Zobrazeno 1 - 10
of 680
pro vyhledávání: '"Sourav S Bhowmick"'
Publikováno v:
Data Science and Engineering, Vol 4, Iss 3, Pp 208-222 (2019)
Abstract We propose a novel way of utilizing and accessing information stored in news archives as well as a new style of investigating the history. Our idea is to automatically generate similar entity pairs given two sets of entities, one from the pa
Externí odkaz:
https://doaj.org/article/76306a8fb7124d60b74243a67f0940b5
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:1288-1300
Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM, which is NP-hard, is to select a set of k users known as seed users who can influence the most individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2d8ae600514f208845894f5397f769b
https://doi.org/10.1109/tcss.2022.3164667
https://doi.org/10.1109/tcss.2022.3164667
Autor:
Alicia M. Goodwill, Li Tong Low, Peter T. Fox, P. Mickle Fox, Kenneth K. Poon, Sourav S. Bhowmick, S. H. Annabel Chen
Publikováno v:
Brain Imaging and Behavior. 17:257-269
Social and non-social deficits in autism spectrum disorders (ASD) persist into adulthood and may share common regions of aberrant neural activations. The current meta-analysis investigated activation differences between ASD and neurotypical controls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb8ed1c44e81c6f1998d6a77ca4175e
https://doi.org/10.1007/s11682-022-00754-2
https://doi.org/10.1007/s11682-022-00754-2
Autor:
Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Sourav S. Bhowmick, Changlong Sun, Conghui Zhu, Tiejun Zhao
Publikováno v:
Neural Computing and Applications. 34:16367-16385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa096f33b8ef154121b5104ad4b626f8
https://doi.org/10.1007/s00521-022-07588-5
https://doi.org/10.1007/s00521-022-07588-5
Publikováno v:
Proceedings of the VLDB Endowment. 15:3602-3605
The database systems course is offered in many major universities. A key learning goal of learners taking such a course is to understand how sql queries are processed in an RDBMS in practice. To this end, comprehension of the impact of various physic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1983dcb6e2fe148b598bc43cbee94754
https://doi.org/10.14778/3554821.3554854
https://doi.org/10.14778/3554821.3554854
Publikováno v:
Proceedings of the VLDB Endowment. 15:3650-3653
Sketching is a common approach to visually query time series data. However, a recent study reported that sketching a pattern for querying is "often ineffective on its own" in practice due to lack of "representative objects" to facilitate bottom-up se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3819243398e7fc065f440f7fd367726
https://doi.org/10.14778/3554821.3554866
https://doi.org/10.14778/3554821.3554866
Publikováno v:
ACM SIGMOD Record. 51:42-49
Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v 2 G to a compact vector Xv, which can be used in downstream machine learning tasks in a variety of applications. Existing ANE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b992dd3e0f87ea27bd32efb72a44631
https://doi.org/10.1145/3542700.3542711
https://doi.org/10.1145/3542700.3542711
Publikováno v:
Data Science and Engineering. 7:175-191
Graph query autocompletion (GQAC) takes a user’s graph query as input and generates top-k query suggestions as output, to help alleviate the verbose and error-prone graph query formulation process in a visual interface. To compose a target query wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d21bc069bfefc767af68427632c401
https://doi.org/10.1007/s41019-022-00182-8
https://doi.org/10.1007/s41019-022-00182-8
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:1149-1163
Time-series shapelets are discriminative subsequences, recently found effective for time series classification (tsc). It is evident that the quality of shapelets is crucial to the accuracy of tsc. However, major research has focused on building accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c65d02ebd43c250b7940888126ebf3ad
https://doi.org/10.1109/tkde.2020.2995870
https://doi.org/10.1109/tkde.2020.2995870
Publikováno v:
The VLDB Journal.
Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v in G to a compact vector Xv, which can be used in downstream machine learning tasks. Ideally, Xv should capture node v's affin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b24b926ec760a3b57fc166f321fcd60
https://doi.org/10.1007/s00778-023-00790-4
https://doi.org/10.1007/s00778-023-00790-4