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Radu State

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Patrick O. Glauner

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Publications

2018
[c140]
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Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. ESANN 2018
[i13]
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  - journals/corr/abs-1801-05627
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Patrick O. Glauner, Radu State, Petko Valtchev, Diogo Duarte:
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage. CoRR abs/1801.05627 (2018)
[i12]
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  - journals/corr/abs-1803-00897
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Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. CoRR abs/1803.00897 (2018)
2017
[j36]
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  - journals/ijcisys/GlaunerMVSB17
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Patrick O. Glauner, Jorge Augusto Meira, Petko Valtchev, Radu State, Franck Bettinger:
The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey. Int. J. Comput. Intell. Syst. 10(1): 760-775 (2017)
[c120]
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  - conf/esann/GlaunerDPBAMVS17
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Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State:
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. ESANN 2017
[c115]
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  - conf/icdm/GlaunerDPMVSD17
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Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte:
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. ICDM Workshops 2017: 258-265
[i10]
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  - journals/corr/GlaunerMMAVSB17
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Patrick O. Glauner, Angelo Migliosi, Jorge Augusto Meira, Eric Aislan Antonelo, Petko Valtchev, Radu State, Franck Bettinger:
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? CoRR abs/1702.03767 (2017)
[i9]
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Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State:
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. CoRR abs/1703.10121 (2017)
[i7]
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  - journals/corr/abs-1709-03008
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Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte:
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. CoRR abs/1709.03008 (2017)
2016
[c107]
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  - conf/bdc/GlaunerMDSBR16
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Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni:
Neighborhood features help detecting non-technical losses in big data sets. BDCAT 2016: 253-261
[c102]
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Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-scale detection of non-technical losses in imbalanced data sets. ISGT 2016: 1-5
[i6]
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Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. CoRR abs/1602.08350 (2016)
[i5]
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  - journals/corr/GlaunerBDMSBRD16
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Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Jorge Augusto Meira, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. CoRR abs/1606.00626 (2016)
[i4]
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Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. CoRR abs/1607.00872 (2016)

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