336
Publications
1035
Auteurs uniques
3
Pays représentés
Afrique du SudGhanaÉthiopie
Publications
336 publication(s) trouvée(s)
Article scientifique
Traffic Qualification in SD-WMN using Ensemble based Machine Learning Approach
Abstract The traffic classification problem formulation is NP-hard and has known several resolution approaches where the emerging one is the …
Article scientifique
A New Centralized Detection-Based Process for Evaluating Anomalies and Analyzing the First Causes Using Machine Learning and Web Semantic
In the last decades, many works have been done to enhance data performances in the computer field. Data performance consists …
Article scientifique
Prediction of malaria outcomes using patients’ demographical, environmental and clinical features
Abstract Background: The current malaria diagnosis methods, which rely on microscopy and Histidine Rich Protein2 (HRP2) based RDT, have drawbacks …
Article scientifique
Bank Loan Classification of Imbalanced Dataset Using Machine Learning Approach
Article scientifique
Exploring the Integration of Machine Learning Models in Programming Languages on GitHub: Impact on Compatibility to Address Them
Abstract The complex field of accounting and how information technologies have impacted the way it's managed. It explains how many …
Article scientifique
Optimization of Machine Learning Algorithms Through Hyper-parameter Tuning Applied for the classification of Arabic news
Abstract In the field of machine learning, hyperparameter tuning is a technique used to determine which learning algorithms have the …
Article scientifique
Identifying inhibitors of β-haematin formation with activity against chloroquine-resistant Plasmodium falciparum malaria parasites via virtual screening approaches
The biomineral haemozoin, or its synthetic analogue β-haematin (βH), has been the focus of several target-based screens for activity against …
Article scientifique
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
Minimum Bayes Risk (MBR) decoding is a method for choosing the outputs of a machine learning system based not on …
Article scientifique
Patient-level performance evaluation of a smartphone-based malaria diagnostic application
BACKGROUND: Microscopic examination is commonly used for malaria diagnosis in the field. However, the lack of well-trained microscopists in malaria-endemic …
Article scientifique
Features and Supervised Machine Learning-Based Method for Singleton Design Pattern Variants Detection
Abstract Design patterns codify standard solutions to common problems in software design and architecture. Given their importance in improving software …
Article scientifique
Identifying inhibitors of β-haematin formation with activity against chloroquine-resistant Plasmodium falciparum malaria parasites via virtual screening approaches
Abstract The biomineral haemozoin, or its synthetic analogue β-haematin (βH), has been the focus of several target-based screens for activity …
Article scientifique
A Survey on Computational Intelligence Applications in Information Retrieval
Abstract Computational Intelligence (CI) techniques have been widely employed in information retrieval (IR). CI approaches include everything from evolutionary computation …
Article scientifique
Statistical approaches to identifying significant differences in predictive performance between machine learning and classical statistical models for survival data
Research that seeks to compare two predictive models requires a thorough statistical approach to draw valid inferences about comparisons between …
Article scientifique
Combining Variable Neighbourhood with Simulated Annealing for Learning to Rank Problem
Abstract Variable Neighbourhood Search (VNS) is a problem-solving technique that improves heuristic solutions. The solutions are built around incremental adjustments …
Article scientifique
Intrusion Detection System using Ensemble Learning Approaches: A Systematic Literature Review
Undoubtedly, the advancements in Machine Learning (ML) and especially ensemble learning models enable researchers to develop numerous fields in ways …
Article scientifique
Binary dwarf mongoose optimizer for solving high-dimensional feature selection problems
Selecting appropriate feature subsets is a vital task in machine learning. Its main goal is to remove noisy, irrelevant, and …
Article scientifique
Airplane Detection Based on Unsupervised Deep Domain Adaptation in Remote Sensing Images
Abstract In this work, we use the detection and localization capabilities of the pre-trained Faster Region Convolutional Neuronal Network (Faster …
Article scientifique
Classes of Mormordicoside with potent and selective tumor cell growth inhibitory activity: prediction of Pyruvate kinase muscle isozyme 2 (PKM 2) and Anti-apoptotic Myeloid leukemia 1 (MCL1) inhibitor through machine learning.
Abstract Background The difficulty in treating cancer resides in the ability to target abnormal proliferation while protecting normal proliferation, a …
Article scientifique
SML-AutoML: A Smart Meta-Learning Automated Machine Learning Framework
Article scientifique
Fake Reviews Detection through Machine learning Algorithms: A Systematic Literature Review
Abstract These days, most people refer to user reviews to purchase an online product. Unfortunately, spammers exploited this situation to …