| Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation C Nalmpantis, D Vrakas Artificial Intelligence Review 52 (1), 217-243, 2019 | 66 | 2019 |
| Sliding window approach for online energy disaggregation using artificial neural networks O Krystalakos, C Nalmpantis, D Vrakas Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-6, 2018 | 33 | 2018 |
| Imaging time-series for nilm L Kyrkou, C Nalmpantis, D Vrakas International Conference on Engineering Applications of Neural Networks, 188-196, 2019 | 7 | 2019 |
| On time series representations for multi-label NILM C Nalmpantis, D Vrakas Neural Computing and Applications 32 (23), 17275-17290, 2020 | 5 | 2020 |
| Signal2vec: time series embedding representation C Nalmpantis, D Vrakas International Conference on Engineering Applications of Neural Networks, 80-90, 2019 | 5 | 2019 |
| A benchmark framework to evaluate energy disaggregation solutions N Symeonidis, C Nalmpantis, D Vrakas International Conference on Engineering Applications of Neural Networks, 19-30, 2019 | 4 | 2019 |
| Attention in Recurrent Neural Networks for Energy Disaggregation NV Gkalinikis, C Nalmpantis, D Vrakas International Conference on Discovery Science, 551-565, 2020 | 1 | 2020 |
| Energy profile representation in vector space C Nalmpantis, O Krystalakos, D Vrakas Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-5, 2018 | 1 | 2018 |
| Hyperparameter Tuning using Quantum Genetic Algorithms A Lentzas, C Nalmpantis, D Vrakas 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | | 2019 |
| A Theoretical Analysis of Pooling Operation Using Information Theory C Nalmpantis, A Lentzas, D Vrakas 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | | 2019 |
| Data Expedition into the Swiss Twitter Corpus—Workshop Results at SwissText 2018 R Grubenmann, W Fallouh, C Nalmpantis, M Cieliebak | | |
Dimitris VrakasSchool of Informatics, Aristotle University of ThessalonikiΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα csd.auth.gr
