| Impact of Biases in Big Data. | 1 | 0.35 | 2018 |
| Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? | 2 | 0.40 | 2017 |
| The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. | 0 | 0.34 | 2017 |
| The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. | 5 | 0.53 | 2017 |
| Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations | 0 | 0.34 | 2017 |
| A Simple And Correct Even-Odd Algorithm For The Point-In-Polygon Problem For Complex Polygons | 1 | 0.35 | 2017 |
| Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. | 0 | 0.34 | 2016 |
| Large-scale detection of non-technical losses in imbalanced data sets | 4 | 0.49 | 2016 |
| Neighborhood features help detecting non-technical losses in big data sets. | 3 | 0.43 | 2016 |
| Comparison of Training Methods for Deep Neural Networks. | 3 | 0.44 | 2015 |
| Deep Convolutional Neural Networks for Smile Recognition | 6 | 0.44 | 2015 |
| Use of Solr and Xapian in the Invenio document repository software. | 0 | 0.34 | 2013 |
| Enhancing Invenio Digital Library With An External Relevance Ranking Engine | 1 | 0.63 | 2012 |
| A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons | 0 | 0.34 | 2012 |
