Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Anika Schumann"'
Publikováno v:
IJCAI
Anomaly detection in data storage systems is a challenging problem due to the high dimensional sequential data involved, and lack of labels. The state of the art for automating anomaly detection in these systems typically relies on hand crafted rules
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863454cb92a113d803dd455dd058d646
https://doi.org/10.24963/ijcai.2020/752
https://doi.org/10.24963/ijcai.2020/752
Publikováno v:
IEEE Transactions on Industrial Informatics. 13:3399-3410
The detection and diagnosis of abnormal building behavior is key to further improve the comfort and energy efficiency in buildings. An increasing number of sensors can be utilized for this task but these lead to higher integration effort and the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2665a68ac12e15d3ecd50d757ea4bbae
https://doi.org/10.1109/tii.2017.2726001
https://doi.org/10.1109/tii.2017.2726001
Autor:
Anika Schumann, Ioana Giurgiu
Publikováno v:
CIKM
Detecting anomalies from high-dimensional multivariate temporal data is challenging, because of the non-linear, complex relationships between signals. Recently, deep learning methods based on autoencoders have been shown to capture these relationship
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff4400c71f53e7db9154e8267fdba1c
https://doi.org/10.1145/3357384.3358121
https://doi.org/10.1145/3357384.3358121
Publikováno v:
ICDM
2019 IEEE International Conference on Data Mining (ICDM)
2019 IEEE International Conference on Data Mining (ICDM)
In this work we present MTEX-CNN, a novel explainable convolutional neural network architecture which can not only be used for making predictions based on multivariate time series data, but also for explaining these predictions. The network architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::decaafb4cecfacb11e84c6b91c0a4c53
https://doi.org/10.1109/icdm.2019.00106
https://doi.org/10.1109/icdm.2019.00106
Autor:
Anika Schumann, Roy Assaf
Publikováno v:
IJCAI
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
We demonstrate that CNN deep neural networks can not only be used for making predictions based on multivariate time series data, but also for explaining these predictions. This is important for a number of applications where predictions are the basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0f99f7e6ee3cee6d1a128b69a186ac
https://zenodo.org/record/3843273
https://zenodo.org/record/3843273
Autor:
Joern Ploennigs, Anika Schumann
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 31
Today's operation of buildings is either based on simple dashboards that are not scalable to thousands of sensor data or on rules that provide very limited fault information only. In either case considerable manual effort is required for diagnosing b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::354de18cf73944e06af497812410a196
https://doi.org/10.1609/aaai.v31i1.10539
https://doi.org/10.1609/aaai.v31i1.10539
Publikováno v:
Engineering in Life Sciences. 14:607-621
Plant tissue and organ cultures in vitro usually face technological challenges. When submerged cultivation of plant cells in a controlled environment is desired, the characteristic growth morphology and physiology of differentiated organ cultures pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207cf6aa353765f27e82206826fa62b3
https://doi.org/10.1002/elsc.201300166
https://doi.org/10.1002/elsc.201300166
Autor:
Dirk Wilken, Rafael Gómez-Kosky, Anika Schumann, Elio Jiménez Gonzalez, Diana Claus, André Gerth
Publikováno v:
In Vitro Cellular & Developmental Biology - Plant. 50:582-589
Development of in vitro techniques has enabled rapid clonal propagation, regeneration, and multiplication of genetically manipulated superior clones, production of secondary metabolites, and ex situ conservation of valuable germplasm. This has been p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33a68b8641dda460485190e8d71aec6
https://doi.org/10.1007/s11627-014-9605-5
https://doi.org/10.1007/s11627-014-9605-5
Autor:
Marco Luca Sbodio, Pol Mac Aonghusa, Anika Schumann, Freddy Lecue, Giusy Di Lorenzo, Vanessa Lopez, Elizabeth M. Daly, Aris Gkoulalas-Divanis, Veli Bicer, Martin Stephenson, Spyros Kotoulas, Raymond Lloyd
Publikováno v:
Journal of Web Semantics. 24:11-17
We present SPUD , a semantic environment for cataloging, exploring, integrating, understanding, processing and transforming urban information. A series of challenges are identified: namely, the heterogeneity of the domain and the impracticality of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46bba07335924431e5011959e1c3cbad
https://doi.org/10.1016/j.websem.2013.12.003
https://doi.org/10.1016/j.websem.2013.12.003
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 24:161-166
The goal of testing is to discriminate between multiple hypotheses about a system - for example, different fault diagnoses - by applying input patterns and verifying or falsifying the hypotheses from the observed outputs. Definitely discriminating te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5da467b505dae4aa842876ff9e30d5cd
https://doi.org/10.1609/aaai.v24i1.7533
https://doi.org/10.1609/aaai.v24i1.7533