Kerstin Bach - RankMe

115 papers A* 4A 4C 15Misc 6Journal 42Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Contrast All The Time: Learning Time Series Representation from Temporal Consistency. ECAI Abdul-Kazeem Shamba, Kerstin Bach, Gavin Taylor
2025	C	`conf`	Explainable Sleep-Wake Recognition Using a Twin XCBR System with Prototypes to Improve Retrieval Efficiency. ICCBR Sophia Sylvester, Kerstin Bach, Håvard Kallestad
2025	J	`jnl`	From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification. CoRR Maciej Mozolewski, Betül Bayrak, Kerstin Bach, Grzegorz J. Nalepa
2025	J	`jnl`	Long-term self-supervised learning for accelerometer-based sleep-wake recognition. Eng. Appl. Artif. Intell. Aleksej Logacjov, Kerstin Bach, Paul Jarle Mork
2025	J	`jnl`	PerCE: Hierarchical Perturbation-Based Counterfactual Explanations for Multivariate Time Series Classification. IEEE Access Betül Bayrak, Kerstin Bach
2025	—	`ed.`	Proceedings of the Symposium of the Norwegian AI Society 2025, Tromsø, Norway, June 17-18, 2025. NAIS Robert Jenssen, Kerstin Bach
2025	J	`jnl`	eMargin: Revisiting Contrastive Learning with Margin-Based Separation. CoRR Abdul-Kazeem Shamba, Kerstin Bach, Gavin Taylor
2024	—	`ed.`	14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden SCAI Florian Westphal, Einav Peretz-Andersson, Maria Riveiro, Kerstin Bach, Fredrik Heintz
2024	A*	`conf`	6-DoF Closed-Loop Grasping with Reinforcement Learning. ICRA Sverre Herland, Kerstin Bach, Ekrem Misimi
2024	C	`conf`	Automatic Adjusting Global Similarity Measures in Learning CBR Systems. ICCBR Stuart Gallina Ottersen, Kerstin Bach
2024	J	`jnl`	Dynamic Contrastive Learning for Time Series Representation. CoRR Abdul-Kazeem Shamba, Kerstin Bach, Gavin Taylor
2024	A	`ed.`	ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) ECAI Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz
2024	J	`jnl`	Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit. IEEE Access Betül Bayrak, Kerstin Bach
2024	J	`jnl`	Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition. Eng. Appl. Artif. Intell. Aleksej Logacjov, Kerstin Bach
2024	J	`jnl`	SelfPAB: large-scale pre-training on accelerometer data for human activity recognition. Appl. Intell. Aleksej Logacjov, Sverre Herland, Astrid Ustad, Kerstin Bach
2024	J	`jnl`	Uncertainty-aware autonomous sensing with deep reinforcement learning. Future Gener. Comput. Syst. Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2024	—	`conf`	UtiliGEM: Energy Management Guided by Learned Application Utility. IoT Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Bernd-Christian Renner
2023	—	`conf`	A Twin XCBR System Using Supportive and Contrastive Explanations. ICCBR Workshops Betül Bayrak, Kerstin Bach
2023	J	`jnl`	Acceptance and use of a clinical decision support system in musculoskeletal pain disorders - the SupportPrim project. BMC Medical Informatics Decis. Mak. Fredrik Granviken, Ingebrigt Meisingset, Ottar Vasseljen, Kerstin Bach, Anita Formo Bones, Nina Elisabeth Klevanger
2023	—	`conf`	Container-Based IoT Architectures: Use Case for Visual Person Counting. NAIS Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach
2023	A	`conf`	Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. ECAI Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach
2023	J	`jnl`	External validation of prediction models for patient-reported outcome measurements collected using the selfBACK mobile app. Int. J. Medical Informatics Deepika Verma, Kerstin Bach, Paul Jarle Mork
2023	J	`jnl`	Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy. IEEE Access Frank Alexander Kraemer, Hafiz Areeb Asad, Kerstin Bach, Bernd-Christian Renner
2023	—	`conf`	PertCF: A Perturbation-Based Counterfactual Generation Approach. SGAI Conf. Betül Bayrak, Kerstin Bach
2023	Misc	`conf`	Poster Abstract: Towards Autonomous Utility-Aware Energy Management for Energy Harvesting Devices. SenSys Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner
2023	J	`jnl`	Towards containerized, reuse-oriented AI deployment platforms for cognitive IoT applications. Future Gener. Comput. Syst. Tiago Veiga, Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach
