Erick Cantú-Paz

According to our database, Erick Cantú-Paz authored at least 44 papers between 1997 and 2016.

Collaborative distances:

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

2016

Amazon Search: The Joy of Ranking Products.

Daria Sorokina, Erick Cantú-Paz

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2011

The sum of its parts: reducing sparsity in click estimation with query segments.

Dustin Hillard, Eren Manavoglu, Hema Raghavan, Chris Leggetter, Erick Cantú-Paz, Rukmini Iyer

Inf. Retr., 2011

2010

Introduction.

Francisco Fernández de Vega, Erick Cantú-Paz

Proceedings of the Parallel and Distributed Computational Intelligence, 2010

Parallel Architectures and Bioinspired Algorithms.

José Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Erick Cantú-Paz, Albert Y. Zomaya

Parallel Comput., 2010

Personalized click prediction in sponsored search.

Haibin Cheng, Erick Cantú-Paz

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Temporal click model for sponsored search.

Wanhong Xu, Eren Manavoglu, Erick Cantú-Paz

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

2008

Special issue on distributed bioinspired algorithms.

Francisco Fernández de Vega, Erick Cantú-Paz

Soft Comput., 2008

2007

Parameter Setting in Parallel Genetic Algorithms.

Erick Cantú-Paz

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

2006

Introduction.

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Design of Parallel Estimation of Distribution Algorithms.

Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms.

Erick Cantú-Paz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Special issue on parallel bioinspired algorithms.

Francisco Fernández de Vega, Erick Cantú-Paz

J. Parallel Distributed Comput., 2006

2005

An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems.

Erick Cantú-Paz, Chandrika Kamath

IEEE Trans. Syst. Man Cybern. Part B, 2005

Introduction.

James A. Foster, Erick Cantú-Paz

Genet. Program. Evolvable Mach., 2005

Message from the Chairs.

Francisco Fernández de Vega, Erick Cantú-Paz

Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005

2004

Saving Resources with Plagues in Genetic Algorithms.

Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano

Proceedings of the Parallel Problem Solving from Nature, 2004

Feature selection in scientific applications.

Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Retrieval of similar objects in simulation data using machine learning techniques.

Erick Cantú-Paz, Sen-Ching S. Cheung, Chandrika Kamath

Proceedings of the Image Processing: Algorithms and Systems III, 2004

Feature Subset Selection, Class Separability, and Genetic Algorithms.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation, 2004

Adaptive Sampling for Noisy Problems.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation, 2004

2003

Inducing oblique decision trees with evolutionary algorithms.

Erick Cantú-Paz, Chandrika Kamath

IEEE Trans. Evol. Comput., 2003

Evolving neural networks to identify bent-double galaxies in the FIRST survey.

Erick Cantú-Paz, Chandrika Kamath

Neural Networks, 2003

Are Multiple Runs of Genetic Algorithms Better than One?

Erick Cantú-Paz, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2003

Pruning Neural Networks with Distribution Estimation Algorithms.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

Order statistics and selection methods of evolutionary algorithms.

Erick Cantú-Paz

Inf. Process. Lett., 2002

Classifying bent-double galaxies.

Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang

Comput. Sci. Eng., 2002

Approximate Splitting for Ensembles of Trees using Histograms.

Chandrika Kamath, Erick Cantú-Paz, David Littau

Proceedings of the Second SIAM International Conference on Data Mining, 2002

Probabilistic Model-Based Detection of Bent-Double Radio Galaxies.

Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Evolving Neural Networks For The Classification Of Galaxies.

Erick Cantú-Paz, Chandrika Kamath

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

On Random Numbers And The Performance Of Genetic Algorithms.

Erick Cantú-Paz

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

Feature Subset Selection By Estimation Of Distribution Algorithms.

Erick Cantú-Paz

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

2001

Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms.

Erick Cantú-Paz

J. Heuristics, 2001

2000

Markov chain models of parallel genetic algorithms.

Erick Cantú-Paz

IEEE Trans. Evol. Comput., 2000

Linkage Problem, Distribution Estimation, and Bayesian Networks.

Martin Pelikan, David E. Goldberg, Erick Cantú-Paz

Evol. Comput., 2000

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.

Martin Pelikan, David E. Goldberg, Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Using Evolutionary Algorithms to Induce Oblique Decision Trees.

Erick Cantú-Paz, Chandrika Kamath

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Selection Intensity in Genetic Algorithm with Generation Gaps.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Efficient and accurate parallel genetic algorithms.

Erick Cantú-Paz

Genetic algorithms and evolutionary computation 1, Kluwer, ISBN: 978-0-7923-7221-9, 2000

1999

Designing Efficient and Accurate Parallel Genetic Algorithms

Erick Cantú-Paz

PhD thesis, 1999

The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations.

Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller

Evol. Comput., 1999

On the Scalability of Parallel Genetic Algorithms.

Erick Cantú-Paz, David E. Goldberg

Evol. Comput., 1999

Migration Policies and Takeover Times in Genetic Algorithms.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms.

Erick Cantú-Paz

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1997

Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms.

Erick Cantú-Paz, David E. Goldberg

Proceedings of the 7th International Conference on Genetic Algorithms, 1997