Paper-Conference

DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System
The IoT-based applications have a set of complex requirements, such as a reliable network connection and handling data from multiple …
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Preregistration: Comparing the use of Wikidata and Wikipedia by open-source software programmers on GitHub repositories
Wikipedia and Wikidata are socio-technical systems driven by collaborative communities, open content, and open-source infrastructure. …
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Automating the use of Shape Expressions for the validation of semantic knowledge in Wikidata
In this position paper, we discuss the semantic alignment-based approach for automating the ShEx-based validation of Wikidata items as …
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Ten years of Wikidata: A bibliometric study
In this research paper, we analyzed the scientific research dealing with Wikidata from its creation in 2012 until late 2022, as …
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Recommender System for Scholarly Articles to Monitor COVID-19 Trends in Social Media Based on Low-Cost Topic Modeling
During the last years, many computer systems have been developed to track and monitor COVID-19 social network interactions. However, …
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Comparative Data Oversampling Techniques with Deep Learning Algorithms for Credit Card Fraud Detection
Financial businesses have a significant challenge with credit card fraud. Approximately more than one million individuals from …
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MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications
Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the …
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Data Models for Annotating Biomedical Scholarly Publications: the Case of CORD-19
Semantic text annotations have been a key factor for supporting computer applications ranging from knowledge graph construction to …
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How Knowledge-Driven Class Generalization Affects Classical Machine Learning Algorithms for Mono-label Supervised Classification
Beyond class imbalance and the sample size per class, this research paper studies the effect of knowledge-driven class generalization …
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Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models.
The fast spread of Covid-19 or the novel Coronavirus in the world has influenced it and caused a huge number of deaths. This remains a …
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