Takip et
Emanuele Principi
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models
R Bonfigli, E Principi, M Fagiani, M Severini, S Squartini, F Piazza
Applied Energy 208, 1590-1607, 2017
2332017
Unsupervised electric motor fault detection by using deep autoencoders
E Principi, D Rossetti, S Squartini, F Piazza
IEEE/CAA Journal of Automatica Sinica 6 (2), 441-451, 2019
2212019
Denoising autoencoders for non-intrusive load monitoring: improvements and comparative evaluation
R Bonfigli, A Felicetti, E Principi, M Fagiani, S Squartini, F Piazza
Energy and Buildings 158, 1461-1474, 2018
1932018
A neural network based algorithm for speaker localization in a multi-room environment
F Vesperini, P Vecchiotti, E Principi, S Squartini, F Piazza
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
952016
Acoustic novelty detection with adversarial autoencoders
E Principi, F Vesperini, S Squartini, F Piazza
2017 International Joint Conference on Neural Networks (IJCNN), 3324-3330, 2017
752017
Polyphonic sound event detection by using capsule neural networks
F Vesperini, L Gabrielli, E Principi, S Squartini
IEEE Journal of Selected Topics in Signal Processing 13 (2), 310-322, 2019
702019
An integrated system for voice command recognition and emergency detection based on audio signals
E Principi, S Squartini, R Bonfigli, G Ferroni, F Piazza
Expert Systems with Applications 42 (13), 5668-5683, 2015
692015
Acoustic cues from the floor: a new approach for fall classification
E Principi, D Droghini, S Squartini, P Olivetti, F Piazza
Expert Systems with Applications 60, 51-61, 2016
532016
Exploiting the reactive power in deep neural models for non-intrusive load monitoring
M Valenti, R Bonfigli, E Principi, S Squartini
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
452018
Few-shot siamese neural networks employing audio features for human-fall detection
D Droghini, F Vesperini, E Principi, S Squartini, F Piazza
Proceedings of the International Conference on Pattern Recognition and …, 2018
392018
Localizing speakers in multiple rooms by using deep neural networks
F Vesperini, P Vecchiotti, E Principi, S Squartini, F Piazza
Computer Speech & Language 49, 83-106, 2018
382018
A Combined One‐Class SVM and Template‐Matching Approach for User‐Aided Human Fall Detection by Means of Floor Acoustic Features
D Droghini, D Ferretti, E Principi, S Squartini, F Piazza
Computational intelligence and neuroscience 2017 (1), 1512670, 2017
352017
A non-intrusive load monitoring algorithm based on non-uniform sampling of power data and deep neural networks
M Fagiani, R Bonfigli, E Principi, S Squartini, L Mandolini
Energies 12 (7), 1371, 2019
342019
A deep neural network approach for voice activity detection in multi-room domestic scenarios
G Ferroni, R Bonfigli, E Principi, S Squartini, F Piazza
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
322015
Signer independent isolated Italian sign recognition based on hidden Markov models
M Fagiani, E Principi, S Squartini, F Piazza
Pattern Analysis and Applications 18, 385-402, 2015
312015
Acoustic template-matching for automatic emergency state detection: An ELM based algorithm
E Principi, S Squartini, E Cambria, F Piazza
Neurocomputing 149, 426-434, 2015
312015
Deep neural networks for multi-room voice activity detection: Advancements and comparative evaluation
F Vesperini, P Vecchiotti, E Principi, S Squartini, F Piazza
2016 International Joint Conference on Neural Networks (IJCNN), 3391-3398, 2016
302016
Multilabel appliance classification with weakly labeled data for non-intrusive load monitoring
G Tanoni, E Principi, S Squartini
IEEE Transactions on Smart Grid 14 (1), 440-452, 2022
282022
Infant cry detection in adverse acoustic environments by using deep neural networks
D Ferretti, M Severini, E Principi, A Cenci, S Squartini
2018 26th European Signal Processing Conference (EUSIPCO), 992-996, 2018
282018
Automatic detection of cry sounds in neonatal intensive care units by using deep learning and acoustic scene simulation
M Severini, D Ferretti, E Principi, S Squartini
IEEE Access 7, 51982-51993, 2019
272019
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