2 citations · 3 across the 2 of their papers we have counts for
3 papers
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan, Klaus Broelemann, Gjergji Kasneci +2
As input data distributions evolve, the predictive performance of machine learning models tends to deteriorate. In the past, predictive performance was considered the key indicator…
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
Carlos Mougan, George Kanellos, Johannes Micheler +2
Statistical production systems cover multiple steps from the collection, aggregation, and integration of data to tasks like data quality assurance and dissemination. While the cont…
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems
Carlos Mougan, David Masip, Jordi Nin +1
Regression problems have been widely studied in machinelearning literature resulting in a plethora of regression models and performance measures. However, there are few techniques…