Streaming data are increasingly present in real-world applications such as sensor
measurements, satellite data feed, stock market, and financial data. The main characteristics …

Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …

Real-time driver distraction detection is the core to many distraction countermeasures and
fundamental for constructing a driver-centered driver assistance system. While data-driven …

Normalization is a mandatory preprocessing step in time series problems to guarantee
similarity comparisons invariant to unexpected distortions in amplitude and offset. Such …

Data stream research has grown rapidly over the last decade. Two major features
distinguish data stream from batch learning: stream data are generated on the fly, possibly in …

Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus
Aedes and have caused several outbreaks in world over the past ten years. Morphological …

We have witnessed in recent years an ever-growing volume of information becoming
available in a streaming manner in various application areas. As a result, there is an …

Data stream classification algorithms for nonstationary environments frequently assume the
availability of class labels, instantly or with some lag after the classification. However, certain …

Abstract 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 …

We study how the behavior and wing-beat frequency of hymenopteran flying insects depend
on environmental conditions, such as temperature and relative humidity. We use flight data …