Bangor University
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Classifier ensembles for detecting concept change in streaming data: Overview and perspectives
Kuncheva, L. I., 1 Jan 2008, p. 5-10.Research output: Contribution to conference › Paper
- Published
A fuzzy model of heavy metal loadings in marine environment.
Kuncheva, L. I., Wrench, J., Jain, L. C., Al-Zaidan, A. S., Ruan, D. (ed.), Kacprzyk, J. (ed.) & Fedrizzi, M. (ed.), 1 Jan 2001, Soft Computing for Risk Assessment and Management. 2001 ed. Unknown, p. 355-371Research output: Chapter in Book/Report/Conference proceeding › Chapter
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`Fuzzy' vs `Non-fuzzy' in combining classifiers designed by boosting.
Kuncheva, L. I., 1 Dec 2003, In: IEEE Transactions on Fuzzy Systems. 11, 6, p. 729-741Research output: Contribution to journal › Article › peer-review
- Published
Using measures of similarity and inclusion for multiple classifier fusion by decision templates
Kuncheva, L. I., 16 Sept 2001, In: Fuzzy Sets and Systems. 122, 3, p. 401-407Research output: Contribution to journal › Article › peer-review
- Published
`Fuzzy' vs `non-fuzzy' in combining classifiers: an experimental study.
Kuncheva, L. I., 1 Jan 2001, p. 11-22.Research output: Contribution to conference › Paper
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Occlusion Handling via Random Subspace Classifiers for Human Detection
Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., N. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354Research output: Contribution to journal › Article › peer-review
- Published
Complexity of data subsets generated by the random subspace method: An experimental investigation
Kuncheva, L. I., Roli, F., Marcialis, G. L. & Shipp, C. A., 1 Jan 2001, p. 349-358.Research output: Contribution to conference › Paper
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Decision templates for multiple classifier fusion: an experimental comparison.
Kuncheva, L. I., Bezdek, J. C. & Duin, R. P., 1 Feb 2001, In: Pattern Recognition. 34, 2, p. 299-314Research output: Contribution to journal › Article › peer-review
- Published
Random Subspace Ensembles for fMRI Classification.
Kuncheva, L. I., Rodriguez, J. J., Plumpton, C. O., Linden, D. E. & Johnston, S. J., 1 Feb 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 531-542Research output: Contribution to journal › Article › peer-review
- Published
A case-study on naive labelling for the nearest mean and the linear discriminant classifiers
Kuncheva, L. I., Whitaker, C. J. & Narasimhamurthy, A., 1 Oct 2008, In: Pattern Recognition. 41, 10, p. 3010-3020Research output: Contribution to journal › Article › peer-review
- Published
Classifier ensembles for fMRI data analysis: an experiment.
Kuncheva, L. I. & Rodriguez, J. J., 1 May 2010, In: Magnetic Resonance Imaging. 28, 4, p. 583-593Research output: Contribution to journal › Article › peer-review
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Diversity in multiple classifier systems.
Kuncheva, L. I., 1 Jan 2005, In: Information Fusion. 6, 1, p. 3-4Research output: Contribution to journal › Article › peer-review
- Published
An experimental study on Rotation Forest ensembles.
Kuncheva, L. I. & Rodriguez, J. J., 1 Jan 2007, p. 459-468.Research output: Contribution to conference › Paper
- Published
An experimental study on diversity for bagging and boosting with linear classifiers
Kuncheva, L. I., Skurichina, M. & Duin, R. P., 1 Jan 2003, In: Information Fusion. 3, 2, p. 245-258Research output: Contribution to journal › Article › peer-review
- Published
Using diversity in cluster ensembles.
Kuncheva, L. I. & Hadjitodorov, S. T., 1 Jan 2004, p. 1214-1219.Research output: Contribution to conference › Paper
- Published
Evaluation of stability of k-means cluster ensembles with respect to random initialization
Kuncheva, L. I. & Vetrov, D. P., 1 Nov 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 11, p. 1798-1808Research output: Contribution to journal › Article › peer-review
- Published
Error bounds for aggressive and conservative AdaBoost.
