Our group is very dynamic. The main contributions to our research come from visitors and long-distance collaborations.

Project: "Prototype Selection from Streaming, Drifting and Partly Labelled Data Using Classifier Ensembles" sponsored by The Leverhulme Trust (RPG_2015_188).
Project: "Classifier Ensembles for Changing Environments" sponsored by EPSRC 2005-2007, (# EP/D0404X/1).

People

Lucy Kuncheva Professor of Computer Science

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PhD students

Sam Hennessey started 2021, "Semisupervised Ensemble Classification"

Frank Williams started 2020, "Constrained Clustering for Streaming Data"

Former PhD students

Paria Yousefi thesis, 2019, "Keyframe Summarisation of Egocentric Video"	Will Faithfull thesis, 2018, "Unsupervised Change Detection in Multivariate Streaming Data"	Tom Christy thesis, 2014 "A Psychophysiological Acquisition Device for Affective Video Games"	Catrin Plumpton thesis, 2011 "Classifier Ensembles for Streaming fMRI Data"	James Charles thesis, 2009 "Image Analysis of Microscope Slides for Palynofacies Studies"
Zoe Hoare thesis, 2007 "Feature Selection and Classification for Non-traditional Data"	Catherine Shipp thesis, 2005 "A Study on Diversity in Classifier Ensembles"	Ameena Al-Zaidan thesis, 2003 "Mathematical Modelling of Marine Environment Contamination Using Fuzzy Set Theory"

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Visitors (Photos from 2019)

• 2022, Jose Labrador, University of Burgos, Spain. Project: Semi-supervised classification
• 2022, Ismael Ramos, University of Burgos, Spain. Project: Semi-supervised classification
• 2022, Juan Rodriguez, University of Burgos, Spain. Project: Semi-supervised classification
• 2022, Cesar Garcia-Osorio, University of Burgos, Spain. Project: Semi-supervised classification
• 2019, Mario Juez, University of Burgos, Spain. Project: Feature selection and classification
• 2019, Alvar Arnaiz, University of Burgos, Spain. Project: Feature selection and classification
• 2019, Juan Rodriguez, University of Burgos, Spain. Project: Feature selection
• 2019, Emre Kavur, Dokuz Eylul University in Izmir, Turkey. Project: Medical imaging
• 2018, Juan Rodriguez, University of Burgos, Spain. Project: Feature selection
• 2016, Juan Rodriguez, University of Burgos, Spain. Project: Imbalanced classification; classifier ensembles
• 2016, Julian Zubek, University of Warsaw, Poland. Project: A psychological perspective on prototype classifiers
• 2016, Alvar Arnaiz, University of Burgos, Spain. Project: Imbalanced classification; prototype classifiers
• 2016, Jose Pastor, University of Burgos, Spain. Project: Imbalanced classification; prototype classifiers
• 2015, Mikel Galar, University of Navarra, Spain. Project: Classifier ensembles
• 2015, David Powers, Flinders University, Australia. Project: Informedness versus F-measure
• 2014, Jose Pastor, University of Burgos, Spain. Project: Classifier ensembles for imbalanced data
• 2012, Jose Pastor, Juan Rodriguez, University of Burgos, Spain. Project: Classifier ensembles
• 2012, Ramon Mollineda, Universitat Jaume I, Castellón, Spain. Project: Affective computing
• 2011, Zdravka Pujeva, Vocational School of Textile and Fashion Design, Sofia, Bulgaria. Project: Exchange of teaching experience
• 2011, Javier Marin Tur, Computer Vision Centre, Barcelona, Spain. Project: Classifier ensembles for pedestrian detection in static images
• 2010-2011, Nima Hatami, University of Cagliari, Italy. Project: Large scale feature selection for fMRI data analysis
• 2010, Aida de Haro Garcia, University of Cordoba, Spain. Project: Cascade Feature Selection
• 2009, Juan J. Rodriguez, University of Burgos, Spain. Project: Advanced classification methods for fMRI data
• 2009, Gavin Brown, Amir Ahmed and Manuela Zanda, School of Computer Science, University of Manchester.
  Mini-Workshop: Classifier Ensembles, Feature Selection and fMRI Data Analysis
• 2009, Snezhy Neshkova, CISCO. Project: Exchange of teaching experience
• 2009, David Martinez Rego, University of La Coruna, Spain. Project: Voxel selection in fMRI data analysis
• 2008-2009, Francesco Gargiulo, University of Naples, Italy. Project: Network traffic classification using classifier ensembles
• 2008 Indre Zliobaite, Vilnius University, Lithuania. Project: Changing environments, a theoretical study
• 2005, 2007 Juan J. Rodriguez, University of Burgos, Spain. Project: Classifier Ensembles, Time Series, and more
• 2004, 2006-2007, J. Salvador Sánchez, Universitat Jaume I, Castellón, Spain.
  Project: Combining classifiers and prototype selection for learning in partially supervised environments
• 2005-2006, Anand Narasimhamurthy, Research Associate on the EPSRC grant Classifier Ensembles for Changing Environments
• 1999, 2002, 2005, Bob Duin, Delft University of Technology, the Netherlands.
• 2004, 2005, Stefan Hadjitodorov, Bulgarian Academy of Sciences. Project: Clustering Ensembles (RS)
• 2005, 2006, Dmitry Vetrov, Moscow State University, Russia. Project: INTAS
• 2005, Ela Pekalska, Manchester University. Seminar
• 2004, David Masip, Computer Vision Centre, Barcelona, Spain. Project: Classifier ensembles for feature extraction.
• 2004 Fernando Vilarino, Computer Vision Centre, Barcelona, Spain. Project: Classification of contractions in capsular endoscopy.
• 2004, Krassimir Atanassov, Bulgarian Academy of Sciences. Project: Fuzzy Sets and Systems
• 2004 Petia Radeva and Jordi Vitria, Computer Vision Centre, Universitat Autonoma de Barcelona, Spain.
  Project: APRMI (Advances in Pattern Recognition and Medical Imaging)
• 2003 Peter Cockcroft, University of Cambridge, UK. Collaborative visit.
• 2001 Francesco Masulli, Universita' di Genova, Italy. Collaborative visit.
• 1998, 2001 Jim Bezdek, University of West Florida, Pensacola, FL, USA. Seminar & collaborative visit.
• 1998 Melanie Sutton, University of West Florida, Pensacola, FL, USA. Seminar & collaborative visit.

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Data

Artificial (classification and clustering)
cone-torus • boat • half-ring • rotated checkerboard • noisy lines • 2 spirals • four gauss • petals • easy doughnut • saturn • difficult doughnut • regular

Real (medical, not in UCI)*
laryngeal1 • voice_3 • respiratory • laryngeal2 • voice_9 • weaning • laryngeal3

*This data collection was put together as a part of the study on cluster ensembles under Royal Society Grant #15035 (2004-2005)