Christoforos Nalmpantis
Title
Cited by
Cited by
Year
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
642019
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
292018
Imaging time-series for nilm
L Kyrkou, C Nalmpantis, D Vrakas
International Conference on Engineering Applications of Neural Networks, 188-196, 2019
72019
On time series representations for multi-label NILM
C Nalmpantis, D Vrakas
Neural Computing and Applications 32 (23), 17275-17290, 2020
52020
Signal2vec: time series embedding representation
C Nalmpantis, D Vrakas
International Conference on Engineering Applications of Neural Networks, 80-90, 2019
52019
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
42019
Attention in Recurrent Neural Networks for Energy Disaggregation
NV Gkalinikis, C Nalmpantis, D Vrakas
International Conference on Discovery Science, 551-565, 2020
12020
Energy profile representation in vector space
C Nalmpantis, O Krystalakos, D Vrakas
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-5, 2018
12018
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
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Articles 1–11