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Germán Jairo Hernández

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Journal Articles

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2024
[j8]
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Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez:
On cosine fuzzy sets and uncertainty quantification. Eng. Appl. Artif. Intell. 138: 109241 (2024)
[j7]
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Diego León, Javier Sandoval, Andrea Cruz, Germán Jairo Hernández, Oscar Sierra:
Deep Heterogeneous AutoML Trend Prediction Model for Algorithmic Trading in the USD/COP Colombian FX Market Through Limit Order Book (LOB). SN Comput. Sci. 5(5): 631 (2024)
2023
[j6]
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Juan Carlos Figueroa-García, Roman Neruda, Germán Jairo Hernández-Pérez:
A genetic algorithm for multivariate missing data imputation. Inf. Sci. 619: 947-967 (2023)
[j5]
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Juan Carlos Figueroa-García, Jennifer Soraya Ramos-Cuesta, Germán Jairo Hernández-Pérez:
On the Variance of Interval Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 31(7): 2320-2330 (2023)
2020
[j4]
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Juan Carlos Figueroa-García, Miguel Alberto Melgarejo-Rey, Germán Jairo Hernández-Pérez:
Representation of the Minkowski metric as a fuzzy set. Optim. Lett. 14(2): 395-408 (2020)
2017
[j3]
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  - journals/polibits/Nino-PenaGH17
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Jaime Humberto Niño-Peña, Cesar Garcia-Diaz, Germán Jairo Hernández:
A Complex Network Approach to Identify Potential Financial Scandals: The Colombian Market Case. POLIBITS 56: 39-44 (2017)
2009
[j2]
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Abraham Gómez Morales, Germán Jairo Hernández:
Utilización de las máquinas con vectores de soporte para regresión: m2 de construcción en Bogotá. Rev. Avances en Sistemas Informática 6(2): 21-28 (2009)
2000
[j1]
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Dipankar Dasgupta, Germán Jairo Hernández, Fernando Niño:
An evolutionary algorithm for fractal coding of binary images. IEEE Trans. Evol. Comput. 4(2): 172-181 (2000)

