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Alvaro Riascos

Alvaro J. Riascos – Alvaro J. Riascos Villegas

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Journal Articles

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2022
[j3]
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  - journals/access/VillegasPRQVG22
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  - https://dblp.org/rec/journals/access/VillegasPRQVG22
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]
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  - journals/ol/MontanesQRR21
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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)
2018
[j1]
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  - journals/ijkdb/RiascosS18
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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)

Conference and Workshop Papers

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2021
[c8]
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  - conf/besc/MorenoGQGRR21
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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]
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  - conf/ciarp/DulceGMUV21
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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]
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  - conf/dev/BocanegraRDGRR21
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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]
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  - conf/sai/0003QRNS21
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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]
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  - conf/sai/RubioDPRC21
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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]
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  - conf/besc/PabonRCRD20
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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]
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  - conf/besc/UrcuquiMMRR20
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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
2017
[c1]
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Alvaro Riascos, Natalia Serna:
Predicting Annual Length-Of-Stay and its Impact on Health. MIH@KDD 2017: 27-34

Informal and Other Publications

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2019
[i2]
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  - journals/corr/abs-1912-06244
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Jorge Barreras, Alvaro Riascos:
Screening of Informed and Uninformed Experts. CoRR abs/1912.06244 (2019)
2018
[i1]
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  - journals/corr/abs-1811-12295
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Adolfo J. Quiroz, Simón Ramírez-Amaya, Alvaro Riascos:
Regression by clustering using Metropolis-Hastings. CoRR abs/1811.12295 (2018)

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