- Newball-Ramírez D, Riascos Villegas ÁJ, Hoyos A, Dulce Rubio M (2024) A location discrete choice model of crime: Police elasticity and optimal deployment. PLoS ONE 19(3): e0294020. https://doi.org/10.1371/journal.pone.0294020
- Á. J. R. Villegas, J. S. M. Pabón, M. Dulce Rubio, S. Quintero, J. G. Vargas and H. García, “Spatio Temporal Sparsity in Homicide Prediction Models,” in IEEE Access, vol. 10, pp. 14359-14367, 2022, doi: 10.1109/ACCESS.2022.3143858.
- Julián Chitiva Bocanegra, Douglas Newball Ramírez, Paula Rodríguez Díaz, Hamadys Benavides Gutiérrez, Mateo Dulce, and Álvaro Riascos. 2021. Visual Representations to Evaluate the Heterogeneous Effects of Urban Parks Restoration on Crime. In ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS ’21). Association for Computing Machinery, New York, NY, USA, 48–54. DOI:https://doi.org/10.1145/3460112.3471969
- Alvaro Riascos, Juan Moreno, Mateo Dulce, Hernan Garcia and Sebastian Quintero. 2021. Dynamic Network Analysis of Spatio-Temporal Crime Incidents. Forthcoming IEEE: BESC 2021 Conference Proceedings.
- Understanding the effect of compliance with quarantines and lockdowns on domestic violence occurrence in Bogota. Rodriguez, P., Gomez, O., Garcia, J., Riascos, A., Moreno, J., Castro, J., Panqueva, J. UNDP LAC COVID-19 Policy Documents Series 31.
- A supervised clustering MCMC methodology for large categorical feature spaces. Simón Ramírez, Adolfo J Quiroz, Alvaro J Riascos. First Published June 1, 2021. Statistical Methods in Medical Research.
- Efficient nearest neighbors methods for support vector machines in high dimensional feature spaces. Diana C. Montañés, Adolfo J. Quiroz, Mateo Dulce Rubio & Alvaro J. Riascos Villegas. March 2021. Optimization Letters 15(Jan).
- S. Q. Soto, J. S. M. Pabón, M. D. Rubio, A. J. Riascos and L. G. Nonato, “Graph Restrictions for Signal Processing of Homicides Data,” 2021 International Conference on Applied Artificial Intelligence (ICAPAI), 2021, pp. 1-6, doi: 10.1109/ICAPAI49758.2021.9462063.
- Homicide prediction using sequential features from graph signal processing. J. Moreno, S. Quintero, A. Riascos, L. Nonato and C. Sanchez. 2021. 21st Computing Conference, 2021.
- Self-exciting point processes with image features as covariates for robbery modeling.
Dulce, M., Rodriguez, P., Moreno, J., Riascos, A., Camargo, J.
Proceedings of the Computing Conference, 2021.
- Zero-Inflated Embeddings to Analyze Homicide Occurences Patterns.
Benavides, H., Gomez O., Dulce M., Rodriguez, P., Riascos, A., and Moreno, J.
2nd International Conference on Computing and Data Science, 2021.
- Urcuqui, C., Moreno, J., Montenegro, C., Riascos, A., & Dulce, M. (2020, November). Accuracy and Fairness in a Conditional Generative Adversarial Model of Crime Prediction. In 2020 7th International Conference on Behavioural and Social Computing (BESC) (pp. 1-6). IEEE.
- A Manifold Learning Data Enrichment Methodology for Homicide Prediction.
Moreno, J., Dulce, M., Riascos, A., Castano, J., and Rodriguez, P.
7th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), 2020
- Risk Adjustment Revisited using Machine Learning Techniques. Álvaro J. Riascos, Mauricio Romero, Natalia Serna. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. v. 6, n. 2 (2018).
- Predicting Length-Of-Stay and its Impact on Annual Health Costs in the Colombian Health Care System (with Natalia Serna). Proceedings of Machine Learning Research. Volume 69: Medical Informatics and Healthcare, 14 August 2017.
- Machine Learning Based Program to Prevent Hospitalizations and Reduce Costs in the Colombian Statutory Health Care System. Alvaro J. Riascos (University of los Andes and Quantil, Bogotá, Colombia) and Natalia Serna (University of Wisconsin-Madison, Madison, USA). Source Title: International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 8(2).