25 Result(s)
within
Mohamed Ben Aouicha
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Article
Machine Learning Models for Early Prediction of COVID-19 Infections Based on Clinical Signs
Nowadays, the appearance of common symptoms, such as cough, fever, and loss of smell and taste, is the starting point of a battle against the coronavirus. The first standard method of COVID-19 infection assert...
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Chapter and Conference Paper
Application of Machine Learning Techniques to Enhance Decision Making Lifecycle
In recent years, machine learning has been mainly used to simplify various tasks in the intelligent automation of IT. Because when these various tasks are automated, organizations can save money and time in ac...
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Chapter and Conference Paper
Data Virtualization Layer Key Role in Recent Analytical Data Architectures
The amount of data, its heterogeneity and the speed at which it is generated are increasingly diverse and the current systems are not able to handle on-demand real-time data access. In traditional data integra...
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Chapter and Conference Paper
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 different countries are losing money yearly due to credit card fraud. Due to priva...
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Chapter and Conference Paper
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, these systems have been mainly based on robust probabilistic approaches like...
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Article
Awakening slee** beauties during the COVID-19 pandemic influences the citation impact of their references
In this research letter, we build upon recent studies about the slee** beauties awakened by the COVID-19 pandemic. We prove that a peak of citations for slee** beauties is associated with a sharp increase ...
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Chapter and Conference Paper
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 (KCG) on the accuracy of classical machine learning algorithms for mono-lab...
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Article
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis
Social data has shown important role in tracking, monitoring and risk management of disasters. Indeed, several works focused on the benefits of social data analysis for the healthcare practices and curing doma...
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Chapter and Conference Paper
Paper Co-citation Analysis Using Semantic Similarity Measures
Co-citation analysis can be exploited as a bibliometric technique used for mining information on the relationships between scientific papers. Proposed methods rely, however, on co-citation counting techniques ...
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Article
SNOWL model: social networks unification-based semantic data integration
Integrating social networks data in the process of promoting business and marketing applications is widely addressed by several researchers. However, regarding the isolation between social network platforms ma...
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Article
A survey of semantic relatedness evaluation datasets and procedures
Semantic relatedness between words is a core concept in natural language processing. While countless approaches have been proposed, measuring which one works best is still a challenging task. Thus, in this art...
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Article
Nature or Science: what Google Trends says
Nature and Science are two major multidisciplinary journals, well-known among the general public and highly-cited by scholarly communities. This article presents Google Trends, a web service providing detailed in...
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Article
Facts to consider when analyzing the references of Nobel Prize scientific background
Although the overall analysis of the citations received by Nobel laureates in the scientific background of their Nobel Prize gives an overview of how and when Nobel-awarded discoveries have been achieved and p...
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Article
Discussing Arab Spring’s effect on scientific productivity and research performance in Arab countries
This research letter discusses whether Arab Spring explains the changes in research productivity and impact of Arab countries by identifying non-sociopolitical factors that can be behind the variations of the ...
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Chapter and Conference Paper
Online Content’s Popularity Metrics: RDF-Based Normalization
Social network websites are mainly constructed around the notion of user identities, as set up on the bases of their profiles, and online generated contents such as texts, videos, photos. Still, while some pr...
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Article
The value of letters to the editor
This letter proves the interest of scientists in writing and citing letters to the editor and shows the importance of letters to the editor for worldwide scientific community.
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Article
Review of social media analytics process and Big Data pipeline
Social media analytics is a research axis focused on extracting useful insights from social media data, with the aim of hel** individuals and organizations take the most optimum decisions regarding several d...
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Article
SISR: System for integrating semantic relatedness and similarity measures
Semantic similarity and relatedness measures have increasingly become core elements in the recent research within the semantic technology community. Nowadays, the search for efficient meaning-centered applicat...
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Chapter and Conference Paper
Longinos/Longinas: Towards Smart, Unified Working and Living Environments for the 70 to 90+
The ageing of the human population is a threat to many countries in the world and this fact creates new challenges for age-friendly living, recreational and working environments. Therefore, solutions that can ...
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Chapter
WordNet and Wiktionary-Based Approach for Word Sense Disambiguation
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered as a task whose solution is at least as hard as the most difficult proble...