Kuncheva, L. I., 1 Jan 2003, p. 25-34.Research output: Contribution to conference › Paper
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Selection of independent binary features using probabilities: An example from veterinary medicine
Kuncheva, L. I., Hoare, Z. & Cockcroft, P. D., 1 Jan 2005, In: Journal of Modern Applied Statistical Methods. 4, 2, p. 528-537Research output: Contribution to journal › Article › peer-review
- Published
Diagnosing scrapie in sheep: A classification experiment.
Kuncheva, L. I., Vilas, V. J. & Rodriguez, J. J., 1 Aug 2007, In: Computers in Biology and Medicine. 37, 8, p. 1194-1202Research output: Contribution to journal › Article › peer-review
- Published
Combining Pattern Classifiers: Methods and Algorithms.
Kuncheva, L. I., 1 Jan 2004, Wiley.Research output: Book/Report › Book
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Classifier ensembles with a random linear oracle.
Kuncheva, L. I. & Rodriguez, J. J., 1 Apr 2007, In: IEEE Transactions on Knowledge and Data Engineering. 19, 4, p. 500-508Research output: Contribution to journal › Article › peer-review
- Published
A theoretical study on six classifier fusion strategies.
Kuncheva, L. I., 1 Feb 2002, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 2, p. 281-286Research output: Contribution to journal › Article › peer-review
- Published
Generating classifier outputs of fixed accuracy and diversity.
Kuncheva, L. I. & Kountchev, R. K., 1 Mar 2002, In: Pattern Recognition Letters. 23, 5, p. 593-600Research output: Contribution to journal › Article › peer-review
- Published
Ten measures of diversity in classifier ensembles: Limits for two classifiers.
Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001.Research output: Contribution to conference › Paper
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Pattern Recognition.
Kuncheva, L. I., Everitt, B. S. (ed.) & Howell, D. (ed.), 1 Jan 2005, Encyclopedia of Statistics in Behavioral Science. 2005 ed. Wiley, Vol. 3. p. 1532-1535Research output: Chapter in Book/Report/Conference proceeding › Chapter
- Published
Full-class set classification using the Hungarian algorithm.
Kuncheva, L. I., 1 Dec 2010, In: International Journal of Machine Learning and Cybernetics. 1, 1-4, p. 53-61Research output: Contribution to journal › Article › peer-review
- Published
Experimental comparison of cluster ensemble methods.
Kuncheva, L. I., Hadjitodorov, S. T. & Todorova, L. P., 1 Jan 2006.Research output: Contribution to conference › Paper
- Published
Automated kerogen classification in microscope images of dispersed kerogen preparation
Kuncheva, L. I., Charles, J. J., Miles, N., Collins, A., Wells, B. & Lim, I. S., 1 Aug 2008, In: Mathematical Geosciences. 40, 6, p. 639-652Research output: Contribution to journal › Article › peer-review
- Published
An Experiment on Animal Re-Identification from Video
Kuncheva, L., Garrido-Labrador, J., Ramos-Perez, I., Hennessey, S. & Rodriguez, J., 1 May 2023, In: Ecological Informatics.Research output: Contribution to journal › Article › peer-review
- Published
Prototype Classifiers and the Big Fish. The Case of Prototype (Instance) Selection
Kuncheva, L., 20 Apr 2020, In: IEEE Systems, Man, and Cybernetics Magazine. 6, 2, p. 49-56Research output: Contribution to journal › Article › peer-review
- Published
Instance selection improves geometric mean accuracy: A study on imbalanced data classification
Kuncheva, L., Arnaiz-Gonzalez, A., Diez-Pastor, J. F. & Gunn, I., 6 Feb 2019, In: Progress in Artificial Intelligence. 2019, 2, 11 p.Research output: Contribution to journal › Article › peer-review
- Published
Comparing Keyframe Summaries of Egocentric Videos: Closest-to-Centroid Baseline
Kuncheva, L., Yousefi, P. & Almeida, J., 12 Mar 2018, In: International Conference on Image Processing Theory, Tools and Applications (IPTA).Research output: Contribution to journal › Conference article › peer-review
- Published
Restricted Set Classification with prior probabilities: A case study on chessboard recognition
Kuncheva, L. & Constance, J., Aug 2018, In: Pattern Recognition Letters. 111, p. 36-42 7 p.Research output: Contribution to journal › Article › peer-review
- Published
