Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage



Patrick Glauner , Radu State , Petko Valtchev , Diogo Duarte

* Proceedings of the 13th International FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018) 

   Access Paper or Ask Questions

Impact of Biases in Big Data



Patrick Glauner , Petko Valtchev , Radu State

* Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) 

   Access Paper or Ask Questions

Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations



Patrick Glauner , Niklas Dahringer , Oleksandr Puhachov , Jorge Augusto Meira , Petko Valtchev , Radu State , Diogo Duarte

* Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017) 

   Access Paper or Ask Questions

Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets



Patrick Glauner , Jorge Meira , Lautaro Dolberg , Radu State , Franck Bettinger , Yves Rangoni , Diogo Duarte

* Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies (BDCAT 2016) 

   Access Paper or Ask Questions

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



Patrick Glauner , Angelo Migliosi , Jorge Meira , Petko Valtchev , Radu State , Franck Bettinger

* Proceedings of the 19th International Conference on Intelligent System Applications to Power Systems (ISAP 2017) 

   Access Paper or Ask Questions

The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey



Patrick Glauner , Jorge Augusto Meira , Petko Valtchev , Radu State , Franck Bettinger

* International Journal of Computational Intelligence Systems (IJCIS), vol. 10, issue 1, pp. 760-775, 2017 

   Access Paper or Ask Questions

The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study



Patrick Glauner , Manxing Du , Victor Paraschiv , Andrey Boytsov , Isabel Lopez Andrade , Jorge Meira , Petko Valtchev , Radu State

* Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017) 

   Access Paper or Ask Questions