Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
-- In this paper, we present a theoretical framing of the functions of a mirror by breaking the synchrony between the state of a reference object and its reflection. This framing p...
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
This tutorial deals with runtime enforcement which is an extension of runtime verification aiming to circumvent misbehaviors of systems. After an historical overview of previous a...