Conference and Workshop Papers

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2022
[c35]
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John Garcia, Wilson Arias-Rojas, Germán Jairo Hernández:
On the Feasibility of Real-Time Prediction of Driver's Traffic Accident Risk with Auto ML using Demographics and Brain Concentration Levels Information. ICVES 2022: 1-5
[c34]
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  - conf/wea2/RodriguezLLH22
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Miguel Rodríguez, Diego León, Edwin Lopez, Germán Jairo Hernández:
Globally Explainable AutoML Evolved Models of Corporate Credit Risk. WEA 2022: 19-30
[c33]
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Sebastián Martelo, Diego León, Germán Jairo Hernández:
Multivariate Financial Time Series Forecasting with Deep Learning. WEA 2022: 160-169
2020
[c32]
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  - conf/wea2/PatronLLH20
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Gabriel Patron, Diego León, Edwin Lopez, Germán Jairo Hernández:
An Interpretable Automated Machine Learning Credit Risk Model. WEA 2020: 16-23
2019
[c31]
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  - conf/iccS/ArevaloLH19
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Andrés Arévalo, Diego León, Germán Jairo Hernández-Pérez:
Portfolio Selection Based on Hierarchical Clustering and Inverse-Variance Weighting. ICCS (3) 2019: 315-325
2018
[c30]
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Andrés Arévalo, Jaime Niño, Diego León, Germán Jairo Hernández, Javier Sandoval:
Deep Learning and Wavelets for High-Frequency Price Forecasting. ICCS (2) 2018: 385-399
[c29]
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Carlos Cabrera, Germán Jairo Hernández, Luis Fernando Niño, Dipankar Dasgupta:
Thermal Vein Signatures, DNA and EEG Brainprint in Biometric User Authentication. WEA (1) 2018: 30-41
[c28]
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Jaime Niño, Andrés Arévalo, Diego León, Germán Jairo Hernández-Pérez, Javier Sandoval:
Price Prediction with CNN and Limit Order Book Data. WEA (1) 2018: 124-135
2017
[c27]
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Diego León, Arbey Aragón, Javier Sandoval, Germán Jairo Hernández, Andrés Arévalo, Jaime Niño:
Clustering algorithms for Risk-Adjusted Portfolio Construction. ICCS 2017: 1334-1343
[c26]
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Juan Carlos Figueroa-García, Germán Jairo Hernández-Pérez:
Weak and Strong Solutions for Fuzzy Linear Programming Problems. NAFIPS 2017: 382-391
[c25]
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Rafael Niquefa, Juan Mendivelso, Germán Jairo Hernández, Yoan J. Pinzón:
Segment and Fenwick Trees for Approximate Order Preserving Matching. WEA 2017: 131-143
[c24]
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Andrés Arévalo, Jaime Niño, Germán Jairo Hernández-Pérez, Javier Sandoval, Diego León, Arbey Aragón:
Algorithmic Trading Using Deep Neural Networks on High Frequency Data. WEA 2017: 144-155
2016
[c23]
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Javier Sandoval, Jaime Niño, Germán Jairo Hernández, Andrea Cruz:
Detecting Informative Patterns in Financial Market Trends based on Visual Analysis. ICCS 2016: 752-761
[c22]
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Andrés Arévalo, Jaime Niño, Germán Jairo Hernández, Javier Sandoval:
High-Frequency Trading Strategy Based on Deep Neural Networks. ICIC (3) 2016: 424-436
[c21]
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Juan Carlos Figueroa García, Cesar Amilcar Lopez Bello, Germán Jairo Hernández-Pérez:
Feasibility Analysis for Fuzzy/Crisp Linear Programming Problems. ICIC (3) 2016: 824-833
[c20]
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Jaime Humberto Niño-Peña, Germán Jairo Hernández-Pérez:
Price Direction Prediction on High Frequency Data Using Deep Belief Networks. WEA 2016: 74-83
[c19]
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Juan Carlos Figueroa-García, Germán Jairo Hernández-Pérez, Yurilev Chalco-Cano:
On Computing the Footprint of Uncertainty of an Interval Type-2 Fuzzy Set as Uncertainty Measure. WEA 2016: 247-257
[c18]
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Germán Jairo Hernández-Pérez, Juan Carlos Figueroa-García:
A Note About Sensitivity Analysis for the Soft Constraints Model. WEA 2016: 258-267
2015
[c17]
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  - conf/iccS/SandovalH15
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Javier Sandoval, Germán Jairo Hernández:
Computational Visual Analysis of the Order Book Dynamics for Creating High-frequency Foreign Exchange Trading Strategies. ICCS 2015: 1593-1602
[c16]
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Juan Carlos Figueroa García, Germán Jairo Hernández-Pérez:
A centroid-based approach for solving linear programming problems with Interval Type-2 Fuzzy technological coefficients. NAFIPS/WConSC 2015: 1-6
2014
[c15]
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Javier Sandoval, Germán Jairo Hernández:
Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks. MLDM 2014: 408-421
2013
[c14]
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Juan Carlos Figueroa García, Germán Jairo Hernández:
Behavior of the Soft Constraints Method Applied to Interval Type-2 Fuzzy Linear Programming Problems. ICIC (2) 2013: 101-109
[c13]
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Juan Carlos Figueroa García, Germán Jairo Hernández:
A note on "Solving Fuzzy Linear Programming Problems with Interval Type-2 RHS". IFSA/NAFIPS 2013: 591-594
[c12]
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Juan Carlos Figueroa García, Germán Jairo Hernández:
Solving linear programming problems with Interval Type-2 fuzzy constraints using interval optimization. IFSA/NAFIPS 2013: 623-628
2012
[c11]
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  - conf/hais/GarciaH12
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Juan Carlos Figueroa García, Germán Jairo Hernández:
Computing Optimal Solutions of a Linear Programming Problem with Interval Type-2 Fuzzy Constraints. HAIS (1) 2012: 567-576
[c10]
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Juan Carlos Figueroa García, Germán Jairo Hernández:
A Transportation Model with Interval Type-2 Fuzzy Demands and Supplies. ICIC (1) 2012: 610-617
2009
[c9]
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  - conf/cimcdm/DasguptaHRGKS09
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Dipankar Dasgupta, Germán Jairo Hernández, Andrés Romero, Deon Garrett, Aishwarya Kaushal, James Simien:
On the use of informed initialization and extreme solutions sub-population in multi-objective evolutionary algorithms. MCDM 2009: 58-65
2008
[c8]
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Dipankar Dasgupta, Germán Jairo Hernández, Deon Garrett, Pavan Kalyan Vejandla, Aishwarya Kaushal, Ramjee Yerneni, James Simien:
A comparison of multiobjective evolutionary algorithms with informed initialization and kuhn-munkres algorithm for the sailor assignment problem. GECCO (Companion) 2008: 2129-2134
2006
[c7]
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Julian Garcia, Germán Jairo Hernández, Juan Carlos Galeano:
Cooperation, Solution Concepts and Long-term Dynamics in the Iterated Prisoner's Dilemma. IEEE Congress on Evolutionary Computation 2006: 1618-1623
[c6]
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David Delgado, David Vidal, Germán Jairo Hernández-Pérez:
Evolutionary design of pseudorandom sequence generators based on cellular automata and its applicability in current cryptosystems. GECCO 2006: 1859-1860
2005
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Germán Jairo Hernández, Leonardo Bobadilla, Oscar Sanchez:
A genetic word clustering algorithm. Congress on Evolutionary Computation 2005: 1075-1080
[c4]
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Germán Jairo Hernández, Kenneth Wilder, Fernando Niño, Julian Garcia:
Towards a self-stopping evolutionary algorithm using coupling from the past. GECCO 2005: 615-620
2004
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Germán Jairo Hernández, Fernando Niño, Julian Garcia, Dipankar Dasgupta:
On geometric and statistical properties of the attractors of a generic evolutionary algorithm. IEEE Congress on Evolutionary Computation 2004: 1240-1247
2000
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  - conf/cifer/NinoHP00
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Fernando Niño, Germán Jairo Hernández, Andrés Parra:
Financial time series modeling with evolutionary trained random iterated neural networks. CIFEr 2000: 178-181
1999
[c1]
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Germán Jairo Hernández, Jerome A. Goldstein, Fernando Niño:
Stochastic Differential Model for Evolutionary Algorithms over Continuous Spaces. GECCO 1999: 863-870

Parts in Books or Collections

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2014
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Juan Carlos Figueroa García, Germán Jairo Hernández:
Linear Programming with Interval Type-2 Fuzzy Constraints. Constraint Programming and Decision Making 2014: 19-34
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Juan Carlos Figueroa García, Germán Jairo Hernández:
A Multiple Means Transportation Model with Type-2 Fuzzy Uncertainty. Supply Chain Management Under Fuzziness 2014: 449-468

Editorship

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2022
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Juan Carlos Figueroa-García, Carlos Franco, Yesid Díaz Gutiérrez, Germán Jairo Hernández-Pérez:
Applied Computer Sciences in Engineering - 9th Workshop on Engineering Applications, WEA 2022, Bogotá, Colombia, November 30 - December 2, 2022, Proceedings. Communications in Computer and Information Science 1685, Springer 2022, ISBN 978-3-031-20610-8 [contents]
2020
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Juan Carlos Figueroa-García, Fabian Steven Garay Rairan, Germán Jairo Hernández-Pérez, Yesid Díaz Gutiérrez:
Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Bogota, Colombia, October 7-9, 2020, Proceedings. Communications in Computer and Information Science 1274, Springer 2020, ISBN 978-3-030-61833-9 [contents]

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