Robert E. Smith

According to our database, Robert E. Smith authored at least 60 papers between 1987 and 2021.

Collaborative distances:

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

2021

Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts.

Jacob Turton, Ali Kabiri, David Tuckett, Robert Elliott Smith, David P. Vinson

CoRR, 2021

Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings.

Jacob Turton, Robert Elliott Smith, David P. Vinson

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2018

Measuring the Influencers in the News Media's Narratives.

Samuel Oliver Stern, David Tuckett, Robert Elliott Smith, Rickard Nyman

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2015

State Space Modeling & Bayesian Inference with Computational Intelligence.

Ayub Hanif, Robert Elliott Smith

New Math. Nat. Comput., 2015

2014

Tracking phantastic objects: A computer algorithmic investigation of narrative evolution in unstructured data sources.

David Tuckett, Robert Elliott Smith, Rickard Nyman

Soc. Networks, 2014

2013

Parallel Multi-Objective Genetic Algorithm - GPU Accelerated Asynchronously Distributed NSGA II.

Oliver Rice, Robert E. Smith, Rickard Nyman

Proceedings of the Theory and Practice of Natural Computing, 2013

Rejection based support vector machines for financial time series forecasting.

Yasin I. Rosowsky, Robert E. Smith

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Stochastic volatility modeling with computational intelligence particle filters.

Ayub Hanif, Robert Elliott Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Hybrid metaheuristic particle filters for stochastic volatility estimation.

Robert Elliott Smith, Muhammad Shakir Hussain

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An information-based approach towards neuro-evolution.

Behzad Behzadan, Robert Elliott Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Generation path-switching in sequential Monte-Carlo methods.

Ayub Hanif, Robert E. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010

A learning classifier system with mutual-information-based fitness.

Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst

Evol. Intell., 2010

2009

Prediction of topological contacts in proteins using learning classifier systems.

Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor

Soft Comput., 2009

Automated Alphabet Reduction for Protein Datasets.

Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor

BMC Bioinform., 2009

MILCS in protein structure prediction with default hierarchies.

Robert E. Smith, Max Kun Jiang

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Mutual information neuro-evolutionary system (MINES).

Robert E. Smith, Behzad Behzadan

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

XCS for Fusing Multi-Spectral Data in Automatic Target Recognition.

Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith

Proceedings of the Learning Classifier Systems in Data Mining, 2008

Linkage Learning in Estimation of Distribution Algorithms.

David Jonathan Coffin, Robert E. Smith

Proceedings of the Linkage in Evolutionary Computation, 2008

2007

Robust automatic target recognition using learning classifier systems.

B. Ravichandran, Avinash Gandhe, Robert E. Smith, Raman K. Mehra

Inf. Fusion, 2007

MILCS: a mutual information learning classifier system.

Robert Elliott Smith, Max Kun Jiang

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Fused, multi-spectral automatic target recognition with XCS.

Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Why is parity hard for estimation of distribution algorithms?

David Jonathan Coffin, Robert Elliott Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A learning classifier system with mutual-information-based fitness.

Robert Elliott Smith, Max Kun Jiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

The limitations of distribution sampling for linkage learning.

David Jonathan Coffin, Robert Elliott Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Journeys in non-classical computation II: initial journeys and waypoints.

Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Thomas R. Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge

Int. J. Parallel Emergent Distributed Syst., 2006

2005

Journeys in non-classical computation I: A grand challenge for computing research.

Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Tom Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge

Parallel Algorithms Appl., 2005

Conceptual Frameworks for Artificial Immune Systems.

Susan Stepney, Robert Elliott Smith, Jonathan Timmis, Andy M. Tyrrell, Mark James Neal, Andrew N. W. Hone

Int. J. Unconv. Comput., 2005

Directed Multi-Objective Optimization.

Martin Brown, Robert E. Smith

Int. J. Comput. Syst. Signals, 2005

XCS for robust automatic target recognition.

B. Ravichandran, Avinash Gandhe, Robert E. Smith

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An iterative mutual information histogram technique for linkage learning in evolutionary algorithms.

Robert E. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Towards a Conceptual Framework for Artificial Immune Systems.

Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell

Proceedings of the Artificial Immune Systems, Third International Conference, 2004

Quality of information measures for autonomous decision-making.

Ravi K. Prasanth, João B. D. Cabrera, Jayesh Amin, Raman K. Mehra, Russell Purtell, Robert Elliott Smith

Proceedings of the 2004 American Control Conference, 2004

2003

Artificial Immune Systems and the Grand Challenge for Non-classical Computation.

Susan Stepney, John A. Clark, Colin G. Johnson, Derek Partridge, Robert E. Smith

Proceedings of the Artificial Immune Systems, Second International Conference, 2003

Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC.

Robert E. Smith, Claudio Bonacina

Proceedings of the Genetic and Evolutionary Computation, 2003

Effective Use of Directional Information in Multi-objective Evolutionary Computation.

Martin Brown, Robert E. Smith

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

XCS Applied To Mapping FPGA Architectures.

Martin Danek, Robert E. Smith

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

2001

A Generalisable Measure of Self-Organisation and Emergence.

W. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway

Proceedings of the Artificial Neural Networks, 2001

Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers.

Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra

Proceedings of the Applications of Evolutionary Computing, 2001

2000

Embodiment of Evolutionary Computation in General Agents.

Robert E. Smith, Claudio Bonacina, Paul E. Kearney, Walter Merlat

Evol. Comput., 2000

New Methods for Tunable, Random Landscapes.

Robert Elliott Smith, Jim Smith

Proceedings of the Sixth Workshop on Foundations of Genetic Algorithms, 2000

1999

The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques.

Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra

Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

What Is a Learning Classifier System?

John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson

Proceedings of the Learning Classifier Systems, From Foundations to Applications, 1999

1998

An Examination of Tunable, Random Search Landscapes.

Robert E. Smith, Jim Smith

Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

Analytical Design of Reinforcement Learning Tasks.

Robert E. Smith

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997

Combined biological paradigms: A neural, genetics-based autonomous systems strategy.

Robert E. Smith, H. Brown Cribbs III

Robotics Auton. Syst., 1997

1995

Adaptively Resizing Populations: Algorithm, Analysis, and First Results.

Robert E. Smith, Ellen Smuda

Complex Syst., 1995

Fitness inheritance in genetic algorithms.

Robert E. Smith, Bruce A. Dike, S. A. Stegmann

Proceedings of the 1995 ACM symposium on applied computing, 1995

1994

Is a Learning Classifier System a Type of Neural Network?

Robert E. Smith, H. Brown Cribbs III

Evol. Comput., 1994

Memory Exploitation in Learning Classifier Systems.

Robert E. Smith

Evol. Comput., 1994

Bulk Cable Routing Using Genetic Algorithms.

David A. Kloske, Robert E. Smith

Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1994

1993

Searching for Diverse, Cooperative Populations with Genetic Algorithms.

Robert E. Smith, Stephanie Forrest, Alan S. Perelson

Evol. Comput., 1993

Using Genetic Algorithms to Explore Pattern Recognition in the Immune System.

Stephanie Forrest, Robert E. Smith, Brenda Javornik, Alan S. Perelson

Evol. Comput., 1993

Adaptively Resizing Populations: An Algorithm and Analysis.

Robert E. Smith

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992

Diploidy and Dominance in Artificial Genetic Search.

Robert E. Smith, David E. Goldberg

Complex Syst., 1992

Reinforcement learning with classifier systems: Adaptive default hierarchy formation.

Robert E. Smith, David E. Goldberg

Appl. Artif. Intell., 1992

Population Diversity in an Immune System Model: Implications for Genetic Search.

Robert E. Smith, Stephanie Forrest, Alan S. Perelson

Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

1991

System Identification with Evolving Polynomial Networks.

Hillol Kargupta, Robert E. Smith

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990

Variable Default Hierarchy Separation in a Classifier System.

Robert E. Smith, David E. Goldberg

Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

1989

A Study of Rule Set Development in a Learning Classifier System.

Robert E. Smith, Manuel Valenzuela-Rendón

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1987

Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy.

David E. Goldberg, Robert E. Smith

Proceedings of the 2nd International Conference on Genetic Algorithms, 1987