15 citations · 17 across the 4 of their papers we have counts for
6 papers
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…
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
Dylan Van Mulders, Matthias Bogaert, Dirk Van den Poel
The formation of political coalitions is a complex negotiation driven by both concrete policy objectives and deep-seated ideological convictions. While Large Language Models (LLMs)…
LLM-Assisted Topic Reduction for BERTopic on Social Media Data
Wannes Janssens, Matthias Bogaert, Dirk Van den Poel
The BERTopic framework leverages transformer embeddings and hierarchical clustering to extract latent topics from unstructured text corpora. While effective, it often struggles wit…
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…
Geospatial Road Cycling Race Results Data Set
Bram Janssens, Luca Pappalardo, Jelle De Bock +2
The field of cycling analytics has only recently started to develop due to limited access to open data sources. Accordingly, research and data sources are very divergent, with larg…
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…