Jorge Ángel González Ordiano

According to our database, Jorge Ángel González Ordiano authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine learning framework for country image analysis.

Luis N. Zúñiga-Morales, Jorge Ángel González Ordiano, José Emilio Quíroz-Ibarra, César Villanueva Rivas

J. Comput. Soc. Sci., April, 2024

Uncovering phishing attacks using principles of persuasion analysis.

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

J. Netw. Comput. Appl., 2024

Tax Underreporting Detection Using an Unsupervised Learning Approach.

Vitali Herrera-Semenets, Lázaro Bustio-Martínez, Jorge Ángel González Ordiano, Jan van den Berg

Proceedings of the Advances in Soft Computing, 2024

2023

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach.

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

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023

Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Impact Evaluation of Multimodal Information on Sentiment Analysis.

Luis N. Zúñiga-Morales, Jorge Ángel González Ordiano, José Emilio Quíroz-Ibarra, Steven J. Simske

Proceedings of the Advances in Computational Intelligence, 2022

2021

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches.

Vinayak Sharma, Jorge Ángel González Ordiano, Ralf Mikut, Umit Cali

CoRR, 2021

Validation of a Drought Index Based on Smos Soil Moisture Product Over An Agricultural Area in Central Mexico.

Enrique Zempoaltécatl-Ramirez, Alejandro Monsiváis-Huertero, José Emilio Quíroz-Ibarra, Jorge Ángel González Ordiano

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering.

Jorge Ángel González Ordiano, Lisa Finn, Anthony Winterlich, Gary Moloney, Steven Simske

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

On the Analysis of Illicit Supply Networks Using Variable State Resolution-Markov Chains.

Jorge Ángel González Ordiano, Lisa Finn, Anthony Winterlich, Gary Moloney, Steven Simske

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems

Jorge Ángel González Ordiano

PhD thesis, 2019

Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.

Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer

CoRR, 2019

2018

Energy forecasting tools and services.

Jorge Ángel González Ordiano, Simon Waczowicz, Veit Hagenmeyer, Ralf Mikut

WIREs Data Mining Knowl. Discov., 2018

Concept and benchmark results for Big Data energy forecasting based on Apache Spark.

Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer

J. Big Data, 2018

Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations.

R. R. Appino, M. Muñoz-Ortiz, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser

CoRR, 2018

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.

R. R. Appino, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser

CoRR, 2018

Demand Response clustering: Automatically finding optimal cluster hyper-parameter values.

Simon Waczowicz, Nicole Ludwig, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks.

Vinayak Sharma, Umit Cali, Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017

Photovoltaic power forecasting using simple data-driven models without weather data.

Jorge Ángel González Ordiano, Simon Waczowicz, Markus Reischl, Ralf Mikut, Veit Hagenmeyer

Comput. Sci. Res. Dev., 2017

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.

Jorge Ángel González Ordiano, Wolfgang Doneit, Simon Waczowicz, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer

CoRR, 2017

The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide.

Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl

CoRR, 2017

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.

Wilfried Jakob, Jorge Ángel González Ordiano, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Genetic and Evolutionary Computation Conference, 2017