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  2021 (12)
Using extended siamese networks to provide decision support in aquaculture operations. Mathisen, B. M.; Bach, K.; and Aamodt, A. Appl. Intell., 51(11): 8107–8118. 2021.
Using extended siamese networks to provide decision support in aquaculture operations [link]Paper   doi   link   bibtex  
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review. Verma, D.; Bach, K.; and Mork, P. J. Informatics, 8(3): 56. 2021.
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review [link]Paper   doi   link   bibtex  
From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development. Veiga, T.; Munch-Ellingsen, A.; Papastergiopoulos, C.; Tzovaras, D.; Kalamaras, I.; Bach, K.; Votis, K.; and Akselsen, S. Sensors, 21(9): 3190. 2021.
From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development [link]Paper   doi   link   bibtex  
HARTH: A Human Activity Recognition Dataset for Machine Learning. Logacjov, A.; Bach, K.; Kongsvold, A.; Bårdstu, H. B.; and Mork, P. J. Sensors, 21(23): 7853. 2021.
HARTH: A Human Activity Recognition Dataset for Machine Learning [link]Paper   doi   link   bibtex  
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. Sensors, 21(23): 8009. 2021.
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting [link]Paper   doi   link   bibtex  
Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame. Vonstad, E. K.; Vereijken, B.; Bach, K.; Su, X.; and Nilsen, J. H. IEEE Trans. Hum. Mach. Syst., 51(3): 242–252. 2021.
Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame [link]Paper   doi   link   bibtex  
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. Veiga, T.; Ljunggren, E.; Bach, K.; and Akselsen, S. In 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Barcelona, Spain, August 23-25, 2021, pages 1–6, 2021. IEEE
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks [link]Paper   doi   link   bibtex  
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. Flogard, E.; Mengshoel, O. J.; and Bach, K. In Sánchez-Ruiz, A. A.; and Floyd, M. W., editor(s), Case-Based Reasoning Research and Development - 29th International Conference, ICCBR 2021, Salamanca, Spain, September 13-16, 2021, Proceedings, volume 12877, of Lecture Notes in Computer Science, pages 94–109, 2021. Springer
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists [link]Paper   doi   link   bibtex  
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements. Verma, D.; Bach, K.; and Mork, P. J. In Bramer, M.; and Ellis, R., editor(s), Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings, volume 13101, of Lecture Notes in Computer Science, pages 282–295, 2021. Springer
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements [link]Paper   doi   link   bibtex  
On the Explanation of Similarity for Developing and Deploying CBR Systems. Bach, K.; and Mork, P. J. CoRR, abs/2106.04662. 2021.
On the Explanation of Similarity for Developing and Deploying CBR Systems [link]Paper   link   bibtex  
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks. Veiga, T.; Ljunggren, E.; Bach, K.; and Akselsen, S. CoRR, abs/2111.09417. 2021.
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks [link]Paper   link   bibtex  
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. CoRR, abs/2112.02622. 2021.
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting [link]Paper   link   bibtex  
  2020 (14)
The 27th International Conference on Case-Based Reasoning. Althoff, K.; Bach, K.; Bergmann, R.; and Marling, C. AI Mag., 41(1): 101–102. 2020.
The 27th International Conference on Case-Based Reasoning [link]Paper   doi   link   bibtex  
Learning similarity measures from data. Mathisen, B. M.; Aamodt, A.; Bach, K.; and Langseth, H. Prog. Artif. Intell., 9(2): 129–143. 2020.
Learning similarity measures from data [link]Paper   doi   link   bibtex  
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training. Vonstad, E. K.; Su, X.; Vereijken, B.; Bach, K.; and Nilsen, J. H. Sensors, 20(23): 6940. 2020.
