Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Scott Sanner"'
Publikováno v:
PeerJ Computer Science, Vol 8, p e991 (2022)
Twitter represents a massively distributed information source over topics ranging from social and political events to entertainment and sports news. While recent work has suggested this content can be narrowed down to the personalized interests of in
Externí odkaz:
https://doaj.org/article/f1c8f8c7beb941b2ab6d2c4a3519e691
Publikováno v:
ACM Transactions on the Web. 17:1-22
Social media platforms such as Twitter or StockTwits are widely used for sharing stock market opinions between investors, traders, and entrepreneurs. Empirically, previous work has shown that the content posted on these social media platforms can be
Autor:
Tongzi Wu, Yuhao Zhou, Wang Ling, Hojin Yang, Joana Veloso, Lin Sun, Ruixin Huang, Norberto Guimaraes, Scott Sanner
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:9894-9901
Recent advances in efficient planning in deterministic or stochastic high-dimensional domains with continuous action spaces leverage backpropagation through a model of the environment to directly optimize action sequences. However, existing methods t
Publikováno v:
ITSC
Traffic prediction is a spatiotemporal predictive task that plays an essential role in intelligent transportation systems. Today, graph convolutional neural networks (GCNNs) have become the prevailing models in the traffic prediction literature since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cb108ae79cb24803a46a54df57e8494
http://arxiv.org/abs/2305.19292
http://arxiv.org/abs/2305.19292
Publikováno v:
ACM Transactions on the Web.
Critiquing — where users propose directional preferences to attribute values — has historically been a highly popular method for conversational recommendation. However, with the growing size of catalogs and item attributes, it becomes increasingl
Publikováno v:
Machine Learning. 111:2537-2559
Publikováno v:
Neurocomputing. 469:28-51
Online continual learning for image classification studies the problem of learning to classify images from an online stream of data and tasks, where tasks may include new classes (class incremental) or data nonstationarity (domain incremental). One o
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031332708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807f245ecbaf9be8640f8a118ea5b243
https://doi.org/10.1007/978-3-031-33271-5_6
https://doi.org/10.1007/978-3-031-33271-5_6
Autor:
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2971bff2c1292a146d3a28b71e5b838
https://doi.org/10.1007/978-3-031-28244-7_1
https://doi.org/10.1007/978-3-031-28244-7_1