Published in Annales pharmaceutiques francaises
The aim of this work was to evaluate the impact of a teaching method in pharmacokinetics (PK) in terms of satisfaction and performance in the final test of students. This method consisted of the development of a practical problem and a peer-tutored solution by small groups of three or four students. Students enrolled in the second year of pharmaceu...
Los ensayos realizados durante las prácticas de laboratorio de las asignaturas de Ciencia, Tecnología e Ingeniería de Materiales en los Grados de Ingeniería Industrial e Ingeniería Aeroespacial de la Universidad de León, son desarrollados en laboratorios con un número limitado de equipos y con el apoyo de las explicaciones orales del profesor. En c...
In order to deploy robots that could be adapted by non-expert users, interactive imitation learning (IIL) methods must be flexible regarding the interaction preferences of the teacher and avoid assumptions of perfect teachers (oracles), while considering they make mistakes influenced by diverse human factors. In this work, we propose an IIL method ...
The objective of the study was to determine to what extent the model of active methodologies developed computational thinking in the infants of the Futuros Navegantes institution, Guayaquil 2021. Applied research was used with the quasi-experimental design, considering two groups of infants from the initial level 2, the first called control group w...
The purpose of this study is to review material from the scientific field of psychology and where appropriate adapt it to experiential and active learning classroom experiences. The study is conducted in order to meet the Swedish curriculum for gymnasium and the courses Psychology 1 and 2. The review includes scientific material in a range of forms...
Published in Journal of controlled release : official journal of the Controlled Release Society
Active learning (AL) has become a subject of active recent research both in industry and academia as an efficient approach for rapid design and discovery of novel chemicals, materials, and polymers. Herein, we have assessed the applicability of AL for the discovery of polymeric micelle formulations for poorly soluble drugs. We were motivated by the...
Sequential decision-making is a natural model for machine learning applications where the learner must make online decisions in real time and simultaneously learn from the sequential data to make better decisions in the future. Classical work has focused on variants of the problem based on the data distribution being either stochastic or adversaria...
Funder: DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation (3435) / Predictive coding models suggest that the brain constantly makes predictions about what will happen next based on past experiences. Learning is triggered by surprising events, i.e., a prediction error. Does it benefit learning when these predictions are made deli...
With recent deep learning advances in natural language processing, tasks such as relation extraction have been solved on benchmark data with near-perfect accuracy. However, in a realistic scenario, such as in a French newspaper company mostly dedicated to local information, relations are of varied, highly specific types, with virtually no data anno...
Published in Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Supervised deep learning has become a standard approach to solving medical image segmentation tasks. However, serious difficulties in attaining pixel-level annotations for sufficiently large volumetric datasets in real-life applications have highlighted the critical need for alternative approaches, such as semi-supervised learning, where model trai...