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training [link]Paper   doi   link   bibtex  
FishNet: A Unified Embedding for Salmon Recognition. Mathisen, B. M.; Bach, K.; Meidell, E.; Måløy, H.; and Sjøblom, E. S. In Giacomo, G. D.; Catalá, A.; Dilkina, B.; Milano, M.; Barro, S.; Bugarín, A.; and Lang, J., editor(s), ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), volume 325, of Frontiers in Artificial Intelligence and Applications, pages 3001–3008, 2020. IOS Press
FishNet: A Unified Embedding for Salmon Recognition [link]Paper   doi   link   bibtex  
Learning to Recognise Exercises in the Self-Management of Low Back Pain. Wijekoon, A.; Wiratunga, N.; Cooper, K.; and Bach, K. In Barták, R.; and Bell, E., editor(s), Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, Originally to be held in North Miami Beach, Florida, USA, May 17-20, 2020, pages 347–352, 2020. AAAI Press
Learning to Recognise Exercises in the Self-Management of Low Back Pain [link]Paper   link   bibtex  
On the Explanation of Similarity for Developing and Deploying CBR Systems. Bach, K.; and Mork, P. J. In Barták, R.; and Bell, E., editor(s), Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, Originally to be held in North Miami Beach, Florida, USA, May 17-20, 2020, pages 413–416, 2020. AAAI Press
On the Explanation of Similarity for Developing and Deploying CBR Systems [link]Paper   link   bibtex  
Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. Verma, D.; Bach, K.; and Mork, P. J. In Rocha, A. P.; Steels, L.; and van den Herik, H. J., editor(s), Proceedings of the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, Volume 2, Valletta, Malta, February 22-24, 2020, pages 660–667, 2020. SCITEPRESS
Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures [link]Paper   doi   link   bibtex  
Information-driven adaptive sensing based on deep reinforcement learning. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. In Davidsson, P.; and Langheinrich, M., editor(s), IoT '20: 10th International Conference on the Internet of Things, Malmö, Sweden, October 6-9, 2020, pages 2:1–2:8, 2020. ACM
Information-driven adaptive sensing based on deep reinforcement learning [link]Paper   doi   link   bibtex  
On the Use of Air Quality Microsensors for Supporting Decision Makers. Bach, K.; Akselsen, S.; Veiga, T.; and Kalamaras, I. In Davidsson, P.; Langheinrich, M.; Linde, P.; Mayer, S.; Casado-Mansilla, D.; Spikol, D.; Kraemer, F. A.; and Russo, N. L., editor(s), IoT '20 Companion: 10th International Conference on the Internet of Things Companion, Malmö Sweden, October 6-9, 2020, pages 15:1–15:4, 2020. ACM
On the Use of Air Quality Microsensors for Supporting Decision Makers [link]Paper   doi   link   bibtex  
Fallbasiertes Schließen. Bergmann, R.; Minor, M.; Bach, K.; Althoff, K.; and Muñoz-Avila, H. In Görz, G.; Schmid, U.; and Braun, T., editor(s), Handbuch der Künstlichen Intelligenz, 6. Auflage, pages 343–394. De Gruyter, 2020.
Fallbasiertes Schließen [link]Paper   doi   link   bibtex  
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. Bach, K.; Bunescu, R. C.; Marling, C.; and Wiratunga, N., editors. Volume 2675, of CEUR Workshop Proceedings.CEUR-WS.org. 2020.
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 [link]Paper   link   bibtex  
Learning similarity measures from data. Mathisen, B. M.; Aamodt, A.; Bach, K.; and Langseth, H. CoRR, abs/2001.05312. 2020.
Learning similarity measures from data [link]Paper   link   bibtex  
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. CoRR, abs/2010.04112. 2020.
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning [link]Paper   link   bibtex  
FishNet: A Unified Embedding for Salmon Recognition. Mathisen, B. M.; Bach, K.; Meidell, E.; Måløy, H.; and Sjøblom, E. S. CoRR, abs/2010.10475. 2020.
FishNet: A Unified Embedding for Salmon Recognition [link]Paper   link   bibtex  
  2019 (11)
Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Bach, K.; Marling, C.; Mork, P. J.; Aamodt, A.; Mair, F. S.; and Nicholl, B. I. J. Intell. Inf. Syst., 52(2): 269–284. 2019.
Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain [link]Paper   doi   link   bibtex  
Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. Jaiswal, A.; Bach, K.; Meisingset, I.; and Vasseljen, O. In Barták, R.; and Brawner, K. W., editor(s), Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019, pages 359–363, 2019. AAAI Press
Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach [link]Paper   link   bibtex  
A Data-Driven Approach for Determining Weights in Global Similarity Functions. Jaiswal, A.; and Bach, K. In Bach, K.; and Marling, C., editor(s), Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings, volume 11680, of Lecture Notes in Computer Science, pages 125–139, 2019. Springer
A Data-Driven Approach for Determining Weights in Global Similarity Functions [link]Paper   doi   link   bibtex  
Workshop preface. Bach, K. In Kapetanakis, S.; and Borck, H., editor(s), 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), Otzenhausen, Germany, September 8-12, 2019, volume 2567, of CEUR Workshop Proceedings, pages 143, 2019. CEUR-WS.org
Workshop preface [pdf]Paper   link   bibtex  
Demonstrating the myCBR Rest API. Bach, K.; Mathisen, B. M.; and Jaiswal, A. In Kapetanakis, S.; and Borck, H., editor(s), 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), Otzenhausen, Germany, September 8-12, 2019, volume 2567, of CEUR Workshop Proceedings, pages 144–155, 2019. CEUR-WS.org
Demonstrating the myCBR Rest API [pdf]Paper   link   bibtex  
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. Murad, A.; Bach, K.; Kraemer, F. A.; and Taylor, G. In Proceedings of the 9th International Conference on the Internet of Things, IoT 2019, Bilbao, Spain, October 22-25, 2019, pages 37:1–37:4, 2019. ACM
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning [link]Paper   doi   link   bibtex  
Visual analytics for exploring air quality data in an AI-enhanced IoT environment. Kalamaras, I.; Xygonakis, I.; Glykos, K.; Akselsen, S.; Munch-Ellingsen, A.; Nguyen, H. T.; Lepperod, A. J.; Bach, K.; Votis, K.; and Tzovaras, D. In Chbeir, R.; Manolopoulos, Y.; Ilarri, S.; and Papadopoulos, A., editor(s), 11th International Conference on Management of Digital EcoSystems, MEDES 2019, Limassol, Cyprus, November, 2019, pages 103–110, 2019. ACM
Visual analytics for exploring air quality data in an AI-enhanced IoT environment [link]Paper   doi   link   bibtex  
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. In 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019, Umea, Sweden, June 16-20, 2019, pages 43–51, 2019. IEEE
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning [link]Paper   doi   link   bibtex  
Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings. Bach, K.; and Marling, C., editors. Volume 11680, of Lecture Notes in Computer Science.Springer. 2019.
Case-Based Reasoning Research and Development - 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings [link]Paper   doi   link   bibtex  
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. Murad, A.; Kraemer, F. A.; Bach, K.; and Taylor, G. CoRR, abs/1905.04181. 2019.
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning [link]Paper   link   bibtex  
Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach. Verma, D.; Bach, K.; and Mork, P. J. CoRR, abs/1905.08581. 2019.
Similarity Measure Development for Case-Based Reasoning- A Data-driven Approach [link]Paper   link   bibtex  
  2018 (7)
The 25th International Conference on Case-Based Reasoning. Aha, D. W.; Bach, K.; Gundersen, O. E.; and Lieber, J. AI Mag., 39(2): 79–80. 2018.
