Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems. - Klaus-Dieter Althoff; Kerstin Bach; Jan-Oliver Deutsch; Alexandre Hanft; Jens Mänz; Thomas Müller; Régis Newo; Meike Reichle; Martin Schaaf; Karl-Heinz Weis (KESE, 2007)

TCR - Textual Coverage Rate. - Kerstin Bach; Alexandre Hanft (LWA, 2007)

A Domain Independent System Architecture for Sharing Experience. - Kerstin Bach; Meike Reichle; Klaus-Dieter Althoff (LWA, 2007)

Realising a CBR-based approach for Computer Cooking Contest with e: IAS. - Alexandre Hanft; Norman Ihle; Kerstin Bach; Régis Newo; Jens Mänz (ECCBR Workshops, 2008)

Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. - Eyke Hüllermeier; Michael M. Richter; Rosina Weber; Kerstin Bach; Miltos Petridis (ECCBR Workshops, 2008)

Realizing Modularized Knowledge Models for Heterogeneous Application Domains. - Klaus-Dieter Althoff; Kerstin Bach; Meike Reichle (ICDM, 2008)

Improving Result Adaptation through 2-step Retrieval. - Meike Reichle; Kerstin Bach (KESE, 2008)

A Value Supplementation Method for Case Bases with Incomplete Information. - Kerstin Bach; Meike Reichle; Klaus-Dieter Althoff (ICCBR, 2009)

The SEASALT Architecture and Its Realization within the docQuery Project. - Meike Reichle; Kerstin Bach; Klaus-Dieter Althoff (KI, 2009)

Management of Distributed Knowledge Sources for Complex Application Domains. - Meike Reichle; Kerstin Bach; Alexander Reichle-Schmehl; Klaus-Dieter Althoff (Wissensmanagement, 2009)

Interview with Pádraig Cunningham and Barry Smyth. - Klaus-Dieter Althoff; Kerstin Bach (Künstliche Intell., 2009)

MATES 2008. - Kerstin Bach; Meike Reichle (Künstliche Intell., 2009)

Case-Based Reasoning. - Ralph Bergmann; Klaus-Dieter Althoff; Mirjam Minor; Meike Reichle; Kerstin Bach (Künstliche Intell., 2009)

CookIIS - Competing in the First Computer Cooking Contest. - Alexandre Hanft; Norman Ihle; Kerstin Bach; Régis Newo (Künstliche Intell., 2009)

Knowledge Acquisition for Simulating Complex Psychological Processes. - Régis Newo; Kerstin Bach; Klaus-Dieter Althoff (KESE, 2010)

Integration of Linked Open Data in Case-Based Reasoning Systems. - Christian Severin Sauer; Kerstin Bach; Klaus-Dieter Althoff (LWA, 2010)

A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. - Kerstin Bach; Klaus-Dieter Althoff; Régis Newo; Armin Stahl (ICCBR, 2011)

SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities. - Thomas Roth-Berghofer; Christian Severin Sauer; Klaus-Dieter Althoff; Kerstin Bach; Régis Newo (LWA, 2011)

GWEM 2011 - German Workshop on Experience Management. - Kerstin Bach; Thomas Roth-Berghofer (Wissensmanagement, 2011)

Case-Based Menu Creation as an Example of Individualized Experience Management. - Kerstin Bach; Pascal Reuss; Klaus-Dieter Althoff (Wissensmanagement, 2011)

Knowledge engineering within the application-independent architecture SEASALT. - Meike Reichle; Kerstin Bach; Klaus-Dieter Althoff (Int. J. Knowl. Eng. Data Min., 2011)

Developing Case-Based Reasoning Applications Using myCBR 3. - Kerstin Bach; Klaus-Dieter Althoff (ICCBR, 2012)

A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. - Kerstin Bach; Daniel Schäfer; Neela Enke; Bernhard Seeger; Birgit Gemeinholzer; Jörg Bendix (Ecol. Informatics, 2012)

The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -. - Neela Enke; Anne E. Thessen; Kerstin Bach; Jörg Bendix; Bernhard Seeger; Birgit Gemeinholzer (Ecol. Informatics, 2012)

Knowledge Acquisition for Case-Based Reasoning Systems. - Kerstin Bach (Verlag Dr. Hut, 2013)

Knowledge Modeling with the Open Source Tool myCBR. - Kerstin Bach; Christian Severin Sauer; Klaus-Dieter Althoff; Thomas Roth-Berghofer (KESE@ECAI, 2014)

Automatic Case Capturing for Problematic Drilling Situations. - Kerstin Bach; Odd Erik Gundersen; Christian Knappskog; Pinar Öztürk (ICCBR, 2014)

Evaluation of Explanations Extracted from Textual Reports. - Gleb Sizov; Pinar Öztürk; Kerstin Bach (FLAIRS, 2016)

Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data. - Tomasz Szczepanski; Kerstin Bach; Agnar Aamodt (ICCBR Workshops, 2016)

