Fraud detection in energy consumption: A supervised approach B Coma-Puig, J Carmona, R Gavalda, S Alcoverro, V Martin 2016 IEEE international conference on data science and advanced analytics …, 2016 | 96 | 2016 |
Explainable predictive process monitoring R Galanti, B Coma-Puig, M de Leoni, J Carmona, N Navarin 2020 2nd International Conference on Process Mining (ICPM), 1-8, 2020 | 85 | 2020 |
Bridging the gap between energy consumption and distribution through non-technical loss detection B Coma-Puig, J Carmona Energies 12 (9), 1748, 2019 | 52 | 2019 |
Non-technical losses detection in energy consumption focusing on energy recovery and explainability B Coma-Puig, J Carmona Machine Learning 111 (2), 487-517, 2022 | 13 | 2022 |
A quality control method for fraud detection on utility customers without an active contract B Coma-Puig, J Carmona Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 495-498, 2018 | 8 | 2018 |
A human-in-the-loop approach based on explainability to improve ntl detection B Coma-Puig, J Carmona 2021 International Conference on Data Mining Workshops (ICDMW), 943-950, 2021 | 7 | 2021 |
Knowledge-based segmentation to improve accuracy and explainability in non-technical losses detection A Calvo, B Coma-Puig, J Carmona, M Arias Energies 13 (21), 5674, 2020 | 6 | 2020 |
A case study of improving a non-technical losses detection system through explainability B Coma-Puig, A Calvo, J Carmona, R Gavaldà Data Mining and Knowledge Discovery, 1-29, 2023 | 3 | 2023 |
Collaborative Filtering Ensemble for Personalized Name Recommendation B Coma-Puig, E Diaz-Aviles, W Nejdl arXiv preprint arXiv:1407.4832, 2014 | 2 | 2014 |
Human-aware application of data science techniques B Coma Puig Universitat Politècnica de Catalunya, 2022 | | 2022 |
A Contemporary Fraud Detection Framework: A Case Study of Non-Technical Losses Detection in Gas A Calvo Ibañez, B Coma-Puig, J Carmona, M Arias Available at SSRN 4082608, 2022 | | 2022 |
ICPM 2020 R Galanti, B Coma-Puig, M de Leoni, MD UWV, LR CZ, Z Toosinezhad, ... | | |