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Jorge Guevara
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A machine-learning methodology using domain-knowledge constraints for well-data integration and well-production prediction
J Guevara, B Zadrozny, A Buoro, L Lu, J Tolle, JW Limbeck, D Hohl
SPE Reservoir Evaluation & Engineering 22 (04), 1,185-1,200, 2019
182019
Positive Definite Kernel Functions on Fuzzy Sets
J Guevara, R Hirata, S Canu
Fuzzy Systems (FUZZ), 2014 IEEE International Conference on,Beijing-China, 2014
152014
Kernel functions in Takagi-Sugeno-Kang fuzzy system with nonsingleton fuzzy input
J Guevara, R Hirata, S Canu
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, Hyderabad-India …, 2013
142013
Support Measure Data Description for group anomaly detection
J Guevara, S Canu, R Hirata
ODDx3 Workshop on Outlier Definition, Detection, and Description at the 21st …, 2015
132015
A data-driven workflow for predicting horizontal well production using vertical well logs
J Guevara, M Kormaksson, B Zadrozny, L Lu, J Tolle, T Croft, M Wu, ...
arXiv preprint arXiv:1705.06556, 2017
122017
Cross product kernels for fuzzy set similarity
J Guevara, R Hirata, S Canu
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
92017
A Hybrid Data-Driven and Knowledge-Driven Methodology for Estimating the Effect of Completion Parameters on the Cumulative Production of Horizontal Wells
J Guevara, B Zadrozny, A Buoro, L Lu, J Tolle, J Limbeck, M Wu, D Hohl
SPE Annual Technical Conference and Exhibition, 2018
82018
Fuzzy Set Similarity using a Distance-Based Kernel on Fuzzy Sets
J Guevara, R Hirata, S Canu
Handbook of Fuzzy Sets Comparison Theory, Algorithms and Applications 6, 103-120, 2016
52016
Support measure data description
J Guevara, R Canu
Support measure data description. submitted to pattern analysis and machine …, 2014
4*2014
Supervised machine learning with kernel embeddings of fuzzy sets and probability measures
JG Diaz
IME USP, 2016
32016
Supervised machine learning with kernel embeddings of fuzzy sets and probability measures
J Guevara
32016
Modelos de aprendizado supervisionado usando métodos kernel, conjuntos fuzzy e medidas de probabilidade
J Guevara
Instituto de Matemática e Estatística, Universidade de Sao Paulo, Brazil, 2015
32015
Propagation of well-log data imputation uncertainties towards the interpolated 3D-petrophysical map using epistemic kernels and kriging
JLG Diaz, B Zadrozny
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
22021
A modular framework for extreme weather generation
B Zadrozny, CD Watson, D Szwarcman, D Civitarese, D Oliveira, ...
arXiv preprint arXiv:2102.04534, 2021
22021
System, method and computer program product for dispatching of medical emergencies and wait time control
CH Cardonha, J Guevara, BN Goncalves, MA Vasconcelos
US Patent App. 15/279,632, 2018
22018
Support Measure Data Description
J Guevara, S Canu, R Hirata Jr
22014
Controlling Weather Field Synthesis Using Variational Autoencoders
DAB Oliveira, JG Diaz, B Zadrozny, CD Watson, XX Zhu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
12022
Fuzzy-System Kernel Machines: A Kernel Method Based on the Connections Between Fuzzy Inference Systems and Kernel Machines
J Guevara, JM Mendel, R Hirata
IEEE Transactions on Fuzzy Systems 30 (10), 4447-4459, 2022
12022
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
J Guevara, D Borges, C Watson, B Zadrozny
arXiv preprint arXiv:2107.08074, 2021
12021
Connections Between Fuzzy Inference Systems and Kernel Machines
J Guevara, JM Mendel, R Hirata
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020
12020
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