Zobrazeno 1 - 10
of 5 121
pro vyhledávání: '"Baillargeon, A."'
Human-Computer Interaction (HCI) and Computer Supported Collaborative Work (CSCW) have a longstanding tradition of interrogating the values that underlie systems in order to create novel and accessible experiences. In this work, we use a neurodiversi
Externí odkaz:
http://arxiv.org/abs/2410.15527
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Social scientists from different disciplines have long argued that direct reciprocity plays an important role in regulating social interactions between unrelated individuals. Here, we examine whether 15-month-old infants (N = 160) already ex
Externí odkaz:
https://doaj.org/article/693b73ad387f400ba5c24d215db5803f
Autor:
Mohamed Reda Fazazi, Prenitha Mercy Ignatius Arokia Doss, Resel Pereira, Neva Fudge, Aryan Regmi, Charles Joly-Beauparlant, Irshad Akbar, Asmita Pradeep Yeola, Benoit Mailhot, Joanie Baillargeon, Philippe Grenier, Nicolas Bertrand, Steve Lacroix, Arnaud Droit, Craig S. Moore, Olga L. Rojas, Manu Rangachari
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract B cells and T cells collaborate in multiple sclerosis (MS) pathogenesis. IgH[MOG] mice possess a B cell repertoire skewed to recognize myelin oligodendrocyte glycoprotein (MOG). Here, we show that upon immunization with the T cell-obligate a
Externí odkaz:
https://doaj.org/article/03e8ecf578cd4ef3913cc229d2858241
Classification algorithms using Transformer architectures can be affected by the sequence length learning problem whenever observations from different classes have a different length distribution. This problem causes models to use sequence length as
Externí odkaz:
http://arxiv.org/abs/2212.08399
Recurrent neural networks are deep learning topologies that can be trained to classify long documents. However, in our recent work, we found a critical problem with these cells: they can use the length differences between texts of different classes a
Externí odkaz:
http://arxiv.org/abs/2212.08276
This paper introduces the Beer2Vec model that allows the most popular alcoholic beverage in the world to be encoded into vectors enabling flavorful recommendations. We present our algorithm using a unique dataset focused on the analysis of craft beer
Externí odkaz:
http://arxiv.org/abs/2208.04223
Autor:
Abdelgadir, Omer, Hussain, Maryam R., Polychronopoulou, Efstathia, Tsilidis, Konstantinos K., Alzweri, Laith, Villasante-Tezanos, Alejandro, Baillargeon, Jacques, Canfield, Steven, Kuo, Yong-Fang, Lopez, David S.
Publikováno v:
In Cancer Epidemiology October 2024 92
Autor:
Zhou, Fangyue, Wu, Jiaying, Wang, Lulu, Hao, Yanhui, Zhang, Chen, Liu, Han, Li, Cheng, Booij, Linda, Herba, Catherine M., Ouyang, Fengxiu, Xu, Jian, Marc, Isabelle, Bouchard, Luigi, Abdelouahab, Nadia, Fan, Jianxia, Baillargeon, Jean-Patrice, Fraser, William D., Wu, Yanting, Huang, Hefeng
Publikováno v:
In Asian Journal of Psychiatry October 2024 100
Autor:
Dasgupta, Arijit, Duan, Jiafei, Ang Jr, Marcelo H., Lin, Yi, Wang, Su-hua, Baillargeon, Renée, Tan, Cheston
Recent work in computer vision and cognitive reasoning has given rise to an increasing adoption of the Violation-of-Expectation (VoE) paradigm in synthetic datasets. Inspired by infant psychology, researchers are now evaluating a model's ability to l
Externí odkaz:
http://arxiv.org/abs/2111.08826
Publikováno v:
In Preventive Medicine August 2024 185