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ORCIDJorge Ángel González Ordiano
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2020 – today
- 2024
[j5]Lázaro Bustio-Martínez
, Vitali Herrera-Semenets, Juan-Luis García-Mendoza, Miguel Ángel Álvarez-Carmona, Jorge Ángel González Ordiano, Luis N. Zúñiga-Morales, José Emilio Quíroz-Ibarra, Pedro Antonio Santander-Molina, Jan van den Berg:
Uncovering phishing attacks using principles of persuasion analysis. J. Netw. Comput. Appl. 230: 103964 (2024)- [j4]Luis N. Zúñiga-Morales, Jorge Ángel González Ordiano, José Emilio Quíroz-Ibarra, César Villanueva Rivas:
Machine learning framework for country image analysis. J. Comput. Soc. Sci. 7(1): 523-547 (2024) - [c10]Vitali Herrera-Semenets, Lázaro Bustio-Martínez, Jorge Ángel González Ordiano, Jan van den Berg:
Tax Underreporting Detection Using an Unsupervised Learning Approach. MICAI (2) 2024: 16-28 - 2023
- [c9]Alejandro Monsiváis-Huertero, Enrique Zempoaltécatl-Ramirez, Héctor Ernesto Huerta-Batiz, Daniel Enrique Constantino-Recillas, Roberto Cotero-Manzo, Juan Carlos Hernández-Sánchez, José Emilio Quíroz-Ibarra, Jorge Ángel González Ordiano, Abisay García-Sánchez, Gerardo Rodríguez-Ortiz, Rodrigo Florencio da Silva, Víctor Manuel Saúce-Rangel, José Carlos Jiménez-Escalona:
Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico. IGARSS 2023: 2243-2245 - [c8]Lázaro Bustio-Martínez, Vitali Herrera-Semenets, Juan-Luis García-Mendoza, Jorge Ángel González Ordiano, Luis N. Zúñiga-Morales, Rubén Sánchez-Rivero, José Emilio Quíroz-Ibarra, Pedro Antonio Santander-Molina, Jan van den Berg, Davide Buscaldi:
Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach. IWAIPR 2023: 155-166 - 2022
- [c7]Luis N. Zúñiga-Morales, Jorge Ángel González Ordiano, José Emilio Quíroz-Ibarra, Steven J. Simske:
Impact Evaluation of Multimodal Information on Sentiment Analysis. MICAI (2) 2022: 18-29 - 2021
- [c6]Enrique Zempoaltécatl-Ramirez, Alejandro Monsiváis-Huertero, José Emilio Quíroz-Ibarra, Jorge Ángel González Ordiano:
Validation of a Drought Index Based on Smos Soil Moisture Product Over An Agricultural Area in Central Mexico. IGARSS 2021: 1335-1338 - [i6]Vinayak Sharma, Jorge Ángel González Ordiano, Ralf Mikut, Umit Cali:
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches. CoRR abs/2101.08236 (2021) - 2020
- [c5]Jorge Ángel González Ordiano, Lisa Finn, Anthony Winterlich, Gary Moloney, Steven Simske:
On the Analysis of Illicit Supply Networks Using Variable State Resolution-Markov Chains. IPMU (1) 2020: 513-527 - [c4]Jorge Ángel González Ordiano, Lisa Finn, Anthony Winterlich, Gary Moloney, Steven Simske:
A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering. MCPR 2020: 231-241
2010 – 2019
- 2019
- [b1]Jorge Ángel González Ordiano:
New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems. Karlsruhe University, Germany, 2019 - [i5]Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer:
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter. CoRR abs/1903.07390 (2019) - 2018
- [j3]Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer:
Concept and benchmark results for Big Data energy forecasting based on Apache Spark. J. Big Data 5: 11 (2018) - [j2]Jorge Ángel González Ordiano, Simon Waczowicz, Veit Hagenmeyer, Ralf Mikut:
Energy forecasting tools and services. WIREs Data Mining Knowl. Discov. 8(2) (2018) - [c3]Simon Waczowicz, Nicole Ludwig, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer:
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values. e-Energy 2018: 429-430 - [c2]Vinayak Sharma, Umit Cali, Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano:
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks. e-Energy 2018: 604-609 - [i4]R. R. Appino, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser:
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances. CoRR abs/1805.02525 (2018) - [i3]R. R. Appino, M. Muñoz-Ortiz, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser:
Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations. CoRR abs/1805.09624 (2018) - 2017
- [j1]Jorge Ángel González Ordiano, Simon Waczowicz, Markus Reischl, Ralf Mikut, Veit Hagenmeyer:
Photovoltaic power forecasting using simple data-driven models without weather data. Comput. Sci. Res. Dev. 32(1-2): 237-246 (2017) - [c1]Wilfried Jakob, Jorge Ángel González Ordiano, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer:
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0. GECCO (Companion) 2017: 1271-1278 - [i2]Jorge Ángel González Ordiano, Wolfgang Doneit, Simon Waczowicz, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer:
Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems. CoRR abs/1701.06463 (2017) - [i1]Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl:
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide. CoRR abs/1704.03298 (2017)
Coauthor Index
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