Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
sing Attacks to Attacks in Abstract Argumentation Frameworks Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, and Giovanni Guida Dipartimento di Elettronica per l’Automazi...
Pietro Baroni, Federico Cerutti, Massimiliano Giac...
Product line engineering is an emerging paradigm of developing a family of products. While product line analysis and design mainly focus on reasoning about commonality and variabi...
Active probe-based measurements are the foundation for understanding important network path properties such as SLA compliance and available bandwidth. Well-known challenges in act...
—In a broadcasting task, source node wants to send the same message to all the other nodes in the network. Existing solutions range from connected dominating set (CDS) based for ...