Professor of Computer Science
Head of Department of Computer Science
Faculty of Arts and Sciences
Edge Hill University
Next Generation Emerging Technologies
Everything from social media to investigations into the building blocks of the universe has harnessed the power of computational resources and services through the Internet – but what the future holds? Nik will provide a retrospective analysis of the Internet and WWW evolution to the current state of the art in cloud computing, big data, and Internet of Things (IoTs). He will focus on issues related to dynamic resource provisioning; data push; social graphs for big data analytics and inter-clouds.
Head of the Vision, Imaging and Autonomous Systems Research Group
Classifier ensembles for imbalanced classification
Many pattern classification problems are imbalanced meaning there are (many) more training patterns available for some classes compared to others. This imbalance, if not addressed properly, will typically lead to poor classification on the minority classes. In my talk, I will explore ways to address class imbalance for classification and particularly do so for ensemble classification approaches, i.e. models that employ more than one predictor to yield improved and more robust classification performance. In particular, I will highlight approaches based on balancing the sampling process and on employing cost-sensitive base classifiers. I will also present experimental results for classification of breast cancer from medical infrared images, a task that, like most medical decision-making tasks, is strongly imbalanced.
Gerald Schaefer gained his Ph.D. in Computer Vision from the University of East Anglia. He worked at the Colour & Imaging Institute, University of Derby (1997-1999), in the School of Information Systems, University of East Anglia (2000-2001), in the School of Computing and Informatics at Nottingham Trent University (2001-2006), and in the School of Engineering and Applied Science at Aston University (2006-2009) before joining the Department of Computer Science at Loughborough University. His research interests are mainly in the areas of computer vision and pattern recognition. He has published extensively in these areas with a total publication count exceeding 450. He has been invited as keynote or tutorial speaker to numerous conferences, is the organiser of various international workshops and special sessions at conferences, and the editor of several books, conference proceedings, and special journal issues.