Robert Elliott Smith

Robert E. Smith, Jacques-Donald Tournier, Fernando Calamante, Alan Connelly: SIFT: Spherical-deconvolution informed filtering of tractograms. NeuroImage 67: 298-312 (2013)

Fernando Calamante, Richard A. J. Masterton, Jacques-Donald Tournier, Robert E. Smith, Lisa Willats, David Raffelt, Alan Connelly: Track-weighted functional connectivity (TW-FC): A tool for characterizing the structural-functional connections in the brain. NeuroImage 70: 199-210 (2013)

Fernando Calamante, Jacques-Donald Tournier, Robert E. Smith, Alan Connelly: A generalised framework for super-resolution track-weighted imaging. NeuroImage 59(3): 2494-2503 (2012)

Robert E. Smith, Jacques-Donald Tournier, Fernando Calamante, Alan Connelly: Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information. NeuroImage 62(3): 1924-1938 (2012)

Ayub Hanif, Robert E. Smith: Generation path-switching in sequential Monte-Carlo methods. IEEE Congress on Evolutionary Computation 2012: 1-7

Robert Elliott Smith, Muhammad Shakir Hussain: Hybrid metaheuristic particle filters for stochastic volatility estimation. GECCO 2012: 1167-1174

Behzad Behzadan, Robert Elliott Smith: An information-based approach towards neuro-evolution. GECCO (Companion) 2012: 1491-1492

Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst: A learning classifier system with mutual-information-based fitness. Evolutionary Intelligence 3(1): 31-50 (2010)

Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor: Automated Alphabet Reduction for Protein Datasets. BMC Bioinformatics 10 (2009)

Xiaojing Yang, Robert E. Smith: Beyond Attention Effects: Modeling the Persuasive and Emotional Effects of Advertising Creativity. Marketing Science 28(5): 935-949 (2009)

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)

Robert E. Smith, Behzad Behzadan: Mutual information neuro-evolutionary system (MINES). IEEE Congress on Evolutionary Computation 2009: 1523-1529

Robert E. Smith, Max Kun Jiang: MILCS in protein structure prediction with default hierarchies. GEC Summit 2009: 953-956

David Jonathan Coffin, Robert E. Smith: Linkage Learning in Estimation of Distribution Algorithms. Linkage in Evolutionary Computation 2008: 141-156

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

B. Ravichandran, Avinash Gandhe, Robert E. Smith, Raman K. Mehra: Robust automatic target recognition using learning classifier systems. Information Fusion 8(3): 252-265 (2007)

David Jonathan Coffin, Robert Elliott Smith: The limitations of distribution sampling for linkage learning. IEEE Congress on Evolutionary Computation 2007: 364-369

Robert Elliott Smith, Max Kun Jiang: A learning classifier system with mutual-information-based fitness. IEEE Congress on Evolutionary Computation 2007: 2173-2180

David Jonathan Coffin, Robert Elliott Smith: Why is parity hard for estimation of distribution algorithms? GECCO 2007: 624

Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith: Fused, multi-spectral automatic target recognition with XCS. GECCO 2007: 1874

Robert Elliott Smith, Max Kun Jiang: MILCS: a mutual information learning classifier system. GECCO 2007: 1877

Robert Elliott Smith, Max Kun Jiang: MILCS: a mutual information learning classifier system. GECCO (Companion) 2007: 2945-2952

Robert Elliott Smith, Max Kun Jiang: A Learning Classifier System with Mutual-Information-Based Fitness. IWLCS 2007: 136-153

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. IJPEDS 21(2): 97-125 (2006)

Martin Brown, Robert E. Smith: Directed Multi-Objective Optimization. Int. J. Comput. Syst. Signal 6(1): 3-17 (2005)

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)

Robert E. Smith: An iterative mutual information histogram technique for linkage learning in evolutionary algorithms. Congress on Evolutionary Computation 2005: 2166-2173

B. Ravichandran, Avinash Gandhe, Robert E. Smith: XCS for robust automatic target recognition. GECCO 2005: 1803-1810

Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell: Towards a Conceptual Framework for Artificial Immune Systems. ICARIS 2004: 53-64

Martin Brown, Robert E. Smith: Effective Use of Directional Information in Multi-objective Evolutionary Computation. GECCO 2003: 778-789

Robert E. Smith, Claudio Bonacina: Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC. GECCO 2003: 1382-1393

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

Martin Danek, Robert E. Smith: XCS Applied To Mapping FPGA Architectures. GECCO 2002: 912-919

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

W. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway: A Generalisable Measure of Self-Organisation and Emergence. ICANN 2001: 857-864

Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, H. Tijink (Eds.): 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

Robert E. Smith, Claudio Bonacina, Paul E. Kearney, Walter Merlat: Embodiment of Evolutionary Computation in General Agents. Evolutionary Computation 8(4): 475-493 (2000)

Robert Elliott Smith, Jim Smith: New Methods for Tunable, Random Landscapes. FOGA 2000: 47-67

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

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

Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant Honavar, Mark J. Jakiela, Robert E. Smith (Eds.): 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

Robert E. Smith: Analytical Design of Reinforcement Learning Tasks. FLAIRS Conference 1998: 362-366

Robert E. Smith, Jim Smith: An Examination of Tunable, Random Search Landscapes. FOGA 1998: 165-181

Robert E. Smith, H. Brown Cribbs III: Combined biological paradigms: A neural, genetics-based autonomous systems strategy. Robotics and Autonomous Systems 22(1): 65-74 (1997)

Robert E. Smith, Bruce A. Dike, S. A. Stegmann: Fitness inheritance in genetic algorithms. SAC 1995: 345-350

Robert E. Smith, H. Brown Cribbs III: Is a Learning Classifier System a Type of Neural Network? Evolutionary Computation 2(1): 19-36 (1994)

Robert E. Smith: Memory Exploitation in Learning Classifier Systems. Evolutionary Computation 2(3): 199-220 (1994)

David A. Kloske, Robert E. Smith: Bulk Cable Routing Using Genetic Algorithms. IEA/AIE 1994: 427-431

Robert E. Smith, Stephanie Forrest, Alan S. Perelson: Searching for Diverse, Cooperative Populations with Genetic Algorithms. Evolutionary Computation 1(2): 127-149 (1993)

Stephanie Forrest, Robert E. Smith, Brenda Javornik, Alan S. Perelson: Using Genetic Algorithms to Explore Pattern Recognition in the Immune System. Evolutionary Computation 1(3): 191-211 (1993)

Robert E. Smith: Adaptively Resizing Populations: An Algorithm and Analysis. ICGA 1993: 653

Robert E. Smith, David E. Goldberg: Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Applied Artificial Intelligence 6(1): 79-102 (1992)

Robert E. Smith, Stephanie Forrest, Alan S. Perelson: Population Diversity in an Immune System Model: Implications for Genetic Search. FOGA 1992: 153-165

Hillol Kargupta, Robert E. Smith: System Identification with Evolving Polynomial Networks. ICGA 1991: 370-376

Robert E. Smith, David E. Goldberg: Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167

Robert E. Smith, Manuel Valenzuela-Rendón: A Study of Rule Set Development in a Learning Classifier System. ICGA 1989: 340-346

David E. Goldberg, Robert E. Smith: Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA 1987: 59-68