Case Representation and Similarity Assessment in the selfBACK Decision Support System. - Kerstin Bach; Tomasz Szczepanski; Agnar Aamodt; Odd Erik Gundersen; Paul Jarle Mork (LWDA, 2016)

Can Data-driven Self-Management Reduce Low Back Pain? - Kerstin Bach; Paul Jarle Mork; Agnar Aamodt (ERCIM News, 2016)

Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. - Tale Prestmo; Kerstin Bach; Agnar Aamodt; Paul Jarle Mork (ICCBR, 2017)

IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. - Kari Skjold; Marthe Øynes; Kerstin Bach; Agnar Aamodt (ICCBR (Workshops), 2017)

From Data to Context Aware Decision Making Challenges and Opportunities. - Kerstin Bach (AfCAI, 2018)

Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. - Hoda Nikpour; Agnar Aamodt; Kerstin Bach (ICCBR, 2018)

Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (ICCBR, 2018)

Cassification of Movement Quality in A Weight-shifting Exercise. - Elise Klaebo Vonstad; Xiaomeng Su; Beatrix Vereijken; Jan Harald Nilsen; Kerstin Bach (KDH@IJCAI, 2018)

The 25th International Conference on Case-Based Reasoning. - David W. Aha; Kerstin Bach; Odd Erik Gundersen; Jean Lieber (AI Mag., 2018)

Knowledge Engineering for Distributed Case-Based Reasoning Systems. - Kerstin Bach (Synergies Between Knowledge Engineering and Software Engineering, 2018)

Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. - Amar Jaiswal; Kerstin Bach; Ingebrigt Meisingset; Ottar Vasseljen (FLAIRS, 2019)

Workshop preface. - Kerstin Bach (ICCBR Workshops, 2019)

Demonstrating the myCBR Rest API. - Kerstin Bach; Bjørn Magnus Mathisen; Amar Jaiswal (ICCBR Workshops, 2019)

A Data-Driven Approach for Determining Weights in Global Similarity Functions. - Amar Jaiswal; Kerstin Bach (ICCBR, 2019)

IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. - Abdulmajid Murad; Kerstin Bach; Frank Alexander Kraemer; Gavin Taylor (IOT, 2019)

Visual analytics for exploring air quality data in an AI-enhanced IoT environment. - Ilias Kalamaras; Ioannis Xygonakis; Konstantinos Glykos; Sigmund Akselsen; Arne Munch-Ellingsen; Hai Thanh Nguyen 001; Andreas Jacobsen Lepperod; Kerstin Bach; Konstantinos Votis; Dimitrios Tzovaras (MEDES, 2019)

Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (NAIS, 2019)

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (SASO, 2019)

Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. - Kerstin Bach; Cindy Marling; Paul Jarle Mork; Agnar Aamodt; Frances S. Mair; Barbara I. Nicholl (J. Intell. Inf. Syst., 2019)

Fallbasiertes Schließen. - Ralph Bergmann; Mirjam Minor; Kerstin Bach; Klaus-Dieter Althoff; Héctor Muñoz-Avila (Handbuch der Künstlichen Intelligenz, 2020)

FishNet: A Unified Embedding for Salmon Recognition. - Bjørn Magnus Mathisen; Kerstin Bach; Espen Meidell; Håkon Måløy; Edvard Schreiner Sjøblom (ECAI, 2020)

On the Explanation of Similarity for Developing and Deploying CBR Systems. - Kerstin Bach; Paul Jarle Mork (FLAIRS, 2020)

Learning to Recognise Exercises in the Self-Management of Low Back Pain. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper; Kerstin Bach (FLAIRS, 2020)

Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (ICAART (2), 2020)

On the Use of Air Quality Microsensors for Supporting Decision Makers. - Kerstin Bach; Sigmund Akselsen; Tiago Veiga; Ilias Kalamaras (IOT Companion, 2020)

Information-driven adaptive sensing based on deep reinforcement learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (IOT, 2020)

The 27th International Conference on Case-Based Reasoning. - Klaus-Dieter Althoff; Kerstin Bach; Ralph Bergmann; Cindy Marling (AI Mag., 2020)

Learning similarity measures from data. - Bjørn Magnus Mathisen; Agnar Aamodt; Kerstin Bach; Helge Langseth (Prog. Artif. Intell., 2020)

Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. - Elise Klaebo Vonstad; Xiaomeng Su; Beatrix Vereijken; Kerstin Bach; Jan Harald Nilsen (Sensors, 2020)

Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. - Tiago Veiga; Erling Ljunggren; Kerstin Bach; Sigmund Akselsen (COINS, 2021)

Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. - Eirik Flogard; Ole Jakob Mengshoel; Kerstin Bach (ICCBR, 2021)

Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (SGAI Conf., 2021)

Using extended siamese networks to provide decision support in aquaculture operations. - Bjørn Magnus Mathisen; Kerstin Bach; Agnar Aamodt (Appl. Intell., 2021)

Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (Informatics, 2021)

HARTH: A Human Activity Recognition Dataset for Machine Learning. - Aleksej Logacjov; Kerstin Bach; Atle Kongsvold; Hilde Bremseth Bårdstu; Paul Jarle Mork (Sensors, 2021)

