Outputs (126)

Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models (2017)
Book Chapter

The ability to predict future states is fundamental for a wide variety of applications, from weather forecasting to stock market analysis. Understanding the related data attributes that can influence changes in time series is a challenging task that... Read More about Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models.

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources (2017)
Journal Article

© 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed... Read More about Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources.

Using flickr for characterizing the environment: An exploratory analysis (2017)
Presentation / Conference Contribution

© Shelan S. Jeawak, Christopher B. Jones, and Steven Schockaert. The photo-sharing website Flickr has become a valuable informal information source in disciplines such as geography and ecology. Some ecologists, for instance, have been manually analys... Read More about Using flickr for characterizing the environment: An exploratory analysis.

Analysing the provenance tracking of business process management in the quality domain (2017)
Thesis

This work presents a framework of how Provenance can be combined with BPM. This is achieved through a use case, from the Martine Spécialités enterprise which is using the Agilium BPM system (without the provenance functionality). Using the PROV Data... Read More about Analysing the provenance tracking of business process management in the quality domain.

A semantic representation of the knowledge management enablers domain: The aKMEOnt ontology (2017)
Book Chapter

Knowledge management is a significant driver for any enterprise development and evolution as it is engaged with planning, implementing, controlling, monitoring and improving enterprise’s processes and systems. However, organisations are still at a di... Read More about A semantic representation of the knowledge management enablers domain: The aKMEOnt ontology.

Underwater image and video dehazing with pure haze region segmentation (2017)
Journal Article

© 2017 The Authors Underwater scenes captured by cameras are plagued with poor contrast and a spectral distortion, which are the result of the scattering and absorptive properties of water. In this paper we present a novel dehazing method that improv... Read More about Underwater image and video dehazing with pure haze region segmentation.

Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach (2017)
Journal Article

This article explores advances in the data mining arena to solve the fundamental MAXSAT problem. In the proposed approach, the MAXSAT instance is first decomposed and clustered by using data mining decomposition techniques, then every cluster resulti... Read More about Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach.

More efficient structure-preserving signatures - or: Bypassing the type-III lower bounds (2017)
Presentation / Conference Contribution

© 2017, Springer International Publishing AG. Structure-Preserving Signatures (SPSs) are an important cryptographic primitive that is useful for the design of modular cryptographic protocols. It has be shown that in the most efficient Type-III biline... Read More about More efficient structure-preserving signatures - or: Bypassing the type-III lower bounds.

The use of ontologies for effective knowledge modelling and information retrieval (2017)
Journal Article

© 2017 The dramatic increase in the use of knowledge discovery applications requires end users to write complex database search requests to retrieve information. Such users are not only expected to grasp the structural complexity of complex databases... Read More about The use of ontologies for effective knowledge modelling and information retrieval.

ARIADNE: A research infrastructure for archaeology (2017)
Journal Article

© 2017 ACM. Research e-infrastructures, digital archives, and data services have become important pillars of scientific enterprise that in recent decades have become ever more collaborative, distributed, and data intensive. The archaeological researc... Read More about ARIADNE: A research infrastructure for archaeology.