2 papers
cs.LG2026
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…
cs.CL2025
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…