Zobrazeno 1 - 10
of 863
pro vyhledávání: '"Sanoussi A"'
Publikováno v:
Revue d’Elevage et de Médecine Vétérinaire des Pays Tropicaux, Vol 77 (2024)
Contexte : Une meilleure connaissance des caractéristiques des pâturages naturels est indispensable pour leur gestion durable. Objectif : Cette étude a été conduite dans la commune urbaine de Téra, pour caractériser les pâturages en vue d’u
Externí odkaz:
https://doaj.org/article/8015ff606255491cb49bd54f9a9674b7
Autor:
Maguy Daures, Jérémie Hien, Kevin Phelan, Harouna Boubacar, Sanoussi Atté, Mahamadou Aboubacar, Ahmad A. G. M. Aly, Baweye Mayoum, Jean-Claude Azani, Jean-Jacques Koffi, Benjamin Séri, Aurélie Beuscart, Delphine Gabillard, Victoire Hubert, Cécile Cazes, Moumouni Kinda, Xavier Anglaret, Suvi Kangas, Susan Shepherd, Renaud Becquet
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Simplified approaches of acute malnutrition (AM) treatment have been conducted over the past 5 years intending to unify processes and increase coverage among children aged 6 to 59 months without medical complication. The Optimsing
Externí odkaz:
https://doaj.org/article/dfa24f49c86f4e519f01a237b2ba4b9c
Autor:
Alassan, Mahaman Sanoussi Yahaya, Espejel, Jessica López, Bouhandi, Merieme, Dahhane, Walid, Ettifouri, El Hassane
Large Language Models (LLMs) have recently demonstrated remarkable performance in various Natural Language Processing (NLP) applications, such as sentiment analysis, content generation, and personalized recommendations. Despite their impressive capab
Externí odkaz:
http://arxiv.org/abs/2406.13713
Autor:
Espejel, Jessica López, Alassan, Mahaman Sanoussi Yahaya, Bouhandi, Merieme, Dahhane, Walid, Ettifouri, El Hassane
Large Language Models (LLMs) have become a popular choice for many Natural Language Processing (NLP) tasks due to their versatility and ability to produce high-quality results. Specifically, they are increasingly used for automatic code generation to
Externí odkaz:
http://arxiv.org/abs/2404.11160
Autor:
Chouham, El Mehdi, Espejel, Jessica López, Alassan, Mahaman Sanoussi Yahaya, Dahhane, Walid, Ettifouri, El Hassane
The field of programming has a diversity of paradigms that are used according to the working framework. While current neural code generation methods are able to learn and generate code directly from text, we believe that this approach is not optimal
Externí odkaz:
http://arxiv.org/abs/2307.04892
Autor:
Espejel, Jessica López, Alassan, Mahaman Sanoussi Yahaya, Chouham, El Mehdi, Dahhane, Walid, Ettifouri, El Hassane
Publikováno v:
Natural Language Processing Journal, Volume 3, 2023, 100013, ISSN 2949-7191
Java Code Generation consists in generating automatically Java code from a Natural Language Text. This NLP task helps in increasing programmers' productivity by providing them with immediate solutions to the simplest and most repetitive tasks. Code g
Externí odkaz:
http://arxiv.org/abs/2306.06371
Autor:
Espejel, Jessica López, Ettifouri, El Hassane, Alassan, Mahaman Sanoussi Yahaya, Chouham, El Mehdi, Dahhane, Walid
Large Language Models (LLMs) have exhibited remarkable performance on various Natural Language Processing (NLP) tasks. However, there is a current hot debate regarding their reasoning capacity. In this paper, we examine the performance of GPT-3.5, GP
Externí odkaz:
http://arxiv.org/abs/2305.12477
Autor:
Seydou B. Traore, Abdou Ali, Seydou H. Tinni, Mamadou Samake, Issa Garba, Issoufou Maigari, Agali Alhassane, Abdallah Samba, Maty Ba Diao, Sanoussi Atta, Pape Oumar Dieye, Hassan B. Nacro, Kouamé G.M. Bouafou
Publikováno v:
Weather and Climate Extremes, Vol 3, Iss C, Pp 22-30 (2014)
The AGRHYMET Regional Center, a specialized institution of the Permanent Interstates Committee for Drought Control in the Sahel (CILSS), was created in 1974 at the aftermaths of the severe droughts that affected this region in the early 1970s. The mi
Externí odkaz:
https://doaj.org/article/69737151fc874cb1840f12f71a8cbefe
Autor:
Espejel, Jessica López, Alassan, Mahaman Sanoussi Yahaya, Dahhane, Walid, Ettifouri, El Hassane
Publikováno v:
Espejel, J. L., Alassan, M. S. Y., Dahhane, W., & Ettifouri, E. H. (2023). JaCoText: A Pretrained Model for Java Code-Text Generation. International Journal of Computer and Systems Engineering, 17(2), 100-105
Pretrained transformer-based models have shown high performance in natural language generation task. However, a new wave of interest has surged: automatic programming language generation. This task consists of translating natural language instruction
Externí odkaz:
http://arxiv.org/abs/2303.12869
Autor:
López Espejel, Jessica, Yahaya Alassan, Mahaman Sanoussi, Bouhandi, Merieme, Dahhane, Walid, Ettifouri, El Hassane
Publikováno v:
In Engineering Applications of Artificial Intelligence 15 January 2025 140