The 25th International Conference on Case-Based Reasoning [link]Paper   doi   link   bibtex  
From Data to Context Aware Decision Making Challenges and Opportunities. Bach, K. In Nalepa, G. J.; Julián, V.; Méndez, J. T. P.; Costa, Â.; Carrascosa, C.; and Novais, P., editor(s), Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2018), Valencia, Spain, April 19-20, 2018, volume 2166, of CEUR Workshop Proceedings, 2018. CEUR-WS.org
From Data to Context Aware Decision Making Challenges and Opportunities [pdf]Paper   link   bibtex  
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System. Nikpour, H.; Aamodt, A.; and Bach, K. In Cox, M. T.; Funk, P.; and Begum, S., editor(s), Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, Stockholm, Sweden, July 9-12, 2018, Proceedings, volume 11156, of Lecture Notes in Computer Science, pages 323–338, 2018. Springer
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System [link]Paper   doi   link   bibtex  
Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach. Verma, D.; Bach, K.; and Mork, P. J. In Cox, M. T.; Funk, P.; and Begum, S., editor(s), Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, Stockholm, Sweden, July 9-12, 2018, Proceedings, volume 11156, of Lecture Notes in Computer Science, pages 415–430, 2018. Springer
Modelling Similarity for Comparing Physical Activity Profiles - A Data-Driven Approach [link]Paper   doi   link   bibtex  
Cassification of Movement Quality in A Weight-shifting Exercise. Vonstad, E. K.; Su, X.; Vereijken, B.; Nilsen, J. H.; and Bach, K. In Bach, K.; Bunescu, R. C.; Farri, O.; Guo, A.; Hasan, S. A.; Ibrahim, Z. M.; Marling, C.; Raffa, J.; Rubin, J.; and Wu, H., editor(s), 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, volume 2148, of CEUR Workshop Proceedings, pages 27–32, 2018. CEUR-WS.org
Cassification of Movement Quality in A Weight-shifting Exercise [pdf]Paper   link   bibtex  
Knowledge Engineering for Distributed Case-Based Reasoning Systems. Bach, K. In Nalepa, G. J.; and Baumeister, J., editor(s), Synergies Between Knowledge Engineering and Software Engineering, volume 626, of Advances in Intelligent Systems and Computing, pages 129–147. Springer, 2018.
Knowledge Engineering for Distributed Case-Based Reasoning Systems [link]Paper   doi   link   bibtex  
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. Bach, K.; Bunescu, R. C.; Farri, O.; Guo, A.; Hasan, S. A.; Ibrahim, Z. M.; Marling, C.; Raffa, J.; Rubin, J.; and Wu, H., editors. Volume 2148, of CEUR Workshop Proceedings.CEUR-WS.org. 2018.
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 [link]Paper   link   bibtex  
  2017 (3)
Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety. Prestmo, T.; Bach, K.; Aamodt, A.; and Mork, P. J. In Aha, D. W.; and Lieber, J., editor(s), Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Trondheim, Norway, June 26-28, 2017, Proceedings, volume 10339, of Lecture Notes in Computer Science, pages 272–286, 2017. Springer
Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety [link]Paper   doi   link   bibtex  
IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. Skjold, K.; Øynes, M.; Bach, K.; and Aamodt, A. In Sánchez-Ruiz, A. A.; and Kofod-Petersen, A., editor(s), Proceedings of ICCBR 2017 Workshops (CAW, CBRDL, PO-CBR), Doctoral Consortium, and Competitions co-located with the 25th International Conference on Case-Based Reasoning (ICCBR 2017), Trondheim, Norway, June 26-28, 2017, volume 2028, of CEUR Workshop Proceedings, pages 277–284, 2017. CEUR-WS.org
IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process [pdf]Paper   link   bibtex  
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. Ibrahim, Z. M.; Wu, H.; Bach, K.; Dobson, R. J. B.; Denaxas, S. C.; Wiratunga, N.; Massie, S.; and Sani, S., editors. Volume 1891, of CEUR Workshop Proceedings.CEUR-WS.org. 2017.
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 [link]Paper   link   bibtex  
  2016 (5)
Evaluation of Explanations Extracted from Textual Reports. Sizov, G.; Öztürk, P.; and Bach, K. In Markov, Z.; and Russell, I., editor(s), Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, USA, May 16-18, 2016, pages 425–429, 2016. AAAI Press
Evaluation of Explanations Extracted from Textual Reports [link]Paper   link   bibtex  
Case Representation and Similarity Assessment in the selfBACK Decision Support System. Bach, K.; Szczepanski, T.; Aamodt, A.; Gundersen, O. E.; and Mork, P. J. In Goel, A. K.; Díaz-Agudo, M. B.; and Roth-Berghofer, T., editor(s), Case-Based Reasoning Research and Development - 24th International Conference, ICCBR 2016, Atlanta, GA, USA, October 31 - November 2, 2016, Proceedings, volume 9969, of Lecture Notes in Computer Science, pages 32–46, 2016. Springer
Case Representation and Similarity Assessment in the selfBACK Decision Support System [link]Paper   doi   link   bibtex  
Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data. Szczepanski, T.; Bach, K.; and Aamodt, A. In Coman, A.; and Kapetanakis, S., editor(s), Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31 - November 2, 2016, volume 1815, of CEUR Workshop Proceedings, pages 173–177, 2016. CEUR-WS.org
Challenges for the Similarity-Based Comparison of Human Physical Activities Using Time Series Data [pdf]Paper   link   bibtex  
Case Representation and Similarity Assessment in the selfBACK Decision Support System. Bach, K.; Szczepanski, T.; Aamodt, A.; Gundersen, O. E.; and Mork, P. J. In Krestel, R.; Mottin, D.; and Müller, E., editor(s), Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", Potsdam, Germany, September 12-14, 2016, volume 1670, of CEUR Workshop Proceedings, pages 153–154, 2016. CEUR-WS.org
Case Representation and Similarity Assessment in the selfBACK Decision Support System [pdf]Paper   link   bibtex  
Can Data-driven Self-Management Reduce Low Back Pain?. Bach, K.; Mork, P. J.; and Aamodt, A. ERCIM News, 2016(104). 2016.
