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Alejandro Correa Bahnsen
Alejandro Correa Bahnsen
Sonstige NamenAlejandro Bahnsen
Tec Monterrey
Bestätigte E-Mail-Adresse bei tec.mx - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Feature engineering strategies for credit card fraud detection
AC Bahnsen, D Aouada, A Stojanovic, B Ottersten
Expert Systems with Applications 51, 134-142, 2016
4112016
Example-dependent cost-sensitive decision trees
AC Bahnsen, D Aouada, B Ottersten
Expert Systems with Applications 42 (19), 6609-6619, 2015
2712015
Classifying Phishing URLs Using Recurrent Neural Networks
AC Bahnsen, EC Bohorquez, S Villegas, J Vargas, FA González
Electronic Crime Research (eCrime), 2017 APWG Symposium on, 2017
2492017
Cost sensitive credit card fraud detection using Bayes minimum risk
AC Bahnsen, A Stojanovic, D Aouada, B Ottersten
2013 12th international conference on machine learning and applications 1 …, 2013
2172013
Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring
A Correa Bahnsen, D Aouada, B Ottersten
International Conference on Machine Learning and Applications, 7, 2014
155*2014
Improving Credit Card Fraud Detection with Calibrated Probabilities
AC Bahnsen, A Stojanovic, D Aouada, B Ottersten
Proceedings of the fourteenth SIAM International Conference on Data Mining …, 2014
1052014
DeepPhish: Simulating Malicious AI
AC Bahnsen, I Torroledo, LD Camacho, S Villegas
Electronic Crime Research (eCrime), 2018 APWG Symposium on, 2018
832018
Hunting malicious TLS certificates with deep neural networks
I Torroledo, LD Camacho, AC Bahnsen
Proceedings of the 11th ACM workshop on Artificial Intelligence and Security …, 2018
742018
A novel cost-sensitive framework for customer churn predictive modeling
A Correa Bahnsen, D Aouada, B Ottersten
Decision Analytics, 2015
662015
Detecting credit card fraud using periodic features
AC Bahnsen, D Aouada, A Stojanovic, B Ottersten
2015 IEEE 14th international conference on machine learning and applications …, 2015
482015
Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications
L Roa, A Correa-Bahnsen, G Suarez, F Cortés-Tejada, MA Luque, ...
Expert Systems with Applications 169, 114486, 2021
472021
Evolutionary algorithms for selecting the architecture of a MLP neural network: A credit scoring case
AC Bahnsen, AM Gonzalez
2011 IEEE 11th International Conference on Data Mining Workshops, 725-732, 2011
352011
Knowing your enemies: Leveraging data analysis to expose phishing patterns against a major US financial institution
J Vargas, AC Bahnsen, S Villegas, D Ingevaldson
2016 APWG Symposium on Electronic Crime Research (eCrime), 1-10, 2016
272016
Genetic algorithm optimization for selecting the best architecture of a multi-layer perceptron neural network: a credit scoring case
A Correa, A Gonzalez, C Ladino
SAS Global Forum, 2011
272011
Phishing detection enhanced through machine learning techniques
AC Bahnsen, IDT Pena, LDC Gonzalez, SV Piedrahita
US Patent 10,944,789, 2021
252021
Fraud Detection by Stacking Cost-Sensitive Decision Trees
A Correa Bahnsen, S Villegas, D Aouada, B Ottersten
Data Science for Cyber-Security (DSCS), London 25-27 September, 2017
20*2017
Risk-based static authentication in web applications with behavioral biometrics and session context analytics
J Solano, L Camacho, A Correa, C Deiro, J Vargas, M Ochoa
Applied Cryptography and Network Security Workshops: ACNS 2019 Satellite …, 2019
182019
Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data
L Roa, A Rodríguez-Rey, A Correa-Bahnsen, C Valencia
Intelligent Systems Conference, 2021
162021
Combining behavioral biometrics and session context analytics to enhance risk-based static authentication in web applications
J Solano, L Camacho, A Correa, C Deiro, J Vargas, M Ochoa
International Journal of Information Security 20 (2), 181-197, 2021
142021
Relational Graph Neural Networks for Fraud Detection in a Super-App Environment
JD Acevedo-Viloria, L Roa, S Adeshina, CC Olazo, A Rodríguez-Rey, ...
KDD Workshop on ML in Finance, 2021
102021
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