Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Alex Thomo"'
Publikováno v:
Distributed and Parallel Databases. 40:335-372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3942980c4b0917337563934a49e57a9
https://doi.org/10.1007/s10619-022-07416-8
https://doi.org/10.1007/s10619-022-07416-8
Publikováno v:
Distributed and Parallel Databases. 40:299-333
Truss decomposition is a popular notion of hierarchical dense substructures in graphs. In a nutshell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6462b38ee4f9f3ef1180d9385f41f7f
https://doi.org/10.1007/s10619-022-07415-9
https://doi.org/10.1007/s10619-022-07415-9
Publikováno v:
Future Internet, Vol 7, Iss 2, Pp 110-139 (2015)
Quality web service discovery requires narrowing the search space from an overwhelming set of services down to the most relevant ones, while matching the consumer’s request. Today, the ranking of services only considers static attributes or snapsho
Externí odkaz:
https://doaj.org/article/9bbf4a7e80904f87a002f20b60a75ca1
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0db3dcd5cbb9a2e2226dd074f73a442b
https://doi.org/10.1109/bigdata55660.2022.10020422
https://doi.org/10.1109/bigdata55660.2022.10020422
Autor:
Li Xing, Alex Thomo, Fatemeh Esfahani, Venkatesh Srinivasan, Xiaojian Shao, Yang Guo, Xuekui Zhang
Publikováno v:
Briefings in Bioinformatics
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for millions of deaths around the world. To help contribute to the understanding of crucial knowledge and to further generate new hypotheses relevant to SARS-CoV-2 and hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e6493af6691e448ce6bf9eab0689125
https://nrc-publications.canada.ca/eng/view/object/?id=c8ad0ee9-d76b-41bc-a519-bfd08da42ae2
https://nrc-publications.canada.ca/eng/view/object/?id=c8ad0ee9-d76b-41bc-a519-bfd08da42ae2
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7755bd43916a43656364b0ed000c044e
https://doi.org/10.1109/asonam55673.2022.10068712
https://doi.org/10.1109/asonam55673.2022.10068712
Publikováno v:
2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::734fc2ed77f279369cd152ad624d5822
https://doi.org/10.1109/iisa56318.2022.9904350
https://doi.org/10.1109/iisa56318.2022.9904350
Publikováno v:
The Computer Journal.
We consider misinformation propagating through a social network and study the problem of its prevention. The goal is to identify a set of $k$ users that need to be convinced to adopt a limiting campaign so as to minimize the number of people that end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0f4a024e2a0ae4d0815d6eb5f01ff39
https://doi.org/10.1093/comjnl/bxac073
https://doi.org/10.1093/comjnl/bxac073
Publikováno v:
Proceedings of the VLDB Endowment. 13:2787-2800
We investigate the problem of building a suffix array substring index for inputs significantly larger than main memory. This problem is especially important in the context of biological sequence analysis, where biological polymers can be thought of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27d8f67fd151331bcdb608217be80977
https://doi.org/10.14778/3407790.3407861
https://doi.org/10.14778/3407790.3407861
Publikováno v:
The Computer Journal. 64:1343-1357
Algorithmic problem of computing the most influential nodes in an arbitrary graph (influence maximization) is an important theoretical and practical problem and has been extensively studied for decades. For massive graphs (e.g. modelling huge social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac1a3c7b94fea06fb9c9c5a271e077cb
https://doi.org/10.1093/comjnl/bxaa049
https://doi.org/10.1093/comjnl/bxaa049