Alejandro Correa Bahnsen

According to our database, Alejandro Correa Bahnsen authored at least 23 papers between 2011 and 2024.

Collaborative distances:

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

2024

Optimizing credit limit adjustments under adversarial goals using reinforcement learning.

Sherly Alfonso-Sánchez, Jesús Solano, Alejandro Correa Bahnsen, Kristina P. Sendova, Cristián Bravo

Eur. J. Oper. Res., 2024

2022

Influencer Detection with Dynamic Graph Neural Networks.

Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernán García, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo

CoRR, 2022

Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings.

Ana María Quintero-Ossa, Jesús Solano, Hernán Jarcía, David Zarruk, Alejandro Correa Bahnsen, Carlos F. Valencia

CoRR, 2022

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions.

Juan Sebastián Salcedo Gallo, Jesus Solano, Javier Hernán García, David Zarruk-Valencia, Alejandro Correa Bahnsen

CoRR, 2022

2021

Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications.

Luisa Roa, Alejandro Correa Bahnsen, Gabriel Suarez, Fernando Cortés-Tejada, María A. Luque, Cristián Bravo

Expert Syst. Appl., 2021

Relational Graph Neural Networks for Fraud Detection in a Super-App environment.

Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa Bahnsen

CoRR, 2021

Enhancing User' s Income Estimation with Super-App Alternative Data.

Gabriel Suarez, Juan Raful, María A. Luque, Carlos F. Valencia, Alejandro Correa Bahnsen

CoRR, 2021

Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.

Luisa Roa, Andrés Rodríguez-Rey, Alejandro Correa Bahnsen, Carlos F. Valencia

CoRR, 2021

Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection.

Jaime D. Acevedo-Viloria, Sebastián Soriano Pérez, Jesus Solano, David Zarruk-Valencia, Fernando G. Paulin, Alejandro Correa Bahnsen

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.

Luisa Roa, Andrés Rodríguez-Rey, Alejandro Correa Bahnsen, Carlos Valencia Arboleda

Proceedings of the Intelligent Systems and Applications, 2021

2018

Hunting Malicious TLS Certificates with Deep Neural Networks.

Ivan Torroledo, Luis David Camacho, Alejandro Correa Bahnsen

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Classifying phishing URLs using recurrent neural networks.

Alejandro Correa Bahnsen, Eduardo Contreras Bohorquez, Sergio Villegas, Javier Vargas, Fabio A. González

Proceedings of the 2017 APWG Symposium on Electronic Crime Research, 2017

2016

Feature engineering strategies for credit card fraud detection.

Alejandro Correa Bahnsen, Djamila Aouada, Aleksandar Stojanovic, Björn E. Ottersten

Expert Syst. Appl., 2016

Knowing your enemies: leveraging data analysis to expose phishing patterns against a major US financial institution.

Javier Vargas, Alejandro Correa Bahnsen, Sergio Villegas, Daniel Ingevaldson

Proceedings of the 2016 APWG Symposium on Electronic Crime Research, 2016

2015

Example-Dependent Cost-Sensitive Classification with Applications in Financial Risk Modeling and Marketing Analytics.

Alejandro Correa Bahnsen

PhD thesis, 2015

Example-dependent cost-sensitive decision trees.

Alejandro Correa Bahnsen, Djamila Aouada, Björn E. Ottersten

Expert Syst. Appl., 2015

A novel cost-sensitive framework for customer churn predictive modeling.

Alejandro Correa Bahnsen, Djamila Aouada, Björn E. Ottersten

Decis. Anal., 2015

Ensemble of Example-Dependent Cost-Sensitive Decision Trees.

Alejandro Correa Bahnsen, Djamila Aouada, Björn E. Ottersten

CoRR, 2015

Detecting Credit Card Fraud Using Periodic Features.

Alejandro Correa Bahnsen, Djamila Aouada, Aleksandar Stojanovic, Björn E. Ottersten

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Improving Credit Card Fraud Detection with Calibrated Probabilities.

Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring.

Alejandro Correa Bahnsen, Djamila Aouada, Björn E. Ottersten

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk.

Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn E. Ottersten

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2011

Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case.

Alejandro Correa Bahnsen, Andres M. Gonzalez

Proceedings of the Data Mining Workshops (ICDMW), 2011