Paul Rodríguez

25 papers A* 1Misc 2Journal 9Unranked 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Autonomic computing in a beef-production process for Precision Livestock Farming. J. Ind. Inf. Integr. Rodrigo García, José Aguilar, Mauricio Toro, Nelson Pérez, Ángel Pinto, Paul Rodríguez
2023	J	`jnl`	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. 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
2023	—	`conf`	Developing a Best Practices Training Program in Cyberinfrastructure-Enabled Machine Learning Research. PEARC Mary P. Thomas, Andreas W. Götz, Martin C. Kandes, Mai H. Nguyen, Paul Rodríguez, Peter W. Rose, Robert S. Sinkovits
2023	—	`conf`	Voyager - An Innovative Computational Resource for Artificial Intelligence & Machine Learning Applications in Science and Engineering. PEARC 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
2021	J	`jnl`	Leonardo, Morelli, and the Computational Mirror. Digit. Humanit. Q. Alison Langmead, Christopher J. Nygren, Paul Rodríguez, Alan B. Craig
2020	J	`jnl`	A systematic literature review on the use of machine learning in precision livestock farming. Comput. Electron. Agric. Rodrigo García, José Aguilar, Mauricio Toro, Ángel Pinto, Paul Rodríguez
2020	—	`conf`	Extracting and Analyzing Deep Learning Features for Discriminating Historical Art: Deep Learning Features and Art. PEARC Paul Rodríguez, Alan B. Craig, Alison Langmead, Christopher J. Nygren
2019	Misc	`conf`	ACCEPTOR: a model and a protocol for real-time multi-mode applications on reconfigurable heterogeneous platforms. RTNS Joël Goossens, Xavier Poczekajlo, Antonio Paolillo, Paul Rodríguez
2018	—	`conf`	APractical Sub-Optimal Solution for the Dual Priority Scheduling Problem. SIES Tristan Fautrel, Laurent George, Joël Goossens, Damien Masson, Paul Rodríguez
2017	—	`conf`	Extracting Meaningful Data from Decomposing Bodies. PEARC Alison Langmead, Paul Rodríguez, Sandeep Puthanveetil Satheesan, Alan B. Craig
2017	—	`conf`	Extracting, Assimilating, and Sharing the Results of Image Analysis on the FSA/OWI Photography Collection. PEARC Paul Rodríguez, Sandeep Puthanveetil Satheesan, Jeffrey Will, Elizabeth Wuerffel, Alan B. Craig
2016	—	`conf`	Image Analysis and Infrastructure Support for Data Mining the Farm Security Administration: Office of War Information Photography Collection. XSEDE Marcus Slavenas, Paul Rodríguez, Alan B. Craig, Elizabeth Wuerffel, Jeffrey Will
2016	Misc	`conf`	Quantifying Energy Consumption for Practical Fork-Join Parallelism on an Embedded Real-Time Operating System. RTNS Antonio Paolillo, Paul Rodríguez, Nikita Veshchikov, Joël Goossens, Ben Rodriguez
2016	—	`conf`	Topic Modeling and Visualization for Big Data in Social Sciences. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld Nitin Sukhija, Mahidhar Tatineni, Nicole M. Brown, Mark Van Moer, Paul Rodríguez, Spencer Callicott
2013	—	`conf`	The Space of Feasible Execution Times for Asynchronous Periodic Task Systems Using Definitive Idle Times. SBESC Thomas Chapeaux, Paul Rodríguez, Laurent George, Joël Goossens
2011	A*	`conf`	Data intensive analysis on the gordon high performance data and compute system. KDD Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodríguez, Nicole Wolter, Natasha Balac
2011	—	`conf`	Nonconvex total variation speckled image restoration via nonnegative quadratic programming algorithm. EUSIPCO Paul Rodríguez
2010	—	`conf`	A non-negative quadratic programming approach to minimize the generalized vector-valued total variation functional. EUSIPCO Paul Rodríguez
2005	J	`jnl`	The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis. Biol. Cybern. William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodríguez, David W. Sullivan
2004	J	`jnl`	Configural representations in transverse patterning with a hippocampal model. Neural Networks Paul Rodríguez, William B. Levy
2003	J	`jnl`	Comparing Simple Recurrent Networks and n-Grams in a Large Corpus. Appl. Intell. Paul Rodríguez
2002	—	`conf`	Radix-2 multi-dimensional transposition-free FFT algorithm for Modern Single Instruction Multiple Data (SIMD) architectures. EUSIPCO Paul Rodríguez
2001	J	`jnl`	Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting. Neural Comput. Paul Rodríguez
1999	J	`jnl`	A Recurrent Neural Network that Learns to Count. Connect. Sci. Paul Rodríguez
1997	—	`conf`	Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting. NIPS Paul Rodríguez, Janet Wiles