15 citations · 17 across the 4 of their papers we have counts for
3 papers · 1 filter
TMAML: Temporal Model-Agnostic Meta-Learning for Cold-Start Time Series Forecasting
Wannes Janssens, Matthias Bogaert, Dirk Van den Poel
Cold-start forecasting, the task of forecasting a time series with little to no historical data, is a common challenge. Addressing it requires approaches that learn quickly from fe…
Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit
Instance-dependent cost-sensitive (IDCS) classifiers offer a promising approach to improving cost-efficiency in credit scoring by tailoring loss functions to instance-specific cost…
Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races
Ethan Baron, Bram Janssens, Matthias Bogaert
Vector embeddings have been successfully applied in several domains to obtain effective representations of non-numeric data which can then be used in various downstream tasks. We p…