Mateo Dulce Rubio

According to our database, Mateo Dulce Rubio authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Statistical Inference Under Constrained Selection Bias.

Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño, Bryan Wilder

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization.

Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno, Hoda Heidari, Fei Fang

CoRR, 2023

Inference under constrained distribution shifts.

Santiago Cortes-Gomez, Mateo Dulce Rubio, Bryan Wilder

CoRR, 2023

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

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

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