Outputs (255)

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications (2021)
Presentation / Conference Contribution
Li, L., Ismail, K. N., Shum, H. P., & Breckon, T. P. (2021, December). DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. Presented at International Conference on 3D Vision, Surrey / Online

We present DurLAR, a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient (near infrared) and reflectivity imagery, as well as a sample benchmark task using depth estimation for autonomous driving applications. Our driving platform is eq... Read More about DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.

Stability Analysis of a Quantum Network with Max-Weight Scheduling (2021)
Other
Vasantam, T., & Towsley, D. (2021). Stability Analysis of a Quantum Network with Max-Weight Scheduling

Exploring the use of Twitter data to better understand church attendance (2021)
Thesis
Cooper, A.-P. Exploring the use of Twitter data to better understand church attendance. (Thesis). [Awarding Organisation: Unknown]. https://durham-repository.worktribe.com/output/1647153

Efficient Deterministic Leader Election for Programmable Matter (2021)
Presentation / Conference Contribution
Dufoulon, F., Kutten, S., & Moses Jr., W. K. (2021, December). Efficient Deterministic Leader Election for Programmable Matter. Presented at Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing

Modeling Autonomic Systems in the time of ML, DevOps and Microservices (2021)
Presentation / Conference Contribution
Bencomo, N. (2021, December). Modeling Autonomic Systems in the time of ML, DevOps and Microservices. Presented at ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS 2021 Companion, Fukuoka, Japan, October 10-15, 2021

Evidence for Teaching Practices that Broaden Participation for Women in Computing (2021)
Presentation / Conference Contribution
Morrison, B. B., Quinn, B. A., Bradley, S., Buffardi, K., Harrington, B., Hu, H. H., Kallia, M., McNeill, F., Ola, O., Parker, M., Rosato, J., & Waite, J. (2021, December). Evidence for Teaching Practices that Broaden Participation for Women in Computing. Presented at Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education

Computing has, for many years, been one of the least demographically diverse STEM fields, particularly in terms of women's participation [12, 36]. The last decade has seen a proliferation of research exploring new teaching techniques and their effect... Read More about Evidence for Teaching Practices that Broaden Participation for Women in Computing.

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain (2021)
Journal Article
Wang, Y., Xia, Z., Deng, J., Xie, X., Gong, M., & Ma, X. (2021). TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinformatics, 22(9), 1-15. https://doi.org/10.1186/s12859-021-04190-9

The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing (2021)
Journal Article
Tomalin, M., Byrne, B., Concannon, S., Saunders, D., & Ullmann, S. (2021). The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing. Ethics and Information Technology, 23(3), https://doi.org/10.1007/s10676-021-09583-1

Optimal dispersion on an anonymous ring in the presence of weak Byzantine robots (2021)
Journal Article
Molla, A. R., Mondal, K., & Moses Jr., W. K. (2021). Optimal dispersion on an anonymous ring in the presence of weak Byzantine robots. Theoretical Computer Science, 887, https://doi.org/10.1016/j.tcs.2021.07.008

RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., Hurtado, C. M. C., & Fredericks, E. M. (2021, December). RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. Presented at 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 2021