Time series discords are a useful primitive for time series anomaly detection, and the matrix
profile is capable of capturing discord effectively. There exist many research efforts to …

Time series forecasting is crucial for addressing renewable energy optimization challenges,
such as minimizing financial costs. Factors like seasonality and human activity induce …

Multitask learning (MTL) aims to develop a unified model that can handle a set of closely
related tasks simultaneously. By optimizing the model across multiple tasks, MTL generally …

As machine learning (ML) gains wider adoption in real-world applications, the validation of
ML models becomes fundamental for its productization, particularly in safety-critical …