A Concept-Drift Perspective on Prototype Selection and Generation
Kuncheva, L. & Gunn, I., 29 Jul 2016, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2016) . Vancouver, Canada, p. 16-23 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
- Published
Error-dependency relationships for the Naive Bayes classifier with binary features
Kuncheva, L. & Hoare, Z. S., 1 Apr 2008, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 4, p. 735-740Research output: Contribution to journal › Article › peer-review
- Published
On feature selection protocols for very low-sample-size data
Kuncheva, L. & Rodriguez, J., Sept 2018, In: Pattern Recognition. 81, p. 660-673 14 p.Research output: Contribution to journal › Article › peer-review
- Published
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
- Published
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
- Published
Animal Reidentification using Restricted Set Classification
Kuncheva, L., May 2021, In: Ecological Informatics. 62, 101225.Research output: Contribution to journal › Article › peer-review
- Published
Edited nearest neighbour for selecting keyframe summaries of egocentric videos
Kuncheva, L., Yousefi, P. & Almeida, J., Apr 2018, In: Journal of Visual Communication and Image Representation. 52, p. 118-130 13 p.Research output: Contribution to journal › Article › peer-review
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Restricted Set Classification: Who is there?, Pattern Recognition
Kuncheva, L. I., Rodriguez, J. J. & Jackson, A. S., 1 Mar 2017, In: Pattern Recognition. 63, C, p. 158-170Research output: Contribution to journal › Article › peer-review
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Adaptive Learning Rate for Online Linear Discriminant Classifiers
Kuncheva, L. I. & Plumpton, C. O., 4 Dec 2008, Proceedings of the IAPR Workshop on Statistical, Structural and Syntactic Pattern Recognition (S+SSPR 2008). Orlando, Florida, USA, p. 510-519Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
- Published
First mitogenome phylogeny of the sun bear Helarctos malayanus reveals a deep split between Indochinese and Sundaic lineages
Kunde, M. N., Barlow, A., Klittich, A. M., Yakupova, A., Fickel, J. & Forster, D. W., 9 Jul 2023, In: Ecology and Evolution. 13, 4Research output: Contribution to journal › Article › peer-review
- Published
Intra-Individual Variability in ADHD and its Implications for Research of Causal Links
Kuntsi, J., Klein, C., Stanford, C. (ed.) & Tannock, R. (ed.), 1 Jan 2011, Behavioral Neurobiology of ADHD and its Treatment. Current Topics in Behavioral Neurosciences. 2011 ed. Springer, p. 67-92Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Role of the DNA repair nucleases Rad13, Rad2 and Uve1 of Schizosaccharomyces pombe in mismatch correction
Kunz, C. & Fleck, O., 19 Oct 2001, In: Journal of Molecular Biology. 313, 2, p. 241-253Research output: Contribution to journal › Article › peer-review
- Published
Wood Modification with Phenol Formaldehyde Resin and its Influence on the Dimensional Stability of Homegrown and Imported Hardwoods
Kupfernagel, C., Spear, M., Pitman, A. & Ormondroyd, G., 14 Oct 2021, p. 12-15. 4 p.Research output: Contribution to conference › Paper
- Published
The effects of fatigue cycling on acetylated, thermally treated and PF-modified Scots pine
Kupfernagel, C., Curling, S., Spear, M. & Ormondroyd, G., 9 Sept 2020, p. 153-164. 12 p.Research output: Contribution to conference › Paper
- Published
Wood modification with phenol urea formaldehyde (PUF) resin: the influence of wood species selection on the dimensional stability
Kupfernagel, C., Spear, M., Pitman, A. & Ormondroyd, G., Feb 2023, In: European Journal of Wood and Wood Products. 81, 1, p. 5-19Research output: Contribution to journal › Article › peer-review
- Published
The chamical interactions between phenolic resin and wood studied by liquid-state NMR spectroscopy
Kupfernagel, C., Yelle, D., Spear, M., Pitman, A. & Ormondroyd, G., 15 Apr 2024, p. 104-105. 2 p.Research output: Contribution to conference › Paper
- Published
Effekt von Prozessvariablen bei Holzmodifikation mit PF-Harz
Kupfernagel, C., Spear, M., Pitman, A. & Ormondroyd, G., 7 Apr 2022. 2 p.Research output: Contribution to conference › Paper