168 citations · 656 across the 19 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…
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…
An Open Source AutoML Benchmark
Pieter Gijsbers, Erin LeDell, Janek Thomas +3
In recent years, an active field of research has developed around automated machine learning (AutoML). Unfortunately, comparing different AutoML systems is hard and often done inco…
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning
Jann Goschenhofer, Franz MJ Pfister, Kamer Ali Yuksel +3
One major challenge in the medication of Parkinson's disease is that the severity of the disease, reflected in the patients' motor state, cannot be measured using accessible biomar…