Time series data is increasingly used in a wide range of fields, and it is often relied on in
crucial applications and high-stakes decision-making. For instance, sensors generate time …

Malicious applications are usually comprehended through two major techniques, namely
static and dynamic analyses. Through static analysis, a given malicious program is parsed …

The black-box nature of neural networks is an obstacle to the adoption of systems based on
them, mainly due to a lack of understanding and trust by end users. Providing explanations …

In buildings, the heating ventilation and air conditioning system (HVAC) creates a
comfortable environment for indoor occupants by setting a temperature strategy. However …

Ensuring that a machine learning model performs as intended is a critical step before it can
be used in practice. This is commonly done by measuring a model's predictive performance …

Time series data is increasingly used in a wide range of fields, and it is often relied on in
crucial applications and high-stakes decision-making. For instance, sensors generate time …