234 citations · 292 across the 11 of their papers we have counts for
15 papers
Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses
Patrick Glauner
As a result of the rapidly advancing digital transformation of teaching, universities have started to face major competition from Massive Open Online Courses (MOOCs). Universities…
An Assessment of the AI Regulation Proposed by the European Commission
Patrick Glauner
In April 2021, the European Commission published a proposed regulation on AI. It intends to create a uniform legal framework for AI within the European Union (EU). In this chapter,…
Impact of Biases in Big Data
Patrick Glauner, Petko Valtchev, Radu State
The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at…
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage
Patrick Glauner, Radu State, Petko Valtchev +1
In machine learning, a bias occurs whenever training sets are not representative for the test data, which results in unreliable models. The most common biases in data are arguably…
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations
Patrick Glauner, Niklas Dahringer, Oleksandr Puhachov +4
Power grids are critical infrastructure assets that face non-technical losses (NTL) such as electricity theft or faulty meters. NTL may range up to 40% of the total electricity dis…
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Patrick Glauner, Manxing Du, Victor Paraschiv +5
Which topics of machine learning are most commonly addressed in research? This question was initially answered in 2007 by doing a qualitative survey among distinguished researchers…
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?
Patrick Glauner, Angelo Migliosi, Jorge Meira +3
Non-technical losses (NTL) occur during the distribution of electricity in power grids and include, but are not limited to, electricity theft and faulty meters. In emerging countri…
Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets
Patrick Glauner, Jorge Meira, Lautaro Dolberg +4
Electricity theft is a major problem around the world in both developed and developing countries and may range up to 40% of the total electricity distributed. More generally, elect…
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey
Patrick Glauner, Jorge Augusto Meira, Petko Valtchev +2
Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineeri…
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets
Patrick O. Glauner, Andre Boechat, Lautaro Dolberg +4
Non-technical losses (NTL) such as electricity theft cause significant harm to our economies, as in some countries they may range up to 40% of the total electricity distributed. De…
Deep Learning For Smile Recognition
Patrick O. Glauner
Inspired by recent successes of deep learning in computer vision, we propose a novel application of deep convolutional neural networks to facial expression recognition, in particul…
Deep Convolutional Neural Networks for Smile Recognition
Patrick O. Glauner
This thesis describes the design and implementation of a smile detector based on deep convolutional neural networks. It starts with a summary of neural networks, the difficulties o…
Comparison of Training Methods for Deep Neural Networks
Patrick O. Glauner
This report describes the difficulties of training neural networks and in particular deep neural networks. It then provides a literature review of training methods for deep neural…
Use of Solr and Xapian in the Invenio document repository software
Patrick O. Glauner, Jan Iwaszkiewicz, Jean-Yves Le Meur +1
Invenio is a free comprehensive web-based document repository and digital library software suite originally developed at CERN. It can serve a variety of use cases from an instituti…
A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons
Michael Galetzka, Patrick O. Glauner
Determining if a point is in a polygon or not is used by a lot of applications in computer graphics, computer games and geoinformatics. Implementing this check is error-prone since…