All Outputs (116)

Evolutionary n-level hypergraph partitioning with adaptive coarsening (2019)
Journal Article

Hypergraph partitioning is an NP-hard problem that occurs in many computer science applications where it is necessary to reduce large problems into a number of smaller, computationally tractable sub-problems. Current techniques use a multilevel appro... Read More about Evolutionary n-level hypergraph partitioning with adaptive coarsening.

Emotional bots: Content-based spammer detection on social media (2019)
Presentation / Conference Contribution

Recent research indicates that a considerable amount
of content on social media is generated by automated accounts. The automata present sophisticated behavior –
mimicking humans– aiming at evading traditional detection
methods. In this paper, we... Read More about Emotional bots: Content-based spammer detection on social media.

Deriving object-based business process architecture using knowledge management enablers (2019)
Journal Article

This paper discusses a semantic-driven approach to deriving an object-based Business Process Architecture (BPA) using Knowledge Management Enablers (KMEs). The semantic enriched Riva BPA (srBPA) ontology has been selected as an object and ontology b... Read More about Deriving object-based business process architecture using knowledge management enablers.

Towards experimental P-systems using multivesicular liposomes (2019)
Journal Article

P-systems are abstract computational models inspired by the phospholipid bilayer membranes generated by biological cells. Illustrated here is a mechanism by which recursive liposome structures (multivesicular liposomes) may be experimentally produced... Read More about Towards experimental P-systems using multivesicular liposomes.

A semantically-enriched quality governance framework for systems of systems applied to cancer care (2019)
Presentation / Conference Contribution

Quality Governance of Systems of Systems (SoS) is a very complex challenge, given that participating systems in the arrangement are often not under direct control and they have different life cycles; yet one has to ensure that the required level of q... Read More about A semantically-enriched quality governance framework for systems of systems applied to cancer care.

An agent-based approach for strategic alignment in enterprise systems: A cancer care case (2019)
Presentation / Conference Contribution

Enterprise systems are viewed as large-scale software systems, which are usually assembled through a number of protocols inspired by political coalitions. This is due to the fact that incompatibilities emerge through the nature of subsystems can only... Read More about An agent-based approach for strategic alignment in enterprise systems: A cancer care case.

A metaheuristic search framework to derive Cancer Care Services from business process models (2019)
Presentation / Conference Contribution

Cancer Care involves not only handling patients' medical or physical needs but also other services to facilitate patient needs which are underpinned by appropriate software systems that assist in patient care processes. The Service-Oriented Architect... Read More about A metaheuristic search framework to derive Cancer Care Services from business process models.

Analysing cancer care informatics through the lens of the United Nations Sustainable Development Goals - A review and assessment (2019)
Presentation / Conference Contribution

© 2018 IEEE. Cancer Care Informatics (CCI) and its impacts are assessed using the United Nations Sustainable Development Goals (SDGs). The positive and negative impacts of CCI on the SDGs are considered through a literature review and expert assessme... Read More about Analysing cancer care informatics through the lens of the United Nations Sustainable Development Goals - A review and assessment.

A Survey on Urban Traffic Anomalies Detection Algorithms (2019)
Journal Article

© 2019 IEEE. This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups solutions tha... Read More about A Survey on Urban Traffic Anomalies Detection Algorithms.

An interactive metaheuristic search framework for software service identification from business process models (2019)
Thesis

In recent years, the Service-Oriented Architecture (SOA) model of computing has become widely used and has provided efficient and agile business solutions in response to inevitable and rapid changes in business requirements. Software service identifi... Read More about An interactive metaheuristic search framework for software service identification from business process models.

Intrusion Detection and Prevention in Cloud, Fog, and Internet of Things (2019)
Journal Article

Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms (2019)
Presentation / Conference Contribution

© 2019, IFIP International Federation for Information Processing. A recommender system uses specific algorithms and techniques in order to suggest specific services, goods or other type of recommendations that users could be interested in. User’s pre... Read More about Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms.

A reverse-engineering methodology for medical enhancement processes (2019)
Journal Article

© 2019 The Authors. Published by Elsevier B.V. This study was initiated for the benefit of the Tunisian Ministry of Health and the Informatics Centre of the Ministry of Health (CIMSP). The scope of our study is restricted to two university hospitals:... Read More about A reverse-engineering methodology for medical enhancement processes.

Enhanced privacy governance in Health Information Systems through business process modelling and HL7 (2019)
Journal Article

© 2019 The Authors. Published by Elsevier B.V. Medical data privacy is nowadays an alarming issue thanks to the technological revolution witnessed in the medical field and the ease of data access and exchange leveraged by newly implemented Hospital I... Read More about Enhanced privacy governance in Health Information Systems through business process modelling and HL7.

Accuracy comparison of machine learning algorithms for predictive analytics in higher education (2019)
Presentation / Conference Contribution

In this research, we compared the accuracy of machine learning algorithms that could be used for predictive analytics in higher education. The proposed experiment is based on a combination of classic machine learning algorithms such as Naive Bayes an... Read More about Accuracy comparison of machine learning algorithms for predictive analytics in higher education.

A review and survey on smartphones: The closest enemy to privacy (2019)
Presentation / Conference Contribution

Smartphones have changed the world from a primitive to a high-tech standpoint. However, there have been many incidents where third parties have used confidential data of the users without their consent. Thus, it causes people to be paranoid and distr... Read More about A review and survey on smartphones: The closest enemy to privacy.