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Angel F. Garcia Contreras

Angel Fernando Garcia Contreras

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affiliation: University of Texas at El Paso, TX, USA

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2020 – today

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2023
[c9]
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  - conf/emnlp/KawanoKCYKY23
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Seiya Kawano, Shota Kanezaki, Angel Fernando Garcia Contreras, Akishige Yuguchi, Marie Katsurai, Koichiro Yoshino:
Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings. EMNLP (Findings) 2023: 7911-7921
2022
[c8]
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Angel F. Garcia Contreras, Martine Ceberio:
Comparison of Higher-Order Approximations to Solve Dynamical Systems Using Interval Constraint Solving. WEA 2022: 3-18
2021
[c7]
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Angel Fernando Garcia Contreras, Martine Ceberio:
Solving Dynamical Systems Using Windows of Sliding Subproblems. WEA 2021: 13-24
2020
[p2]
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Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich:
Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation. Decision Making under Constraints 2020: 93-98
[p1]
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Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich:
Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread. Decision Making under Constraints 2020: 99-104

2010 – 2019

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2019
[c6]
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Omeiza Olumoye, Glen Throneberry, Angel F. Garcia Contreras, Leobardo Valera, Abdessattar Abdelkefi, Martine Ceberio:
Solving Large Dynamical Systems by Constraint Sampling. WEA 2019: 3-15
2017
[c5]
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Leobardo Valera, Angel F. Garcia Contreras, Martine Ceberio:
"On-the-fly" Parameter Identification for Dynamic Systems Control, Using Interval Computations and Reduced-Order Modeling. NAFIPS 2017: 293-299
[c4]
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Leobardo Valera, Angel F. Garcia Contreras, Afshin Gholamy, Martine Ceberio, Horacio Florez:
Towards predictions of large dynamic systems' behavior using reduced-order modeling and interval computations. SMC 2017: 345-350
2016
[c3]
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Angel F. Garcia Contreras, Martine Ceberio:
Comparison of strategies for solving global optimization problems using speculation and interval computations. NAFIPS 2016: 1-6
2013
[c2]
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Xiaojing Wang, Martine Ceberio, Angel F. Garcia Contreras:
Towards fuzzy method for estimating prediction accuracy for discrete inputs, with application to predicting at-risk students. IFSA/NAFIPS 2013: 536-539
2012
[c1]
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Xiaojing Wang, Angel F. Garcia Contreras, Martine Ceberio, Christian Del Hoyo, Luis C. Gutierrez:
A speculative algorithm to extract fuzzy measures from sample data. FUZZ-IEEE 2012: 1-8

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