473 citations · 588 across the 23 of their papers we have counts for
4 papers · 1 filter
AutoFITS: Automatic Feature Engineering for Irregular Time Series
Pedro Costa, Vitor Cerqueira, João Vinagre
A time series represents a set of observations collected over time. Typically, these observations are captured with a uniform sampling frequency (e.g. daily). When data points are…
Model Compression for Dynamic Forecast Combination
Vitor Cerqueira, Luis Torgo, Carlos Soares +1
The predictive advantage of combining several different predictive models is widely accepted. Particularly in time series forecasting problems, this combination is often dynamic to…
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators
Vitor Cerqueira, Luis Torgo, Carlos Soares
Evaluating predictive models is a crucial task in predictive analytics. This process is especially challenging with time series data where the observations show temporal dependenci…
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection
Vitor Cerqueira, Heitor Murilo Gomes, Albert Bifet +1
Concept drift detection is a crucial task in data stream evolving environments. Most of state of the art approaches designed to tackle this problem monitor the loss of predictive m…