4 papers
On the use of graph models to achieve individual and group fairness
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
Machine Learning algorithms are ubiquitous in key decision-making contexts such as justice, healthcare and finance, which has spawned a great demand for fairness in these procedure…
FairLangProc: A Python package for fairness in NLP
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
The rise in usage of Large Language Models to near ubiquitousness in recent years has risen societal concern about their applications in decision-making contexts, such as organizat…
The more the merrier: logical and multistage processors in credit scoring
Arturo Pérez-Peralta, Sandra Benítez-Peña, Rosa E. Lillo
Machine Learning algorithms are ubiquitous in key decision-making contexts such as organizational justice or healthcare, which has spawned a great demand for fairness in these proc…
Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo
Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi-sensor data collected from system…