With its increasing incidence and its five- year survival rate (9%), pancreatic cancer could be- come the third leading cause of cancer-related deaths by 2025. These figures are primarily attributed to late diagnoses, which limit therapeutic options. This the- sis aims to assist radiologists in diagnosing pancrea- tic cancer through artificial inte...
The research conducted in this thesis is centered on the domain of safe urban driving, employing sensor fusion and reinforcement learning methodologies for the perception and control of autonomous vehicles (AV). The evolution and widespread integration of machine learning technologies have primarily propelled the proliferation of autonomous vehicle...
In the context of Industry 4.0 and the Internet of Things (IoT), predictive maintenance has become vital for optimizing the performance and lifespan of electronic devices and equipment. This approach, reliant on extensive data analysis, stands on two pillars: anomaly detection and drift detection. Anomaly detection plays a crucial role in identifyi...
Flow cytometry (FCM) is one of a most popular techniques for biological cells analysis. It is widely used in immunology, where it permits to make advances in leukemia research for example. The principle of FCM is to measure fluorescence properties for each cell present in a volume of cells. FCM data analysis permit to identify and characterize cell...
This thesis aims to develop methodologies dedicated to improve the functionality of mobile robots to accomplish a mission, in particular the microwave electromagnetic characterization of materials in their environment. The success of this mission depends on precise navigation and accurate perception of the environment by the robots, a challenge tha...
Speech has always been a dominant mode of social connection and communication. However, speech processing and modeling have been challenging due to its variability. Classic speech technologies rely on cascade modeling, i.e. transcribing speech to text with an Automatic Speech Recognition (ASR) system, processing transcribed text using Natural Langu...
Machine learning and Deep learning-based technologies have gained widespread adoption, quickly displacing traditional artificially intelligent (AI) systems. Contemporary computers are remarkable in processing enormous amounts of personal data through these machine learning (ML) algorithms. However, this technological advancement brings along signif...
Many issues addressed by AI involve the classification of complex input data that needs to be separated into different classes. The functions that transform the complex input values into a simpler, linearly separable space are achieved either through learning (deep convolutional networks) or by projecting into a high-dimensional space to obtain a '...
La tâche d'annotation, nécessaire à l'entraînement d'assistants conversationnels, fait habituellement appel à des experts du domaine à modéliser. Toutefois, l'annotation de données est connue pour être une tâche difficile en raison de sa complexité et sa subjectivité : elle nécessite par conséquent de solides compétences analytiques dans le but de ...
Cardiovascular disease is the world’s leading cause of death. They represent a group of conditions that affect the heart and blood vessels, including coronary heart disease, heart failure, arrhythmias and valvular disease, among others. Ectopic arrhythmias, such as premature ventricular contractions (PVCs), involve abnormal electrical impulses that...