2023	J	`jnl`	Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors Astrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, Pernille Thingstad, Beatrix Vereijken, Kerstin Bach, Nina Skjæret-Maroni
2023	A*	`conf`	Vessel-to-Vessel Motion Compensation with Reinforcement Learning. AAAI Sverre Herland, Kerstin Bach
2022	A*	`conf`	Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach
2022	C	`conf`	Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. ICCBR Paola Marín-Veites, Kerstin Bach
2022	—	`conf`	Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. ICCBR Workshops Betül Bayrak, Paola Marín-Veites, Kerstin Bach
2022	J	`jnl`	Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC Medical Informatics Decis. Mak. Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork, Wendy Oude Nijeweme d'Hollosy
2022	—	`conf`	Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner, Tiago Santos Veiga
2021	J	`jnl`	Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Informatics Deepika Verma, Kerstin Bach, Paul Jarle Mork
2021	J	`jnl`	Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. IEEE Trans. Hum. Mach. Syst. Elise Klæbo Vonstad, Beatrix Vereijken, Kerstin Bach, Xiaomeng Su, Jan Harald Nilsen
2021	C	`conf`	Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. ICCBR Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach
2021	—	`conf`	Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. COINS Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen
2021	J	`jnl`	Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. CoRR Tiago Veiga, Erling Ljunggren, Kerstin Bach, Sigmund Akselsen
2021	J	`jnl`	From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Sensors Tiago Veiga, Arne Munch-Ellingsen, Christoforos Papastergiopoulos, Dimitrios Tzovaras, Ilias Kalamaras, Kerstin Bach, Konstantinos Votis, Sigmund Akselsen
2021	J	`jnl`	HARTH: A Human Activity Recognition Dataset for Machine Learning. Sensors Aleksej Logacjov, Kerstin Bach, Atle Kongsvold, Hilde Bremseth Bårdstu, Paul Jarle Mork
2021	J	`jnl`	On the Explanation of Similarity for Developing and Deploying CBR Systems. CoRR Kerstin Bach, Paul Jarle Mork
2021	J	`jnl`	Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. CoRR Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2021	J	`jnl`	Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2021	—	`conf`	Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. SGAI Conf. Deepika Verma, Kerstin Bach, Paul Jarle Mork
2021	J	`jnl`	Using extended siamese networks to provide decision support in aquaculture operations. Appl. Intell. Bjørn Magnus Mathisen, Kerstin Bach, Agnar Aamodt
2020	—	`conf`	Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. ICAART (2) Deepika Verma, Kerstin Bach, Paul Jarle Mork
2020	J	`jnl`	Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Sensors Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Kerstin Bach, Jan Harald Nilsen
2020	—	`ch.`	Fallbasiertes Schließen. Handbuch der Künstlichen Intelligenz Ralph Bergmann, Mirjam Minor, Kerstin Bach, Klaus-Dieter Althoff, Héctor Muñoz-Avila
2020	A	`conf`	FishNet: A Unified Embedding for Salmon Recognition. ECAI Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
2020	J	`jnl`	FishNet: A Unified Embedding for Salmon Recognition. CoRR Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
2020	J	`jnl`	Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. CoRR Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2020	—	`conf`	Information-driven adaptive sensing based on deep reinforcement learning. IOT Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2020	J	`jnl`	Learning similarity measures from data. CoRR Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth
2020	J	`jnl`	Learning similarity measures from data. Prog. Artif. Intell. Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach, Helge Langseth
2020	Misc	`conf`	Learning to Recognise Exercises in the Self-Management of Low Back Pain. FLAIRS Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper, Kerstin Bach
2020	Misc	`conf`	On the Explanation of Similarity for Developing and Deploying CBR Systems. FLAIRS Kerstin Bach, Paul Jarle Mork
