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ORCIDRobert E. Smith 0001
Person information
- affiliation: University College London, Department of Computer Science, UK
- affiliation: REsystems Inc., Bokeelia, FL, USA
- affiliation: University of the West of England, Intelligent Computer Systems, Centre, Bristol, UK
- affiliation: University of Alabama, Department of Aerospace Engineering and Mechanics, Tuscaloosa, AL, USA
Other persons with the same name
- Robert E. Smith — disambiguation page
- Robert E. Smith 0002
![[0000-0003-3636-4642]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3636-4642")
(aka: Robert Elton Smith) — Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia (and 1 more)
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2020 – today
- 2021
[c40]Jacob Turton, Robert Elliott Smith, David P. Vinson:
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings. RepL4NLP@ACL-IJCNLP 2021: 248-262- [i2]Jacob Turton, Ali Kabiri, David Tuckett, Robert Elliott Smith, David P. Vinson:
Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts. CoRR abs/2112.02607 (2021) - 2020
- [i1]Jacob Turton, David P. Vinson, Robert Elliott Smith:
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings. CoRR abs/2012.15353 (2020)
2010 – 2019
- 2018
- [c39]Samuel Oliver Stern, David Tuckett, Robert Elliott Smith, Rickard Nyman:
Measuring the Influencers in the News Media's Narratives. ASONAM 2018: 698-701 - 2015
- [j19]Ayub Hanif, Robert Elliott Smith:
State Space Modeling & Bayesian Inference with Computational Intelligence. New Math. Nat. Comput. 11(1): 71-101 (2015) - 2014
- [j18]David Tuckett, Robert Elliott Smith, Rickard Nyman:
Tracking phantastic objects: A computer algorithmic investigation of narrative evolution in unstructured data sources. Soc. Networks 38: 121-133 (2014) - 2013
- [c38]Ayub Hanif, Robert Elliott Smith:
Stochastic volatility modeling with computational intelligence particle filters. GECCO 2013: 1269-1276 - [c37]Yasin I. Rosowsky, Robert E. Smith:
Rejection based support vector machines for financial time series forecasting. IJCNN 2013: 1-7 - [c36]Oliver Rice, Robert E. Smith, Rickard Nyman:
Parallel Multi-Objective Genetic Algorithm - GPU Accelerated Asynchronously Distributed NSGA II. TPNC 2013: 217-227 - 2012
- [c35]Ayub Hanif, Robert E. Smith:
Generation path-switching in sequential Monte-Carlo methods. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c34]Robert Elliott Smith, Muhammad Shakir Hussain:
Hybrid metaheuristic particle filters for stochastic volatility estimation. GECCO 2012: 1167-1174 - [c33]Behzad Behzadan, Robert Elliott Smith:
An information-based approach towards neuro-evolution. GECCO (Companion) 2012: 1491-1492 - 2010
- [j17]Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst:
A learning classifier system with mutual-information-based fitness. Evol. Intell. 3(1): 31-50 (2010)
2000 – 2009
- 2009
- [j16]Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor:
Automated Alphabet Reduction for Protein Datasets. BMC Bioinform. 10 (2009) - [j15]Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor:
Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. 13(3): 245-258 (2009) - [c32]Robert E. Smith, Behzad Behzadan:
Mutual information neuro-evolutionary system (MINES). IEEE Congress on Evolutionary Computation 2009: 1523-1529 - [c31]Robert E. Smith, Max Kun Jiang:
MILCS in protein structure prediction with default hierarchies. GEC Summit 2009: 953-956 - 2008
- [p2]David Jonathan Coffin, Robert E. Smith:
Linkage Learning in Estimation of Distribution Algorithms. Linkage in Evolutionary Computation 2008: 141-156 - [p1]Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith:
XCS for Fusing Multi-Spectral Data in Automatic Target Recognition. Learning Classifier Systems in Data Mining 2008: 147-167 - 2007
- [j14]B. Ravichandran, Avinash Gandhe, Robert E. Smith, Raman K. Mehra:
Robust automatic target recognition using learning classifier systems. Inf. Fusion 8(3): 252-265 (2007) - [c30]David Jonathan Coffin, Robert Elliott Smith:
The limitations of distribution sampling for linkage learning. IEEE Congress on Evolutionary Computation 2007: 364-369 - [c29]Robert Elliott Smith, Max Kun Jiang:
A learning classifier system with mutual-information-based fitness. IEEE Congress on Evolutionary Computation 2007: 2173-2180 - [c28]David Jonathan Coffin, Robert Elliott Smith:
Why is parity hard for estimation of distribution algorithms? GECCO 2007: 624 - [c27]Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith:
Fused, multi-spectral automatic target recognition with XCS. GECCO 2007: 1874 - [c26]Robert Elliott Smith, Max Kun Jiang:
MILCS: a mutual information learning classifier system. GECCO 2007: 1877 - [c25]Robert Elliott Smith, Max Kun Jiang:
MILCS: a mutual information learning classifier system. GECCO (Companion) 2007: 2945-2952 - [c24]Robert Elliott Smith, Max Kun Jiang:
A Learning Classifier System with Mutual-Information-Based Fitness. IWLCS 2007: 136-153 - 2006
- [j13]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:
Journeys in non-classical computation II: initial journeys and waypoints. Int. J. Parallel Emergent Distributed Syst. 21(2): 97-125 (2006) - 2005
- [j12]Martin Brown, Robert E. Smith:
Directed Multi-Objective Optimization. Int. J. Comput. Syst. Signals 6(1): 3-17 (2005) - [j11]Susan Stepney, Robert Elliott Smith, Jonathan Timmis, Andy M. Tyrrell, Mark James Neal, Andrew N. W. Hone:
