Patrick O. Glauner

Orcid: 0000-0001-5213-4236

Affiliations:
  • Deggendorf Institute of Technology, Department of Applied Computer Science, Germany
  • University of Luxembourg, Esch-sur-Alzette, Luxembourg (former, PhD 2019)


According to our database1, Patrick O. Glauner authored at least 21 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
An Assessment of the AI Regulation Proposed by the European Commission.
CoRR, 2021

Big Data-Driven Detection of False Data Injection Attacks in Smart Meters.
IEEE Access, 2021

Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses.
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

2019
Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets.
PhD thesis, 2019

2018
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage.
CoRR, 2018

Impact of Biases in Big Data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey.
Int. J. Comput. Intell. Syst., 2017

Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?
CoRR, 2017

Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 1: GRAPP, Porto, Portugal, February 27, 2017

The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Neighborhood Features Help Detecting Electricity Theft in Big Data Sets.
CoRR, 2016

The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey.
CoRR, 2016

Deep Learning For Smile Recognition.
CoRR, 2016

Large-scale detection of non-technical losses in imbalanced data sets.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

Neighborhood features help detecting non-technical losses in big data sets.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015
Deep Convolutional Neural Networks for Smile Recognition.
CoRR, 2015

Comparison of Training Methods for Deep Neural Networks.
CoRR, 2015

2013
Use of Solr and Xapian in the Invenio document repository software.
CoRR, 2013

2012
Enhancing Invenio Digital Library With An External Relevance Ranking Engine
CoRR, 2012

A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons
CoRR, 2012


  Loading...