2020	—	`conf`	On the Use of Air Quality Microsensors for Supporting Decision Makers. IOT Companion Kerstin Bach, Sigmund Akselsen, Tiago Veiga, Ilias Kalamaras
2020	—	`ed.`	Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, Santiago de Compostela, Spain & Virtually, August 29-30, 2020. KDH@ECAI Kerstin Bach, Razvan C. Bunescu, Cindy Marling, Nirmalie Wiratunga
2020	J	`jnl`	The 27th International Conference on Case-Based Reasoning. AI Mag. Klaus-Dieter Althoff, Kerstin Bach, Ralph Bergmann, Cindy Marling
2019	C	`conf`	A Data-Driven Approach for Determining Weights in Global Similarity Functions. ICCBR Amar Jaiswal, Kerstin Bach
2019	—	`conf`	Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. SASO Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2019	J	`jnl`	Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. CoRR Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor
2019	Misc	`conf`	Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. FLAIRS Amar Jaiswal, Kerstin Bach, Ingebrigt Meisingset, Ottar Vasseljen
2019	C	`ed.`	Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings ICCBR Kerstin Bach, Cindy Marling
2019	—	`conf`	Demonstrating the myCBR Rest API. ICCBR Workshops Kerstin Bach, Bjørn Magnus Mathisen, Amar Jaiswal
2019	J	`jnl`	Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. J. Intell. Inf. Syst. Kerstin Bach, Cindy Marling, Paul Jarle Mork, Agnar Aamodt, Frances S. Mair, Barbara I. Nicholl
2019	—	`conf`	IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. IOT Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor
2019	—	`ed.`	Nordic Artificial Intelligence Research and Development - Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27-28, 2019, Proceedings NAIS Kerstin Bach, Massimiliano Ruocco
2019	J	`jnl`	Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach. CoRR Deepika Verma, Kerstin Bach, Paul Jarle Mork
2019	—	`conf`	Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach. NAIS Deepika Verma, Kerstin Bach, Paul Jarle Mork
2019	C	`conf`	Visual analytics for exploring air quality data in an AI-enhanced IoT environment. MEDES Ilias Kalamaras, Ioannis Xygonakis, Konstantinos Glykos, Sigmund Akselsen, Arne Munch-Ellingsen, Hai Thanh Nguyen, Andreas Jacobsen Lepperod, Kerstin Bach, Konstantinos Votis, Dimitrios Tzovaras
2019	—	`conf`	Workshop preface. ICCBR Workshops Kerstin Bach
2018	C	`conf`	Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. ICCBR Hoda Nikpour, Agnar Aamodt, Kerstin Bach
2018	—	`conf`	Cassification of Movement Quality in A Weight-shifting Exercise. KDH@IJCAI Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach
2018	—	`conf`	From Data to Context Aware Decision Making Challenges and Opportunities. AfCAI Kerstin Bach
2018	—	`ch.`	Knowledge Engineering for Distributed Case-Based Reasoning Systems. Synergies Between Knowledge Engineering and Software Engineering Kerstin Bach
2018	C	`conf`	Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. ICCBR Deepika Verma, Kerstin Bach, Paul Jarle Mork
2018	—	`ed.`	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), Stockholm, Schweden, July 13, 2018. KDH@IJCAI Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu
2018	J	`jnl`	The 25th International Conference on Case-Based Reasoning. AI Mag. David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber
2017	C	`conf`	Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. ICCBR Tale Prestmo, Kerstin Bach, Agnar Aamodt, Paul Jarle Mork
2017	—	`conf`	IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. ICCBR (Workshops) Kari Skjold, Marthe Øynes, Kerstin Bach, Agnar Aamodt
2017	—	`ed.`	Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. KDH@IJCAI Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani
2016	J	`jnl`	Can Data-driven Self-Management Reduce Low Back Pain? ERCIM News Kerstin Bach, Paul Jarle Mork, Agnar Aamodt
2016	C	`conf`	Case Representation and Similarity Assessment in the selfBACK Decision Support System. ICCBR Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
2016	—	`conf`	Case Representation and Similarity Assessment in the selfBACK Decision Support System. LWDA Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork
