Zobrazeno 1 - 10
of 1 824
pro vyhledávání: '"Marie Jean"'
Publikováno v:
Journal of Technology and Science Education, Vol 8, Iss 4, Pp 385-397 (2018)
This study examined the effects of using Microsoft Mathematics on students’ attitude, conceptual understanding, and procedural skills in Differential Calculus. A quasi-experimental research design was used in which two different learning environmen
Externí odkaz:
https://doaj.org/article/8112e2ae31d14fb5ac3baa14cb09394e
Autor:
Choudhry, Arjun, Khatri, Inder, Gupta, Pankaj, Gupta, Aaryan, Nicol, Maxime, Meurs, Marie-Jean, Vishwakarma, Dinesh Kumar
Named Entity Recognition (NER) is the task of identifying and classifying named entities in large-scale texts into predefined classes. NER in French and other relatively limited-resource languages cannot always benefit from approaches proposed for la
Externí odkaz:
http://arxiv.org/abs/2301.05220
Accurately predicting their future performance can ensure students successful graduation, and help them save both time and money. However, achieving such predictions faces two challenges, mainly due to the diversity of students' background and the ne
Externí odkaz:
http://arxiv.org/abs/2212.14682
Autor:
Maupomé, Diego, Rancourt, Fanny, Soulas, Thomas, Lachance, Alexandre, Meurs, Marie-Jean, Aleksandrova, Desislava, Dufour, Olivier Brochu, Pontes, Igor, Cardon, Rémi, Simard, Michel, Vajjala, Sowmya
This report summarizes the work carried out by the authors during the Twelfth Montreal Industrial Problem Solving Workshop, held at Universit\'e de Montr\'eal in August 2022. The team tackled a problem submitted by CBC/Radio-Canada on the theme of Au
Externí odkaz:
http://arxiv.org/abs/2212.13317
Autor:
Choudhry, Arjun, Gupta, Pankaj, Khatri, Inder, Gupta, Aaryan, Nicol, Maxime, Meurs, Marie-Jean, Vishwakarma, Dinesh Kumar
Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resources, like French, is still an open problem due to the lack of large, rob
Externí odkaz:
http://arxiv.org/abs/2212.03692
Acquiring training data to improve the robustness of dialog systems can be a painstakingly long process. In this work, we propose a method to reduce the cost and effort of creating new conversational agents by artificially generating more data from e
Externí odkaz:
http://arxiv.org/abs/2204.02546
Autor:
Maquet, Charles, Evrard, Mathieu, Laffouilhere, Thibaut Pressat, Lacassin, Marion, Nokovitch, Lara, Marie, Jean-Paul, Slama, Neil Ben, Crampon, Frederic, Deneuve, Sophie
Publikováno v:
In American Journal of Otolaryngology--Head and Neck Medicine and Surgery November-December 2024 45(6)
Autor:
Mou, Zeyang, Zheng, Zheng, Jian, Zhen, Antonini, Carlo, Josserand, Christophe, Thoraval, Marie-Jean
Compound drop impacting on a solid surface is of considerable importance in industrial applications, such as combustion, food industry, and drug encapsulation. An intriguing phenomenon associated with this process is the occurrence of singular jets t
Externí odkaz:
http://arxiv.org/abs/2112.05284