Role
Dr Doratha Vinkemeier is a Lecturer in the School of Computer Science. She is currently module leader for Applied Maths and Graphics.
Research areas
- Machine Learning
- Theoretical Computer Science
- Computer Vision
- Affective Computing
Publications
2023
Supervised Contrastive Learning with Identity-Label Embeddings for Facial Action Unit Recognition.
Lian Tangzheng, David Adama, Pedro Machado, Doratha Vinkemeier
British Machine Vision Conference (BMVC) 2023, Aberdeen. In press
A family-wide assessment of latent STAT transcription factor interactions reveals divergent dimer repertoires.
Andreas Begitt, Sebastian Krause, James Cavey, Doratha Vinkemeier and Uwe Vinkemeier. Journal of Biological Chemistry, 2023 May; 299(5) 104705
A review of applications of artificial intelligence in veterinary medicine.
Amy Owens, Doratha Vinkemeier, Hany Elsheikha
Companion animal, April–June 2023, Vol 28 No 6, 78-85
2020
Exploring deception using automatically detected facial action units
D. Vinkemeier, PhD Thesis
2018
Predicting Folds in Poker Using Action Unit Detectors and Decision Trees
D. Vinkemeier, M. Valstar and J. Gratch, Proceedings of the13th IEEE International Conference on Automatic Face and Gesture Recognition FG 2018, 504-511
2006
Approximating weighted Matchings in Parallel .
S. Hougardy and D Vinkemeier, Information Processing Letters 99, 119-123
2005
A Linear Time Approximation Algorithm for Weighted Matchings in Graphs.
S. Hougardy and D. Vinkemeier, ACM Transactions on Algorithms 1, 107-122
2004
On Approximation Algorithms for the Terminal Steiner Tree Problem
S. Hougardy and D. Vinkemeier, Information Processing Letters 89, 15-18
2003
A Simple Approximation Algorithm for the Weighted Matching Problem
S. Hougardy and D. Drake, Information Processing Letters 85, 211-213
Improved Linear Time Algorithms for Weighted Matchings
S. Hougardy and D. Drake, Approx/Random, Lecture Notes in Computer Science, Vol. 2764, 14-23
Linear Time Local Improvements for Weighted Matchings in Graphs
D. Hougardy and D. Drake, Lecture Notes in Computer Science,
Vol. 2647, 107-119