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pro vyhledávání: '"Elmasri, Ramez"'
Increasing utilization of machine learning based decision support systems emphasizes the need for resulting predictions to be both accurate and fair to all stakeholders. In this work we present a novel approach to increase a Neural Network model's fa
Externí odkaz:
http://arxiv.org/abs/2111.03638
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can
Externí odkaz:
http://arxiv.org/abs/1703.01006
Akademický článek
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We witness an unprecedented proliferation of knowledge graphs that record millions of entities and their relationships. While knowledge graphs are structure-flexible and content rich, they are difficult to use. The challenge lies in the gap between t
Externí odkaz:
http://arxiv.org/abs/1311.2100
Autor:
Taha Kamal, Elmasri Ramez
Publikováno v:
Journal of Integrative Bioinformatics, Vol 8, Iss 2, Pp 130-147 (2011)
Bioinformatics applications manage complex biological data stored into distributed and often heterogeneous databases and require large computing power. These databases are too big and complicated to be rapidly queried every time a user submits a quer
Externí odkaz:
https://doaj.org/article/20349af2ceef4e07ab2f3655b80492f2
Autor:
Poojitha Thota, Elmasri Ramez
Publikováno v:
PETRA
Over the past few years, the ubiquitous usage of internet to broadcast information worldwide, has proved to be one of the best methods in making people aware about their surroundings. This has also led towards storage of vast amount of data in user i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9330179c82911682815e0bc7dd25ece6
https://doi.org/10.1145/3453892.3461333
https://doi.org/10.1145/3453892.3461333
Publikováno v:
In Data & Knowledge Engineering 2005 54(1):57-76
Publikováno v:
Engineering Reports; Oct2021, Vol. 3 Issue 10, p1-38, 38p
Publikováno v:
ACM International Conference Proceeding Series; 6/30/2020, p1-8, 8p