Alejandro Correa Bahnsen
Alejandro Correa Bahnsen
Rappi
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uniandes.edu.co - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Feature engineering strategies for credit card fraud detection
AC Bahnsen, D Aouada, A Stojanovic, B Ottersten
Expert Systems with Applications 51, 134-142, 2016
1932016
Example-dependent cost-sensitive decision trees
AC Bahnsen, D Aouada, B Ottersten
Expert Systems with Applications 42 (19), 6609-6619, 2015
1522015
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
1152013
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
902017
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
75*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
532014
A novel cost-sensitive framework for customer churn predictive modeling
A Correa Bahnsen, D Aouada, B Ottersten
Decision Analytics, 2015
372015
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
272015
DeepPhish: Simulating Malicious AI
AC Bahnsen, I Torroledo, LD Camacho, S Villegas
Electronic Crime Research (eCrime), 2018 APWG Symposium on, 2018
262018
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
242011
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
202011
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
192016
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
182018
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
International Conference on Applied Cryptography and Network Security, 3-23, 2019
92019
Constructing a Credit Risk Scorecard using Predictive Clusters
A Correa Bahnsen, A González, C Nieto, D Amezquita
SAS Global Forum, 2012
82012
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
7*2017
Formación en valores desde el Área de Psicología del Deporte del Sevilla FC SAD
JI Navarro, JM Gamito, M Valiente, JA Domínguez, A Correa
Revista de Psicología Aplicada al Deporte y al Ejercicio Físico 3 (1), 1-8, 2018
62018
Detecting credit card fraud using periodic features
A Correa Bahnsen, D Aouada, A Stojanovic, B Ottersten
IEEE International Conference on Machine Learning and Applications, 2015
42015
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
22021
Indicadores de capital humano en las Pymes “
I Barrios, A Correa, M Acosta, AL GONZÊLEZ
Capital Humano 174, 65-74, 2004
22004
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