Conditional reduction of the loss value versus reinforcement learning for biassing a de-novo drug design generator [PDF]
Journal of Cheminformatics, 2022 Deep learning has demonstrated promising results in de novo drug design. Often, the general pipeline consists of training a generative model (G) to learn the building rules of valid molecules, then using a biassing technique such as reinforcement ...
Mohamed-Amine Chadi +2 more
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The Acquisition of Noun and Verb Categories by Bootstrapping From a Few Known Words: A Computational Model [PDF]
Frontiers in Psychology, 2021 While many studies have shown that toddlers are able to detect syntactic regularities in speech, the learning mechanism allowing them to do this is still largely unclear.
Perrine Brusini +4 more
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Vital Signs Prediction for COVID-19 Patients in ICU [PDF]
Sensors, 2021 This study introduces machine learning predictive models to predict the future values of the monitored vital signs of COVID-19 ICU patients. The main vital sign predictors include heart rate, respiration rate, and oxygen saturation.
Ahmed Youssef Ali Amer +14 more
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Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology [PDF]
Sensors, 2020 In this prospective, interventional, international study, we investigate continuous monitoring of hospitalised patients’ vital signs using wearable technology as a basis for real-time early warning scores (EWS) estimation and vital signs time-series ...
Ahmed Youssef Ali Amer +10 more
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Funded investments contributed to the reduction of malaria morbidity and mortality in children under five: fifteen years retrospective study from 2009 to 2023 in Burkina Faso [PDF]
Malaria JournalBackground Many countries worldwide, particularly those in sub-Saharan Africa, suffer from malaria burden, both mortality and morbidity. Multiple funding agencies are investing to improve the health of populations. The aim of this study was to assess the
Edouard A. Akotionga +13 more
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Proposition et évaluation d’un programme d’enseignement de l’informatique basé sur le modèle STEAM pour les élèves du primaire [PDF]
ITM Web of Conferences, 2021 Le développement de l’intelligence numérique va profondément modifier aussi bien notre marché du travail que notre enseignement. Pour s’adapter à une telle situation, la généralisation d’un modèle d’enseignement basé sur la théorie STEAM (Sciences ...
Elmahni Lahoussine +5 more
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Anisotropic problem with non-local boundary conditions and measure data
Cubo, 2021 We study a nonlinear anisotropic elliptic problem with non-local boundary conditions and measure data. We prove an existence and uniqueness result of entropy solution.
A. Kaboré, S. Ouaro
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Object grammars and random generation [PDF]
Discrete Mathematics & Theoretical Computer Science, 1998 This paper presents a new systematic approach for the uniform random generation of combinatorial objects. The method is based on the notion of object grammars which give recursive descriptions of objects and generalize context-freegrammars.
I. Dutour, Jean-Marc Fedou
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Informatique et sciences numériques [PDF]
L’annuaire du Collège de France, 2020 Enseignement Cours et seminaires – Algorithmes Le cours a presente un panorama de methodes pour la conception et l’analyse d’algorithmes, en mettant l’accent sur les techniques probabilistes et l’importance de l’alea, et avec une organisation guidee par des exemples concrets tires de domaines divers.
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La dengue, maladie complexe [PDF]
Natures Sciences Sociétés, 2015 La dengue est une infection virale à transmission vectorielle qui touche, pour l’instant, essentiellement les pays de la zone tropicale et subtropicale.
Daudé Éric, Vaguet Alain, Paul Richard
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