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Norsk

Kerstin Bach

Kerstin Bach

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

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

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 program manager of the NorwAI research center, deputy head of the Data and Artificial Intelligence group and part of the Norwegian Open AI Lab. 
Kerstin was awarded her PhD in Computer Science from the University of Hildesheim, Germany. Her main research interest are data-driven decision support systems as well as knowledge-intensive Case-Based Reasoning. She is the chair of the German Society for Computer Science's Special Interest Group on Knowledge Management and a board member of the Norwegian AI society.
 
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 the project manager of the selfBACK EU project that developed an e-Health application for low back pain patients.
She enjoys discussing AI methodologies and applications with fellow researchers, but more importantly teaching it to students and bringing it into multidisciplinary projects and thereby shaping the new digital world.
 
In particular, we are applying methods from the following research fields:
  • Case-Based Reasoning
  • Decision Support Systems
  • Information Extraction and Knowledge Engineering
Research Group: Data and Artificial Intelligence
 
Projects:
  • SupportPrim - Using AI for treatment planning of musculoskeletal pain (2020-2024)
  • SmaRTWork - a digital system for personalised return to work recommendations for sick-listed with musculoskeletal disorders (2021 - 2027)
  • Exaigon - Explainable AI systems for gradual industry adoption (2020 - 2024)
  • AI4EU - An AI-on-demand platform for Europe (partner, H2020, 2019 – 2021)
  • selfBACK - A decision support system for self-management of low back pain (project manager, H2020, 2016-2021)
  • Back-UP - Personalised Prognostic Models to Improve Well-being and Return to Work After Neck and Low Back Pain (task leader, H2020, 2018 – 2021)

Competencies

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

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2022

  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Christian; Veiga, Tiago Santos. (2022) Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent Systems.
    Academic chapter/article
  • 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
  • Marin Veites, Paola; Bach, Kerstin. (2022) Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. Case-Based Reasoning Research and Development. ICCBR 2022.
    Academic chapter/article
  • Verma, Deepika; Jansen, Duncan; Bach, Kerstin; Poel, Mannes; Mork, Paul Jarle; Oude Nijeweme d’Hollosy, Wendy. (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. volum 22 (1).
    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. volum 19 (18).
    Academic article

2021

  • 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). volum 5 (1).
    Academic article
  • Bergmann, Ralph; Minor, Mirjam; Bach, Kerstin; Althoff, Klaus-Dieter; Munoz-Avila, Hector. (2021) Fallbasiertes Schließen. Handbuch der Künstlichen Intelligenz.
    Chapter
  • Fleng Sandal, Louise; Bach, Kerstin; Øverås, Cecilie K.; Jagd Svendsen, Malene; Dalager, Tina; Stejnicher Drongstrup Jensen, Jesper; Kongsvold, Atle Austnes; Nordstoga, Anne Lovise; Bardal, Ellen Marie; Ashikhmin, Ilya; Wood, Karen; Rasmussen, Charlotte Diana Nørregaard; Stochkendahl, Mette J; Nicholl, Barbara I; Wiratunga, Nirmalie; Cooper, Kay; Hartvigsen, Jan; Kjaer, Per; Sjøgaard, Gisela; Nilsen, Tom Ivar Lund; Mair, Frances S; Søgaard, Karen; Mork, Paul Jarle. (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. volum 181 (10).
    Academic article
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. Case-Based Reasoning Research and Development.
    Academic chapter/article
  • Logacjov, Aleksej; Bach, Kerstin; Kongsvold, Atle; Bårdstu, Hilde Bremseth; Mork, Paul Jarle. (2021) Harth: A human activity recognition dataset for machine learning. Sensors. volum 21 (23).
    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; Aasdahl, Lene; Kaspersen, Silje Lill; Bardal, Ellen Marie; Børke, Janne-Birgitte; Mork, Paul Jarle; Gismervik, Sigmund Østgård. (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. volum 11 (9).
    Academic article
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar. (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied intelligence (Boston).
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. volum 21 (23).
    Academic article
  • Veiga, Tiago Santos; Ljunggren, Erling; Bach, Kerstin; Akselsen, Sigmund. (2021) Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS).
    Academic chapter/article
  • Veiga, Tiago Santos; 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. volum 21 (9).
    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. volum 8 (3).
    Academic article
  • 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. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence.
    Academic chapter/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. volum 51 (3).
    Academic article