Can Data-driven Self-Management Reduce Low Back Pain? [link]Paper   link   bibtex  
  2014 (2)
Knowledge Modeling with the Open Source Tool myCBR. Bach, K.; Sauer, C. S.; Althoff, K.; and Roth-Berghofer, T. In Nalepa, G. J.; and Baumeister, J., editor(s), Proceedings of 10th Workshop on Knowledge Engineering and Software Engineering (KESE10) co-located with 21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic, August 19 2014, volume 1289, of CEUR Workshop Proceedings, 2014. CEUR-WS.org
Knowledge Modeling with the Open Source Tool myCBR [pdf]Paper   link   bibtex  
Automatic Case Capturing for Problematic Drilling Situations. Bach, K.; Gundersen, O. E.; Knappskog, C.; and Öztürk, P. In Lamontagne, L.; and Plaza, E., editor(s), Case-Based Reasoning Research and Development - 22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014 - October 1, 2014. Proceedings, volume 8765, of Lecture Notes in Computer Science, pages 48–62, 2014. Springer
Automatic Case Capturing for Problematic Drilling Situations [link]Paper   doi   link   bibtex  
  2013 (1)
Knowledge Acquisition for Case-Based Reasoning Systems. Bach, K. Ph.D. Thesis, Heidelberg University, 2013.
Knowledge Acquisition for Case-Based Reasoning Systems [link]Paper   link   bibtex  
  2012 (3)
A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Bach, K.; Schäfer, D.; Enke, N.; Seeger, B.; Gemeinholzer, B.; and Bendix, J. Ecol. Informatics, 11: 16–24. 2012.
A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research [link]Paper   doi   link   bibtex  
The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data -. Enke, N.; Thessen, A. E.; Bach, K.; Bendix, J.; Seeger, B.; and Gemeinholzer, B. Ecol. Informatics, 11: 25–33. 2012.
The user's view on biodiversity data sharing - Investigating facts of acceptance and requirements to realize a sustainable use of research data - [link]Paper   doi   link   bibtex  
Developing Case-Based Reasoning Applications Using myCBR 3. Bach, K.; and Althoff, K. In Díaz-Agudo, B.; and Watson, I., editor(s), Case-Based Reasoning Research and Development - 20th International Conference, ICCBR 2012, Lyon, France, September 3-6, 2012. Proceedings, volume 7466, of Lecture Notes in Computer Science, pages 17–31, 2012. Springer
Developing Case-Based Reasoning Applications Using myCBR 3 [link]Paper   doi   link   bibtex  
  2011 (5)
Knowledge engineering within the application-independent architecture SEASALT. Reichle, M.; Bach, K.; and Althoff, K. Int. J. Knowl. Eng. Data Min., 1(3): 202–215. 2011.
