All Outputs (14)

Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning (2025)
Presentation / Conference Contribution
Milton, T., & Lieck, R. (2024, December). Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning. Presented at 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal

Type 1 diabetes is a chronic metabolic disease that requires regular insulin injections to regulate blood glucose levels. Recently, traditional manual approaches to diabetes management have been revolutionized by the use of continuous glucose monitor... Read More about Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning.

Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games (2021)
Presentation / Conference Contribution
Lieck, R., Wall, L., & Rohrmeier, M. A. (2021, December). Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games. Presented at Proceedings of the Annual Meeting of the Cognitive Science Society, Vienna, Austria

Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks (2021)
Presentation / Conference Contribution
Lieck, R., & Rohrmeier, M. (2021, December). Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. Presented at Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021

AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation (2020)
Presentation / Conference Contribution
Jaccard, T., Lieck, R., & Rohrmeier, M. (2020, December). AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation. Presented at International Conference on New Interfaces for Musical Expression, Birmingham, United Kingdom

Modelling Hierarchical Key Structure With Pitch Scapes (2020)
Presentation / Conference Contribution
Lieck, R., & Rohrmeier, M. (2020, December). Modelling Hierarchical Key Structure With Pitch Scapes. Presented at Proceedings of the 21st International Society for Music Information Retrieval Conference, Montréal, Canada

A Model Comparison for Chord Prediction on the Annotated Beethoven Corpus (2019)
Presentation / Conference Contribution
Landsnes, K., Mehrabyan, L., Wiklund, V., Lieck, R., Moss, F. C., & Rohrmeier, M. (2019, May). A Model Comparison for Chord Prediction on the Annotated Beethoven Corpus. Presented at Proceedings of the 16th Sound \& Music Computing Conference, Málaga, Spain

Feature Discovery for Sequential Prediction of Monophonic Music (2017)
Presentation / Conference Contribution
Langhabel, J., Lieck, R., Toussaint, M., & Rohrmeier, M. (2017, December). Feature Discovery for Sequential Prediction of Monophonic Music. Presented at Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China

Active Tree Search (2017)
Presentation / Conference Contribution
Lieck, R., & Toussaint, M. (2017, December). Active Tree Search. Presented at ICAPS Workshop on Planning, Search, and Optimization

Exploiting Variance Information in Monte-Carlo Tree Search (2017)
Presentation / Conference Contribution
Lieck, R., Ngo, V., & Toussaint, M. (2017, December). Exploiting Variance Information in Monte-Carlo Tree Search. Presented at ICAPS Workshop on Heuristics and Search for Domain-independent Planning

Cross-Entropy as a Criterion for Robust Interactive Learning of Latent Properties (2016)
Presentation / Conference Contribution
Kulick, J., Lieck, R., & Toussaint, M. (2016, December). Cross-Entropy as a Criterion for Robust Interactive Learning of Latent Properties. Presented at NIPS Workshop on the Future of Interactive Learning Machines

Discovering Temporally Extended Features for Reinforcement Learning in Domains with Delayed Causalities (2015)
Presentation / Conference Contribution
Lieck, R., & Toussaint, M. (2015, December). Discovering Temporally Extended Features for Reinforcement Learning in Domains with Delayed Causalities. Presented at European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Kinematic Comparison Between Gender Specific and Traditional Femoral Implants (2012)
Presentation / Conference Contribution
Saevarsson, S., Sharma, G., Montgomery, S., Ho, K., Ramm, H., Lieck, R., Zachow, S., Hutchison, C., Werle, J., & Anglin, C. (2012, December). Kinematic Comparison Between Gender Specific and Traditional Femoral Implants. Presented at 67th Canadian Orthopaedic Association (COA) Annual Meeting

Knee Pose and Geometry Pre- and Post-Total Knee Arthroplasty Using Computed Tomography (2012)
Presentation / Conference Contribution
Sharma, G., Ho, K., Saevarsson, S., Ramm, H., Lieck, R., Zachow, S., & Anglin, C. (2012, December). Knee Pose and Geometry Pre- and Post-Total Knee Arthroplasty Using Computed Tomography. Presented at 58th Annual Meeting of the Orthopaedic Research Society (ORS)

Kinematic Comparison Between Gender Specific and Traditional Femoral Implants (2011)
Presentation / Conference Contribution
Saevarsson, S., Sharma, G. B., Montgomery, S. J., Ho, K., Ramm, H., Lieck, R., Zachow, S., & Anglin, C. (2011, December). Kinematic Comparison Between Gender Specific and Traditional Femoral Implants. Presented at Proceedings of the 11th Alberta Biomedical Engineering (BME) Conference (Poster)