Hector Gonzalez

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Linear Regression

Top Venues

Proc. VLDB Endow.

Publications

Orlando Grabiel Toledano-López, Julio Madera, Hector Gonzalez, Alfredo Simón-Cuevas
A hybrid method based on estimation of distribution algorithms to train convolutional neural networks for text categorization. Pattern Recognit. Lett. 160 (2022)
Reynaldo Alvarez Luna, José Jacobo Zubcoff, Irene Garrigós, Hector Gonzalez
FAIRification of Citizen Science Data. ICWE (2022)
Orlando Grabiel Toledano-López, Julio Madera, Hector Gonzalez, Alfredo Simón-Cuevas
Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification. IWAIPR (2021)
Yoan Antonio López Rodríguez, Hector Gonzalez, Yusniel Hidalgo-Delgado, Erik Mannens
An Ontology-Based Source Selection for Federated Query Processing: a Case Study. KGSWC (2021)
Julio Camejo Corona, Hector Gonzalez, Carlos Morell
Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation. IWAIPR (2021)
Reynaldo Rosado, Aldis Joan Abreu, José C. Arencibia, Hector Gonzalez, Yanio Hernandez
Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network. IWAIPR (2021)
Biswapesh Chattopadhyay, Priyam Dutta, Weiran Liu, Ott Tinn, Andrew McCormick, Aniket Mokashi, Paul Harvey, Hector Gonzalez, David Lomax, Sagar Mittal, Roee Ebenstein, Nikita Mikhaylin, Hung-Ching Lee, Xiaoyan Zhao, Tony Xu, Luis Perez, Farhad Shahmohammadi, Tran Bui, Neil Mckay, Selcuk Aya, Vera Lychagina, Brett Elliott
Procella: Unifying serving and analytical data at YouTube. Proc. VLDB Endow. 12 (12) (2019)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Generalized Multitarget Linear Regression with Output Dependence Estimation. CIARP (2018)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression. IWAIPR (2018)
Hector Gonzalez, Carlos Morell, Francesc J. Ferri
Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning. CIARP (2016)
Anish Das Sarma, Hongrae Lee, Hector Gonzalez, Jayant Madhavan, Alon Y. Halevy
Consistent thinning of large geographical data for map visualization. ACM Trans. Database Syst. 38 (4) (2013)
Jayant Madhavan, Sreeram Balakrishnan, Kathryn Brisbin, Hector Gonzalez, Nitin Gupta, Alon Y. Halevy, Karen Jacqmin-Adams, Heidi Lam, Anno Langen, Hongrae Lee, Rod McChesney, Rebecca Shapley, Warren Shen
Big Data Storytelling Through Interactive Maps. IEEE Data Eng. Bull. 35 (2) (2012)
Anish Das Sarma, Hongrae Lee, Hector Gonzalez, Jayant Madhavan, Alon Y. Halevy
Efficient spatial sampling of large geographical tables. SIGMOD Conference (2012)
Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith
Multidimensional Analysis of Atypical Events in Cyber-Physical Data. ICDE (2012)
Petros Venetis, Hector Gonzalez, Christian S. Jensen, Alon Y. Halevy
Hyper-local, directions-based ranking of places. Proc. VLDB Endow. 4 (5) (2011)
Hector Gonzalez, Alon Y. Halevy, Christian S. Jensen, Anno Langen, Jayant Madhavan, Rebecca Shapley, Warren Shen, Jonathan Goldberg-Kidon
Google fusion tables: web-centered data management and collaboration. SIGMOD Conference (2010)
Hector Gonzalez, Alon Y. Halevy, Christian S. Jensen, Anno Langen, Jayant Madhavan, Rebecca Shapley, Warren Shen
Google fusion tables: data management, integration and collaboration in the cloud. SoCC (2010)
Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, Tianyi Wu
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach. IEEE Trans. Knowl. Data Eng. 22 (1) (2010)
Hector Gonzalez, Alon Y. Halevy, Anno Langen, Jayant Madhavan, Rod McChesney, Rebecca Shapley, Warren Shen, Jonathan Goldberg-Kidon
Socialising Data with Google Fusion Tables. IEEE Data Eng. Bull. 33 (3) (2010)
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzalez
: trajectory classification using hierarchical region-based and trajectory-based clustering. Proc. VLDB Endow. 1 (1) (2008)
Hector Gonzalez, Jiawei Han, Xuehua Shen
Cost-Conscious Cleaning of Massive RFID Data Sets. ICDE (2007)
Xiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez
Traffic Density-Based Discovery of Hot Routes in Road Networks. SSTD (2007)
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets. SDM (2007)
Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, John Paul Sondag
Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach. VLDB (2007)
Hector Gonzalez, Jiawei Han, Xiaolei Li
Mining compressed commodity workflows from massive RFID data sets. CIKM (2006)
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan
Warehousing and Analyzing Massive RFID Data Sets. ICDE (2006)
Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan
Warehousing and Mining Massive RFID Data Sets. ADMA (2006)
Hector Gonzalez, Jiawei Han, Xiaolei Li
FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows. VLDB (2006)
Gary F. Simons, William Lewis, Scott Farrar, D. Terence Langendoen, Brian Fitzsimons, Hector Gonzalez
The Semantics of Markup: Mapping Legacy Markup Schemas to a Common Semantics. NLPXML@ACL (2004)
Xiaolei Li, Jiawei Han, Hector Gonzalez
High-Dimensional OLAP: A Minimal Cubing Approach. VLDB (2004)