Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. - Erick Cantú-Paz; David E. Goldberg (ICGA, 1997)

Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms. - Erick Cantú-Paz (GECCO, 1999)

Migration Policies and Takeover Times in Genetic Algorithms. - Erick Cantú-Paz (GECCO, 1999)

On the Scalability of Parallel Genetic Algorithms. - Erick Cantú-Paz; David E. Goldberg (Evol. Comput., 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)

Designing Efficient and Accurate Parallel Genetic Algorithms - Erick Cantú-Paz (1999)

Efficient and accurate parallel genetic algorithms. - Erick Cantú-Paz (Kluwer, 2000)

Selection Intensity in Genetic Algorithm with Generation Gaps. - Erick Cantú-Paz (GECCO, 2000)

Using Evolutionary Algorithms to Induce Oblique Decision Trees. - Erick Cantú-Paz; Chandrika Kamath 001 (GECCO, 2000)

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (GECCO, 2000)

Linkage Problem, Distribution Estimation, and Bayesian Networks. - Martin Pelikan; David E. Goldberg; Erick Cantú-Paz (Evol. Comput., 2000)

Markov chain models of parallel genetic algorithms. - Erick Cantú-Paz (IEEE Trans. Evol. Comput., 2000)

Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms. - Erick Cantú-Paz (J. Heuristics, 2001)

Feature Subset Selection By Estimation Of Distribution Algorithms. - Erick Cantú-Paz (GECCO, 2002)

On Random Numbers And The Performance Of Genetic Algorithms. - Erick Cantú-Paz (GECCO, 2002)

Evolving Neural Networks For The Classification Of Galaxies. - Erick Cantú-Paz; Chandrika Kamath 001 (GECCO, 2002)

Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. - Sergey Kirshner; Igor V. Cadez; Padhraic Smyth; Chandrika Kamath 001; Erick Cantú-Paz (ICPR (2), 2002)

Approximate Splitting for Ensembles of Trees using Histograms. - Chandrika Kamath 001; Erick Cantú-Paz; David Littau (SDM, 2002)

Classifying bent-double galaxies. - Chandrika Kamath 001; Erick Cantú-Paz; Imola K. Fodor; Nu Ai Tang (Comput. Sci. Eng., 2002)

Order statistics and selection methods of evolutionary algorithms. - Erick Cantú-Paz (Inf. Process. Lett., 2002)

Pruning Neural Networks with Distribution Estimation Algorithms. - Erick Cantú-Paz (GECCO, 2003)

Are Multiple Runs of Genetic Algorithms Better than One? - Erick Cantú-Paz; David E. Goldberg (GECCO, 2003)

Evolving neural networks to identify bent-double galaxies in the FIRST survey. - Erick Cantú-Paz; Chandrika Kamath 001 (Neural Networks, 2003)

Inducing oblique decision trees with evolutionary algorithms. - Erick Cantú-Paz; Chandrika Kamath 001 (IEEE Trans. Evol. Comput., 2003)

Adaptive Sampling for Noisy Problems. - Erick Cantú-Paz (GECCO (1), 2004)

Feature Subset Selection, Class Separability, and Genetic Algorithms. - Erick Cantú-Paz (GECCO (1), 2004)

Retrieval of similar objects in simulation data using machine learning techniques. - Erick Cantú-Paz; Sen-Ching S. Cheung; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2004)

Feature selection in scientific applications. - Erick Cantú-Paz; Shawn D. Newsam; Chandrika Kamath 001 (KDD, 2004)

Saving Resources with Plagues in Genetic Algorithms. - Francisco Fernández de Vega; Erick Cantú-Paz; J. I. López; T. Manzano (PPSN, 2004)

Message from the Chairs. - Francisco Fernández de Vega; Erick Cantú-Paz (ICPP Workshops, 2005)

Introduction. - James A. Foster; Erick Cantú-Paz (Genet. Program. Evolvable Mach., 2005)

An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. - Erick Cantú-Paz; Chandrika Kamath 001 (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Special issue on parallel bioinspired algorithms. - Francisco Fernández de Vega; Erick Cantú-Paz (J. Parallel Distributed Comput., 2006)

Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms. - Erick Cantú-Paz (Scalable Optimization via Probabilistic Modeling, 2006)

Design of Parallel Estimation of Distribution Algorithms. - Jiri Ocenasek; Erick Cantú-Paz; Martin Pelikan; Josef Schwarz (Scalable Optimization via Probabilistic Modeling, 2006)

Introduction. - Martin Pelikan; Kumara Sastry; Erick Cantú-Paz (Scalable Optimization via Probabilistic Modeling, 2006)

Parameter Setting in Parallel Genetic Algorithms. - Erick Cantú-Paz (Parameter Setting in Evolutionary Algorithms, 2007)

Special issue on distributed bioinspired algorithms. - Francisco Fernández de Vega; Erick Cantú-Paz (Soft Comput., 2008)

Temporal click model for sponsored search. - Wanhong Xu; Eren Manavoglu; Erick Cantú-Paz (SIGIR, 2010)

Personalized click prediction in sponsored search. - Haibin Cheng; Erick Cantú-Paz (WSDM, 2010)

Parallel Architectures and Bioinspired Algorithms. - José Ignacio Hidalgo; Francisco Fernández 001; Juan Lanchares; Erick Cantú-Paz; Albert Y. Zomaya (Parallel Comput., 2010)

Introduction. - Francisco Fernández de Vega; Erick Cantú-Paz (Parallel and Distributed Computational Intelligence, 2010)

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)

Amazon Search: The Joy of Ranking Products. - Daria Sorokina; Erick Cantú-Paz (SIGIR, 2016)