Kerstin Bach

Orcid: 0000-0002-4256-7676

According to our database1, Kerstin Bach authored at least 84 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2023
Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project.
BMC Medical Informatics Decis. Mak., December, 2023

Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications.
Future Gener. Comput. Syst., May, 2023

Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model.
Sensors, March, 2023


External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app.
Int. J. Medical Informatics, 2023

Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy.
IEEE Access, 2023

PertCF: A Perturbation-Based Counterfactual Generation Approach.
Proceedings of the Artificial Intelligence XL, 2023

Container-Based IoT Architectures: Use Case for Visual Person Counting.
Proceedings of the 5th Symposium of the Norwegian AI Society, 2023

A Twin XCBR System Using Supportive and Contrastive Explanations.
Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023

Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Vessel-to-Vessel Motion Compensation with Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes.
BMC Medical Informatics Decis. Mak., 2022

Learning attention models for resource-constrained, self-adaptive visual sensing applications.
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022

Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models.
Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021
Labour Inspection Checklist Content.
Dataset, August, 2021

Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame.
IEEE Trans. Hum. Mach. Syst., 2021

From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development.
Sensors, 2021

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.
Sensors, 2021

HARTH: A Human Activity Recognition Dataset for Machine Learning.
Sensors, 2021

Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review.
Informatics, 2021

Using extended siamese networks to provide decision support in aquaculture operations.
Appl. Intell., 2021

Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Proceedings of the Case-Based Reasoning Research and Development, 2021

Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks.
Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.
Sensors, 2020

Learning similarity measures from data.
Prog. Artif. Intell., 2020

The 27th International Conference on Case-Based Reasoning.
AI Mag., 2020

Information-driven adaptive sensing based on deep reinforcement learning.
Proceedings of the IoT '20: 10th International Conference on the Internet of Things, 2020

On the Use of Air Quality Microsensors for Supporting Decision Makers.
Proceedings of the IoT '20 Companion: 10th International Conference on the Internet of Things Companion, 2020

Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 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, 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.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Fallbasiertes Schließen.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain.
J. Intell. Inf. Syst., 2019

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.
Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2019

Visual analytics for exploring air quality data in an AI-enhanced IoT environment.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.
Proceedings of the 9th International Conference on the Internet of Things, 2019

A Data-Driven Approach for Determining Weights in Global Similarity Functions.
Proceedings of the Case-Based Reasoning Research and Development, 2019

Demonstrating the myCBR Rest API.
Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Workshop preface.
Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018
Knowledge Engineering for Distributed Case-Based Reasoning Systems.
Proceedings of the Synergies Between Knowledge Engineering and Software Engineering, 2018

The 25th International Conference on Case-Based Reasoning.
AI Mag., 2018

Cassification of Movement Quality in A Weight-shifting Exercise.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach.
Proceedings of the Case-Based Reasoning Research and Development, 2018

Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System.
Proceedings of the Case-Based Reasoning Research and Development, 2018

From Data to Context Aware Decision Making Challenges and Opportunities.
Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), 2018

2017
IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety.
Proceedings of the Case-Based Reasoning Research and Development, 2017

2016
Can Data-driven Self-Management Reduce Low Back Pain?
ERCIM News, 2016

Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

Case Representation and Similarity Assessment in the selfBACK Decision Support System.
Proceedings of the Case-Based Reasoning Research and Development, 2016

Evaluation of Explanations Extracted from Textual Reports.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2014
Automatic Case Capturing for Problematic Drilling Situations.
Proceedings of the Case-Based Reasoning Research and Development, 2014

Knowledge Modeling with the Open Source Tool myCBR.
Proceedings of 10th Workshop on Knowledge Engineering and Software Engineering (KESE10) co-located with 21st European Conference on Artificial Intelligence (ECAI 2014), 2014

2013
Knowledge Acquisition for Case-Based Reasoning Systems.
PhD thesis, 2013

2012
The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -.
Ecol. Informatics, 2012

A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research.
Ecol. Informatics, 2012

Developing Case-Based Reasoning Applications Using myCBR 3.
Proceedings of the Case-Based Reasoning Research and Development, 2012

2011
Knowledge engineering within the application-independent architecture SEASALT.
Int. J. Knowl. Eng. Data Min., 2011

Case-Based Menu Creation as an Example of Individualized Experience Management.
Proceedings of the 6th Conference on Professional Knowledge Management: From Knowledge to Action, 2011

GWEM 2011 - German Workshop on Experience Management.
Proceedings of the 6th Conference on Professional Knowledge Management: From Knowledge to Action, 2011

SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities.
Proceedings of the Report of the symposium "Lernen, 2011

A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports.
Proceedings of the Case-Based Reasoning Research and Development, 2011

2010
Integration of Linked Open Data in Case-Based Reasoning Systems.
Proceedings of the LWA 2010, 2010

Knowledge Acquisition for Simulating Complex Psychological Processes.
Proceedings of the 6th Workshop on Knowledge Engineering and Software Engineering, 2010

2009
CookIIS - Competing in the First Computer Cooking Contest.
Künstliche Intell., 2009

Case-Based Reasoning.
Künstliche Intell., 2009

MATES 2008.
Künstliche Intell., 2009

Interview with Pádraig Cunningham and Barry Smyth.
Künstliche Intell., 2009

Management of Distributed Knowledge Sources for Complex Application Domains.
Proceedings of the Fifth Conference Professional Knowledge Management: Experiences and Visions, 2009

The SEASALT Architecture and Its Realization within the docQuery Project.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

A Value Supplementation Method for Case Bases with Incomplete Information.
Proceedings of the Case-Based Reasoning Research and Development, 2009

2008
Improving Result Adaptation through 2-step Retrieval.
Proceedings of the 4th Workshop on Knowledge Engineering and Software Engineering (KESE-2008) at the 31st German Conference on Artificial Intelligence, 2008

Realizing Modularized Knowledge Models for Heterogeneous Application Domains.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR.
Proceedings of the ECCBR 2008, 2008

Realising a CBR-based approach for Computer Cooking Contest with e: IAS.
Proceedings of the ECCBR 2008, 2008

2007
A Domain Independent System Architecture for Sharing Experience.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

TCR - Textual Coverage Rate.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems.
Proceedings of the 3rd Workshop on Knowledge Engineering and Software Engineering (KESE 2007) at the 30th German Conference on Artificial Intelligence (KI-2007), 2007


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