Search results for " learning"
showing 10 items of 5299 documents
Langage et Apprentissage en Interaction pour des Assistants Numériques Autonomes - Une Approche Développementale
2021
The rapid development of digital assistants (DA) opens the way to new modes of interaction. Some DA allows users to personalise the way they respond to queries, in particular by teaching them new procedures. This work proposes to use machine learning methods to enrich the linguistic and procedural generalisation capabilities of these systems. The challenge is to reconcile rapid learning skills, necessary for a smooth user experience, with a sufficiently large generalisation capacity. Though this is a natural human ability, it remains out-of-reach for artificial systems and this leads us to approach these issues from the perspective of developmental Artificial Intelligence. This work is thus…
Development of handcrafted and deep based methods for face and facial expression recognition
2021
The research objectives of this thesis concern the development of new concepts for image segmentation and region classification for image analysis. This involves implementing new descriptors, whether color, texture, or shape, to characterize regions and propose new deep learning architectures for the various applications linked to facial analysis. We restrict our focus on face recognition and person-independent facial expressions classification tasks, which are more challenging, especially in unconstrained environments. Our thesis lead to the proposal of many contributions related to facial analysis based on handcrafted and deep architecture.We contributed to face recognition by an effectiv…
Artificial intelligence for image-guided prostate brachytherapy procedures
2020
Radiotherapy procedures aim at exposing cancer cells to ionizing radiation. Permanently implanting radioactive sources near to the cancer cells is a typical technique to cure early-stage prostate cancer. It involves image acquisition of the patient, delineating the target volumes and organs at risk on different medical images, treatment planning, image-guided radioactive seed delivery, and post-implant evaluation. Artificial intelligence-based medical image analysis can benefit radiotherapy procedures. It can help to facilitate and improve the efficiency of the procedures by automatically segmenting target organs and extrapolating clinically relevant information. However, manual delineation…
Computer-aided-diagnosis for ocular abnormalities from a single color fundus photography with deep learning
2023
Any damage to the retina can lead to severe consequences like blindness. This visual impairment is preventable by early detection of ocular abnormalities. Computer-aided diagnosis (CAD) for ocular abnormalities is built by analyzing retinal imaging modalities, for instance, Color Fundus Photography (CFP). The main objectives of this thesis are to build two CAD models, one to detect the microaneurysms (MAs), the first visible symptom of diabetic retinopathy, and the other for multi-label detection of 28 ocular abnormalities consisting of frequent and rare abnormalities from a single CFP by using deep learning-based approaches. Two methods were proposed for MAs detection: ensemble-based and c…
Localisation visuelle basée sur la reconnaissance du lieu dans les environnements changeants
2017
In many applications, it is crucial that a robot or vehicle localizes itself within the world especially for autonomous navigation and driving. The goal of this thesis is to improve place recognition performance for visual localization in changing environment. The approach is as follows: in off-line phase, geo-referenced images of each location are acquired, features are extracted and saved. While in the on-line phase, the vehicle localizes itself by identifying a previously-visited location through image or sequence retrieving. However, visual localization is challenging due to drastic appearance and illumination changes caused by weather conditions or seasonal changing. This thesis addres…
Educación Física bilingüe y pedagogía crítica: una aplicación basada en el Judo
2015
Considering the impact that the introduction of Content and Language Integrated Learning (CLIL) is having in Europe, this paper presents a model of application for Physical Education in English. This model improves particularly the acquisition of a foreign language and proposes at the same time a comprehensive learning scenario based on the principles of the critical pedagogy. From the 4Cs framework of CLIL methodology («content», «communication», «culture» and «cognition») the paper offers an in-depth reflection on the possibilities of introducing the critical pedagogy approach to Physical Education, thus increasing its educational potential. First, we argue about the links between critica…
Tecnhiques for sentiment analysis in Twitter: Supervised Learning and SentiStrength
2017
[EN] Sentiment analysis on Twitter offers possibilities of great interest to evaluate the currents of opinion disseminated through this medium. The huge volumes of texts require tools able to automatically process these messages without losing reliability. This paper describes two different types of approaching this problem. The first strategy is based on Supervised Learning processes, developed in the field of artificial intelligence. Its application requires some tools from natural language processing along with a classifed corpus as a starting point. The second approach is based on polarity dictionaries. SentiStrength tool is located in this line. It is increasingly applied to studies of…
Aprendizaje basado en proyectos para el desarrollo de las competencias profesionales del maestro: una propuesta de innovación docente desde la Didáct…
2015
Producción Científica
Evaluación de las actividades realizadas mediante la metodología de Aprendizaje Basado en Problemas
2020
[ES] La metodología de Aprendizaje Basado en Problemas (ABP) requiere un enfoque de evaluación en el que se evalúen una serie de competencias específicas y transversales. Esta evaluación debe de tener un carácter formativo que permita a los estudiantes identificar y corregir los errores a tiempo. Por lo tanto, es necesario disponer de herramientas para poder evaluar apropiadamente los resultados de aprendizaje y las competencias establecidas. En la asignatura de Corrosión de segundo de Máster de Ingeniería Química, el ABP se ha evaluado a través de un informe a entregar tras cada sesión de ABP, en donde se recogen las principales conclusiones tras la resolución cooperativa del problema plan…
Introducción de metodologías de aprendizaje basado en problemas mediante tecnologías multimedia
2014
La propuesta de trabajar por competencias en lugar de hacerlo como se hacía tradicionalmente, por objetivos, ha hecho proliferar las propuestas y alternativas metodológicas para favorecer un cambio en la Educación Superior. Una de estas metodologías es el aprendizaje basado en problemas (ABP). El ABP es una metodología de aprendizaje en la cual el punto de partida es un problema construido por el profesor que permite al estudiante identificar necesidades para comprender mejor ese problema, identificar principios que sustentan el conocimiento y cumplir objetivos de aprendizaje relacionados con cada porción del contenido de la materia. En el caso de las tecnologías de la información y las com…