Publications (277)
ARTICLE
Neural Machine Translation for Mooré, a Low-Resource Language
Hamed Joseph Ouily, Aminata Sabane, Delwende Eliane Birba, Rodrique Kafando, Abdoul Kader Kabore, Tegawende F. Bissyandé
Natural Language Processing (NLP) is a field of artificial intelligence with the goal of enabling machines to understand human language. Neural Machine Translation (NMT) is one of the many applications of NLP and allows for the translation of a source language into a target language. NMT has made significant progress in recent years. However,(...)
Natural Language Processing, Neural Machine Translation, Low-ressource Lan- guage
ARTICLE
Voice Interaction in Moore Language Study on Isolated Word Recognition in Audio Samples
Moumini Kabore, Rodrique Kafando, Aminata Sabane, Abdoul Kader Kabore, Tégawendé F. Bissyande
This paper explores the optimization of telephone functionalities through voice interaction in the
Moore language, prevalent in Burkina Faso. Data gathered from 492 individuals in Ouagadougou,
representing diverse dialects and vocal intensities across age groups, informs the study. Employing
K-Nearest Neighbor (KNN), Random Forest (RF), and(...)
Isolated Word Recognition, RNN
ARTICLE
Fakipedia: Building and exploiting an AI model for detecting online fake news in Burkina Faso
Angelique Sidbewendin Yameogo, Aminata Sabané, Tégawendé F. Bissyandé, Rodrique Kafando, Abdoul-Kader Kabore
Misinformation poses a significant challenge, especially in developing countries with low literacy rates. The rapid spread on social media, coupled with their lack of robust verification mechanisms, makes distinguishing between credible and false information increasingly difficult. This document outlines our efforts to address this challenge i(...)
Fake News, Machine Learning, Text Classification, camemBERT, Artificial Intelligence
ARTICLE
Analyzing Bankruptcy Probability under Partial Shareholder Payments and Dependent Claims via Spearman Copula
Kiswendsida Mahamoudou Ouedraogo, Delwendé Abdoul-Kabir Kafando, Lassané Sawadogo, François Xavier Ouedraogo, Pierre Clovis Nitiema
This paper is an extension of the compound poisson risk model with a strategy of partial dividend payment to shareholders, constant threshold b and dependence between claim amounts and inter-claim times via the Spearman copula. We study the probability of ultimate ruin associated with this risk model.
Cet article est une extension du modèle d(...)
Gerber-Shiu Functions, Dependence, Spearman Copula, Dividends, Integro-Differential Equation
ARTICLE
AI-driven Generation of News Summaries Leveraging GPT and Pegasus Summarizer for Efficient Information Extraction
Issiaka Faissal Compaoré, Rodrique Kafando, Aminata Sabané, Abdoul Kader Kaboré, Tegawendé F. Bissyandé
The surge of online information makes it challenging to access relevant news quickly. This necessitates automated methods to effectively extract and summarize information. Our research focuses on designing an online press synthesis tool using advanced AI models. We investigate the feasibility of emp
Computer science, Information extraction, Automatic summarization, Extraction (chemistry), Information retrieval, Natural language generation, Artificial intelligence, Natural language processing, Natural language
ARTICLE
Special Issue of PPAP 2013: Preface
Surafel Lemma Abebe, Venera Arnaoudova, Laleh Mousavi Eshkevari, Aminata Sabané, Wei Wu
On the 5th of March, 2013, the first workshop on Patterns Promotion and Anti-patterns Prevention (PPAP 2013) took place in Genova, Italy. PPAP 2013 was co-located with the 17th European Conference on Software Maintenance and Reengineering (CSMR'2013), the premier European conference on the theory and practice of maintenance, reengineering and(...)
Business process reengineering, Computer science, Promotion (chess), Software engineering, Engineering, Political science, Operations management
COMMUNICATION
Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier
Micheline Benedicte Moumoula, Abdoul Kader Kabore, Jacques Klein, Tegawende F. Bissyande
Cross-lingual code clone detection has gained attention in softwaredevelopment due to the use of multiple programming languages.Recent advances in machine learning, particularly Large LanguageModels (LLMs), have motivated a reexamination of this problem.This paper evaluates the performance of four LLMs and eightprompts for detecting cross-ling(...)
Cross-Language Pairs, Code Clone Detection, Large LanguageModel, Prompt Engineering, Embedding Mode
ARTICLE
A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso
Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabané, Rodrique Kafando, Abdoul Kader Kaboré, Tegawendé F. Bissyandé
Groundwater serves as a valuable resource to supplement surface water, and its extensive utilization underscores the importance of precise groundwater level predictions. Burkina Faso confronts a critical challenge in the domain of sustainable groundwater resource management, underscoring the need for accurate forecasts of groundwater levels to(...)
Groundwater, Environmental science, Water resource management, Geography, Geology, Geotechnical engineering
COMMUNICATION
Study and design of a multi-user detection based radio platform in vehicular ad hoc networks
Pegdwindé Justin Kouraogo , Zbigniew Dziong, Mohamad Haidar, François Gagnon
In this work we study a system and mechanism designed to enhance the throughput and the packet delivery ratio of a multiuser detection based vehicular ad hoc network (VANET), in two radios channels models. The first models we take into account is the wideband multipath channel and the second a vehicular-to-vehicular radio channel. We have used(...)
VANET, Multiuser detection, SDR plateform, channel prédiction
COMMUNICATION
Automédication à l’ère du numérique: enquête auprès de la population de la ville de Ouagadougou (Burkina Faso)
RA YAMEOGO, L BERE, P ZABSONRE, N MEDA
Introduction : L’automédication est un phénomène fréquent avec des conséquences telle que l’émergence des résistances bactériennes. Cette tendance pourrait être en pleine croissance avec l’ère du numérique avec l’amélioration de l’accès à internet et aux informations. L’objet de notre étude était de décrire l’impact d’internet sur la pratique(...)
Automédication, internet, Antibiotiques, Anti-inflammatoires
COMMUNICATION
Speed and Interference Effect Analysis in Multiuser Detection Based Radio Platform for Vehicular Ad Hoc Network
Pegdwindé Justin Kouraogo, Zbigniew Dziong, Mohamad Haidar, François Gagnon
This work presents the performance evaluation of the cross-layer prediction framework in the context of ad hoc network mobility and multiple access interference. Node mobility influences the quality of channel prediction and, obviously, packet reception. It also leads to varying levels of interference, depending on the scenario used and the nu(...)
VANET, SDR plateform, multiuser detection, interference
ARTICLE
Measures To Enhance The Characterization Of Internet Exchange Points
Y. Dabone, T. F. Ouedraogo, O. Sie
The reliability of data transport on the Internet is one of the objectives of researchers in the field of computer science. Data such as videos and audio is becoming increasingly large. Therefore, transporting them over the Internet is becoming difficult. It has therefore been important to establish a method of locally interconnecting autonomo(...)
Characteristic, Autonomous System, Internet Service Provider, Internet eXchange Point
ARTICLE
Evaluating Acoustic Parameters for DeepFake Audio Identification
Albérick Euraste Djiré; Aminata Sabané; Abdoul-Kader Kabore; Rodrique Kafando; Tégawendé F. Bissyandé
The progress made in the field of machine learning applied to signal processing offers interesting perspectives in terms of technological evolution but also causes some troubles in terms of ethics and security. For example, we are witnessing the emergence of audio deepFakes used to orchestrate scams. However, although the tools used in the gen(...)
Deep learning, deepFake audio, Deepfakes, detection, Ethics, Mel frequency cepstral coefficient, mel-spectogram, MFCC, Reliability, Security
ARTICLE
Emergency Severity Index (ESI) a more suitable system for emergencies in Burkina Faso
Tougba Manegaouindé Roland, Zerbo Boureima, Guel, Désiré, Kouraogo Justin
The triage system an emergency department must prioritize the patients' needs above all else. Additionally, it enables improved care organization based on client type, institutional mission, and available resources. In order to conduct effective triage, the Orientation and Reception Nurse (ORN) should employ a reliable, valid, and reproducible(...)
Emergency Severity Index (ESI), ECG, SpO2, Healthcare, patient
COMMUNICATION
Enhancing Power Efficiency in NB-IoT Networks: PAPR Reduction in SC-FDMA
Désiré Guel, P. Justin Kouraogo, Boureima Zerbo, Modeste Dembele
NB-IoT, short for NarrowBand IoT, is a communication standard designed to enable the communication of a large number of connected objects over long distances. One of the research areas in NB-IoT systems is the Peak-to-Average Power Ratio (PAPR). NB-IoT, which is an extension of the LTE (Long Term Evolution) technology of 4G, uses the Single Ca(...)
Peak to Average Power Ratio (PAPR), Single-carrier FDMA (SC-FDMA), Narrowband { Internet of Things (NB-IoT) Networks