Introduction: Cervical cancer screening programs all over the world are being radically revised; preventive screening is increasingly based on detecting infection with human papillomavirus (HPV). This change was driven by large international studies (comparing cytological and HPV-based screening), which were then summarized in systematic reviews or HTA reports. We carried out a systematic compa...

Ahybrid knowledge-based architecture integrates different problem solvers for the same (sub)task through a control unit operating at a meta-level, the metareasoner, which coordinates the use of, and the communication between, the different problem solvers. A problem solver is defined to be an association between a knowledge intensive (sub)task, an inference mechanism and a knowledge domain view...

Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way. Meta Modeling as a concept is a proven technology to enable such conceptual integration for both machine computation and human-o...

Action detection and temporal segmentation of actions in videos are topics of increasing interest. While fully supervised systems have gained much attention lately, full annotation of each action within the video is costly and impractical for large amounts of video data. Thus, weakly supervised action detection and temporal segmentation methods are of great importance. While most works in this ...

Agent’s meta-reasoning is a computational process that implements agent’s capability to reason on a higher level about another agent or a community of agents. There is a potential for meta-reasoning in multi-agent systems. Meta-reasoning can be used for reconstructing agents’ private knowledge, their mental states and for prediction of their future courses of action. Meta-agents should have the...

Different meta-heuristics (MHs) may find the best solutions for different traveling salesman problem (TSP) instances. The a priori selection of the best MH for a given instance is a difficult task. We address this task by using a meta-learning based approach, which ranks different MHs according to their expected performance. Our approach uses Multilayer Perceptrons (MLPs) for label ranking. It ...

This paper presents a web-based system that supports students in their learning of phonetic transcription and production. It allows students to create their own exercises from an integrated database of recordings, according to their specific learning needs. Every recording in the system has been meta-tagged. For example, a cardinal vowel will have, among others, the tags ‘vowel’ and ‘cardinal’....