Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case. - Alejandro Correa Bahnsen; Andres M. Gonzalez (ICDM Workshops, 2011)

Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk. - Alejandro Correa Bahnsen; Aleksandar Stojanovic 002; Djamila Aouada; Björn E. Ottersten (ICMLA (1), 2013)

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (ICMLA, 2014)

Improving Credit Card Fraud Detection with Calibrated Probabilities. - Alejandro Correa Bahnsen; Aleksandar Stojanovic 002; Djamila Aouada; Björn E. Ottersten (SDM, 2014)

Detecting Credit Card Fraud Using Periodic Features. - Alejandro Correa Bahnsen; Djamila Aouada; Aleksandar Stojanovic 002; Björn E. Ottersten (ICMLA, 2015)

Ensemble of Example-Dependent Cost-Sensitive Decision Trees. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (CoRR, 2015)

A novel cost-sensitive framework for customer churn predictive modeling. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (Decis. Anal., 2015)

Example-dependent cost-sensitive decision trees. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (Expert Syst. Appl., 2015)

Example-Dependent Cost-Sensitive Classification with Applications in Financial Risk Modeling and Marketing Analytics. - Alejandro Correa Bahnsen (2015)

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 (eCrime, 2016)

Feature engineering strategies for credit card fraud detection. - Alejandro Correa Bahnsen; Djamila Aouada; Aleksandar Stojanovic 002; Björn E. Ottersten (Expert Syst. Appl., 2016)

Classifying phishing URLs using recurrent neural networks. - Alejandro Correa Bahnsen; Eduardo Contreras Bohorquez; Sergio Villegas; Javier Vargas; Fabio A. González 001 (eCrime, 2017)

Hunting Malicious TLS Certificates with Deep Neural Networks. - Ivan Torroledo; Luis David Camacho; Alejandro Correa Bahnsen (AISec@CCS, 2018)

Risk-Based Static Authentication in Web Applications with Behavioral Biometrics and Session Context Analytics. - Jesus Solano; Luis David Camacho; Alejandro Correa 003; Claudio Deiro; Javier Vargas 002; Martín Ochoa (ACNS Workshops, 2019)

Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data. - Luisa Roa; Andrés Rodríguez-Rey; Alejandro Correa Bahnsen; Carlos Valencia Arboleda (IntelliSys (2), 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 (ISI, 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)

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)

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)

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)

Combining behavioral biometrics and session context analytics to enhance risk-based static authentication in web applications. - Jesus Solano; Luis David Camacho; Alejandro Correa 003; Claudio Deiro; Javier Vargas 002; Martín Ochoa (Int. J. Inf. Sec., 2021)

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)

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)

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)

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)