Bangor University
- Published
Estimating charcoal content in forest mineral soils.
Kurth, V. J., MacKenzie, M. D. & DeLuca, T. H., 31 Dec 2006, In: Geoderma. 137, 1-2, p. 135-139Research output: Contribution to journal › Article › peer-review
- Published
Sex-specific reproductive trade-offs in the gregarious fucoid macroalga Ascophyllum nodosum
Kurr, M. & Davies, A., 2018, In: European Journal of Phycology. 53, 1, p. 1-13Research output: Contribution to journal › Article › peer-review
- Published
The chemical defences of the invasive alga Sargassum muticum (Yendo) Fensholt correlate to mesoherbivore diversity, but not to time-since-invasion
Kurr, M. & Davies, A. J., Jun 2019, In: Hydrobiologia. 836, 1, p. 35-47Research output: Contribution to journal › Article › peer-review
- Published
Drivers of Sex-specific Trade-offs in the Macroalga Ascophyllum nodosum
Kurr, M. & Davies, A., 3 Sept 2020, In: Plant. 8, 3, p. 54-63Research output: Contribution to journal › Article › peer-review
- Published
Time-since-invasion increases native mesoherbivore feeding rates on the invasive alga, Sargassum muticum (Yendo) Fensholt
Kurr, M. & Davies, A. J., Dec 2018, In: Journal of the Marine Biological Association of the United Kingdom. 98, Special Issue 8, p. 1935-1944Research output: Contribution to journal › Article › peer-review
- Published
Integration of haptics with Web3D using the SAI.
Kurmos, L., John, N. W. & Roberts, J. C., 1 Jan 2009, p. 25-32.Research output: Contribution to conference › Paper
- Published
Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe
Kurganskiy, A., Creer, S., De Vere, N., Griffith, G. W., Osborne, N. J., Wheeler, B. W., McInnes, R. N., Clewlow, Y., Barber, A., Brennan, G., Hanlon, H. M., Hegarty, M. J., Potter, C., Rowney, F. M., Adams-Groom, B., Petch, G. M., Pashley, C. H., Satchwell, J., De Weger, L. A., Rasmussen, K., Oliver, G., Sindt, C., Bruffaerts, N., The PollerGEN Consortium & Skjoth, C. A., 26 Mar 2021, In: Science Advances. 7, 13, eabd7658.Research 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
Effects of Process Variables on Wood Modification with PF Resin
Kupfernagel, C., Spear, M., Pitman, A. & Ormondroyd, G., 5 Jul 2022, p. 29-31. 3 p.Research output: Contribution to conference › Paper
- Published
The Effect of Material Fatigue on Differently Modified Wood
Kupfernagel, C., Curling, S., Spear, M. & Ormondroyd, G., 25 Apr 2022, p. 292-300. 9 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
- Published
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
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
- 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
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
- Published
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
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
- Published
Using diversity measures for generating error-correcting output codes in classifier ensembles
Kuncheva, L. I., 1 Jan 2005, In: Pattern Recognition Letters. 26, 1, p. 83-90Research 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
- Published
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
- Published
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
- Published
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
- Published
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