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2010 – 2019
- 2016
[c22]Daria Sorokina, Erick Cantú-Paz:
Amazon Search: The Joy of Ranking Products. SIGIR 2016: 459-460- 2011
- [j15]Dustin Hillard, Eren Manavoglu, Hema Raghavan, Chris Leggetter, Erick Cantú-Paz, Rukmini Iyer:
The sum of its parts: reducing sparsity in click estimation with query segments. Inf. Retr. 14(3): 315-336 (2011) - 2010
- [j14]José Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Erick Cantú-Paz, Albert Y. Zomaya
:
Parallel Architectures and Bioinspired Algorithms. Parallel Comput. 36(10-11): 553-554 (2010) - [c21]Wanhong Xu, Eren Manavoglu, Erick Cantú-Paz:
Temporal click model for sponsored search. SIGIR 2010: 106-113 - [c20]Haibin Cheng, Erick Cantú-Paz:
Personalized click prediction in sponsored search. WSDM 2010: 351-360 - [p5]Francisco Fernández de Vega, Erick Cantú-Paz:
Introduction. Parallel and Distributed Computational Intelligence 2010: 1-9 - [e7]Francisco Fernández de Vega, Erick Cantú-Paz:
Parallel and Distributed Computational Intelligence. Studies in Computational Intelligence 269, Springer 2010, ISBN 978-3-642-10674-3 [contents]
2000 – 2009
- 2008
- [j13]Francisco Fernández de Vega, Erick Cantú-Paz:
Special issue on distributed bioinspired algorithms. Soft Comput. 12(12): 1143-1144 (2008) - 2007
- [p4]Erick Cantú-Paz:
Parameter Setting in Parallel Genetic Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 259-276 - 2006
- [j12]Francisco Fernández de Vega, Erick Cantú-Paz:
Special issue on parallel bioinspired algorithms. J. Parallel Distributed Comput. 66(8): 989-990 (2006) - [p3]Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10 - [p2]Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz:
Design of Parallel Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 187-203 - [p1]Erick Cantú-Paz:
Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 291-314 - [e6]Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence 33, Springer 2006, ISBN 978-3-540-34953-2 [contents] - 2005
- [j11]James A. Foster, Erick Cantú-Paz:
Introduction. Genet. Program. Evolvable Mach. 6(1): 5-6 (2005) - [j10]Erick Cantú-Paz, Chandrika Kamath:
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Trans. Syst. Man Cybern. Part B 35(5): 915-927 (2005) - [c19]Francisco Fernández de Vega, Erick Cantú-Paz:
Message from the Chairs. ICPP Workshops 2005: 572 - 2004
- [c18]Erick Cantú-Paz:
Adaptive Sampling for Noisy Problems. GECCO (1) 2004: 947-958 - [c17]Erick Cantú-Paz:
Feature Subset Selection, Class Separability, and Genetic Algorithms. GECCO (1) 2004: 959-970 - [c16]Erick Cantú-Paz, Sen-Ching S. Cheung, Chandrika Kamath:
Retrieval of similar objects in simulation data using machine learning techniques. Image Processing: Algorithms and Systems 2004: 251-258 - [c15]Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath:
Feature selection in scientific applications. KDD 2004: 788-793 - [c14]Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano:
Saving Resources with Plagues in Genetic Algorithms. PPSN 2004: 272-281 - 2003
- [j9]Erick Cantú-Paz, Chandrika Kamath:
Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks 16(3-4): 507-517 (2003) - [j8]Erick Cantú-Paz, Chandrika Kamath:
Inducing oblique decision trees with evolutionary algorithms. IEEE Trans. Evol. Comput. 7(1): 54-68 (2003) - [c13]Erick Cantú-Paz:
Pruning Neural Networks with Distribution Estimation Algorithms. GECCO 2003: 790-800 - [c12]Erick Cantú-Paz, David E. Goldberg:
Are Multiple Runs of Genetic Algorithms Better than One? GECCO 2003: 801-812 - [e5]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6 [contents] - [e4]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller:
Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4 [contents] - 2002
- [j7]Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang:
Classifying bent-double galaxies. Comput. Sci. Eng. 4(4): 52-60 (2002) - [j6]Erick Cantú-Paz:
Order statistics and selection methods of evolutionary algorithms. Inf. Process. Lett. 82(1): 15-22 (2002) - [c11]Erick Cantú-Paz:
Feature Subset Selection By Estimation Of Distribution Algorithms. GECCO 2002: 303-310 - [c10]Erick Cantú-Paz:
On Random Numbers And The Performance Of Genetic Algorithms. GECCO 2002: 311-318 - [c9]Erick Cantú-Paz, Chandrika Kamath:
Evolving Neural Networks For The Classification Of Galaxies. GECCO 2002: 1019-1026 - [c8]Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz:
Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) 2002: 499-502 - [c7]Chandrika Kamath, Erick Cantú-Paz, David Littau:
Approximate Splitting for Ensembles of Trees using Histograms. SDM 2002: 370-383 - [e3]William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska:
GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002. Morgan Kaufmann 2002, ISBN 1-55860-878-8 [contents] - [e2]Erick Cantú-Paz:
Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002. AAAI 2002 [contents] - 2001
- [j5]Erick Cantú-Paz:
Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms. J. Heuristics 7(4): 311-334 (2001) - 2000
- [b2]Erick Cantú-Paz:
Efficient and accurate parallel genetic algorithms. Genetic algorithms and evolutionary computation 1, Kluwer 2000, ISBN 978-0-7923-7221-9, pp. I-XVI, 1-162 - [j4]Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. 8(3): 311-340 (2000) - [j3]Erick Cantú-Paz:
Markov chain models of parallel genetic algorithms. IEEE Trans. Evol. Comput. 4(3): 216-226 (2000) - [c6]Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282 - [c5]Erick Cantú-Paz:
Selection Intensity in Genetic Algorithm with Generation Gaps. GECCO 2000: 911-918 - [c4]Erick Cantú-Paz, Chandrika Kamath:
Using Evolutionary Algorithms to Induce Oblique Decision Trees. GECCO 2000: 1053-1060 - [e1]L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000. Morgan Kaufmann 2000, ISBN 1-55860-708-0 [contents]
1990 – 1999
- 1999
- [b1]Erick Cantú-Paz:
Designing Efficient and Accurate Parallel Genetic Algorithms. University of Illinois Urbana-Champaign, USA, 1999 - [j2]Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller:
The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evol. Comput. 7(3): 231-253 (1999) - [j1]Erick Cantú-Paz, David E. Goldberg:
On the Scalability of Parallel Genetic Algorithms. Evol. Comput. 7(4): 429-449 (1999) - [c3]Erick Cantú-Paz:
Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms. GECCO 1999: 91-98 - [c2]Erick Cantú-Paz:
Migration Policies and Takeover Times in Genetic Algorithms. GECCO 1999: 775 - 1997
- [c1]Erick Cantú-Paz, David E. Goldberg:
Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA 1997: 113-120
Coauthor Index
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