2016	—	`conf`	Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data. ICCBR Workshops Tomasz Szczepanski, Kerstin Bach, Agnar Aamodt
2016	Misc	`conf`	Evaluation of Explanations Extracted from Textual Reports. FLAIRS Gleb Sizov, Pinar Öztürk, Kerstin Bach
2014	C	`conf`	Automatic Case Capturing for Problematic Drilling Situations. ICCBR Kerstin Bach, Odd Erik Gundersen, Christian Knappskog, Pinar Öztürk
2014	—	`conf`	Knowledge Modeling with the Open Source Tool myCBR. KESE@ECAI Kerstin Bach, Christian Severin Sauer, Klaus-Dieter Althoff, Thomas Roth-Berghofer
2013	—	`—`	Knowledge Acquisition for Case-Based Reasoning Systems. Kerstin Bach
2012	J	`jnl`	A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecol. Informatics Kerstin Bach, Daniel Schäfer, Neela Enke, Bernhard Seeger, Birgit Gemeinholzer, Jörg Bendix
2012	C	`conf`	Developing Case-Based Reasoning Applications Using myCBR 3. ICCBR Kerstin Bach, Klaus-Dieter Althoff
2012	J	`jnl`	The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -. Ecol. Informatics Neela Enke, Anne E. Thessen, Kerstin Bach, Jörg Bendix, Bernhard Seeger, Birgit Gemeinholzer
2011	C	`conf`	A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. ICCBR Kerstin Bach, Klaus-Dieter Althoff, Régis Newo, Armin Stahl
2011	—	`conf`	Case-Based Menu Creation as an Example of Individualized Experience Management. Wissensmanagement Kerstin Bach, Pascal Reuss, Klaus-Dieter Althoff
2011	—	`conf`	GWEM 2011 - German Workshop on Experience Management. Wissensmanagement Kerstin Bach, Thomas Roth-Berghofer
2011	J	`jnl`	Knowledge engineering within the application-independent architecture SEASALT. Int. J. Knowl. Eng. Data Min. Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff
2011	—	`conf`	SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities. LWA Thomas Roth-Berghofer, Christian Severin Sauer, Klaus-Dieter Althoff, Kerstin Bach, Régis Newo
2010	—	`conf`	Integration of Linked Open Data in Case-Based Reasoning Systems. LWA Christian Severin Sauer, Kerstin Bach, Klaus-Dieter Althoff
2010	—	`conf`	Knowledge Acquisition for Simulating Complex Psychological Processes. KESE Régis Newo, Kerstin Bach, Klaus-Dieter Althoff
2009	C	`conf`	A Value Supplementation Method for Case Bases with Incomplete Information. ICCBR Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
2009	J	`jnl`	Case-Based Reasoning. Künstliche Intell. Ralph Bergmann, Klaus-Dieter Althoff, Mirjam Minor, Meike Reichle, Kerstin Bach
2009	J	`jnl`	CookIIS - Competing in the First Computer Cooking Contest. Künstliche Intell. Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo
2009	J	`jnl`	Interview with Pádraig Cunningham and Barry Smyth. Künstliche Intell. Klaus-Dieter Althoff, Kerstin Bach
2009	J	`jnl`	MATES 2008. Künstliche Intell. Kerstin Bach, Meike Reichle
2009	—	`conf`	Management of Distributed Knowledge Sources for Complex Application Domains. LWA Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff
2009	—	`conf`	Management of Distributed Knowledge Sources for Complex Application Domains. Wissensmanagement Meike Reichle, Kerstin Bach, Alexander Reichle-Schmehl, Klaus-Dieter Althoff
2009	Misc	`conf`	The SEASALT Architecture and Its Realization within the docQuery Project. KI Meike Reichle, Kerstin Bach, Klaus-Dieter Althoff
2008	—	`conf`	Improving Result Adaptation through 2-step Retrieval. KESE Meike Reichle, Kerstin Bach
2008	—	`conf`	Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis
2008	—	`conf`	Realising a CBR-based approach for Computer Cooking Contest with e: IAS. ECCBR Workshops Alexandre Hanft, Norman Ihle, Kerstin Bach, Régis Newo, Jens Mänz
2008	A*	`conf`	Realizing Modularized Knowledge Models for Heterogeneous Application Domains. ICDM Klaus-Dieter Althoff, Kerstin Bach, Meike Reichle
2007	—	`conf`	A Domain Independent System Architecture for Sharing Experience. LWA Kerstin Bach, Meike Reichle, Klaus-Dieter Althoff
2007	—	`conf`	Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems. KESE Klaus-Dieter Althoff, Kerstin Bach, Jan-Oliver Deutsch, Alexandre Hanft, Jens Mänz, Thomas Müller, Régis Newo, Meike Reichle, Martin Schaaf, Karl-Heinz Weis
2007	—	`conf`	TCR - Textual Coverage Rate. LWA Kerstin Bach, Alexandre Hanft