Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hossam M. Hammady"'
Publikováno v:
Machine Learning. 102:465-482
We tackle the problem of automatically filtering studies while preparing Systematic Reviews (SRs) which normally entails manually inspecting thousands of studies to identify the few to be included. The problem is modeled as an imbalanced data classif
Autor:
Nan Tang, Zuhair Khayyat, Sanjay Chawla, Divy Agrawal, Sebastian Kruse, Mourad Ouzzani, Hossam M. Hammady, Lamine Ba, Mohammed J. Zaki, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Ahmed K. Elmagarmid, Laure Berti-Equille, Paolo Papotti, Yasser Idris
Publikováno v:
SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩
SIGMOD Conference
SIGMOD 2016-International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩
SIGMOD Conference
International audience; Many emerging applications, from domains such as healthcare and oil & gas, require several data processing systems for complex analytics. This demo paper showcases system, a framework that provides multi-platform task executio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c389238be4639823eda2eb8df2ef0e
https://hal.inria.fr/hal-01829075
https://hal.inria.fr/hal-01829075
Publikováno v:
WWW (Companion Volume)
Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16)
Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16), Apr 2016, Montréal, Canada. ⟨10.1145/2872518.2890536⟩
Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16)
Proceedings of the 25th International Conference Companion on World Wide Web (WWW '16), Apr 2016, Montréal, Canada. ⟨10.1145/2872518.2890536⟩
Social networks and the Web in general are characterized by multiple information sources often claiming conflicting data values. Data veracity is hard to estimate, especially when there is no prior knowledge about the sources or the claims and in tim
Publikováno v:
Qatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1.
Data Forensics with Analytics, or DAFNA for short, is an ambitious project initiated by the Data Analytics Research Group in Qatar Computing Research Institute, Hamad Bin Khalifa University. It main goal is to provide effective algorithms and tools f
Publikováno v:
Proceedings of the 2015 IEEE 31st International Conference on Data Engineering
Proceedings of the 2015 IEEE 31st International Conference on Data Engineering, Apr 2015, Seoul, South Korea
ICDE
Proceedings of the 2015 IEEE 31st International Conference on Data Engineering, Apr 2015, Seoul, South Korea
ICDE
In the Web, a massive amount of user-generated contents is available through various channels, e.g., texts, tweets, Web tables, databases, multimedia-sharing platforms, etc. Conflicting information, rumors, erroneous and fake contents can be easily s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe1552546453df6e8694c697f155ea9b
https://hal.inria.fr/hal-01855831
https://hal.inria.fr/hal-01855831
Autor:
Nan Tang, Hossam M. Hammady, Prasenjit Mitra, Mohamed Zaki, Laure Berti, Paolo Papotti, Si Yin, Mourad Ouzzani, Jorge Quiane Ruiz, Yin Ye, Divy Agrawal
Publikováno v:
Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1.
"The Data Analytics group at QCRI has embarked on an ambitious endeavor to become a premiere world-class research group in Data Science by tackling diverse research topics related to information extraction, data quality, data profiling, data integrat
Publikováno v:
2008 International Conference on Computer Engineering & Systems.
In this paper, we introduce a Hidden Markov Model (HMM) recognition system for the articulation features of Arabic phones. The low-level features are described by Mel-Frequency Cepstral Coefficients (MFCCs). The created HMMs directly model certain ar
Publikováno v:
Systematic Reviews
Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no