Results 221 to 230 of about 629,623 (262)
Some of the next articles are maybe not open access.
Enriching Recommendation Models with Logic Conditions
Proceedings of the ACM on Management of Data, 2023This paper proposes RecLogic, a framework for improving the accuracy of machine learning (ML) models for recommendation. It aims to enhance existing ML models with logic conditions to reduce false positives and false negatives, without training a new model.
Lihang Fan +4 more
openaire +1 more source
Modeling with Enriched Model-Driven Architecture
2008The objective is to produce an assistance tool to the GIS design adapted to a development process allowing rapid prototyping in analysis phase ensuring the knowledge capitalization. The Continuous Integration Unified Process method was conceived to allow the development according to the prototyping process during the analysis phase.
Miralles, André +1 more
openaire +3 more sources
Enriching Topic Models with DBpedia
2016Traditional Topic Modeling approaches only consider the words in the document. By using an entity-topic modeling approach and including background knowledge about the entities such as the occupation of persons, the location of organizations, the band of a musician etc., we can better cluster related documents together, and produce semantic topic models
Alexandru Todor +3 more
openaire +1 more source
ISPRS Journal of Photogrammetry and Remote Sensing, 2011
The combination of mobile communication technology with location and orientation aware digital cameras has introduced increasing interest in the exploitation of 3D city models for applications such as augmented reality and automated image captioning. The effectiveness of such applications is, at present, severely limited by the often poor quality of ...
Philip D. Smart +2 more
openaire +1 more source
The combination of mobile communication technology with location and orientation aware digital cameras has introduced increasing interest in the exploitation of 3D city models for applications such as augmented reality and automated image captioning. The effectiveness of such applications is, at present, severely limited by the often poor quality of ...
Philip D. Smart +2 more
openaire +1 more source
Semantic Enrichment of Explanations of AI Models for Healthcare
2023Explaining AI-based clinical decision support systems is crucial to enhancing clinician trust in those powerful systems. Unfortunately, current explanations provided by eXplainable Artificial Intelligence techniques are not easily understandable by experts outside of AI.
Luca Corbucci +5 more
openaire +3 more sources
Enriching Data Models with Behavioral Constraints
2019Existing process modelling notations ranging from Petri nets to BPMN have difficulties capturing the essential features of the domain under study. Process models often focus on the control flow, lacking an explicit, conceptually well-founded integration with real data models, such as ER diagrams or UML class diagrams. In addition, they essentially rely
Alessandro Artale +3 more
openaire +1 more source
CognitiveNet: Enriching Foundation Models with Emotions and Awareness
2023Foundation models are gaining considerable interest for their capacity of solving many downstream tasks without fine-tuning parameters on specific datasets. The same solutions can connect visual and linguistic representations through image-text contrastive learning.
Riccardo Emanuele Landi +2 more
openaire +3 more sources
A neural model for unsupervised taxonomy enrichment
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services, 2008The most important prerequisite for the success of the Semantic Web research is the construction of complete and reliable domain ontologies. In this paper we describe an unsupervised framework for domain ontology enrichment based on mining domain text corpora. Specifically, we enrich the hierarchical backbone of an existing ontology, i.e. its taxonomy,
Emil St. Chifu, Ioan Alfred Letia
openaire +1 more source
Improving AOSE with an Enriched Modelling Framework
2006We describe an approach to the development of a complex social care system that defines specific steps along the path to MAS implementation. In particular we explore the use of conceptual knowledge modelling techniques by means of conceptual graphs and a transactions-based architecture for model verification during requirements gathering, together with
Richard Hill +2 more
openaire +1 more source
Enriching the web by modeling reading difficulty
Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval, 2013The ability to read and understand a text would seem to be a basic aspect of interacting with a rich information source like the Web, yet little is currently known about the nature of the Web, its users, and how users interact with content when seen through the lens of reading difficulty. For example, a document isn't relevant to a person's information
openaire +1 more source