Knowledge engineering within the application-independent architecture SEASALT [link]Paper   doi   link   bibtex  
A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports. Bach, K.; Althoff, K.; Newo, R.; and Stahl, A. In Ram, A.; and Wiratunga, N., editor(s), Case-Based Reasoning Research and Development - 19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011. Proceedings, volume 6880, of Lecture Notes in Computer Science, pages 363–377, 2011. Springer
A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports [link]Paper   doi   link   bibtex  
SEASALTexp- An Explanation-aware Architecture for Extracting and Case-Based Processing of Experiences from Internet Communities. Roth-Berghofer, T.; Sauer, C. S.; Althoff, K.; Bach, K.; and Newo, R. In Spiliopoulou, M.; Nürnberger, A.; and Schult, R., editor(s), Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011, pages 274–277, 2011. Fakultät für Informatik, Otto-von-Guericke-Universität Magdeburg
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GWEM 2011 - German Workshop on Experience Management. Bach, K.; and Roth-Berghofer, T. In Maier, R., editor(s), 6th Conference on Professional Knowledge Management: From Knowledge to Action, February 21-23, 2011 in Innsbruck, Austria, volume P-182, of LNI, pages 191–193, 2011. GI
GWEM 2011 - German Workshop on Experience Management [link]Paper   link   bibtex  
Case-Based Menu Creation as an Example of Individualized Experience Management. Bach, K.; Reuss, P.; and Althoff, K. In Maier, R., editor(s), 6th Conference on Professional Knowledge Management: From Knowledge to Action, February 21-23, 2011 in Innsbruck, Austria, volume P-182, of LNI, pages 194–203, 2011. GI
Case-Based Menu Creation as an Example of Individualized Experience Management [link]Paper   link   bibtex  
  2010 (2)
Knowledge Acquisition for Simulating Complex Psychological Processes. Newo, R.; Bach, K.; and Althoff, K. In Nalepa, G. J.; and Baumeister, J., editor(s), Proceedings of the 6th Workshop on Knowledge Engineering and Software Engineering, Karlsruhe, Germany, September 21, 2010, volume 636, of CEUR Workshop Proceedings, 2010. CEUR-WS.org
Knowledge Acquisition for Simulating Complex Psychological Processes [pdf]Paper   link   bibtex  
Integration of Linked Open Data in Case-Based Reasoning Systems. Sauer, C. S.; Bach, K.; and Althoff, K. In Atzmueller, M.; Benz, D.; Hotho, A.; and Stumme, G., editor(s), LWA 2010 - Lernen, Wissen & Adaptivität, Workshop Proceedings, Kassel, 4.-6. Oktober 2010, pages 269–273, 2010.
Integration of Linked Open Data in Case-Based Reasoning Systems [pdf]Paper   link   bibtex  
  2009 (8)
Case-Based Reasoning. Bergmann, R.; Althoff, K.; Minor, M.; Reichle, M.; and Bach, K. Künstliche Intell., 23(1): 5–11. 2009.
Case-Based Reasoning [pdf]Paper   link   bibtex  
CookIIS - Competing in the First Computer Cooking Contest. Hanft, A.; Ihle, N.; Bach, K.; and Newo, R. Künstliche Intell., 23(1): 30–33. 2009.
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Interview with Pádraig Cunningham and Barry Smyth. Althoff, K.; and Bach, K. Künstliche Intell., 23(1): 38–41. 2009.
Interview with Pádraig Cunningham and Barry Smyth [pdf]Paper   link   bibtex  
MATES 2008. Bach, K.; and Reichle, M. Künstliche Intell., 23(1): 65. 2009.
