Research output per year
Research output per year
Personal profile
Contact Info
School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT
e-mail: [email protected]
Research
Pattern Recognition, Machine Learning
Teaching and Supervision
ICP1016 Mathematics for Computing
ICP2021 Algorithm Design with MATLAB
ICP3083 Pattern Recognition and Neural Networks
ICP3099 Final Year Project
Related documents
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Animal re-identification in video through track clustering
Williams, F., Hennessey, S. & Kuncheva, L., 19 Jun 2025, In: Pattern Analysis and Applications. 28, 3Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A Constrained Cluster Ensemble Using Hierarchical Clustering Methods
Williams, F., Kuncheva, L., Hennessey, S., Diez-Pastor, J. & Rodriguez, J., Aug 2024.Research output: Contribution to conference › Paper › peer-review
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Hierarchical Vs Centroid-Based Constraint Clustering for Animal Video Data
Hennessey, S., Williams, F. & Kuncheva, L., 29 Aug 2024. 6 p.Research output: Contribution to conference › Paper › peer-review
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Semi-Supervised Classification With Pairwise Constraints: A Case Study on Animal Identification from Video
Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 Apr 2024, In: Information Fusion. 104, 102188.Research output: Contribution to journal › Article › peer-review
Open Access -
A benchmark database for animal re-identification and tracking
Kuncheva, L., Hennessey, S., Williams, F. & Rodriguez, J., 6 Dec 2023, Proc. of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Projects
- 3 Finished
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Prototype Selection from Streaming, Drifting and Partly Labelled Data
Kuncheva, L. (PI)
1/12/15 → 1/08/19
Project: Research
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