, Anne Lovise; Wood, Karen; Bach, Kerstin; Hartvigsen, Jan; Søgaard, Karen; Mork, Paul Jarle. (2020) En pilotstudie av et digitalt beslutningsstøttesystem (SELFBACK) rettet mot å bedre og støtte selvhåndtering av ryggsmerter. 9. Nasjonale forskningskonferanse innen muskelskjeletthelse 2020

2019

  • Conference poster
    Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning (Poster). International Conference on Internet of Things (IoT2019)

2018

  • Conference lecture
    Bach, Kerstin. (2018) Personalized Self-Management: A Case-Based Reasoning Application for Low Back Pain Patients. LWDA 2018: Learning, Knowledge, Data, Analytics
  • Conference lecture
    Bach, Kerstin; Bunescu, Razvan; Farri, Oladimeji; Guo, Aili; Hasan, Sadid; Ibrahim, Zina M.; Marling, Cindy; Rubin, Jonathan; Wu, Honghan. (2018) The 3rd International Workshop on Knowledge Discovery in Healthcare Data. IJCAI-ECAI 2018
  • Conference lecture
    Bach, Kerstin. (2018) Temporal reasoning in the selfBACK project. RATIC 2018: Workshop on Reasoning about Time in CBR
  • Conference lecture
    Engin, Harun Kursat; Nadim, Farrokh; Carotenuto, Pasquale; Bach, Kerstin. (2018) Estimation of Pile Capacities Using Case-Based Reasoning (CBR) Method. 4th International Symposium on Computational Geomechanics
  • Conference lecture
    Bach, Kerstin. (2018) Applying Machine Learning Techniques for Human Activity Recognition from Accelerometer Data. Nordic Seminar on Technical Measurements of Physical Activity and Sedentary Behaviour
  • Conference poster
    Bardal, Ellen Marie; Brændvik, Siri Merete; Bach, Kerstin; Roeleveld, Karin. (2018) Identifisering og evaluering av aktivitet hos barn med cerebral parese. Fysioterapikongressen 2018

2017

  • Lecture
    Bach, Kerstin; Prestmo, Tale; Aamodt, Agnar; Mork, Paul Jarle. (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. Workshop week “Lernen, Wissen, Daten, Analysen” (“Learning, Knowledge, Data, Analytics”)
  • Conference lecture
    Skjold, Kari Fosshaug; Øynes, Marthe Sofie; Bach, Kerstin; Aamodt, Agnar. (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. Computer Cooking Contest at ICCBR 2017
  • Conference lecture
    Prestmo, Tale; Bach, Kerstin; Aamodt, Agnar; Mork, Paul Jarle. (2017) Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. International Conference on Case-Based Reasoning

2016

  • Conference lecture
    Bardal, Ellen Marie; Brændvik, Siri Merete; Roeleveld, Karin; Bach, Kerstin. (2016) Bruk av akselerometer i evaluering av behandling av barn med cerebral parese. Skreddersydde løsninger for fremtiden. Ortopedisk høstmøte
  • Conference lecture
    Sizov, Gleb; Öztürk, Pinar; Bach, Kerstin. (2016) Evaluation of Explanations Extracted from Textual Reports. The Twenty-Ninth International Flairs Conference

2014

  • Conference lecture
    Bach, Kerstin; Sauer, Christian Severin; Althoff, Klaus-Dieter; Roth-Berghofer, Thomas R.. (2014) Knowledge Modeling with the Open Source Tool myCBR. 10th Workshop on Knowledge Engineering and Software Engineering

2013

  • Conference lecture
    Reuss, Pascal; Bach, Kerstin; Althoff, Klaus-Dieter. (2013) Dynamic retrieval of heterogeneous knowledge sources in a multi-agent system. Conference on Professional Knowledge Management (WM-2013)
  • Conference lecture
    Bach, Kerstin; Althoff, Klaus-Dieter. (2013) Model-based Classification of Unstructured Data Sources. ICCBR Workshop on Case-Based Reasoning in the Health Sciences (CBR-HS-13)

2012

  • Conference lecture
    Bach, Kerstin; Althoff, Klaus-Dieter. (2012) Developing Case-Based Reasoning Applications Using myCBR 3. International Conference on Case-Based Reasoning (ICCBR-12)

2011

  • Conference lecture
    Bach, Kerstin; Althoff, Klaus-Dieter; Newo, Regis; Stahl, Armin. (2011) A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. International Conference on Case-Based Reasoning (ICCBR-11)

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