A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons - Michael Galetzka; Patrick O. Glauner (CoRR, 2012)

Enhancing Invenio Digital Library With An External Relevance Ranking Engine - Patrick Oliver Glauner (CoRR, 2012)

Use of Solr and Xapian in the Invenio document repository software. - Patrick O. Glauner; Jan Iwaszkiewicz; Jean-Yves LeMeur; Tibor Simko (CoRR, 2013)

Comparison of Training Methods for Deep Neural Networks. - Patrick Oliver Glauner (CoRR, 2015)

Deep Convolutional Neural Networks for Smile Recognition. - Patrick Oliver Glauner (CoRR, 2015)

Neighborhood features help detecting non-technical losses in big data sets. - Patrick O. Glauner; Jorge Augusto Meira; Lautaro Dolberg; Radu State; Franck Bettinger; Yves Rangoni (BDCAT, 2016)

Large-scale detection of non-technical losses in imbalanced data sets. - Patrick O. Glauner; Andre Boechat; Lautaro Dolberg; Radu State; Franck Bettinger; Yves Rangoni; Diogo Duarte (ISGT, 2016)

Deep Learning For Smile Recognition. - Patrick O. Glauner (CoRR, 2016)

The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. - Patrick O. Glauner; Andre Boechat; Lautaro Dolberg; Jorge Augusto Meira; Radu State; Franck Bettinger; Yves Rangoni; Diogo Duarte (CoRR, 2016)

Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. - Patrick O. Glauner; Jorge Augusto Meira; Lautaro Dolberg; Radu State; Franck Bettinger; Yves Rangoni; Diogo Duarte (CoRR, 2016)

The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. - Patrick O. Glauner; Manxing Du; Victor Paraschiv; Andrey Boytsov; Isabel Lopez Andrade; Jorge Augusto Meira; Petko Valtchev; Radu State (ESANN, 2017)

A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons. - Michael Galetzka; Patrick O. Glauner (VISIGRAPP (1: GRAPP), 2017)

Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. - Patrick O. Glauner; Niklas Dahringer; Oleksandr Puhachov; Jorge Augusto Meira; Petko Valtchev; Radu State; Diogo Duarte (ICDM Workshops, 2017)

Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? - Patrick O. Glauner; Angelo Migliosi; Jorge Augusto Meira; Eric Aislan Antonelo; Petko Valtchev; Radu State; Franck Bettinger (CoRR, 2017)

The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey. - Patrick O. Glauner; Jorge Augusto Meira; Petko Valtchev; Radu State; Franck Bettinger (Int. J. Comput. Intell. Syst., 2017)

Impact of Biases in Big Data. - Patrick O. Glauner; Petko Valtchev; Radu State (ESANN, 2018)

On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage. - Patrick O. Glauner; Radu State; Petko Valtchev; Diogo Duarte (CoRR, 2018)

Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. - Patrick O. Glauner (2019)

Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. - Patrick O. Glauner (Teaching ML, 2021)

Big Data-Driven Detection of False Data Injection Attacks in Smart Meters. - Fatih Ünal; Abdulaziz Almalaq; Sami Ekici; Patrick O. Glauner (IEEE Access, 2021)

An Assessment of the AI Regulation Proposed by the European Commission. - Patrick O. Glauner (CoRR, 2021)