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
ORCID: 0000-0002-0415-6964
Contact info
School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT
e-mail: l.i.kuncheva@bangor.ac.uk
11 - 20 out of 104Page size: 10
- Published
Data reduction using classifier ensembles.
Sanchez, J. S. & Kuncheva, L. I., 1 Jan 2007.Research output: Contribution to conference › Paper
- Published
Rotation forest: A new classifier ensemble method.
Rodriguez, J. J. & Kuncheva, L. I., 1 Oct 2006, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 10, p. 1619-1630Research output: Contribution to journal › Article › peer-review
- Published
Time series classification: Decision forests and SVM on interval and DTW features
Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007.Research output: Contribution to conference › Paper
- 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
Naive Bayes ensembles with a random oracle.
Rodriguez, J. J. & Kuncheva, L. I., 1 Jan 2007, p. 450-458.Research output: Contribution to conference › Paper
- Published
An Experimental Evaluation of Mixup Regression Forests
Rodriguez, J., Juez-Gil, M., Arnaiz-Gonzalez, A. & Kuncheva, L., 1 Aug 2020, In: Expert Systems with Applications. 151, 113376.Research output: Contribution to journal › Article › peer-review
- Published
Visualisation Data Modelling Graphics (VDMG) at Bangor
Roberts, J. C., Ritsos, P. D., Kuncheva, L., Vidal, F., Lim, I. S., Ap Cenydd, L., Teahan, W., Mansoor, S., Gray, C. & Perkins, D., May 2021. 2 p.Research output: Contribution to conference › Paper › peer-review
- Published
Learn ++.MF: A random subspace approach for the missing feature problem.
Polikar, R., DePasquale, J., Mohammed, H. S., Brown, G. & Kuncheva, L. I., 1 Nov 2010, In: Pattern Recognition. 43, 11, p. 3817-3832Research output: Contribution to journal › Article › peer-review
- Published
Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data
Plumpton, C. O., Kuncheva, L. I., Oosterhof, N. N. & Johnston, S. J., Jun 2012, In: Pattern Recognition. 45, 6, p. 2101-2108Research output: Contribution to journal › Article › peer-review
- Published
A framework for generating data to simulate changing environments.
Narasimhamurthy, A. & Kuncheva, L. I., 1 Jan 2007, p. 384-389.Research output: Contribution to conference › Paper