Kerstin Bach

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 68

Top Venues

Heidelberg University (PHD)

Education History

Heidelberg University

PHD

Publications

Aleksej Logacjov, Kerstin Bach
Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. Eng. Appl. Artif. Intell. 128 (2024)
Stuart Gallina Ottersen, Kerstin Bach
Automatic Adjusting Global Similarity Measures in Learning CBR Systems. ICCBR (2024)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Gener. Comput. Syst. 156 (2024)
Aleksej Logacjov, Sverre Herland, Astrid Ustad, Kerstin Bach
SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. Appl. Intell. 54 (6) (2024)
Sverre Herland, Kerstin Bach, Ekrem Misimi
6-DoF Closed-Loop Grasping with Reinforcement Learning. ICRA (2024)
Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger
Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach
Container-Based IoT Architectures: Use Case for Visual Person Counting. NAIS (2023)
Astrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, Pernille Thingstad, Beatrix Vereijken, Kerstin Bach, Nina Skjæret-Maroni
Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors 23 (5) (2023)
Frank Alexander Kraemer, Hafiz Areeb Asad, Kerstin Bach, Bernd-Christian Renner
Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access 11 (2023)
Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach
Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Gener. Comput. Syst. 142 (2023)
Betül Bayrak, Kerstin Bach
A Twin XCBR System Using Supportive and Contrastive Explanations. ICCBR Workshops (2023)
Betül Bayrak, Kerstin Bach
PertCF: A Perturbation-Based Counterfactual Generation Approach. SGAI Conf. (2023)
Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. ECAI (2023)
Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner
Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. SenSys (2023)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. Int. J. Medical Informatics 170 (2023)
Sverre Herland, Kerstin Bach
Vessel-to-Vessel Motion Compensation with Reinforcement Learning. AAAI (2023)
Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner, Tiago Santos Veiga
Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS (2022)
Paola Marín-Veites, Kerstin Bach
Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. ICCBR (2022)
Betül Bayrak, Paola Marín-Veites, Kerstin Bach
Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. ICCBR Workshops (2022)
Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI (2022)
Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork, Wendy Oude Nijeweme d'Hollosy
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Tiago Veiga, Arne Munch-Ellingsen, Christoforos Papastergiopoulos, Dimitrios Tzovaras, Ilias Kalamaras, Kerstin Bach, Konstantinos Votis, Sigmund Akselsen
From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors 21 (9) (2021)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. SGAI Conf. (2021)
Aleksej Logacjov, Kerstin Bach, Atle Kongsvold, Hilde Bremseth Bårdstu, Paul Jarle Mork
HARTH: A Human Activity Recognition Dataset for Machine Learning. Sensors 21 (23) (2021)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics 8 (3) (2021)
Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. COINS (2021)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors 21 (23) (2021)
Elise Klæbo Vonstad, Beatrix Vereijken, Kerstin Bach, Xiaomeng Su, Jan Harald Nilsen
Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Trans. Hum. Mach. Syst. 51 (3) (2021)
Kerstin Bach, Paul Jarle Mork
On the Explanation of Similarity for Developing and Deploying CBR Systems. CoRR (2021)
Bjørn Magnus Mathisen, Kerstin Bach, Agnar Aamodt
Using extended siamese networks to provide decision support in aquaculture operations. Appl. Intell. 51 (11) (2021)
Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. CoRR (2021)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. CoRR (2021)
Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. ICCBR (2021)
Kerstin Bach, Paul Jarle Mork
On the Explanation of Similarity for Developing and Deploying CBR Systems. FLAIRS Conference (2020)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Information-driven adaptive sensing based on deep reinforcement learning. IOT (2020)
Kerstin Bach, Sigmund Akselsen, Tiago Veiga, Ilias Kalamaras
On the Use of Air Quality Microsensors for Supporting Decision Makers. IOT Companion (2020)
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth
Learning similarity measures from data. CoRR (2020)
Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Kerstin Bach, Jan Harald Nilsen
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors 20 (23) (2020)
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth
Learning similarity measures from data. Prog. Artif. Intell. 9 (2) (2020)
Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
FishNet: A Unified Embedding for Salmon Recognition. CoRR (2020)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. CoRR (2020)
Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach
Learning to Recognise Exercises in the Self-Management of Low Back Pain. FLAIRS Conference (2020)
Klaus-Dieter Althoff, Kerstin Bach, Ralph Bergmann, Cindy Marling
The 27th International Conference on Case-Based Reasoning. AI Mag. 41 (1) (2020)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. ICAART (2) (2020)
Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
FishNet: A Unified Embedding for Salmon Recognition. ECAI (2020)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. SASO (2019)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach. NAIS (2019)
Amar Jaiswal, Kerstin Bach
A Data-Driven Approach for Determining Weights in Global Similarity Functions. ICCBR (2019)
Kerstin Bach, Bjørn Magnus Mathisen, Amar Jaiswal
Demonstrating the myCBR Rest API. ICCBR Workshops (2019)
Ilias Kalamaras, Ioannis Xygonakis, Konstantinos Glykos, Sigmund Akselsen, Arne Munch-Ellingsen, Hai Thanh Nguyen, Andreas Jacobsen Lepperod, Kerstin Bach, Konstantinos Votis, Dimitrios Tzovaras