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (Sensors, 2021)

From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. - Tiago Veiga; Arne Munch-Ellingsen; Christoforos Papastergiopoulos; Dimitrios Tzovaras; Ilias Kalamaras; Kerstin Bach; Konstantinos Votis; Sigmund Akselsen (Sensors, 2021)

Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. - Elise Klæbo Vonstad; Beatrix Vereijken; Kerstin Bach; Xiaomeng Su; Jan Harald Nilsen (IEEE Trans. Hum. Mach. Syst., 2021)

Labour Inspection Checklist Content. - Eirik Flogard; Ole Jakob Mengshoel; Kerstin Bach (IEEE DataPort, 2021)

Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. - Betül Bayrak; Paola Marín-Veites; Kerstin Bach (ICCBR Workshops, 2022)

Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. - Paola Marín-Veites; Kerstin Bach (ICCBR, 2022)

Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. - Eirik Lund Flogard; Ole Jakob Mengshoel; Kerstin Bach (IJCAI, 2022)

Learning attention models for resource-constrained, self-adaptive visual sensing applications. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner; Tiago Santos Veiga (RACS, 2022)

Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. - Deepika Verma; Duncan Jansen; Kerstin Bach; Mannes Poel; Paul Jarle Mork; Wendy Oude Nijeweme d'Hollosy (BMC Medical Informatics Decis. Mak., 2022)

Vessel-to-Vessel Motion Compensation with Reinforcement Learning. - Sverre Herland; Kerstin Bach (AAAI, 2023)

Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. - Eirik Lund Flogard; Ole Jakob Mengshoel; Ole Magnus Theisen; Kerstin Bach (ECAI, 2023)

A Twin XCBR System Using Supportive and Contrastive Explanations. - Betül Bayrak; Kerstin Bach (ICCBR Workshops, 2023)

Container-Based IoT Architectures: Use Case for Visual Person Counting. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (NAIS, 2023)

Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Christian Renner (SenSys, 2023)

PertCF: A Perturbation-Based Counterfactual Generation Approach. - Betül Bayrak; Kerstin Bach (SGAI Conf., 2023)

Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. - Frank Alexander Kraemer; Hafiz Areeb Asad; Kerstin Bach; Bernd-Christian Renner (IEEE Access, 2023)

External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. - Deepika Verma; Kerstin Bach; Paul Jarle Mork (Int. J. Medical Informatics, 2023)

HARTH. - Aleksej Logacjov; Atle Kongsvold; Kerstin Bach; Hilde Bremseth Bårdstu; Paul Jarle Mork (UCI Machine Learning Repository, 2023)

Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. - Astrid Ustad; Aleksej Logacjov; Stine Øverengen Trollebø; Pernille Thingstad; Beatrix Vereijken; Kerstin Bach; Nina Skjæret-Maroni (Sensors, 2023)

Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. - Tiago Veiga; Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach (Future Gener. Comput. Syst., 2023)

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project. - Fredrik Granviken; Ingebrigt Meisingset; Ottar Vasseljen; Kerstin Bach; Anita Formo Bones; Nina Elisabeth Klevanger (BMC Medical Informatics Decis. Mak., 2023)

Automatic Adjusting Global Similarity Measures in Learning CBR Systems. - Stuart Gallina Ottersen; Kerstin Bach (ICCBR, 2024)

6-DoF Closed-Loop Grasping with Reinforcement Learning. - Sverre Herland; Kerstin Bach; Ekrem Misimi (ICRA, 2024)

UtiliGEM: Energy Management Guided by Learned Application Utility. - Hafiz Areeb Asad; Frank Alexander Kraemer; Kerstin Bach; Bernd-Christian Renner (IoT, 2024)

Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit. - Betül Bayrak; Kerstin Bach (IEEE Access, 2024)

Dynamic Contrastive Learning for Time Series Representation. - Abdul-Kazeem Shamba; Kerstin Bach; Gavin Taylor (CoRR, 2024)

Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. - Aleksej Logacjov; Kerstin Bach (Eng. Appl. Artif. Intell., 2024)

Uncertainty-aware autonomous sensing with deep reinforcement learning. - Abdulmajid Murad; Frank Alexander Kraemer; Kerstin Bach; Gavin Taylor (Future Gener. Comput. Syst., 2024)

SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. - Aleksej Logacjov; Sverre Herland; Astrid Ustad; Kerstin Bach (Appl. Intell., 2024)

Explainable Sleep-Wake Recognition Using a Twin XCBR System with Prototypes to Improve Retrieval Efficiency. - Sophia Sylvester; Kerstin Bach; Håvard Kallestad (ICCBR, 2025)

Long-term self-supervised learning for accelerometer-based sleep-wake recognition. - Aleksej Logacjov; Kerstin Bach; Paul Jarle Mork (Eng. Appl. Artif. Intell., 2025)

eMargin: Revisiting Contrastive Learning with Margin-Based Separation. - Abdul-Kazeem Shamba; Kerstin Bach; Gavin Taylor (CoRR, 2025)