Conceptual Frameworks for Artificial Immune Systems. Int. J. Unconv. Comput. 1(3): 315-338 (2005) - [j10]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:
Journeys in non-classical computation I: A grand challenge for computing research. Parallel Algorithms Appl. 20(1): 5-19 (2005) - [c23]Robert E. Smith:
An iterative mutual information histogram technique for linkage learning in evolutionary algorithms. Congress on Evolutionary Computation 2005: 2166-2173 - [c22]B. Ravichandran, Avinash Gandhe, Robert E. Smith:
XCS for robust automatic target recognition. GECCO 2005: 1803-1810 - 2004
- [c21]Ravi K. Prasanth, João B. D. Cabrera, Jayesh Amin, Raman K. Mehra, Russell Purtell, Robert Elliott Smith:
Quality of information measures for autonomous decision-making. ACC 2004: 1002-1007 - [c20]Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell:
Towards a Conceptual Framework for Artificial Immune Systems. ICARIS 2004: 53-64 - 2003
- [c19]Martin Brown, Robert E. Smith:
Effective Use of Directional Information in Multi-objective Evolutionary Computation. GECCO 2003: 778-789 - [c18]Robert E. Smith, Claudio Bonacina:
Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC. GECCO 2003: 1382-1393 - [c17]Susan Stepney, John A. Clark, Colin G. Johnson, Derek Partridge, Robert E. Smith:
Artificial Immune Systems and the Grand Challenge for Non-classical Computation. ICARIS 2003: 204-216 - 2002
- [c16]Martin Danek, Robert E. Smith:
XCS Applied To Mapping FPGA Architectures. GECCO 2002: 912-919 - 2001
- [c15]Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra:
Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers. EvoWorkshops 2001: 233-242 - [c14]W. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway:
A Generalisable Measure of Self-Organisation and Emergence. ICANN 2001: 857-864 - [e2]Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, H. Tijink:
Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings. Lecture Notes in Computer Science 2037, Springer 2001, ISBN 3-540-41920-9 [contents] - 2000
- [j9]Robert E. Smith, Claudio Bonacina, Paul E. Kearney, Walter Merlat:
Embodiment of Evolutionary Computation in General Agents. Evol. Comput. 8(4): 475-493 (2000) - [c13]Robert Elliott Smith, Jim Smith:
New Methods for Tunable, Random Landscapes. FOGA 2000: 47-67
1990 – 1999
- 1999
- [c12]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:
What Is a Learning Classifier System? Learning Classifier Systems 1999: 3-32 - [c11]Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra:
The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques. Learning Classifier Systems 1999: 283-300 - [e1]Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant G. Honavar, Mark J. Jakiela, Robert E. Smith:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA. Morgan Kaufmann 1999, ISBN 1-55860-611-4 [contents] - 1998
- [c10]Robert E. Smith:
Analytical Design of Reinforcement Learning Tasks. FLAIRS 1998: 362-366 - [c9]Robert E. Smith, Jim Smith:
An Examination of Tunable, Random Search Landscapes. FOGA 1998: 165-181 - 1997
- [j8]Robert E. Smith, H. Brown Cribbs III:
Combined biological paradigms: A neural, genetics-based autonomous systems strategy. Robotics Auton. Syst. 22(1): 65-74 (1997) - 1995
- [j7]Robert E. Smith, Ellen Smuda:
Adaptively Resizing Populations: Algorithm, Analysis, and First Results. Complex Syst. 9(1) (1995) - [c8]Robert E. Smith, Bruce A. Dike, S. A. Stegmann:
Fitness inheritance in genetic algorithms. SAC 1995: 345-350 - 1994
- [j6]Robert E. Smith, H. Brown Cribbs III:
Is a Learning Classifier System a Type of Neural Network? Evol. Comput. 2(1): 19-36 (1994) - [j5]Robert E. Smith:
Memory Exploitation in Learning Classifier Systems. Evol. Comput. 2(3): 199-220 (1994) - [c7]David A. Kloske, Robert E. Smith:
Bulk Cable Routing Using Genetic Algorithms. IEA/AIE 1994: 427-431 - 1993
- [j4]Robert E. Smith, Stephanie Forrest, Alan S. Perelson:
Searching for Diverse, Cooperative Populations with Genetic Algorithms. Evol. Comput. 1(2): 127-149 (1993) - [j3]Stephanie Forrest, Robert E. Smith, Brenda Javornik, Alan S. Perelson:
Using Genetic Algorithms to Explore Pattern Recognition in the Immune System. Evol. Comput. 1(3): 191-211 (1993) - [c6]Robert E. Smith:
Adaptively Resizing Populations: An Algorithm and Analysis. ICGA 1993: 653 - 1992
- [j2]Robert E. Smith, David E. Goldberg:
Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Appl. Artif. Intell. 6(1): 79-102 (1992) - [j1]Robert E. Smith, David E. Goldberg:
Diploidy and Dominance in Artificial Genetic Search. Complex Syst. 6(3) (1992) - [c5]Robert E. Smith, Stephanie Forrest, Alan S. Perelson:
Population Diversity in an Immune System Model: Implications for Genetic Search. FOGA 1992: 153-165 - 1991
- [c4]Hillol Kargupta, Robert E. Smith:
System Identification with Evolving Polynomial Networks. ICGA 1991: 370-376 - 1990
- [c3]Robert E. Smith, David E. Goldberg:
Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167
1980 – 1989
- 1989
- [c2]Robert E. Smith, Manuel Valenzuela-Rendón:
A Study of Rule Set Development in a Learning Classifier System. ICGA 1989: 340-346 - 1987
- [c1]David E. Goldberg, Robert E. Smith:
Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA 1987: 59-68
Coauthor Index
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