Erick Cantú-Paz

52 papers A* 3A 17C 1Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2016	A*	`conf`	Amazon Search: The Joy of Ranking Products. SIGIR Daria Sorokina, Erick Cantú-Paz
2011	J	`jnl`	The sum of its parts: reducing sparsity in click estimation with query segments. Inf. Retr. Dustin Hillard, Eren Manavoglu, Hema Raghavan, Chris Leggetter, Erick Cantú-Paz, Rukmini Iyer
2010	—	`ch.`	Introduction. Parallel and Distributed Computational Intelligence Francisco Fernández de Vega, Erick Cantú-Paz
2010	J	`jnl`	Parallel Architectures and Bioinspired Algorithms. Parallel Comput. José Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Erick Cantú-Paz, Albert Y. Zomaya
2010	—	`book`	Parallel and Distributed Computational Intelligence Parallel and Distributed Computational Intelligence Francisco Fernández de Vega, Erick Cantú-Paz
2010	A	`conf`	Personalized click prediction in sponsored search. WSDM Haibin Cheng, Erick Cantú-Paz
2010	A*	`conf`	Temporal click model for sponsored search. SIGIR Wanhong Xu, Eren Manavoglu, Erick Cantú-Paz
2008	J	`jnl`	Special issue on distributed bioinspired algorithms. Soft Comput. Francisco Fernández de Vega, Erick Cantú-Paz
2007	—	`ch.`	Parameter Setting in Parallel Genetic Algorithms. Parameter Setting in Evolutionary Algorithms Erick Cantú-Paz
2006	—	`ch.`	Design of Parallel Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz
2006	—	`ch.`	Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms. Scalable Optimization via Probabilistic Modeling Erick Cantú-Paz
2006	—	`ch.`	Introduction. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	—	`book`	Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	J	`jnl`	Special issue on parallel bioinspired algorithms. J. Parallel Distributed Comput. Francisco Fernández de Vega, Erick Cantú-Paz
2005	J	`jnl`	An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Trans. Syst. Man Cybern. Part B Erick Cantú-Paz, Chandrika Kamath
2005	J	`jnl`	Introduction. Genet. Program. Evolvable Mach. James A. Foster, Erick Cantú-Paz
2005	—	`conf`	Message from the Chairs. ICPP Workshops Francisco Fernández de Vega, Erick Cantú-Paz
2004	—	`conf`	Adaptive Sampling for Noisy Problems. GECCO (1) Erick Cantú-Paz
2004	—	`conf`	Feature Subset Selection, Class Separability, and Genetic Algorithms. GECCO (1) Erick Cantú-Paz
2004	A*	`conf`	Feature selection in scientific applications. KDD Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath
2004	—	`conf`	Retrieval of similar objects in simulation data using machine learning techniques. Image Processing: Algorithms and Systems Erick Cantú-Paz, Sen-Ching S. Cheung, Chandrika Kamath
2004	A	`conf`	Saving Resources with Plagues in Genetic Algorithms. PPSN Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano
2003	A	`conf`	Are Multiple Runs of Genetic Algorithms Better than One? GECCO Erick Cantú-Paz, David E. Goldberg
2003	J	`jnl`	Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks Erick Cantú-Paz, Chandrika Kamath
2003	A	`ed.`	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I GECCO 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
2003	A	`ed.`	Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II GECCO 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
2003	J	`jnl`	Inducing oblique decision trees with evolutionary algorithms. IEEE Trans. Evol. Comput. Erick Cantú-Paz, Chandrika Kamath
2003	A	`conf`	Pruning Neural Networks with Distribution Estimation Algorithms. GECCO Erick Cantú-Paz
2002	A	`conf`	Approximate Splitting for Ensembles of Trees using Histograms. SDM Chandrika Kamath, Erick Cantú-Paz, David Littau
2002	J	`jnl`	Classifying bent-double galaxies. Comput. Sci. Eng. Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, Nu Ai Tang
2002	A	`conf`	Evolving Neural Networks For The Classification Of Galaxies. GECCO Erick Cantú-Paz, Chandrika Kamath
2002	A	`conf`	Feature Subset Selection By Estimation Of Distribution Algorithms. GECCO Erick Cantú-Paz
2002	A	`ed.`	GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 GECCO 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
2002	—	`ed.`	Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002 GECCO Late Breaking Papers Erick Cantú-Paz
2002	A	`conf`	On Random Numbers And The Performance Of Genetic Algorithms. GECCO Erick Cantú-Paz
2002	J	`jnl`	Order statistics and selection methods of evolutionary algorithms. Inf. Process. Lett. Erick Cantú-Paz
2002	—	`conf`	Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz
2001	J	`jnl`	Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms. J. Heuristics Erick Cantú-Paz
2000	A	`conf`	Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	—	`book`	Efficient and accurate parallel genetic algorithms. Erick Cantú-Paz
2000	J	`jnl`	Linkage Problem, Distribution Estimation, and Bayesian Networks. Evol. Comput. Martin Pelikan, David E. Goldberg, Erick Cantú-Paz
2000	J	`jnl`	Markov chain models of parallel genetic algorithms. IEEE Trans. Evol. Comput. Erick Cantú-Paz
2000	A	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 GECCO L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer
2000	A	`conf`	Selection Intensity in Genetic Algorithm with Generation Gaps. GECCO Erick Cantú-Paz
2000	A	`conf`	Using Evolutionary Algorithms to Induce Oblique Decision Trees. GECCO Erick Cantú-Paz, Chandrika Kamath
1999	—	`—`	Designing Efficient and Accurate Parallel Genetic Algorithms Erick Cantú-Paz
1999	A	`conf`	Migration Policies and Takeover Times in Genetic Algorithms. GECCO Erick Cantú-Paz
1999	J	`jnl`	On the Scalability of Parallel Genetic Algorithms. Evol. Comput. Erick Cantú-Paz, David E. Goldberg
1999	J	`jnl`	The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evol. Comput. Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller
1999	A	`conf`	Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms. GECCO Erick Cantú-Paz
1997	—	`conf`	Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA Erick Cantú-Paz, David E. Goldberg
1997	C	`conf`	The gambler's ruin problem, genetic algorithms, and the sizing of populations. ICEC Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller