Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation
(2024)
Journal Article
Zhang, F. X., Deng, J., Lieck, R., & Shum, H. P. (online). Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation. IEEE Transactions on Medical Robotics and Bionics, https://doi.org/10.1109/TMRB.2024.3517137
Dr Robert Lieck's Outputs (10)
Computational modeling of interval distributions in tonal space reveals paradigmatic stylistic changes in Western music history (2024)
Journal Article
Moss, F. C., Lieck, R., & Rohrmeier, M. (2024). Computational modeling of interval distributions in tonal space reveals paradigmatic stylistic changes in Western music history. Humanities and Social Sciences Communications, 11(1), Article 684. https://doi.org/10.1057/s41599-024-03168-1Diachronic stylistic changes in music are to a large extent affected by composers’ different choices, for example regarding the usage of tones, intervals, and harmonies. Analyzing the tonal content of pieces of music and observing them over time is t... Read More about Computational modeling of interval distributions in tonal space reveals paradigmatic stylistic changes in Western music history.
Discretisation and Continuity: The Emergence of Symbols in Communication (2021)
Journal Article
Lieck, R., & Rohrmeier, M. (2021). Discretisation and Continuity: The Emergence of Symbols in Communication. Cognition, 215, https://doi.org/10.1016/j.cognition.2021.104787
The Tonal Diffusion Model (2020)
Journal Article
Lieck, R., Moss, F. C., & Rohrmeier, M. (2020). The Tonal Diffusion Model. Transactions of the International Society for Music Information Retrieval, 3(1), 153-164. https://doi.org/10.5334/tismir.46
The Impact of Voice Leading and Harmony on Musical Expectancy (2020)
Journal Article
Wall, L., Lieck, R., Neuwirth, M., & Rohrmeier, M. (2020). The Impact of Voice Leading and Harmony on Musical Expectancy. Scientific Reports, 10(1), 1-8. https://doi.org/10.1038/s41598-020-61645-4
How Do We Build Practical Systems Involving Ethics and Trust? (2019)
Journal Article
Dennis, L. A., Tubella, A. A., Chatila, R., Duijf, H., Dyoub, A., Eder, K. I., Horty, J. F., Köhl, M., Lieck, R., & Singh, M. P. (2019). How Do We Build Practical Systems Involving Ethics and Trust?. Dagstuhl Reports, 9(4), 59-86. https://doi.org/10.4230/dagrep.9.4.59
Temporally Extended Features in Model-Based Reinforcement Learning with Partial Observability (2016)
Journal Article
Lieck, R., & Toussaint, M. (2016). Temporally Extended Features in Model-Based Reinforcement Learning with Partial Observability. Neurocomputing, 192, 49-60. https://doi.org/10.1016/j.neucom.2015.12.107
Kinematic Differences Between Gender Specific and Traditional Knee Implants (2013)
Journal Article
Saevarsson, S. K., Sharma, G. B., Ramm, H., Lieck, R., Hutchison, C. R., Werle, J., Matthiasdottir, S., Montgomery, S. J., Romeo, C. I., Zachow, S., & Anglin, C. (2013). Kinematic Differences Between Gender Specific and Traditional Knee Implants. Journal of Arthroplasty, 28(9), 1543-1550. https://doi.org/10.1016/j.arth.2013.01.021
Radiological Method for Measuring Patellofemoral Tracking and Tibiofemoral Kinematics before and after Total Knee Replacement (2012)
Journal Article
Sharma, G., Saevarsson, S., Amiri, S., Montgomery, S., Ramm, H., Lichti, D., Lieck, R., Zachow, S., & Anglin, C. (2012). Radiological Method for Measuring Patellofemoral Tracking and Tibiofemoral Kinematics before and after Total Knee Replacement. Bone & Joint Research, 1(10), 263-271. https://doi.org/10.1302/2046-3758.110.2000117
Computed Tomography Analysis of Knee Pose and Geometry before and after Total Knee Arthroplasty (2012)
Journal Article
Ho, K., Saevarsson, S. K., Ramm, H., Lieck, R., Zachow, S., Sharma, G. B., Rex, E., Amiri, S., Wu, B., Leumann, A., & Anglin, C. (2012). Computed Tomography Analysis of Knee Pose and Geometry before and after Total Knee Arthroplasty. Journal of Biomechanics, 45(13), 2215-2221. https://doi.org/10.1016/j.jbiomech.2012.06.004