Paul Rodríguez

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 18

Top Topics

Social Sciences

Machine Learning

Priority Scheduling

Top Venues

Comput. Electron. Agric.

Publications

Gustavo Silva, Paul Rodríguez
Optimal Hyperparameter ε for Adaptive Stochastic Optimizers through Gradient Histograms. CoRR (2023)
Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilian Apodaca, Paul Rodríguez, Mahidhar Tatineni, Mary P. Thomas, Santosh Bhatt
Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Mary P. Thomas, Andreas W. Götz, Martin C. Kandes, Mai H. Nguyen, Paul Rodríguez, Peter W. Rose, Robert S. Sinkovits
Developing a Best Practices Training Program in Cyberinfrastructure-Enabled Machine Learning Research. PEARC (2023)
Rommie E. Amaro, Jiunn-Yeu Chen, Javier M. Duarte, Thomas E. Hutton, Christopher Irving, Martin C. Kandes, Amit Majumdar, Dmitry Y. Mishin, Mai H. Nguyen, Paul Rodríguez, Fernando Silva, Robert S. Sinkovits, Shawn M. Strande, Mahidhar Tatineni, Leon Si Tran, Nicole Wolter
Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering. PEARC (2023)
Rodrigo García, José Aguilar, Mauricio Toro, Nelson Pérez, Ángel Pinto, Paul Rodríguez
Autonomic computing in a beef-production process for Precision Livestock Farming. J. Ind. Inf. Integr. 31 (2023)
Duong-Hung Pham, Adrian Basarab, Jean-Pierre Remenieras, Paul Rodríguez, Denis Kouamé
Fast High Resolution Blood Flow Estimation and Clutter Rejection Via an Alternating Optimization Problem. ISBI (2021)
Alison Langmead, Christopher J. Nygren, Paul Rodríguez, Alan B. Craig
Leonardo, Morelli, and the Computational Mirror. Digit. Humanit. Q. 15 (1) (2021)
Rodrigo García, José Aguilar, Mauricio Toro, Ángel Pinto, Paul Rodríguez
A systematic literature review on the use of machine learning in precision livestock farming. Comput. Electron. Agric. 179 (2020)
Paul Rodríguez, Alan B. Craig, Alison Langmead, Christopher J. Nygren
Extracting and Analyzing Deep Learning Features for Discriminating Historical Art: Deep Learning Features and Art. PEARC (2020)
Paul Rodríguez
gradient projection. CAMSAP (2019)
Paul Rodríguez
Improving FISTA's Speed of Convergence via a Novel Inertial Sequence. EUSIPCO (2019)
Joël Goossens, Xavier Poczekajlo, Antonio Paolillo, Paul Rodríguez
ACCEPTOR: a model and a protocol for real-time multi-mode applications on reconfigurable heterogeneous platforms. RTNS (2019)
Tristan Fautrel, Laurent George, Joël Goossens, Damien Masson, Paul Rodríguez
APractical Sub-Optimal Solution for the Dual Priority Scheduling Problem. SIES (2018)
Paul Rodríguez, Sandeep Puthanveetil Satheesan, Jeffrey Will, Elizabeth Wuerffel, Alan B. Craig
Extracting, Assimilating, and Sharing the Results of Image Analysis on the FSA/OWI Photography Collection. PEARC (2017)
Alison Langmead, Paul Rodríguez, Sandeep Puthanveetil Satheesan, Alan B. Craig
Extracting Meaningful Data from Decomposing Bodies. PEARC (2017)
Antonio Paolillo, Paul Rodríguez, Nikita Veshchikov, Joël Goossens, Ben Rodriguez
Quantifying Energy Consumption for Practical Fork-Join Parallelism on an Embedded Real-Time Operating System. RTNS (2016)
Marcus Slavenas, Paul Rodríguez, Alan B. Craig, Elizabeth Wuerffel, Jeffrey Will
Image Analysis and Infrastructure Support for Data Mining the Farm Security Administration: Office of War Information Photography Collection. XSEDE (2016)
Nitin Sukhija, Mahidhar Tatineni, Nicole M. Brown, Mark Van Moer, Paul Rodríguez, Spencer Callicott
Topic Modeling and Visualization for Big Data in Social Sciences. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016)
Thomas Chapeaux, Paul Rodríguez, Laurent George, Joël Goossens
The Space of Feasible Execution Times for Asynchronous Periodic Task Systems Using Definitive Idle Times. SBESC (2013)
Paul Rodríguez
Nonconvex total variation speckled image restoration via nonnegative quadratic programming algorithm. EUSIPCO (2011)
Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodríguez, Nicole Wolter, Natasha Balac
Data intensive analysis on the gordon high performance data and compute system. KDD (2011)
Paul Rodríguez
A non-negative quadratic programming approach to minimize the generalized vector-valued total variation functional. EUSIPCO (2010)
William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodríguez, David W. Sullivan
The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis. Biol. Cybern. 92 (6) (2005)
Paul Rodríguez, William B. Levy
Configural representations in transverse patterning with a hippocampal model. Neural Networks 17 (2) (2004)
Paul Rodríguez
Comparing Simple Recurrent Networks and n-Grams in a Large Corpus. Appl. Intell. 19 (1-2) (2003)
Paul Rodríguez
Radix-2 multi-dimensional transposition-free FFT algorithm for Modern Single Instruction Multiple Data (SIMD) architectures. EUSIPCO (2002)
Paul Rodríguez
Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting. Neural Comput. 13 (9) (2001)
Paul Rodríguez
A Recurrent Neural Network that Learns to Count. Connect. Sci. 11 (1) (1999)
Paul Rodríguez, Janet Wiles
Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting. NIPS (1997)