2020

  • Althoff, Klaus-Dieter; Bach, Kerstin; Bergmann, Ralph; Marling, Cindy. (2020) The 27th International Conference on Case-Based Reasoning. The AI Magazine. volum 41 (1).
    Short communication
  • Bach, Kerstin; Akselsen, Sigmund; Veiga, Tiago Santos; Kalamaras, Ilias. (2020) On the Use of Air Quality Microsensors for Supporting Decision Makers. IoT '20 Companion: 10th International Conference on the Internet of Things Companion.
    Academic chapter/article
  • Bach, Kerstin; Mork, Paul Jarle. (2020) On the Explanation of Similarity for Developing and Deploying CBR Systems. Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.
    Academic chapter/article
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner. (2020) FishNet: A Unified Embedding for Salmon Recognition. 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).
    Academic chapter/article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
    Academic chapter/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. volum 7 (2).
    Academic article
  • Nørregaard Rasmussen, Charlotte Diana; Jagd Svendsen, Malene; Wood, Karen; Nicholl, Barbara I; Mair, Frances S; Fleng Sandal, Louise; Mork, Paul Jarle; Søgaard, Karen; Bach, Kerstin; Jensen Stochkendahl, Mette. (2020) App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols. volum 9 (10).
    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. BMC Pilot and Feasibility Studies. volum 6 (72).
    Academic article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2020) Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. Proceedings of the 12th International Conference on Agents and Artificial Intelligence - (Volume 2).
    Academic chapter/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. volum 20 (23).
    Academic article
  • Wijekoon, Anjana; Wiratunga, Nirmalie; Cooper, Kay; Bach, Kerstin. (2020) Learning to Recognise Exercises in the Self-Management of Low Back Pain. Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.
    Academic chapter/article

2019

  • Bach, Kerstin; Marling, Cindy. (2019) Case-Based Reasoning Research and Development. Springer. 2019. ISBN 978-3-030-29248-5. Lecture Notes in Computer Science (11680).
    Scientific anthology
  • Bach, Kerstin; Mathisen, Bjørn Magnus; Jaiswal, Amar Deep. (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings. volum 2567.
    Academic article
  • Bach, Kerstin; Ruocco, Massimiliano. (2019) Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. 2019. ISBN 978-3-030-35663-7. Communications in Computer and Information Science (1056).
    Scientific anthology
  • Jaiswal, Amar Deep; Bach, Kerstin. (2019) A Data-Driven Approach for Determining Weights in Global Similarity Functions. Lecture Notes in Computer Science (LNCS). volum 11680.
    Academic article
  • 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. 2019. ISBN 978-1-57735-805-3.
    Scientific anthology
  • Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios. (2019) Visual analytics for exploring air quality data in an AI-enhanced IoT environment. MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems.
    Academic chapter/article
  • Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin. (2019) Learning similarity measures from data. Progress in Artificial Intelligence.
    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. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
    Academic chapter/article
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. 9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
    Academic chapter/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; Kjaer, Per; Mair, Frances; Sjøgaard, Gisela; Nilsen, Tom Ivar Lund; Hartvigsen, Jan; Bach, Kerstin; Mork, Paul Jarle; Søgaard, Karen. (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. volum 8 (12).
    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. volum 1056 CCIS.
    Academic article

2018

  • Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean. (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine. volum 39 (2).
    Academic article
  • Bach, Kerstin. (2018) From data to context-aware decision making: Challenges and opportunities. CEUR Workshop Proceedings. volum 2166.
    Academic article
  • Bach, Kerstin. (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge and Software Engineering.
    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
  • 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. volum 7 (7).
    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). volum 11156 LNAI.
    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). volum 11156 LNAI.
    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. volum 2148.
    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. volum 65.
    Short communication

2017

  • Bach, Kerstin; Prestmo, Tale; Aamodt, Agnar; Mork, Paul Jarle. (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. CEUR Workshop Proceedings. volum 1917.
    Summary/Abstract
  • 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). volum 10339 LNAI.
    Academic article
  • Skjold, Kari Fosshaug; Øynes, Marthe Sofie; Bach, Kerstin; Aamodt, Agnar. (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. The Twenty-Fifth International Conference on Case-Based Reasoning (ICCBR 2017) Workshop Proceedings.
    Academic chapter/article

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). volum 9969 LNCS.
    Academic article

2012

  • Bach, Kerstin. (2012) Knowledge Acquisition for Case-Based Reasoning Systems. 2012. ISBN 978-3-8439-1357-7.
    PhD thesis

