Decision-making based on machine learning systems, especially when this decision-making
can affect human lives, is a subject of maximum interest in the Machine Learning community …

Multi-view fusion approaches have gained increasing interest in the past few years by
researchers. This interest comes due to the many perspectives that datasets can be looked …

When deployed in the wild, machine learning models are usually confronted with an
environment that imposes severe constraints. As this environment evolves, so do these …

Machine learning plays an increasingly important role in our society and economy and is
already having an impact on our daily life in many different ways. From several perspectives …

With the commoditization of machine learning, more and more off-the-shelf models are
available as part of code libraries or cloud services. Typically, data scientists and other users …

Differential replication through copying refers to the process of replicating the decision
behavior of a machine learning model using another model that possesses enhanced …

In this paper, we introduce BDFP, an ongoing project developed by the Big Data Center of
Excellence of Barcelona which aims at analysing the Vocational Education and Training …

When deployed in the wild, machine learning models are usually confronted with data and
requirements that constantly vary, either because of changes in the generating distribution …

Differential replication is a method to adapt existing machine learning solutions to the
demands of highly regulated environments by reusing knowledge from one generation to …

[eng] Despite the rapid growth of machine learning in the past decades, deploying
automated decision making systems in practice remains a challenge for most companies …