Visual analytics for exploring air quality data in an AI-enhanced IoT environment. MEDES (2019)
Kerstin Bach
Workshop preface. ICCBR Workshops (2019)
Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. IOT (2019)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach. CoRR (2019)
Kerstin Bach, Cindy Marling, Paul Jarle Mork, Agnar Aamodt, Frances S. Mair, Barbara I. Nicholl
Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. J. Intell. Inf. Syst. 52 (2) (2019)
Amar Jaiswal, Kerstin Bach, Ingebrigt Meisingset, Ottar Vasseljen
Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. FLAIRS Conference (2019)
Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. CoRR (2019)
Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach
Cassification of Movement Quality in A Weight-shifting Exercise. KHD@IJCAI (2018)
Hoda Nikpour, Agnar Aamodt, Kerstin Bach
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. ICCBR (2018)
Kerstin Bach
From Data to Context Aware Decision Making Challenges and Opportunities. AfCAI (2018)
David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber
The 25th International Conference on Case-Based Reasoning. AI Mag. 39 (2) (2018)
Deepika Verma, Kerstin Bach, Paul Jarle Mork
Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. ICCBR (2018)
Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. ICCBR (2017)
Kari Skjold, Marthe Øynes, Kerstin Bach, Agnar Aamodt
IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. ICCBR (Workshops) (2017)
Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
Case Representation and Similarity Assessment in the selfBACK Decision Support System. ICCBR (2016)
Gleb Sizov, Pinar Öztürk, Kerstin Bach
Evaluation of Explanations Extracted from Textual Reports. FLAIRS Conference (2016)
Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
Case Representation and Similarity Assessment in the selfBACK Decision Support System. LWDA (2016)
Kerstin Bach, Paul Jarle Mork, Agnar Aamodt
Can Data-driven Self-Management Reduce Low Back Pain? ERCIM News 2016 (104) (2016)
Tomasz Szczepanski, Kerstin Bach, Agnar Aamodt
Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data. ICCBR Workshops (2016)
Kerstin Bach, Odd Erik Gundersen, Christian Knappskog, Pinar Öztürk
Automatic Case Capturing for Problematic Drilling Situations. ICCBR (2014)
Kerstin Bach, Christian Severin Sauer, Klaus-Dieter Althoff, Thomas Roth-Berghofer
Knowledge Modeling with the Open Source Tool myCBR. KESE@ECAI (2014)
Neela Enke, Anne E. Thessen, Kerstin Bach, Jörg Bendix, Bernhard Seeger, Birgit Gemeinholzer
The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -. Ecol. Informatics 11 (2012)
Kerstin Bach, Klaus-Dieter Althoff
Developing Case-Based Reasoning Applications Using myCBR 3. ICCBR (2012)
Kerstin Bach, Daniel Schäfer, Neela Enke, Bernhard Seeger, Birgit Gemeinholzer, Jörg Bendix
A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecol. Informatics 11 (2012)
Kerstin Bach, Klaus-Dieter Althoff, Régis Newo, Armin Stahl
A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. ICCBR (2011)
Thomas Roth-Berghofer, Christian Severin Sauer, Klaus-Dieter Althoff, Kerstin Bach, Régis Newo
SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities. LWA (2011)
Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff
Knowledge engineering within the application-independent architecture SEASALT. Int. J. Knowl. Eng. Data Min. 1 (3) (2011)
Kerstin Bach, Thomas Roth-Berghofer
GWEM 2011 - German Workshop on Experience Management. Wissensmanagement (2011)
Kerstin Bach, Pascal Reuss, Klaus-Dieter Althoff
Case-Based Menu Creation as an Example of Individualized Experience Management. Wissensmanagement (2011)
Régis Newo, Kerstin Bach, Klaus-Dieter Althoff
Knowledge Acquisition for Simulating Complex Psychological Processes. KESE (2010)
Christian Severin Sauer, Kerstin Bach, Klaus-Dieter Althoff
Integration of Linked Open Data in Case-Based Reasoning Systems. LWA (2010)
Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff
The SEASALT Architecture and Its Realization within the docQuery Project. KI (2009)
Klaus-Dieter Althoff, Kerstin Bach
Interview with Pádraig Cunningham and Barry Smyth. Künstliche Intell. 23 (1) (2009)
Kerstin Bach, Meike Reichle
MATES 2008. Künstliche Intell. 23 (1) (2009)
Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
A Value Supplementation Method for Case Bases with Incomplete Information. ICCBR (2009)
Ralph Bergmann, Klaus-Dieter Althoff, Mirjam Minor, Meike Reichle, Kerstin Bach
Case-Based Reasoning. Künstliche Intell. 23 (1) (2009)
Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff
Management of Distributed Knowledge Sources for Complex Application Domains. Wissensmanagement (2009)
Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff
Management of Distributed Knowledge Sources for Complex Application Domains. LWA (2009)
Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo
CookIIS - Competing in the First Computer Cooking Contest. Künstliche Intell. 23 (1) (2009)
Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo, Jens Mänz
Realising a CBR-based approach for Computer Cooking Contest with e: IAS. ECCBR Workshops (2008)
Meike Reichle, Kerstin Bach
Improving Result Adaptation through 2-step Retrieval. KESE (2008)
Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis
Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops (2008)
Klaus-Dieter Althoff, Kerstin Bach, Meike Reichle
Realizing Modularized Knowledge Models for Heterogeneous Application Domains. ICDM (2008)
Kerstin Bach, Alexandre Hanft
TCR - Textual Coverage Rate. LWA (2007)
Klaus-Dieter Althoff, Kerstin Bach, Jan-Oliver Deutsch, Alexandre Hanft, Jens Mänz, Thomas Müller, Régis Newo, Meike Reichle, Martin Schaaf, Karl-Heinz Weis
Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems. KESE (2007)
Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
A Domain Independent System Architecture for Sharing Experience. LWA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kerstin Bach