In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Web applications have become complex and crucial for many firms, especially when combined with areas such as CRM (Customer Relationship Management) and BPR (Business Process Reen...
Carlo Bellettini, Alessandro Marchetto, Andrea Tre...
This work is concerned with the efficient design of a reverse logistics network using an extended version of models currently found in the literature. Those traditional, basic mo...
The existence of on-line social networks that include person specific information creates interesting opportunities for various applications ranging from marketing to community o...
Barbara Carminati, Elena Ferrari, Raymond Heatherl...