Professor Ludmila Kuncheva
Professor in Computer Science
Affiliations
Links
- https://lucykuncheva.co.uk/
Personal website - https://scholar.google.co.uk/citations?user=WIc3assAAAAJ&hl=en
Google Scholar Profile
Contact info
School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT
e-mail: l.i.kuncheva@bangor.ac.uk
- Article › Research › Peer-reviewed
- Published
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
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
On the optimality of Naive Bayes with dependent binary features.
Kuncheva, L. I., 1 May 2006, In: Pattern Recognition Letters. 27, 7, p. 830-837Research output: Contribution to journal › Article › peer-review
- Published
On the window size for classification in changing environments.
Kuncheva, L. I. & Žliobaitė, I., 25 Nov 2009, In: Intelligent Data Analysis. 13, 6, p. 861-872Research output: Contribution to journal › Article › peer-review
- Published
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data
Kuncheva, L. I. & Faithfull, W. J., 13 Mar 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 1, p. 69-80Research 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
ROC curves and video analysis optimization in intestinal capsule endoscopy.
Vilarino, F., Kuncheva, L. I. & Radeva, P., 1 Jun 2006, In: Pattern Recognition Letters. 27, 8, p. 875-881Research output: Contribution to journal › Article › peer-review
- Published
Random Balance ensembles for multiclass imbalance learning
Rodriguez, J., Diez-Pastor, J-F., Arnaiz-Gonzalez, A. & Kuncheva, L., 6 Apr 2020, In: Knowledge-Based Systems. 193, 24 p., 105434.Research output: Contribution to journal › Article › peer-review
- Published
Random Balance: Ensembles of variable priors classifiers for imbalanced data
Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. & Kuncheva, L. I., 7 May 2015, In: Knowledge-Based Systems. 85, p. 96-111Research 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