168 citations · 380 across the 21 of their papers we have counts for
4 papers · 1 filter
Towards Human Centered AutoML
Florian Pfisterer, Janek Thomas, Bernd Bischl
Building models from data is an integral part of the majority of data science workflows. While data scientists are often forced to spend the majority of the time available for a gi…
Benchmarking time series classification -- Functional data vs machine learning approaches
Florian Pfisterer, Laura Beggel, Xudong Sun +2
Time series classification problems have drawn increasing attention in the machine learning and statistical community. Closely related is the field of functional data analysis (FDA…
Multi-Objective Automatic Machine Learning with AutoxgboostMC
Florian Pfisterer, Stefan Coors, Janek Thomas +1
AutoML systems are currently rising in popularity, as they can build powerful models without human oversight. They often combine techniques from many different sub-fields of machin…
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
Xudong Sun, Andrea Bommert, Florian Pfisterer +3
A novel machine learning optimization process coined Restrictive Federated Model Selection (RFMS) is proposed under the scenario, for example, when data from healthcare units can n…