Jim E. Smith

36 papers A* 1A 4B 5C 5Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A hierarchical approach for assessing the vulnerability of tree-based classification models to membership inference attack.
CoRR
Richard John Preen, Jim E. Smith
2023 J jnl
Neuromorphic Online Clustering and Classification.
CoRR
Jim E. Smith
2019 J jnl
Evolutionary n-Level Hypergraph Partitioning With Adaptive Coarsening.
IEEE Trans. Evol. Comput.
Richard John Preen, Jim E. Smith
2018 J jnl
Evolutionary n-level Hypergraph Partitioning with Adaptive Coarsening.
CoRR
Richard John Preen, Jim E. Smith
2016 A conf
Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems: A Case Study.
GECCO
Jim E. Smith, Christopher Stone, Martin Craig Serpell
2015 J jnl
The influence of search components and problem characteristics in early life cycle class modelling.
J. Syst. Softw.
Jim E. Smith, Christopher L. Simons
2014 J jnl
Interactive ant colony optimization (iACO) for early lifecycle software design.
Swarm Intell.
Christopher L. Simons, Jim E. Smith, Paul White
2013 J jnl
A comparison of meta-heuristic search for interactive software design.
Soft Comput.
C. L. Simons, Jim E. Smith
2013 J jnl
A preprocessing optimization applied to the cell suppression problem in statistical disclosure control.
Inf. Sci.
Martin Craig Serpell, Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier
2012 J jnl
A Comparison of Meta-heuristic Search for Interactive Software Design
CoRR
C. L. Simons, Jim E. Smith
2012 J jnl
A Genetic Approach to Statistical Disclosure Control.
IEEE Trans. Evol. Comput.
Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier, Martin Craig Serpell
2012 J jnl
Estimating Meme Fitness in Adaptive Memetic Algorithms for Combinatorial Problems.
Evol. Comput.
Jim E. Smith
2012 J jnl
Making Early Predictions of the Accuracy of Machine Learning Applications
CoRR
Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel
2010 J jnl
Assessment of the influence of adaptive components in trainable surface inspection systems.
Mach. Vis. Appl.
Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel
2010 J jnl
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection.
Pattern Recognit. Lett.
Muhammad Atif Tahir, Jim E. Smith
2010 J jnl
User-centric image segmentation using an interactive parameter adaptation tool.
Pattern Recognit.
Olivier Pauplin, Praminda Caleb-Solly, Jim E. Smith
2009 A conf
A genetic approach to statistical disclosure control.
GECCO
Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier
2008 C conf
A Novel Feature Selection Based Semi-supervised Method for Image Classification.
ICVS
Muhammad Atif Tahir, Jim E. Smith, Praminda Caleb-Solly
2008 C conf
An On-Line Interactive Self-adaptive Image Classification Framework.
ICVS
Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger
2008 — ch.
Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search.
Advances in Metaheuristics for Hard Optimization
Muhammad Atif Tahir, Jim E. Smith
2008 — conf
On Human-Machine Interaction during Online Image Classifier Training.
CIMCA/IAWTIC/ISE
Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel
2008 C conf
Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control.
Privacy in Statistical Databases
Martin Craig Serpell, Alistair R. Clark, Jim E. Smith, Andrea T. Staggemeier
2007 J jnl
Adaptive surface inspection via interactive evolution.
Image Vis. Comput.
Praminda Caleb-Solly, Jim E. Smith
2007 J jnl
Coevolving Memetic Algorithms: A Review and Progress Report.
IEEE Trans. Syst. Man Cybern. Part B
Jim E. Smith
2007 A conf
Credit assignment in adaptive memetic algorithms.
GECCO
Jim E. Smith
2007 J jnl
On Replacement Strategies in Steady State Evolutionary Algorithms.
Evol. Comput.
Jim E. Smith
2007 C conf
Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications.
IDEAL
Jim E. Smith, Muhammad Atif Tahir
2006 A* conf
Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics.
ICDM
Muhammad Atif Tahir, Jim E. Smith
2005 B conf
Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy.
Congress on Evolutionary Computation
Praminda Caleb-Solly, Jim E. Smith
2004 J jnl
Editorial Introduction Special Issue on Memetic Algorithms.
Evol. Comput.
William E. Hart, N. Ktaliorasnogor, Jim E. Smith
2003 B conf
Co-evolving memetic algorithms: a learning approach to robust scalable optimisation.
IEEE Congress on Evolutionary Computation
Jim E. Smith
2003 B conf
Protein structure prediction with co-evolving memetic algorithms.
IEEE Congress on Evolutionary Computation
Jim E. Smith
2003 B conf
Study of fitness landscapes for the HP model of protein structure prediction.
IEEE Congress on Evolutionary Computation
S. D. Flores, Jim E. Smith
2002 A conf
Strategy Parameter Variety In Self-adaptation Of Mutation Rates.
GECCO
Christopher Stone, Jim E. Smith
2001 B conf
An alternative approach for the evaluation of the neocognitron.
ESANN
Michal Steuer, Praminda Caleb-Solly, Jim E. Smith
1997 C conf
Microprocessor design verification by two-phase evolution of variable length tests.
ICEC
Jim E. Smith, M. Bartley, Terence C. Fogarty