School of Computer Science & Engineering
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Simplified coherent optical network units for very-high-speed passive optical networks
Kovacs, I. B., Faruk, M. S., Torres-Ferrera, P. & Savory, S. J., 1 Jul 2024, In: IEEE Journal of Optical Communications and Networking. 16, 7Research output: Contribution to journal › Article › peer-review
- Published
High performing AgNW transparent conducting electrodes with a sheet resistance of 2.5 Ω Sq−1 based upon a roll-to-roll compatible post-processing technique
Kumar, D., Stoichkov, V., Brousseau, E., Smith, G. C. & Kettle, J., 28 Mar 2019, In: Nanoscale. 11, 12, p. 5760-5769 10 p.Research output: Contribution to journal › Article › peer-review
- Published
Understanding UV Sensor Performance in ZnO TFTs Through the Application of Multivariate Analysis
Kumar, D., Gomes, T., Alves, N. & Kettle, J., 31 Jan 2019, In: IEEE Sensors.Research output: Contribution to journal › Conference article › peer-review
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Mixed-dimension silver nanowires for solution-processed, flexible, transparent and conducting electrodes with improved optical and physical properties
Kumar, D., Stoichkov, V., Ghosh, S., Smith, G. C. & Kettle, J., 20 Mar 2017, In: Flexible and Printed Electronics. 2, 1, 015005.Research output: Contribution to journal › Article › peer-review
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UV phototransistors based upon spray coated and sputter deposited ZnO TFTs
Kumar, D., Gomes, T., Alves, N., Fugikawa-Santos, L., Smith, G. C. & Kettle, J., 15 Jul 2020, In: IEEE Sensors Journal. 20, 14, p. 7532 - 7539Research output: Contribution to journal › Article › peer-review
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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
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Switching between selection and fusion in combining classifiers: An experiment
Kuncheva, L. I., 1 Apr 2002, In: IEEE Transactions on SMC, Part B. 32, 2, p. 146-156Research output: Contribution to journal › Article › peer-review
- Published
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy.
Kuncheva, L. I. & Whitaker, C. J., 1 May 2003, In: Machine Learning. 51, 2, p. 181-207Research output: Contribution to journal › Article › peer-review
- Published
Who Is Missing? A New Pattern Recognition Puzzle
Kuncheva, L. I., Kuncheav, L. I., Jackson, A. S., Franti, P. (ed.), Brown, G. (ed.), Loog, M. (ed.), Escolano, F. (ed.) & Pelillo, M. (ed.), 20 Aug 2014, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science. 2014 ed. Springer Berlin Heidelberg, p. 243-252Research output: Chapter in Book/Report/Conference proceeding › Chapter
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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
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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
That elusive diversity in classifier ensembles.
Kuncheva, L. I., 1 Jan 2003, In: Pattern Recognitions and Image Analysis: Proceedings. 2652, p. 1126-1138Research output: Contribution to journal › Article › peer-review
- Published
Limits on the majority vote accuracy in classifier fusion.
Kuncheva, L. I., Whitaker, C. J., Shipp, C. A. & Duin, R. P., 1 Apr 2003, In: Pattern Analysis and Applications. 6, 1, p. 22-31Research output: Contribution to journal › Article › peer-review
- Published
A stability index for feature selection.
Kuncheva, L. I., 1 Jan 2007, p. 390-395.Research output: Contribution to conference › Paper
- 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
Feature subsets for classifier combination: An enumerative experiment.
Kuncheva, L. I. & Whitaker, C. J., 1 Jan 2001, p. 228-237.Research output: Contribution to conference › Paper
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A weighted voting framework for classifiers ensembles
Kuncheva, L. I. & Rodríguez, J. J., 1 Feb 2014, In: Knowledge and Information Systems. 38, 2, p. 259-275Research output: Contribution to journal › Article › peer-review
- Published
Change detection in streaming multivariate data using likelihood detectors
Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180Research output: Contribution to journal › Article › peer-review
- Published
Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis
Kuncheva, L. I. & Rodriguez, J. J., 25 Dec 2012, In: Progress in Artificial Intelligence. 2, 1, p. 65-72Research output: Contribution to journal › Article › peer-review
- Published
A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles
Kuncheva, L. I., 1 Mar 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 3, p. 494-501Research output: Contribution to journal › Article › peer-review
- Published
Combining classifiers: Soft computing solutions.
Kuncheva, L. I., Pal, S. K. (ed.) & Pal, A. (ed.), 1 Jan 2001, Pattern Recognition: From Classical to Modern Approaches. 2001 ed. Unknown, p. 427-452Research output: Chapter in Book/Report/Conference proceeding › Chapter
- Published
Pre-selection of independent binary features: An application to diagnosing scrapie in sheep
Kuncheva, L. I., Cockcroft, P. D., Whitaker, C. J. & Hoare, Z., 1 Jan 2004, p. 325-332.Research output: Contribution to conference › Paper
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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
- Published
`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
- 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
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
- 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