Jim E. Smith

According to our database, Jim E. Smith authored at least 56 papers between 1976 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyst-Driven XAI for Time Series Forecasting: Analytics for Telecoms Maintenance.

James Barrett, Phil Legg, Jim Smith, Chip Boyle

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2022

Protein Structured Reservoir Computing for Spike-Based Pattern Recognition.

Karolos-Alexandros Tsakalos, Georgios Ch. Sirakoulis, Andrew Adamatzky, Jim Smith

IEEE Trans. Parallel Distributed Syst., 2022

ACRO: A multi-language toolkit for supporting Automated Checking of Research Outputs.

Richard John Preen, Jim Smith

CoRR, 2022

Safe machine learning model release from Trusted Research Environments: The AI-SDC package.

Jim Smith, Richard John Preen, Andrew McCarthy, Alba Crespi-Boixader, James Liley, Simon Rogers

CoRR, 2022

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs).

Emily R. Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith

CoRR, 2022

2020

Using Active Learning to Understand the Videoconference Experience: A Case Study.

Simon Llewellyn, Christopher L. Simons, Jim Smith

Proceedings of the Artificial Intelligence XXXVII, 2020

2019

Evolutionary n-Level Hypergraph Partitioning With Adaptive Coarsening.

Richard John Preen, Jim E. Smith

IEEE Trans. Evol. Comput., 2019

2018

Predicting User Confidence During Visual Decision Making.

Jim Smith, Phil Legg, Milos Matovic, Kristofer Kinsey

ACM Trans. Interact. Intell. Syst., 2018

2016

Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems: A Case Study.

Jim E. Smith, Christopher Stone, Martin Craig Serpell

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Exploiting Antipheromone in Ant Colony Optimisation for Interactive Search-Based Software Design and Refactoring.

Christopher L. Simons, Jim Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Introduction to Evolutionary Computing, Second Edition

A. E. Eiben, James E. Smith

Natural Computing Series, Springer, ISBN: 978-3-662-44874-8, 2015

From evolutionary computation to the evolution of things.

Ágoston E. Eiben, James E. Smith

Nat., 2015

The influence of search components and problem characteristics in early life cycle class modelling.

Jim E. Smith, Christopher L. Simons

J. Syst. Softw., 2015

2014

Interactive ant colony optimization (iACO) for early lifecycle software design.

Christopher L. Simons, Jim E. Smith, Paul White

Swarm Intell., 2014

Using evolutionary computation to shed light on the effect of scale and complexity on object-oriented software design.

Christopher L. Simons, Jim Smith

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

The Baldwin Effect Hinders Self-Adaptation.

Jim Smith

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

A comparison of meta-heuristic search for interactive software design.

C. L. Simons, Jim E. Smith

Soft Comput., 2013

A preprocessing optimization applied to the cell suppression problem in statistical disclosure control.

Martin Craig Serpell, Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier

Inf. Sci., 2013

A comparison of two memetic algorithms for software class modelling.

Jim Smith, Christopher L. Simons

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Initial application of ant colony optimisation to statistical disclosure control.

Martin Craig Serpell, James E. Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Self-adaptative and Coevolving Memetic Algorithms.

James E. Smith

Proceedings of the Handbook of Memetic Algorithms, 2012

Evolutionary Algorithms.

Ágoston E. Eiben, James E. Smith

Proceedings of the Handbook of Memetic Algorithms, 2012

A Genetic Approach to Statistical Disclosure Control.

Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier, Martin Craig Serpell

IEEE Trans. Evol. Comput., 2012

Interactive Ant Colony Optimisation (iACO) for Early Lifecycle Software Design

Christopher L. Simons, Jim Smith, Paul White

CoRR, 2012

Making Early Predictions of the Accuracy of Machine Learning Applications

Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel

CoRR, 2012

2011

Scaling up a hybrid genetic linear programming algorithm for statistical disclosure control.

Martin Craig Serpell, James E. Smith, Alistair R. Clark, Andrea T. Staggemeier

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection.

