Traitement Automatique du Langage : Études et apports aux frontières de l’interdisciplinarité
Assessment of supervised classifiers for the task of detecting messages with suicidal ideation.
Published in Heliyon
According to the World Health Organization (WHO) close to 800,000 people worldwide die by suicide each year, and many more attempts to do it. In consequence, the WHO recognizes suicide as a global public health priority, which affects not only rich countries but poor and middle-income countries as well. This study makes a systematic analysis of 28 ...
Artificial intelligence and neuropsychological measures: The case of Alzheimer's disease.
Published in Neuroscience and biobehavioral reviews
One of the current challenges in the field of Alzheimer's disease (AD) is to identify patients with mild cognitive impairment (MCI) that will convert to AD. Artificial intelligence, in particular machine learning (ML), has established as one of more powerful approach to extract reliable predictors and to automatically classify different AD phenotyp...
Deep learning-based rapid recognition of oasis-desert ecotone plant communities using UAV low-altitude remote-sensing da...
Published in Environmental Earth Sciences
The oasis-desert ecotone plant community is a protective barrier for an oasis. With the continuous expansion of oasis ecosystems and gradual increases in the intensity of human activities, the degradation of plant communities in oasis-desert ecotones has become increasingly prominent. Timely and accurate detection of such degradation is a prerequis...
Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches
Published in Journal of Data and Information Science
PurposeWith more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for S...
Détection non-supervisée de motifs dans les partitions musicales manuscrites
Cette thèse s'inscrit dans le contexte de la fouille de données appliquées aux partitions musicales manuscrites anciennes et vise une recherche de motifs mélodiques ou rythmiques fréquents définis comme des séquences de notes répétitives aux propriétés caractéristiques. On rencontre un grand nombre de déclinaisons possibles de motifs : les transpos...
Analyse de questions d’apprenants et de profils associés dans des environnements en ligne
Les questions des élèves sont utiles pour leur apprentissage et l'adaptation pédagogique des enseignants. Cependant, le volume de questions posées en ligne par les étudiants peut empêcher les enseignants de traiter chaque question (e.g. MOOC ou large cohorte universitaire). Nous abordons cette problématique principalement dans le cadre d’une format...
Machine learning algorithms can classify outdoor terrain types during running using accelerometry data
BACKGROUND: Running is a popular physical activity that benefits health; however, running surface characteristics may influence loading impact and injury risk. Machine learning algorithms could automatically identify running surface from wearable motion sensors to quantify running exposures, and perhaps loading and injury risk for a runner. RESEARC...
Auto -Organiser Neural Network Application for Ultrasound Computed Tomographic Image Classification
Image classification still be a crucial topic of interest in the field of medical imaging diagnostic. In this paper, we have used a new Ultrasonic Computed Tomography (USCT) prototype giving us USCT bone images. However, given images are difficult to interpret and to classify. As a solution, an Auto Organiser Neural Network has been proposed to cla...
Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in Fran...
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveillance based on medical causes of death in free-text format. Reactive mortality surveillance is based...
