Kerstin Bach
Background and activities
Kerstin is an associate 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 are 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-intesive decisions using heterogenous 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:
- 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)
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
2022
- (2022) Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI International Joint Conference on Artificial Intelligence.
- (2022) Performance of machine learning models in estimation of ground reaction forces during balance exergaming. Journal of NeuroEngineering and Rehabilitation. vol. 19 (18).
2021
- (2021) A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living. Journal for the Measurement of Physical Behaviour (JMPB). vol. 5 (1).
- (2021) Fallbasiertes Schließen. Handbuch der Künstlichen Intelligenz.
- (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. vol. 181 (10).
- (2021) Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. Case-Based Reasoning Research and Development.
- (2021) Harth: A human activity recognition dataset for machine learning. Sensors. vol. 21 (23).
- (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. vol. 11 (9).
- (2021) Using extended siamese networks to provide decision support in aquaculture operations. Applied intelligence (Boston).
- (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. vol. 21 (23).
- (2021) Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS).
- (2021) From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors. vol. 21 (9).
- (2021) Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics. vol. 8 (3).
- (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.
- (2021) Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Transactions on Human-Machine Systems. vol. 51 (3).
2020
- (2020) The 27th International Conference on Case-Based Reasoning. The AI Magazine. vol. 41 (1).
- (2020) On the Use of Air Quality Microsensors for Supporting Decision Makers. IoT '20 Companion: 10th International Conference on the Internet of Things Companion.
- (2020) On the Explanation of Similarity for Developing and Deploying CBR Systems. Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference.
- (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).
- (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
- (2020) Usability and Acceptability of an App (SELFBACK) to Support Self-Management of Low Back Pain: Mixed Methods Study. JMIR Rehabilitation and Assistive Technologies. vol. 7 (2).
- (2020) App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation. JMIR Research Protocols. vol. 9 (10).
- (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. vol. 6 (72).
- (2020) Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. Proceedings of the 12th International Conference on Agents and Artificial Intelligence - (Volume 2).
- (2020) Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors. vol. 20 (23).
- (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.
2019
- (2019) Case-Based Reasoning Research and Development. Springer. 2019. ISBN 978-3-030-29248-5. Lecture Notes in Computer Science (11680).
- (2019) Demonstrating the myCBR Rest API. CEUR Workshop Proceedings. vol. 2567.
- (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).
- (2019) A Data-Driven Approach for Determining Weights in Global Similarity Functions. Lecture Notes in Computer Science (LNCS). vol. 11680.
- (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.
- (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.
- (2019) Learning similarity measures from data. Progress in Artificial Intelligence.
- (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).
- (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.
- (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. vol. 8 (12).
- (2019) Similarity measure development for case-based reasoning-a data-driven approach. Communications in Computer and Information Science. vol. 1056 CCIS.
2018
- (2018) The 25th International Conference on Case-Based Reasoning. The AI Magazine. vol. 39 (2).
- (2018) From data to context-aware decision making: Challenges and opportunities. CEUR Workshop Proceedings. vol. 2166.
- (2018) Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge and Software Engineering.
- (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.
- (2018) The 3rd International Workshop on Knowledge Discovery in Healthcare Data. IJCAI-ECAI 2018 ; Stockholm. 2018-07-13 - 2018-07-13.
- (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.
- (2018) Estimation of Pile Capacities Using Case-Based Reasoning (CBR) Method. 4th International Symposium on Computational Geomechanics ; Assisi. 2018-05-02 - 2018-05-04.
- (2018) A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project. Journal of Medical Internet Research. vol. 7 (7).
- (2018) Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. Lecture Notes in Computer Science (LNCS). vol. 11156 LNAI.
- (2018) Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. Lecture Notes in Computer Science (LNCS). vol. 11156 LNAI.
- (2018) Classification of movement quality in a weight-shifting exercise. CEUR Workshop Proceedings. vol. 2148.
- (2018) P 119 - Machine learning as a tool to ensure movement quality in balance training exergames. Gait & Posture. vol. 65.
2017
- (2017) Diversity of Exercise Plans using Evolutionary Inspired Adaptation. CEUR Workshop Proceedings. vol. 1917.
- (2017) Evolutionary inspired adaptation of exercise plans for increasing solution variety. Lecture Notes in Computer Science (LNCS). vol. 10339 LNAI.
- (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.
2016
- (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science (LNCS). vol. 9969 LNCS.
- (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
- (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
- (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.
- (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
- (2012) Knowledge Acquisition for Case-Based Reasoning Systems. 2012. ISBN 978-3-8439-1357-7.
- (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
- (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.