Muhammad Atif Tahir, Jim E. Smith

Pattern Recognit. Lett., 2010

User-centric image segmentation using an interactive parameter adaptation tool.

Olivier Pauplin, Praminda Caleb-Solly, Jim E. Smith

Pattern Recognit., 2010

Impact of object extraction methods on classification performance in surface inspection systems.

Stefan Raiser, Edwin Lughofer, Christian Eitzinger, James Edward Smith

Mach. Vis. Appl., 2010

Assessment of the influence of adaptive components in trainable surface inspection systems.

Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel

Mach. Vis. Appl., 2010

Self-Adaptation of Mutation Operator and Probability for Permutation Representations in Genetic Algorithms.

Martin Craig Serpell, James E. Smith

Evol. Comput., 2010

2009

Human-Machine Interaction Issues in Quality Control Based on Online Image Classification.

Edwin Lughofer, James Edward Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Christian Eitzinger, Davy Sannen, Marnix Nuttin

IEEE Trans. Syst. Man Cybern. Part A, 2009

A genetic approach to statistical disclosure control.

Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation.

James E. Smith

Proceedings of the Adaptive and Multilevel Metaheuristics, 2008

Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control.

Martin Craig Serpell, Alistair R. Clark, Jim E. Smith, Andrea T. Staggemeier

Proceedings of the Privacy in Statistical Databases, 2008

Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search.

Muhammad Atif Tahir, Jim E. Smith

Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

A Novel Feature Selection Based Semi-supervised Method for Image Classification.

Muhammad Atif Tahir, Jim E. Smith, Praminda Caleb-Solly

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

An On-Line Interactive Self-adaptive Image Classification Framework.

Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

On Human-Machine Interaction during Online Image Classifier Training.

Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007

Parameter Control in Evolutionary Algorithms.

A. E. Eiben, Zbigniew Michalewicz, Marc Schoenauer, James E. Smith

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Coevolving Memetic Algorithms: A Review and Progress Report.

Jim E. Smith

IEEE Trans. Syst. Man Cybern. Part B, 2007

Adaptive surface inspection via interactive evolution.

Praminda Caleb-Solly, Jim E. Smith

Image Vis. Comput., 2007

On Replacement Strategies in Steady State Evolutionary Algorithms.

Jim E. Smith

Evol. Comput., 2007

Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications.

Jim E. Smith, Muhammad Atif Tahir

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006

Improving Nearest Neighbor Classifier Using Tabu Search and Ensemble Distance Metrics.

Muhammad Atif Tahir, Jim E. Smith

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Gene Libraries: Coverage, Efficiency and Diversity.

Steve Cayzer, Jim Smith

Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

2005

What Have Gene Libraries Done for AIS?

Steve Cayzer, Jim Smith, James A. R. Marshall, Tim Kovacs

Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Incorporation of adaptive mutation based on subjective evaluation in an interactive evolution strategy.

Praminda Caleb-Solly, Jim E. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Editorial Introduction Special Issue on Memetic Algorithms.

William E. Hart, N. Ktaliorasnogor, Jim E. Smith

Evol. Comput., 2004

Authors' Answer to the Book Review of Introduction to Evolutionary Computing Published in Issue 12: 2.

A. E. Eiben, James E. Smith

Evol. Comput., 2004

2003

Introduction to Evolutionary Computing

A. E. Eiben, James E. Smith

Natural Computing Series, Springer, ISBN: 978-3-662-05094-1, 2003

Protein structure prediction with co-evolving memetic algorithms.

Jim E. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Study of fitness landscapes for the HP model of protein structure prediction.

S. D. Flores, Jim E. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Strategy Parameter Variety In Self-adaptation Of Mutation Rates.

Christopher Stone, Jim E. Smith

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001

An alternative approach for the evaluation of the neocognitron.

Michal Steuer, Praminda Caleb-Solly, Jim E. Smith

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1976

The Design of Totally Self-Checking Combinational Circuits

James Edward Smith

PhD thesis, 1976