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pro vyhledávání: '"Kim, Hyunju"'
The success of a specific neural network architecture is closely tied to the dataset and task it tackles; there is no one-size-fits-all solution. Thus, considerable efforts have been made to quickly and accurately estimate the performances of neural
Externí odkaz:
http://arxiv.org/abs/2403.12821
Autor:
Kim, Hyunju, Lee, Dongman
In ambient assisted living, human activity recognition from time series sensor data mainly focuses on predefined activities, often overlooking new activity patterns. We propose CLAN, a two-tower contrastive learning-based novelty detection framework
Externí odkaz:
http://arxiv.org/abs/2401.10288
Human activity recognition (HAR) is a key challenge in pervasive computing and its solutions have been presented based on various disciplines. Specifically, for HAR in a smart space without privacy and accessibility issues, data streams generated by
Externí odkaz:
http://arxiv.org/abs/2312.00404
A directed hypergraph, which consists of nodes and hyperarcs, is a higher-order data structure that naturally models directional group interactions (e.g., chemical reactions of molecules). Although there have been extensive studies on local structure
Externí odkaz:
http://arxiv.org/abs/2311.14289
Hypergraphs naturally represent group interactions, which are omnipresent in many domains: collaborations of researchers, co-purchases of items, and joint interactions of proteins, to name a few. In this work, we propose tools for answering the follo
Externí odkaz:
http://arxiv.org/abs/2310.15668
Simplicial complexes are higher-order combinatorial structures which have been used to represent real-world complex systems. In this paper, we concentrate on the local patterns in simplicial complexes called simplets, a generalization of graphlets. W
Externí odkaz:
http://arxiv.org/abs/2302.05505
Autor:
Chen, Jing, Cohen, Debbie L., Feldman, Harold I., Go, Alan S., Lash, James P., Nelson, Robert G., Rahman, Mahboob, Rao, Panduranga S., Shah, Vallabh O., Unruh, Mark L., Amir, Saira, Kim, Hyunju, Hu, Emily A., Ricardo, Ana C., Mills, Katherine T., He, Jiang, Fischer, Michael J., Pradhan, Nishigandha, Tan, Thida C., Navaneethan, Sankar D., Dobre, Mirela, Anderson, Cheryl A.M., Appel, Lawrence J., Rebholz, Casey M.
Publikováno v:
In American Journal of Kidney Diseases May 2024 83(5):624-635
Autor:
Bernard, Lauren, Chen, Jingsha, Kim, Hyunju, Wong, Kari E., Steffen, Lyn M., Yu, Bing, Boerwinkle, Eric, Levey, Andrew S., Grams, Morgan E., Rhee, Eugene P., Rebholz, Casey M.
Publikováno v:
In Kidney Medicine April 2024 6(4)
Publikováno v:
In Journal of Environmental Management March 2024 355
Autor:
Shen, Xinyi, Tilves, Curtis, Kim, Hyunju, Tanaka, Toshiko, Spira, Adam P, Chia, Chee W, Talegawkar, Sameera A., Ferrucci, Luigi, Mueller, Noel T
Publikováno v:
In The American Journal of Clinical Nutrition March 2024 119(3):628-638