Παρακολούθηση
Christoforos Nalmpantis
Christoforos Nalmpantis
Postdoctoral Researcher, Meta AI Research (FAIR)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα csd.auth.gr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
1012019
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
742018
Signal2vec: Time series embedding representation
C Nalmpantis, D Vrakas
International conference on engineering applications of neural networks, 80-90, 2019
192019
On time series representations for multi-label NILM
C Nalmpantis, D Vrakas
Neural Computing and Applications 32 (23), 17275-17290, 2020
182020
Imaging time-series for NILM
L Kyrkou, C Nalmpantis, D Vrakas
International Conference on Engineering Applications of Neural Networks, 188-196, 2019
132019
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
82019
Attention in recurrent neural networks for energy disaggregation
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas
International Conference on Discovery Science, 551-565, 2020
72020
Hyperparameter tuning using quantum genetic algorithms
A Lentzas, C Nalmpantis, D Vrakas
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
42019
Neural Fourier energy disaggregation
C Nalmpantis, N Virtsionis Gkalinikis, D Vrakas
Sensors 22 (2), 473, 2022
32022
SAED: Self-attentive energy disaggregation
N Virtsionis-Gkalinikis, C Nalmpantis, D Vrakas
Machine Learning, 1-20, 2021
22021
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
22019
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
Noise invariant feature pooling for the internet of audio things
C Nalmpantis, L Vrysis, D Vlachava, L Papageorgiou, D Vrakas
Multimedia Tools and Applications, 1-16, 2022
2022
Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch
N Virtsionis Gkalinikis, C Nalmpantis, D Vrakas
Energies 15 (7), 2647, 2022
2022
Entropy Based Feature Pooling in Speech Command Classification
C Nalmpantis, L Vrysis, D Vlachava, L Papageorgiou, D Vrakas
Intelligent Computing, 1083-1091, 2021
2021
Data Expedition into the Swiss Twitter Corpus—Workshop Results at SwissText 2018
R Grubenmann, W Fallouh, C Nalmpantis, M Cieliebak
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