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Jorge Guevara
Jorge Guevara
IBM Research
Verified email at vision.ime.usp.br
Title
Cited by
Cited by
Year
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
142019
Positive Definite Kernel Functions on Fuzzy Sets
J Guevara, R Hirata, S Canu
Fuzzy Systems (FUZZ), 2014 IEEE International Conference on,Beijing-China, 2014
132014
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
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
122015
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
122013
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
82017
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
72018
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
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
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 2020 (1), 1-5, 2020
22020
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
Fuzzy-System Kernel Machines: A Kernel Method Based on the Connections Between Fuzzy Inference Systems and Kernel Machines
JLG Diaz, JM Mendel, RH Junior
IEEE Transactions on Fuzzy Systems, 2022
12022
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
Support Vector Data Description for Uncertainty Data Sets
J Guevara, S Canu, R Hirata
MLSS, 2013,Tübingen, Germany, 2013
12013
Choose your own weather adventure: deep weather generation for “what-if” climate scenarios
C Watson, J Guevara, D Szwarcman, D Oliveira, L Tizzei, M Garcia, ...
EGU22, 2022
2022
Controlling Weather Field Synthesis Using Variational Autoencoders
DAB Oliveira, JG Diaz, B Zadrozny, C Watson
arXiv preprint arXiv:2108.00048, 2021
2021
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