Publications

Theses

[3] P. Glauner, "Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets", PhD Thesis, University of Luxembourg, Luxembourg, Luxembourg, 2019.

[2] P. Glauner, "Deep Convolutional Neural Networks for Smile Recognition", MSc Thesis, Imperial College London, London, UK, 2015.

[1] P. Glauner, "Enhancing Invenio Digital Library With An External Relevance Ranking Engine", BSc Thesis, Karlsruhe University of Applied Sciences, Karlsruhe, Germany, 2012.


Books

[1] P. Glauner and P. Plugmann (Eds.), "Innovative Technologies for Market Leadership: Investing in the Future", Springer, 2020. (To appear)


Book Chapters

[1] P. Glauner, "Künstliche Intelligenz - die nächste Revolution (The Artificial Intelligence Revolution)", In P. Plugmann (Ed.), "Innovationsumgebungen gestalten: Impulse für Start-ups und etablierte Unternehmen im globalen Wettbewerb", ISBN 978-3-658-22126-3, Springer, 2018.


Journal Papers

[1] P. Glauner, J. Meira, P. Valtchev, R. State and F. Bettinger, "The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey", International Journal of Computational Intelligence Systems (IJCIS), vol. 10, issue 1, pp. 760-775, 2017.


Conference Papers

[11] P. Glauner, R. State, P. Valtchev and D. Duarte, "On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage", Proceedings of the 13th International FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), Belfast, UK, 2018.

[10] P. Glauner, P. Valtchev and R. State, "Impact of Biases in Big Data", Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018), Bruges, Belgium, 2018.

[9] P. Glauner, N. Dahringer, O. Puhachov, J. Meira, P. Valtchev, R. State and D. Duarte, "Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations", Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017), New Orleans, USA, 2017.

[8] P. Glauner, A. Migliosi, J. Meira, P. Valtchev, R. State and F. Bettinger, "Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?", Proceedings of the 19th International Conference on Intelligent System Applications to Power Systems (ISAP 2017), San Antonio, USA, 2017.

[7] P. Glauner, M. Du, V. Paraschiv, A. Boytsov, I. Lopez Andrade, J. Meira, P. Valtchev and R. State, "The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study", Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), Bruges, Belgium, 2017.

[6] J. Meira, P. Glauner, R. State, P. Valtchev, L. Dolberg, F. Bettinger and D. Duarte, "Distilling Provider-Independent Data for General Detection of Non-Technical Losses", 2017 IEEE Power and Energy Conference at Illinois (PECI 2017), Urbana, USA, 2017.

[5] M. Galetzka and P. Glauner, "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, 2017.

[4] P. Glauner, J. Meira, L. Dolberg, R. State, F. Bettinger, Y. Rangoni and D. Duarte, "Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets", Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies (BDCAT 2016), Shanghai, China, 2016.

[3] P. Glauner, A. Boechat, L. Dolberg, R. State, F. Bettinger, Y. Rangoni and D. Duarte, "Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets", Proceedings of the Seventh IEEE Conference on Innovative Smart Grid Technologies (ISGT 2016), Minneapolis, USA, 2016.

[2] P. Glauner, "Deep Learning For Smile Recognition", Proceedings of the 12th Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), Roubaix, France, 2016.

[1] P. Glauner, J. Iwaszkiewicz, J.-Y. Le Meur and T. Simko, "Use of Solr and Xapian in the Invenio document repository software", Open Repositories Conference (OR2013), Charlottetown, Canada, 2013.


Technical Reports

[2] P. Glauner, C. Glaeser, N. Dahringer, P. Valtchev, R. State and D. Duarte, "Non-Technical Losses in the 21st Century: Causes, Economic Effects, Detection and Perspectives", University of Luxembourg, Luxembourg, Luxembourg, 2018.

[1] P. Glauner, "Comparison of Training Methods for Deep Neural Networks", Imperial College London, London, UK, arXiv:1504.06825, 2015.