Search Results for author:
Found 8 papers, 2 papers with code
Exact Learning of Qualitative Constraint Networks from Membership Queries
A Qualitative Constraint Network (QCN) is a constraint graph for representing problems under qualitative temporal and spatial relations, among others.
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter
The rapid growth of social media content during the current pandemic provides useful tools for disseminating information which has also become a root for misinformation.
Google Searches and COVID-19 Cases in Saudi Arabia: A Correlation Study
Conclusions: We conducted an investigation study utilizing Internet searches related to COVID-19 symptoms for surveillance of the pandemic spread.
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey
Temporal and social features of content, such as the number of views and likes are leveraged to estimate the popularity of content from a global perspective.
Large Arabic Twitter Dataset on COVID-19
The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe.
A Survey on the Use of Preferences for Virtual Machine Placement in Cloud Data Centers
With the rapid development of virtualization techniques, cloud data centers allow for cost effective, flexible, and customizable deployments of applications on virtualized infrastructure.
Preference-based Multiobjective Virtual Machine Placement: A Ceteris Paribus Approach
This work adopts the notion of Ceteris Paribus (CP) as an interpretation of the Decision Maker (DM) preferences and incorporates it in a constrained multiobjective problem known as virtual machine placement (VMP).
The Complexity of Learning Acyclic Conditional Preference Networks
To assess the optimality of learning algorithms as well as to better understand the combinatorial structure of classes of CP-nets, it is helpful to calculate certain learning-theoretic information complexity parameters.