Scientific articles

  • 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; Oude Nijeweme d’Hollosy, Wendy. (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. volum 22 (1).
    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. volum 19 (18).
    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). volum 5 (1).
    Academic article
  • Fleng Sandal, Louise; Bach, Kerstin; Øverås, Cecilie K.; Jagd Svendsen, Malene; Dalager, Tina; Stejnicher Drongstrup Jensen, Jesper; Kongsvold, Atle Austnes; Nordstoga, Anne Lovise; Bardal, Ellen Marie; Ashikhmin, Ilya; Wood, Karen; Rasmussen, Charlotte Diana Nørregaard; Stochkendahl, Mette J; Nicholl, Barbara I; Wiratunga, Nirmalie; Cooper, Kay; Hartvigsen, Jan; Kjaer, Per; Sjøgaard, Gisela; Nilsen, Tom Ivar Lund; Mair, Frances S; Søgaard, Karen; Mork, Paul Jarle. (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. volum 181 (10).
    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. volum 21 (23).
    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; Aasdahl, Lene; Kaspersen, Silje Lill; Bardal, Ellen Marie; Børke, Janne-Birgitte; Mork, Paul Jarle; Gismervik, Sigmund Østgård. (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. volum 11 (9).
    Academic article
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar. (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied intelligence (Boston).
    Academic article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. volum 21 (23).
    Academic article
  • Veiga, Tiago Santos; 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. volum 21 (9).
    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. volum 8 (3).
    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. volum 51 (3).
    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. volum 7 (2).
    Academic article
  • Nørregaard Rasmussen, Charlotte Diana; Jagd Svendsen, Malene; Wood, Karen; Nicholl, Barbara I; Mair, Frances S; Fleng Sandal, Louise; Mork, Paul Jarle; Søgaard, Karen; Bach, Kerstin; Jensen Stochkendahl, Mette. (2020) App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols. volum 9 (10).
    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. BMC Pilot and Feasibility Studies. volum 6 (72).
    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. volum 20 (23).
    Academic article
  • Bach, Kerstin; Mathisen, Bjørn Magnus; Jaiswal, Amar Deep. (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings. volum 2567.
    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). volum 11680.
    Academic article
  • 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; Kjaer, Per; Mair, Frances; Sjøgaard, Gisela; Nilsen, Tom Ivar Lund; Hartvigsen, Jan; Bach, Kerstin; Mork, Paul Jarle; Søgaard, Karen. (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. volum 8 (12).
    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. volum 1056 CCIS.
    Academic article
  • Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean. (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine. volum 39 (2).
    Academic article
  • Bach, Kerstin. (2018) From data to context-aware decision making: Challenges and opportunities. CEUR Workshop Proceedings. volum 2166.
    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
  • 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. volum 7 (7).
    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). volum 11156 LNAI.
    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). volum 11156 LNAI.
    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. volum 2148.
    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). volum 10339 LNAI.
    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). volum 9969 LNCS.
    Academic article

Journal publications

  • Althoff, Klaus-Dieter; Bach, Kerstin; Bergmann, Ralph; Marling, Cindy. (2020) The 27th International Conference on Case-Based Reasoning. The AI Magazine. volum 41 (1).
    Short communication
  • 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. volum 65.
    Short communication
  • Bach, Kerstin; Prestmo, Tale; Aamodt, Agnar; Mork, Paul Jarle. (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. CEUR Workshop Proceedings. volum 1917.
    Summary/Abstract

Books

  • Bach, Kerstin; Marling, Cindy. (2019) Case-Based Reasoning Research and Development. Springer. 2019. ISBN 978-3-030-29248-5. Lecture Notes in Computer Science (11680).
    Scientific anthology
  • Bach, Kerstin; Ruocco, Massimiliano. (2019) Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. 2019. ISBN 978-3-030-35663-7. Communications in Computer and Information Science (1056).
    Scientific 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. 2019. ISBN 978-1-57735-805-3.
    Scientific anthology

