Alvaro Riascos

According to our database, Alvaro Riascos authored at least 13 papers between 2017 and 2022.

Collaborative distances:

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

2022

Spatio Temporal Sparsity in Homicide Prediction Models.

Alvaro J. Riascos Villegas, Juan S. Moreno Pabón, Mateo Dulce Rubio, Sebastián Quintero, Johan García Vargas, Hernán García

IEEE Access, 2022

2021

Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces.

Diana C. Montañés, Adolfo J. Quiroz, Mateo Dulce Rubio, Alvaro Riascos

Optim. Lett., 2021

Self-exciting Point Processes with Image Features as Covariates for Robbery Modeling.

Mateo Dulce Rubio, Paula Rodríguez Díaz, Juan S. Moreno Pabón, Alvaro J. Riascos, Jorge E. Camargo

Proceedings of the Intelligent Computing, 2021

Homicide Prediction Using Sequential Features from Graph Signal Processing.

Juan Moreno, Sebastián Quintero, Alvaro Riascos, Luis Gustavo Nonato, Cristian Sánchez

Proceedings of the Intelligent Computing, 2021

Visual Representations to Evaluate the Heterogeneous Effects of Urban Parks Restoration on Crime.

Julián Chitiva Bocanegra, Douglas Newball Ramírez, Paula Rodríguez Díaz, Hamadys Benavides Gutiérrez, Mateo Dulce Rubio, Alvaro Riascos

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Interpreting a Conditional Generative Adversarial Network Model for Crime Prediction.

Mateo Dulce, Óscar Gómez, Juan Sebastián Moreno, Christian Urcuqui, Alvaro J. Riascos Villegas

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Dynamic Network Analysis of Spatio- Temporal Crime Incidents in Bogotá - Colombia.

Juan Moreno, Hernán García, Sebastián Quintero, Johan García, Alvaro Riascos, Mateo Dulce Rubio

Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

2020

Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction.

Christian Urcuqui, Juan Moreno, Carlos Montenegro, Alvaro Riascos, Mateo Dulce Rubio

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

A Manifold Learning Data Enrichment Methodology for Homicide Prediction.

Juan S. Moreno Pabón, Mateo Dulce Rubio, Yor Castaño, Alvaro J. Riascos, Paula Rodríguez Díaz

Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

2019

Screening of Informed and Uninformed Experts.

Jorge Barreras, Alvaro Riascos

CoRR, 2019

2018

Machine Learning Based Program to Prevent Hospitalizations and Reduce Costs in the Colombian Statutory Health Care System.

Alvaro Riascos, Natalia Serna

Int. J. Knowl. Discov. Bioinform., 2018

Regression by clustering using Metropolis-Hastings.

Adolfo J. Quiroz, Simón Ramírez-Amaya, Alvaro Riascos

CoRR, 2018

2017

Predicting Annual Length-Of-Stay and its Impact on Health.

Alvaro Riascos, Natalia Serna

Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017