Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Saebi, Mandana"'
The Ballast Water Management Convention can decrease the introduction risk of harmful aquatic organisms and pathogens, yet the Convention increases shipping costs and causes subsequent economic impacts. This paper examines whether the Convention gene
Externí odkaz:
http://arxiv.org/abs/2108.13315
The Mediterranean Sea is one of the most heavily invaded marine regions. This work focuses on the dynamics and potential policy options for ballast water-mediated nonindigenous species to the Mediterranean. Specifically, we (1) estimated port risks i
Externí odkaz:
http://arxiv.org/abs/2108.13237
High-quality automatic speech recognition (ASR) is essential for virtual assistants (VAs) to work well. However, ASR often performs poorly on VA requests containing named entities. In this work, we start from the observation that many ASR errors on n
Externí odkaz:
http://arxiv.org/abs/2106.11292
Autor:
Saebi, Mandana, Xu, Jian, Curasi, Salvatore R., Grey, Erin K., Chawla, Nitesh V., Lodge, David M.
Rapid climate change has wide-ranging implications for the Arctic region, including sea ice loss, increased geopolitical attention, and expanding economic activity, including a dramatic increase in shipping activity. As a result, the risk of harmful
Externí odkaz:
http://arxiv.org/abs/2009.12728
Path-based relational reasoning over knowledge graphs has become increasingly popular due to a variety of downstream applications such as question answering in dialogue systems, fact prediction, and recommender systems. In recent years, reinforcement
Externí odkaz:
http://arxiv.org/abs/2003.06050
Publikováno v:
Big Data 8, no. 4 (2020): 255-269
Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and as a result, has enjoyed considerable success in recent years. However, all the existing representation learning metho
Externí odkaz:
http://arxiv.org/abs/1908.05387
Autor:
Saebi, Mandana, Kreig, Steven, Zhang, Chuxu, Jiang, Meng, Kajdanowicz, Tomasz, Chawla, Nitesh V.
Publikováno v:
In Information Fusion December 2022 88:12-21
Publikováno v:
EPJ Data Sci., 9 1 (2020) 15
Complex systems, represented as dynamic networks, comprise of components that influence each other via direct and/or indirect interactions. Recent research has shown the importance of using Higher-Order Networks (HONs) for modeling and analyzing such
Externí odkaz:
http://arxiv.org/abs/1712.09658
Publikováno v:
In Journal of Environmental Management 1 January 2022 301
Autor:
Wang, Zhaojun, Saebi, Mandana, Grey, Erin K., Corbett, James J., Chen, Dong, Yang, Dong, Wan, Zheng
Publikováno v:
In Marine Pollution Bulletin January 2022 174