Part of book/report

  • Asad, Hafiz Areeb; Kraemer, Frank Alexander; Bach, Kerstin; Renner, Christian; Veiga, Tiago Santos. (2022) Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent Systems.
    Academic chapter/article
  • Marin Veites, Paola; Bach, Kerstin. (2022) Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. Case-Based Reasoning Research and Development. ICCBR 2022.
    Academic chapter/article
  • Bergmann, Ralph; Minor, Mirjam; Bach, Kerstin; Althoff, Klaus-Dieter; Munoz-Avila, Hector. (2021) Fallbasiertes Schließen. Handbuch der Künstlichen Intelligenz.
    Chapter
  • Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin. (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. Case-Based Reasoning Research and Development.
    Academic chapter/article
  • Veiga, Tiago Santos; Ljunggren, Erling; Bach, Kerstin; Akselsen, Sigmund. (2021) Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS).
    Academic chapter/article
  • 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. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence.
    Academic chapter/article
  • Bach, Kerstin; Akselsen, Sigmund; Veiga, Tiago Santos; Kalamaras, Ilias. (2020) On the Use of Air Quality Microsensors for Supporting Decision Makers. IoT '20 Companion: 10th International Conference on the Internet of Things Companion.
    Academic chapter/article
  • Bach, Kerstin; Mork, Paul Jarle. (2020) On the Explanation of Similarity for Developing and Deploying CBR Systems. Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.
    Academic chapter/article
  • Mathisen, Bjørn Magnus; Bach, Kerstin; Meidell, Espen; Måløy, Håkon; Sjøblom, Edvard Schreiner. (2020) FishNet: A Unified Embedding for Salmon Recognition. 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, Santiago de Compostela, Spain – Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).
    Academic chapter/article
  • Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
    Academic chapter/article
  • Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle. (2020) Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. Proceedings of the 12th International Conference on Agents and Artificial Intelligence - (Volume 2).
    Academic chapter/article
  • Wijekoon, Anjana; Wiratunga, Nirmalie; Cooper, Kay; Bach, Kerstin. (2020) Learning to Recognise Exercises in the Self-Management of Low Back Pain. Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.
    Academic chapter/article
  • Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios. (2019) Visual analytics for exploring air quality data in an AI-enhanced IoT environment. MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems.
    Academic chapter/article
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
    Academic chapter/article
  • Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. 9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
    Academic chapter/article
  • Bach, Kerstin. (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge and Software Engineering.
    Chapter
  • Skjold, Kari Fosshaug; Øynes, Marthe Sofie; Bach, Kerstin; Aamodt, Agnar. (2017) IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. The Twenty-Fifth International Conference on Case-Based Reasoning (ICCBR 2017) Workshop Proceedings.
    Academic chapter/article

Report

  • Bach, Kerstin. (2012) Knowledge Acquisition for Case-Based Reasoning Systems. 2012. ISBN 978-3-8439-1357-7.
    PhD thesis

Teaching

Courses

  • TDT4173 - Machine Learning

Media

2022

  • 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 . Helse Midt-Norge; 2022-02-09 - 2022-02-09.

2018

  • Academic lecture
    Bach, Kerstin. (2018) Personalized Self-Management: A Case-Based Reasoning Application for Low Back Pain Patients. LWDA 2018: Learning, Knowledge, Data, Analytics . R Gemulla S P Ponzetto, C Bizer, M Keuper, H Stuckenschmidt; Mannheim. 2018-08-22 - 2018-08-24.
  • Academic 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 ; Stockholm. 2018-07-13 - 2018-07-13.
  • Academic 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 ; Assisi. 2018-05-02 - 2018-05-04.

2016

  • Academic lecture
    Sizov, Gleb; Öztürk, Pinar; Bach, Kerstin. (2016) Evaluation of Explanations Extracted from Textual Reports. The Twenty-Ninth International Flairs Conference ; Hilton Key Largo Resort. 2016-06-16 - 2016-06-18.

2014

  • Academic 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 . Nalepa, G. J., Baumeister, J. and Kaczor, K.; Prague. 2014-08-19 - 2014-08-19.

2013

  • Academic 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) . Isabelle Bichindaritz, Cindy Marling; Saragota Springs. 2013-07-08 - 2013-07-08.
  • Academic 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) . Franz Lehner; Passau. 2013-03-14 - 2013-03-15.

2012

  • Academic lecture
    Bach, Kerstin; Althoff, Klaus-Dieter. (2012) Developing Case-Based Reasoning Applications Using myCBR 3. International Conference on Case-Based Reasoning (ICCBR-12) . Ian Watson and Belen Diaz Agudo; Lyon. 2012-09-03 - 2012-09-06.

2011

  • Academic 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) . Ashwin Ram and Nirmalie Wiratunga; London. 2011-09-12 - 2011-09-15.
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