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Alvaro Riascos
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2020 – today
- 2022
- [j3]Alvaro J. Riascos Villegas, Juan S. Moreno Pabón, Mateo Dulce Rubio, Sebastián Quintero, Johan García Vargas, Hernán García:
Spatio Temporal Sparsity in Homicide Prediction Models. IEEE Access 10: 14359-14367 (2022) - 2021
- [j2]Diana C. Montañés, Adolfo J. Quiroz, Mateo Dulce Rubio, Alvaro Riascos:
Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces. Optim. Lett. 15(2): 391-404 (2021) - [c8]Juan Moreno, Hernán García, Sebastián Quintero, Johan García, Alvaro Riascos, Mateo Dulce Rubio:
Dynamic Network Analysis of Spatio- Temporal Crime Incidents in Bogotá - Colombia. BESC 2021: 1-5 - [c7]Mateo Dulce, Óscar Gómez, Juan Sebastián Moreno, Christian Urcuqui, Alvaro J. Riascos Villegas:
Interpreting a Conditional Generative Adversarial Network Model for Crime Prediction. CIARP 2021: 281-290 - [c6]Julián Chitiva Bocanegra, Douglas Newball Ramírez, Paula Rodríguez Díaz, Hamadys Benavides Gutiérrez, Mateo Dulce Rubio, Alvaro Riascos:
Visual Representations to Evaluate the Heterogeneous Effects of Urban Parks Restoration on Crime. COMPASS 2021: 48-54 - [c5]Juan Moreno, Sebastián Quintero, Alvaro Riascos, Luis Gustavo Nonato, Cristian Sánchez:
Homicide Prediction Using Sequential Features from Graph Signal Processing. SAI (3) 2021: 804-817 - [c4]Mateo Dulce Rubio, Paula Rodríguez Díaz, Juan S. Moreno Pabón, Alvaro J. Riascos, Jorge E. Camargo:
Self-exciting Point Processes with Image Features as Covariates for Robbery Modeling. SAI (1) 2021: 886-898 - 2020
- [c3]Juan S. Moreno Pabón, Mateo Dulce Rubio, Yor Castaño, Alvaro J. Riascos, Paula Rodríguez Díaz:
A Manifold Learning Data Enrichment Methodology for Homicide Prediction. BESC 2020: 1-4 - [c2]Christian Urcuqui, Juan Moreno, Carlos Montenegro, Alvaro Riascos, Mateo Dulce Rubio:
Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction. BESC 2020: 1-6
2010 – 2019
- 2019
- [i2]Jorge Barreras, Alvaro Riascos:
Screening of Informed and Uninformed Experts. CoRR abs/1912.06244 (2019) - 2018
- [j1]Alvaro Riascos, Natalia Serna:
Machine Learning Based Program to Prevent Hospitalizations and Reduce Costs in the Colombian Statutory Health Care System. Int. J. Knowl. Discov. Bioinform. 8(2): 44-64 (2018) - [i1]Adolfo J. Quiroz, Simón Ramírez-Amaya, Alvaro Riascos:
Regression by clustering using Metropolis-Hastings. CoRR abs/1811.12295 (2018) - 2017
- [c1]Alvaro Riascos, Natalia Serna:
Predicting Annual Length-Of-Stay and its Impact on Health. MIH@KDD 2017: 27-34
Coauthor Index
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