Jim E. Smith

Martin C. Serpell, Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier: A preprocessing optimization applied to the cell suppression problem in statistical disclosure control. Inf. Sci. 238: 22-32 (2013)

Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier, Martin C. Serpell: A Genetic Approach to Statistical Disclosure Control. IEEE Trans. Evolutionary Computation 16(3): 431-441 (2012)

Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel: Making Early Predictions of the Accuracy of Machine Learning Applications. CoRR abs/1212.1100 (2012)

Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel: Assessment of the influence of adaptive components in trainable surface inspection systems. Mach. Vis. Appl. 21(5): 613-626 (2010)

Olivier Pauplin, Praminda Caleb-Solly, Jim E. Smith: User-centric image segmentation using an interactive parameter adaptation tool. Pattern Recognition 43(2): 519-529 (2010)

Muhammad Atif Tahir, Jim E. Smith: Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection. Pattern Recognition Letters 31(11): 1470-1480 (2010)

Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier: A genetic approach to statistical disclosure control. GECCO 2009: 1625-1632

Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel: On Human-Machine Interaction during Online Image Classifier Training. CIMCA/IAWTIC/ISE 2008: 1005-1010

Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger: An On-Line Interactive Self-adaptive Image Classification Framework. ICVS 2008: 171-180

Muhammad Atif Tahir, Jim E. Smith, Praminda Caleb-Solly: A Novel Feature Selection Based Semi-supervised Method for Image Classification. ICVS 2008: 484-493

Muhammad Atif Tahir, Jim E. Smith: Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search. Advances in Metaheuristics for Hard Optimization 2008: 69-85

Martin C. Serpell, Alistair R. Clark, Jim E. Smith, Andrea T. Staggemeier: Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control. Privacy in Statistical Databases 2008: 24-36

Praminda Caleb-Solly, Jim E. Smith: Adaptive surface inspection via interactive evolution. Image Vision Comput. 25(7): 1058-1072 (2007)

Jim E. Smith: Coevolving Memetic Algorithms: A Review and Progress Report. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 6-17 (2007)

Jim E. Smith, Muhammad Atif Tahir: Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications. IDEAL 2007: 673-683

Muhammad Atif Tahir, Jim E. Smith: Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics. ICDM 2006: 1086-1090

Praminda Caleb-Solly, Jim E. Smith: Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy. Congress on Evolutionary Computation 2005: 979-986

Michal Steuer, Praminda Caleb-Solly, Jim E. Smith: An alternative approach for the evaluation of the neocognitron. ESANN 2001: 125-130