research
∙
09/21/2023
Uplift vs. predictive modeling: a theoretical analysis
Despite the growing popularity of machine-learning techniques in decisio...
share
research
∙
07/03/2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
Data economy relies on data-driven systems and complex machine learning ...
research
∙
03/01/2023
Traffic Modeling with SUMO: a Tutorial
This paper presents a step-by-step guide to generating and simulating a ...
research
∙
11/14/2022
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment
Counterfactuals are central in causal human reasoning and the scientific...
research
∙
07/20/2021
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production
The dark face of digital commerce generalization is the increase of frau...
research
∙
04/20/2018
Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization
Credit card fraud detection is a very challenging problem because of the...
research
∙
09/07/2017
Feature selection in high-dimensional dataset using MapReduce
This paper describes a distributed MapReduce implementation of the minim...
research
∙
12/19/2014
From dependency to causality: a machine learning approach
The relationship between statistical dependency and causality lies at th...
research
∙
08/16/2011
