6 citations · 10 across the 11 of their papers we have counts for
3 papers · 1 filter
Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
Ricardo Inácio, Zafeiris Kokkinogenis, Vitor Cerqueira +1
Predictive models often reinforce biases which were originally embedded in their training data, through skewed decisions. In such cases, mitigation methods are critical to ensure t…
L-GTA: Latent Generative Modeling for Time Series Augmentation
Luis Roque, Vitor Cerqueira, Carlos Soares +1
Data augmentation is becoming increasingly important across various areas of time series analysis, including forecasting, classification, and anomaly detection. We introduce the La…
ModelRadar: Aspect-based Forecast Evaluation
Vitor Cerqueira, Luis Roque, Carlos Soares
Accurate evaluation of forecasting models is essential for ensuring reliable predictions. Current practices for evaluating and comparing forecasting models focus on summarising per…