336
Publications
1035
Auteurs uniques
3
Pays représentés
Afrique du SudGhanaÉthiopie
Publications
336 publication(s) trouvée(s)
Article scientifique
Face recognition with Bayesian convolutional networks for robust surveillance systems
Recognition of facial images is one of the most challenging research issues in surveillance systems due to different problems including …
Article scientifique
On Recommendation of Learning Objects Using Felder-Silverman Learning Style Model
The e-learning recommender system in learning institutions is increasingly becoming the preferred mode of delivery, as it enables learning anytime, …
Article scientifique
Large-scale e-learning recommender system based on Spark and Hadoop
The present work is a part of the ESTenLigne project which is the result of several years of experience for …
Article scientifique
Twitter Sentiment Analysis Based on Ordinal Regression
In recent years, research on Twitter sentiment analysis, which analyzes Twitter data (tweets) to extract user sentiments about a topic, …
Article scientifique
Predictive classifier models built from natural products with antimalarial bioactivity using machine learning approach
In view of the vast number of natural products with potential antiplasmodial bioactivity and cost of conducting antiplasmodial bioactivity assays, …
Article scientifique
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA
Fluctuationinprices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of …
Article scientifique
Quantum ensembles of quantum classifiers
Quantum machine learning witnesses an increasing amount of quantum algorithms for data-driven decision making, a problem with potential applications ranging …
Article scientifique
Ensemble learning method for the prediction of new bioactive molecules
Pharmacologically active molecules can provide remedies for a range of different illnesses and infections. Therefore, the search for such bioactive …
Article scientifique
A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction
Predicting stock market price is considered as a challenging task of financial time series analysis, which is of great interest …
Article scientifique
Mix Multiple Features to Evaluate the Content and the Linguistic Quality of Text Summaries
In this article, we propose a method of text summary's content and linguistic quality evaluation that is based on a …
Article scientifique
An innovative multi-segment strategy for the classification of legal judgments using the k-nearest neighbour classifier
The classification of legal documents has been receiving considerate attention over the last few years. This is mainly because of …
Article scientifique
Machine Learning Approach to Evaluate MultiLingual Summaries
The present paper introduces a new Multiling text summary evaluation method. This method relies on machine learning approach which operates …
Article scientifique
Toward a Web-based Speech Corpus for Algerian Dialectal Arabic Varieties
The success of machine learning for automatic speech processing has raised the need for large scale datasets. However, collecting such …
Article scientifique
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
There have been many attempts at automatically recognising author personality traits from text, typically incorporating linguistic features with conventional machine …
Article scientifique
Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments
Dialectal Arabic (DA) is significantly different from the Arabic language taught in schools and used in written communication and formal …
Article scientifique
A Trainable Spaced Repetition Model for Language Learning
We present half-life regression (HLR), a novel model for spaced repetition practice with applications to second language acquisition. HLR combines …
Thèse
Optimisation du Trafic Routier dans les Villes Intelligentes en Utilisant les Techniques du Machine Learning
La congestion routière est l’un des défis les plus structurants des métropoles contem- poraines. Elle grève l’économie, jusqu’à près de …
Thèse
Enhanced Diagnostic and Interpretable Model for Febrile Diseases Using Explainable AI and Large Language Model
Tropical febrile diseases pose significant public health challenges in tropical regions, particularly in resource-limited settings, where timely and accurate diagnoses …
Thèse
Estimating and Explaining Predictive Uncertainty in Machine Learning
Although Machine Learning (ML) models have proved to be useful in key applications, they still have significant limitations, such as …
Thèse
Contribution à l’amélioration de la confidentialité et de la sécurité des données dans l’environnement VANETs
<div><p>Le réseau ad hoc véhiculaire (VANET) présente une technologie cruciale au sein des systèmes de transport intelligents (ITS), visant à …