11 citations · 11 across the 6 of their papers we have counts for
6 papers
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity
Lisa Koutsoviti Koumeri, Magali Legast, Yasaman Yousefi +3
Empirical evidence suggests that algorithmic decisions driven by Machine Learning (ML) techniques threaten to discriminate against legally protected groups or create new sources of…
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma +2
In this paper, we integrate the concepts of feature importance with implicit bias in the context of pattern classification. This is done by means of a three-step methodology that i…
Measuring Wind Turbine Health Using Drifting Concepts
Agnieszka Jastrzebska, Alejandro Morales-Hernández, Gonzalo Nápoles +2
Time series processing is an essential aspect of wind turbine health monitoring. Despite the progress in this field, there is still room for new methods to improve modeling quality…
Online learning of windmill time series using Long Short-term Cognitive Networks
Alejandro Morales-Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska +2
Forecasting windmill time series is often the basis of other processes such as anomaly detection, health monitoring, or maintenance scheduling. The amount of data generated on wind…
Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning
Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof
While the machine learning literature dedicated to fully automated reasoning algorithms is abundant, the number of methods enabling the inference process on the basis of previously…
A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model
Tom Brijs, Bart Goethals, Gilbert Swinnen +2
In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt…