Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Hu, Xiaohua Tony"'
Introduces HIVE-4-MAT - Helping Interdisciplinary Vocabulary Engineering for Materials Science, an automatic linked data ontology application. Covers contextual background for materials science, shared ontology infrastructures, and reviews the knowle
Externí odkaz:
http://arxiv.org/abs/2101.07960
Publikováno v:
In Methods 1 November 2016 110:3-13
Akademický článek
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Autor:
Pfeifer, Bastian, Voicu-Spineanu, Andrei, Schimek, Michael G, Alachiotis, Nikolaos, Huang, Yufei, Kurgan, Lukasz, Luo, Feng, Hu, Xiaohua Tony, Chen, Yidong, Dougherty, Edward, Kloczkowski, Andrzej, Li, Yaohang
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 720-725
STARTPAGE=720;ENDPAGE=725;TITLE=2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
STARTPAGE=720;ENDPAGE=725;TITLE=2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Multi-omics clustering methods are used for the stratification of patients into sub-groups of similar molecular characteristics. In recent years, a wide range of methods has been developed for this purpose. However, due to the high diversity of cance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26c345acb305e0327a0d6b60b2be5cdc
https://research.utwente.nl/en/publications/e72cbbbf-f763-45ab-86bf-2d948df3cb9f
https://research.utwente.nl/en/publications/e72cbbbf-f763-45ab-86bf-2d948df3cb9f
Autor:
Karim, Md Rezaul, Dohmen, Till, Cochez, Michael, Beyan, Oya, Rebholz-Schuhmann, Dietrich, Decker, Stefan, Park, Taesung, Cho, Young-Rae, Hu, Xiaohua Tony, Yoo, Illhoi, Woo, Hyun Goo, Wang, Jianxin, Facelli, Julio, Nam, Seungyoon, Kang, Mingon
Publikováno v:
BIBM
Karim, M R, Dohmen, T, Cochez, M, Beyan, O, Rebholz-Schuhmann, D & Decker, S 2021, DeepCOVIDExplainer : Explainable COVID-19 Diagnosis from Chest X-ray Images . in T Park, Y-R Cho, X T Hu, I Yoo, H G Woo, J Wang, J Facelli, S Nam & M Kang (eds), 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : [Proceedings] ., 9313304, Proceedings-IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Institute of Electrical and Electronics Engineers Inc., pp. 1034-1037, 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual, Seoul, Korea, Republic of, 16/12/20 . https://doi.org/10.1109/BIBM49941.2020.9313304
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM): [Proceedings], 1034-1037
STARTPAGE=1034;ENDPAGE=1037;TITLE=2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Karim, M R, Dohmen, T, Cochez, M, Beyan, O, Rebholz-Schuhmann, D & Decker, S 2021, DeepCOVIDExplainer : Explainable COVID-19 Diagnosis from Chest X-ray Images . in T Park, Y-R Cho, X T Hu, I Yoo, H G Woo, J Wang, J Facelli, S Nam & M Kang (eds), 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) : [Proceedings] ., 9313304, Proceedings-IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Institute of Electrical and Electronics Engineers Inc., pp. 1034-1037, 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual, Seoul, Korea, Republic of, 16/12/20 . https://doi.org/10.1109/BIBM49941.2020.9313304
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM): [Proceedings], 1034-1037
STARTPAGE=1034;ENDPAGE=1037;TITLE=2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
In this paper1, we proposed an explainable deep neural networks (DNN)-based method for automatic detection of COVID-19 symptoms from chest radiography (CXR) images, which we call 'DeepCOVIDExplainer'. We used 15,959 CXR images of 15,854 patients, cov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1751514e68222255c092c2b41f585843
https://research.vu.nl/en/publications/523c33a0-7c0f-4fa3-8ac2-cfc8af93cd57
https://research.vu.nl/en/publications/523c33a0-7c0f-4fa3-8ac2-cfc8af93cd57
Autor:
Liu, Keling, Wu, Wenting, Zhang, Qiaozhen, Cai, Kun, Zhang, Le, Huang, Yufei, Kurgan, Lukasz, Luo, Feng, Hu, Xiaohua Tony, Chen, Yidong, Dougherty, Edward, Kloczkowski, Andrzej, Li, Yaohang
