Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...
In software for embedded systems, the frequent use of interrupts for timing, sensing, and I/O processing can cause concurrency faults to occur due to interactions between applicat...
Context-aware pervasive systems are an important emerging category of software, increasingly pervading into daily life, play and work. These systems are characterized by capabilit...
This work develops an integrated approach to the verification of behaviourally rich programs, founded directly on operational semantics. The power of the approach is demonstrated ...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...