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ORCIDPatrick O. Glauner
Person information
- affiliation: Deggendorf Institute of Technology, Department of Applied Computer Science, Germany
- affiliation (former, PhD 2019): University of Luxembourg, Esch-sur-Alzette, Luxembourg
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2020 – today
- 2021
[j2]Fatih Ünal
, Abdulaziz Almalaq, Sami Ekici, Patrick O. Glauner:
Big Data-Driven Detection of False Data Injection Attacks in Smart Meters. IEEE Access 9: 144313-144326 (2021)- [c7]Patrick O. Glauner:
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. Teaching ML 2021: 5-9 - [i16]Patrick O. Glauner:
An Assessment of the AI Regulation Proposed by the European Commission. CoRR abs/2105.15133 (2021) - [i15]Patrick O. Glauner:
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. CoRR abs/2107.04024 (2021)
2010 – 2019
- 2019
- [b1]Patrick O. Glauner:
Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. University of Luxembourg, Luxembourg City, Luxembourg, 2019 - 2018
- [c6]Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. ESANN 2018 - [i14]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) - [i13]Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. CoRR abs/1803.00897 (2018) - 2017
- [j1]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) - [c5]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 - [c4]Michael Galetzka, Patrick O. Glauner:
A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons. VISIGRAPP (1: GRAPP) 2017: 175-178 - [c3]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 - [i12]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) - [i11]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) - [i10]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
- [c2]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 - [c1]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 - [i9]Patrick O. Glauner:
Deep Learning For Smile Recognition. CoRR abs/1602.00172 (2016) - [i8]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) - [i7]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) - [i6]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) - 2015
- [i5]Patrick Oliver Glauner:
Comparison of Training Methods for Deep Neural Networks. CoRR abs/1504.06825 (2015) - [i4]Patrick Oliver Glauner:
Deep Convolutional Neural Networks for Smile Recognition. CoRR abs/1508.06535 (2015) - 2013
- [i3]Patrick O. Glauner, Jan Iwaszkiewicz, Jean-Yves LeMeur, Tibor Simko:
Use of Solr and Xapian in the Invenio document repository software. CoRR abs/1310.0250 (2013) - 2012
- [i2]Michael Galetzka, Patrick O. Glauner:
A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons. CoRR abs/1207.3502 (2012) - [i1]Patrick Oliver Glauner:
Enhancing Invenio Digital Library With An External Relevance Ranking Engine. CoRR abs/1211.0689 (2012)
Coauthor Index
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