Explaining reasoning and behaviour of artificial intelligent systems to human users becomes
increasingly urgent, especially in the field of machine learning. Many recent contributions …

The increasing amount of resources in a single machine constantly increases the level of
server consolidation for virtualization. However, along with the improvement of server …

Several scientists have moved their IO-and CPU-intensive workflows to Data-Intensive
Scalable Computing (DISC) frameworks aiming at benefit from high scalability, broad …

Software project management is a complex task that requires accurate information and
experience to inform the decisionmaking process. In the real world software project …

Compliance with privacy policies imposes requirements on organizations and their
information systems. Maintaining auditable privacy logs is one of the key mechanisms …

Security is likely to be a critical factor in the future adoption of provenance technology,
because of the risk of inadvertent disclosure of sensitive information. In this survey paper we …

Provenance refers to the origin of a particular object. In computational terms, provenance is
a historical record of the derivation of data that can help to understand the current record. In …

Multiple scientific disciplines face a so-called crisis of reproducibility and replicability (R&R)
in which the validity of methodologies is questioned due to an inability to confirm …

The participation of users within AAL environments is increasing thanks to the capabilities of
the current wearable devices. Furthermore, the significance of considering user's …

The process of transferring technology from research institutes to industry involves
benchmarking it in exhaustive experiments to assure it reaches the established quality …