MATES 2008 [pdf]Paper   link   bibtex  
A Value Supplementation Method for Case Bases with Incomplete Information. Bach, K.; Reichle, M.; and Althoff, K. In McGinty, L.; and Wilson, D. C., editor(s), Case-Based Reasoning Research and Development, 8th International Conference on Case-Based Reasoning, ICCBR 2009, Seattle, WA, USA, July 20-23, 2009, Proceedings, volume 5650, of Lecture Notes in Computer Science, pages 389–402, 2009. Springer
A Value Supplementation Method for Case Bases with Incomplete Information [link]Paper   doi   link   bibtex  
The SEASALT Architecture and Its Realization within the docQuery Project. Reichle, M.; Bach, K.; and Althoff, K. In Mertsching, B.; Hund, M.; and Aziz, M. Z., editor(s), KI 2009: Advances in Artificial Intelligence, 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009. Proceedings, volume 5803, of Lecture Notes in Computer Science, pages 556–563, 2009. Springer
The SEASALT Architecture and Its Realization within the docQuery Project [link]Paper   doi   link   bibtex  
Management of Distributed Knowledge Sources for Complex Application Domains. Reichle, M.; Bach, K.; Reichle-Schmehl, A.; and Althoff, K. In Hartmann, M.; and Janssen, F., editor(s), LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, 21.-23. September 2009, volume TUD-CS-2009-0157/TUD-KE-2009-04, pages FGWM:38, 2009. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany
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Management of Distributed Knowledge Sources for Complex Application Domains. Reichle, M.; Bach, K.; Reichle-Schmehl, A.; and Althoff, K. In Hinkelmann, K.; and Wache, H., editor(s), Fifth Conference Professional Knowledge Management: Experiences and Visions, March 25-27, 2009 in Solothurn, Switzerland, volume P-145, of LNI, pages 128–138, 2009. GI
Management of Distributed Knowledge Sources for Complex Application Domains [link]Paper   link   bibtex  
  2008 (4)
Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. Hüllermeier, E.; Richter, M. M.; Weber, R.; Bach, K.; and Petridis, M. In Schaaf, M., editor(s), ECCBR 2008, The 9th European Conference on Case-Based Reasoning, Trier, Germany, September 1-4, 2008, Workshop Proceedings, pages 117–118, 2008.
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Realising a CBR-based approach for Computer Cooking Contest with e: IAS. Hanft, A.; Ihle, N.; Bach, K.; Newo, R.; and Mänz, J. In Schaaf, M., editor(s), ECCBR 2008, The 9th European Conference on Case-Based Reasoning, Trier, Germany, September 1-4, 2008, Workshop Proceedings, pages 249–258, 2008.
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Realizing Modularized Knowledge Models for Heterogeneous Application Domains. Althoff, K.; Bach, K.; and Reichle, M. In Perner, P., editor(s), Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 16-18, 2008, Proceedings, volume 5077, of Lecture Notes in Computer Science, pages 114–128, 2008. Springer
Realizing Modularized Knowledge Models for Heterogeneous Application Domains [link]Paper   doi   link   bibtex  
Improving Result Adaptation through 2-step Retrieval. Reichle, M.; and Bach, K. In Nalepa, G. J.; and Baumeister, J., editor(s), Proceedings of the 4th Workshop on Knowledge Engineering and Software Engineering (KESE-2008) at the 31st German Conference on Artificial Intelligence, Kaiserslautern, Germany, September 23, 2008, volume 425, of CEUR Workshop Proceedings, 2008. CEUR-WS.org
Improving Result Adaptation through 2-step Retrieval [pdf]Paper   link   bibtex  
  2007 (3)
Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems. Althoff, K.; Bach, K.; Deutsch, J.; Hanft, A.; Mänz, J.; Müller, T.; Newo, R.; Reichle, M.; Schaaf, M.; and Weis, K. In Baumeister, J.; and Seipel, D., editor(s), Proceedings of the 3rd Workshop on Knowledge Engineering and Software Engineering (KESE 2007) at the 30th German Conference on Artificial Intelligence (KI-2007), Osnabrück, Germany, September 10, 2007, volume 282, of CEUR Workshop Proceedings, 2007. CEUR-WS.org
Collaborative Multi-Expert-Systems - Realizing Knowledge-Lines with Case Factories and Distributed Learning Systems [pdf]Paper   link   bibtex  
A Domain Independent System Architecture for Sharing Experience. Bach, K.; Reichle, M.; and Althoff, K. In Hinneburg, A., editor(s), LWA 2007: Lernen - Wissen - Adaption, Halle, Deutschland, September 2007, Workshop Proceedings, pages 296–303, 2007. Martin-Luther-University Halle-Wittenberg
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TCR - Textual Coverage Rate. Bach, K.; and Hanft, A. In Hinneburg, A., editor(s), LWA 2007: Lernen - Wissen - Adaption, Halle, Deutschland, September 2007, Workshop Proceedings, pages 312–317, 2007. Martin-Luther-University Halle-Wittenberg
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