Alejandro Correa Bahnsen

According to our database1, Alejandro Correa Bahnsen authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Optimizing credit limit adjustments under adversarial goals using reinforcement learning.
Eur. J. Oper. Res., 2024

2022
Influencer Detection with Dynamic Graph Neural Networks.
CoRR, 2022

Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings.
CoRR, 2022

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions.
CoRR, 2022

2021
Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications.
Expert Syst. Appl., 2021

Relational Graph Neural Networks for Fraud Detection in a Super-App environment.
CoRR, 2021

Enhancing User' s Income Estimation with Super-App Alternative Data.
CoRR, 2021

Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.
CoRR, 2021

Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.
Proceedings of the Intelligent Systems and Applications, 2021

2018
Hunting Malicious TLS Certificates with Deep Neural Networks.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017
Classifying phishing URLs using recurrent neural networks.
Proceedings of the 2017 APWG Symposium on Electronic Crime Research, 2017

2016
Feature engineering strategies for credit card fraud detection.
Expert Syst. Appl., 2016

Knowing your enemies: leveraging data analysis to expose phishing patterns against a major US financial institution.
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.
PhD thesis, 2015

Example-dependent cost-sensitive decision trees.
Expert Syst. Appl., 2015

A novel cost-sensitive framework for customer churn predictive modeling.
Decis. Anal., 2015

Ensemble of Example-Dependent Cost-Sensitive Decision Trees.
CoRR, 2015

Detecting Credit Card Fraud Using Periodic Features.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Improving Credit Card Fraud Detection with Calibrated Probabilities.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk.
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.
Proceedings of the Data Mining Workshops (ICDMW), 2011


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