Publikováno v:
Proceedings-2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, 994-1001
STARTPAGE=994;ENDPAGE=1001;TITLE=Proceedings-2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
STARTPAGE=994;ENDPAGE=1001;TITLE=Proceedings-2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
As an acute zoonosis, rabies has a fatality rate of nearly 100%. Since rabies surveillance data over the years show that the rabies epidemic areas in China expand from southern provinces to central and northern provinces, we selected Hubei Province,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a25d88223fd4339b8a01cdfba96cb6
https://doi.org/10.1109/bibm52615.2021.9669837
https://doi.org/10.1109/bibm52615.2021.9669837
Autor:
Das, Roshan Bharath, Makkes, Marc X., Uta, Alexandru, Wang, Lin, Bal, Henri, Baru, Chaitanya, Huan, Jun, Khan, Latifur, Hu, Xiaohua Tony, Ak, Ronay, Tian, Yuanyuan, Barga, Roger, Zaniolo, Carlo, Lee, Kisung, Ye, Yanfang Fanny
Publikováno v:
2019 IEEE International Conference on Big Data (Big Data): [Proceedings], 441-448
STARTPAGE=441;ENDPAGE=448;TITLE=2019 IEEE International Conference on Big Data (Big Data)
IEEE BigData
Das, R B, Makkes, M X, Uta, A, Wang, L & Bal, H 2020, Aves : A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), 2019 IEEE International Conference on Big Data (Big Data) : [Proceedings] ., 9005607, Institute of Electrical and Electronics Engineers Inc., pp. 441-448, 2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9005607
STARTPAGE=441;ENDPAGE=448;TITLE=2019 IEEE International Conference on Big Data (Big Data)
IEEE BigData
Das, R B, Makkes, M X, Uta, A, Wang, L & Bal, H 2020, Aves : A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), 2019 IEEE International Conference on Big Data (Big Data) : [Proceedings] ., 9005607, Institute of Electrical and Electronics Engineers Inc., pp. 441-448, 2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9005607
Today's low-power devices, such as smartphones and wearables, form a very heterogeneous ecosystem. Applications in such a system typically follow a reactive pattern based on stream analytics, i.e., sensing, processing, and actuating. Despite the simp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659d21582d631572f524bb8703b0a95b
https://research.vu.nl/en/publications/5db51c15-6a70-47d9-951f-79c9c2137a60
https://research.vu.nl/en/publications/5db51c15-6a70-47d9-951f-79c9c2137a60
Autor:
Luthra, Manisha, Hennig, Sebastian, Razavi, Kamran, Wang, Lin, Koldehofe, Boris, Wu, Xintao, Jermaine, Chris, Xiong, Li, Hu, Xiaohua Tony, Kotevska, Olivera, Lu, Siyuan, Xu, Weijia, Aluru, Srinivas, Zhai, Chengxiang, Al-Masri, Eyhab, Chen, Zhiyuan, Saltz, Jeff
Publikováno v:
Proceedings of the 2020 IEEE International Conference on Big Data, 1964-1973
STARTPAGE=1964;ENDPAGE=1973;TITLE=Proceedings of the 2020 IEEE International Conference on Big Data
Luthra, M, Hennig, S, Razavi, K, Wang, L & Koldehofe, B 2021, Operator as a Service: Stateful Serverless Complex Event Processing . in X Wu, C Jermaine, L Xiong, X T Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), 2020 IEEE International Conference on Big Data (Big Data) : [Proceedings] ., 9378142, Institute of Electrical and Electronics Engineers Inc., pp. 1964-1973, 8th IEEE International Conference on Big Data, Big Data 2020, Virtual, Atlanta, United States, 10/12/20 . https://doi.org/10.1109/BigData50022.2020.9378142
2020 IEEE International Conference on Big Data (Big Data): [Proceedings], 1964-1973
STARTPAGE=1964;ENDPAGE=1973;TITLE=2020 IEEE International Conference on Big Data (Big Data)
IEEE BigData
STARTPAGE=1964;ENDPAGE=1973;TITLE=Proceedings of the 2020 IEEE International Conference on Big Data
Luthra, M, Hennig, S, Razavi, K, Wang, L & Koldehofe, B 2021, Operator as a Service: Stateful Serverless Complex Event Processing . in X Wu, C Jermaine, L Xiong, X T Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), 2020 IEEE International Conference on Big Data (Big Data) : [Proceedings] ., 9378142, Institute of Electrical and Electronics Engineers Inc., pp. 1964-1973, 8th IEEE International Conference on Big Data, Big Data 2020, Virtual, Atlanta, United States, 10/12/20 . https://doi.org/10.1109/BigData50022.2020.9378142
2020 IEEE International Conference on Big Data (Big Data): [Proceedings], 1964-1973
STARTPAGE=1964;ENDPAGE=1973;TITLE=2020 IEEE International Conference on Big Data (Big Data)
IEEE BigData
Complex Event Processing (CEP) is a powerful paradigm for scalable data management that is employed in many real-world scenarios such as detecting credit card fraud in banks. The so-called complex events are expressed using a specification language t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2701dd1f08701958d055eeefce5f3c
https://doi.org/10.1109/bigdata50022.2020.9378142
https://doi.org/10.1109/bigdata50022.2020.9378142
Autor:
Gallese, Chiara, Falletti, Elena, Nobile, Marco S., Ferrario, Lucrezia, Schettini, Fabrizio, Foglia, Emanuela, Wu, Xintao, Jermaine, Chris, Xiong, Li, Hu, Xiaohua Tony, Kotevska, Olivera, Lu, Siyuan, Xu, Weijia, Aluru, Srinivas, Zhai, Chengxiang, Al-Masri, Eyhab, Chen, Zhiyuan, Saltz, Jeff
Publikováno v:
Proceedings-2020 IEEE International Conference on Big Data, Big Data 2020, 2111-2116
STARTPAGE=2111;ENDPAGE=2116;TITLE=Proceedings-2020 IEEE International Conference on Big Data, Big Data 2020
IEEE BigData
STARTPAGE=2111;ENDPAGE=2116;TITLE=Proceedings-2020 IEEE International Conference on Big Data, Big Data 2020
IEEE BigData
The COVID-19 pandemic has generated an overall slowdown in hospital activities that might lead to delays in healthcare interventions, and the scarcity of resources can raise concerns about ventilators allocation criteria. These circumstances could le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b0dcd708f2e89fd5bbb3b35810cb445
https://research.tue.nl/nl/publications/7dc2a5b4-7285-4cd0-98ba-fd59a9b42bb4
https://research.tue.nl/nl/publications/7dc2a5b4-7285-4cd0-98ba-fd59a9b42bb4
Autor:
Das, Roshan Bharath, Makkes, Marc X., Uta, Alexandru, Wang, Lin, Bal, Henri, Baru, Chaitanya, Huan, Jun, Khan, Latifur, Hu, Xiaohua Tony, Ak, Ronay, Tian, Yuanyuan, Barga, Roger, Zaniolo, Carlo, Lee, Kisung, Ye, Yanfang Fanny
Publikováno v:
IEEE BigData
2019 IEEE International Conference on Big Data (Big Data 2019): [Proceedings], 6030-6032
STARTPAGE=6030;ENDPAGE=6032;TITLE=2019 IEEE International Conference on Big Data (Big Data 2019)
Das, R B, Makkes, M X, Uta, A, Wang, L & Bal, H 2020, A Programming Framework for Heterogeneous Stream Analytics . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), 2019 IEEE International Conference on Big Data (Big Data 2019) : [Proceedings] ., 9006113, Institute of Electrical and Electronics Engineers Inc., pp. 6030-6032, 2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9006113
2019 IEEE International Conference on Big Data (Big Data 2019): [Proceedings], 6030-6032
STARTPAGE=6030;ENDPAGE=6032;TITLE=2019 IEEE International Conference on Big Data (Big Data 2019)
Das, R B, Makkes, M X, Uta, A, Wang, L & Bal, H 2020, A Programming Framework for Heterogeneous Stream Analytics . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), 2019 IEEE International Conference on Big Data (Big Data 2019) : [Proceedings] ., 9006113, Institute of Electrical and Electronics Engineers Inc., pp. 6030-6032, 2019 IEEE International Conference on Big Data, Big Data 2019, Los Angeles, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9006113
Sensor-based applications using Big Data are of increasing importance in various fields. A typical example of such use cases is building health-care applications [1], [2]. A typical scenario is where a patient's heart rate is monitored by a smartwatc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad52b01938cc8fca42675dfdd9f3efdc
https://doi.org/10.1109/bigdata47090.2019.9006113
https://doi.org/10.1109/bigdata47090.2019.9006113