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2020 – today
- 2024
[j51]Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini
, Kaizhu Huang, Xuelong Li, Mufti Mahmud:
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. Cogn. Comput. 16(3): 1331-1333 (2024)- [j50]Leonardo Gabrielli, Lucia Migliorelli, Michela Cantarini, Adriano Mancini, Stefano Squartini:
An advanced multimodal driver-assistance prototype for emergency-vehicle detection. Integr. Comput. Aided Eng. 31(4): 381-399 (2024) - [j49]Carlo Aironi, Samuele Cornell, Stefano Squartini:
A Graph-Based Neural Approach to Linear Sum Assignment Problems. Int. J. Neural Syst. 34(3): 2450011:1-2450011:18 (2024) - [j48]Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini:
End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. Speech Commun. 161: 103081 (2024) - [j47]Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi:
Knowledge Distillation for Scalable Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 20(3): 4710-4721 (2024) - [c114]Samuele Cornell, Jee-Weon Jung, Shinji Watanabe, Stefano Squartini:
One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. ICASSP 2024: 11856-11860 - 2023
- [j46]Lucia Migliorelli, Lorenzo Scoppolini Massini, Michela Coccia, Laura Villani, Emanuele Frontoni, Stefano Squartini:
A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis. Comput. Methods Programs Biomed. 242: 107840 (2023) - [j45]Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini:
An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. Comput. Speech Lang. 82: 101534 (2023) - [j44]Giulia Tanoni, Emanuele Principi, Stefano Squartini:
Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 14(1): 440-452 (2023) - [c113]Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini:
A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. EUSIPCO 2023: 121-125 - [c112]Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini:
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP 2023: 1-2 - [c111]Valeria Bruschi, Michela Cantarini, Luca Serafini, Stefano Nobili, Stefania Cecchi, Stefano Squartini:
An Enhanced System for the Detection and Active Cancellation of Snoring Signals. MLSP 2023: 1-6 - [c110]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Appliance-Incremental Learning for Non-Intrusive Load Monitoring. SmartGridComm 2023: 1-6 - [i13]Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini:
End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations. CoRR abs/2303.12002 (2023) - [i12]Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini:
An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings. CoRR abs/2305.18074 (2023) - [i11]Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur:
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR abs/2306.13734 (2023) - [i10]Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini:
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. CoRR abs/2310.01688 (2023) - 2022
- [j43]Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent:
Overlapped Speech Detection and speaker counting using distant microphone arrays. Comput. Speech Lang. 72: 101306 (2022) - [j42]Michela Cantarini, Leonardo Gabrielli, Stefano Squartini:
Few-Shot Emergency Siren Detection. Sensors 22(12): 4338 (2022) - [j41]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Deep Optimization of Parametric IIR Filters for Audio Equalization. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1136-1149 (2022) - [j40]Leonardo Gabrielli, Stefano D'Angelo, Pier Paolo La Pastina, Stefano Squartini:
Antiderivative Antialiasing for Arbitrary Waveform Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2743-2753 (2022) - [c109]Carlo Aironi, Samuele Cornell, Stefano Squartini:
Tackling the Linear Sum Assignment Problem with Graph Neural Networks. AII 2022: 90-101 - [c108]Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini:
Weakly Supervised Transfer Learning for Multi-label Appliance Classification. AII 2022: 360-375 - [c107]Michela Cantarini, Leonardo Gabrielli, Lucia Migliorelli, Adriano Mancini, Stefano Squartini:
Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. AII 2022: 437-451 - [c106]Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. EUSIPCO 2022: 414-418 - [c105]Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini:
A Multiple Instance Regression Approach to Electrical Load Disaggregation. EUSIPCO 2022: 1666-1670 - [c104]Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini:
Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP 2022: 6507-6511 - [c103]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Digital Filters Design for Personal Sound Zones: a Neural Approach. IJCNN 2022: 1-8 - [c102]Giovanni Morrone, Samuele Cornell, Desh Raj, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini:
Low-Latency Speech Separation Guided Diarization for Telephone Conversations. SLT 2022: 641-646 - 2021
- [j39]Diego Droghini, Stefano Squartini, Emanuele Principi, Leonardo Gabrielli, Francesco Piazza:
Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 108-118 (2021) - [j38]Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics 17(7): 4733-4742 (2021) - [c101]Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph-based Representation of Audio signals for Sound Event Classification. EUSIPCO 2021: 566-570 - [c100]Michela Cantarini, Anna Brocanelli, Leonardo Gabrielli, Stefano Squartini:
Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study. ISPA 2021: 47-53 - [c99]Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini:
Learning to Rank Microphones for Distant Speech Recognition. Interspeech 2021: 3855-3859 - [i9]Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini:
Learning to Rank Microphones for Distant Speech Recognition. CoRR abs/2104.02819 (2021) - [i8]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi:
Deep Optimization of Parametric IIR Filters for Audio Equalization. CoRR abs/2110.02077 (2021) - [i7]Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini:
Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR abs/2111.04614 (2021) - 2020
- [j37]Michele D'Incecco, Stefano Squartini, Mingjun Zhong:
Transfer Learning for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 11(2): 1419-1429 (2020) - [c98]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE 2020: 26-30 - [c97]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE 2020: 31-35 - [c96]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi:
Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. EUSIPCO 2020: 496-500 - [c95]Michela Cantarini, Luca Serafini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. ICIC (1) 2020: 207-220 - [c94]Samuele Cornell, Emanuele Principi, Stefano Squartini:
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. IJCNN 2020: 1-8 - [c93]Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini:
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. IJCNN 2020: 1-8 - [c92]Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent:
Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. INTERSPEECH 2020: 3107-3111 - [c91]Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi:
Deep Learning for Individual Listening Zone. MMSP 2020: 1-6 - [p8]Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini:
Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. Neural Approaches to Dynamics of Signal Exchanges 2020: 35-46 - [p7]Stefano Tomassetti, Leonardo Gabrielli, Emanuele Principi, Daniele Ferretti, Stefano Squartini:
Neural Beamforming for Speech Enhancement: Preliminary Results. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 37-47 - [i6]Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR abs/2011.06296 (2020)
2010 – 2019
- 2019
- [j36]Marco Severini, Daniele Ferretti, Emanuele Principi, Stefano Squartini:
Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation. IEEE Access 7: 51982-51993 (2019) - [j35]Paolo Vecchiotti, Giovanni Pepe, Emanuele Principi, Stefano Squartini:
Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. Expert Syst. Appl. 134: 53-65 (2019) - [j34]Emanuele Principi, Damiano Rossetti, Stefano Squartini, Francesco Piazza:
Unsupervised electric motor fault detection by using deep autoencoders. IEEE CAA J. Autom. Sinica 6(2): 441-451 (2019) - [j33]Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Polyphonic Sound Event Detection by Using Capsule Neural Networks. IEEE J. Sel. Top. Signal Process. 13(2): 310-322 (2019) - [j32]Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana:
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27(8): 1229-1240 (2019) - [c90]Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown:
End-to-end Binaural Sound Localisation from the Raw Waveform. ICASSP 2019: 451-455 - [c89]Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani:
Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. IJCNN 2019: 1-7 - [p6]Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. Quantifying and Processing Biomedical and Behavioral Signals 2019: 185-196 - [i5]Michele D'Incecco, Stefano Squartini, Mingjun Zhong:
Transfer Learning for Non-Intrusive Load Monitoring. CoRR abs/1902.08835 (2019) - [i4]Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown:
End-to-end Binaural Sound Localisation from the Raw Waveform. CoRR abs/1904.01916 (2019) - [i3]Md. Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas W. D. Evans, Sébastien Marcel, Stefano Squartini, Claude Barras:
The Speed Submission to DIHARD II: Contributions & Lessons Learned. CoRR abs/1911.02388 (2019) - 2018
- [j31]Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Localizing speakers in multiple rooms by using Deep Neural Networks. Comput. Speech Lang. 49: 83-106 (2018) - [j30]Stefano Squartini, Björn W. Schuller, Aurelio Uncini, Chuan-Kang Ting:
Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 89-91 (2018) - [j29]Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini:
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2038-2041 (2018) - [c88]Daniele Ferretti, Marco Severini, Emanuele Principi, Annalisa Cenci, Stefano Squartini:
Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. EUSIPCO 2018: 992-996 - [c87]Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Hierarchic Conv Nets Framework for Rare Sound Event Detection. EUSIPCO 2018: 1497-1501 - [c86]Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. EUSIPCO 2018: 1567-1571 - [c85]Susanna Spinsante, Marco Fagiani, Marco Severini, Stefano Squartini, Friedrich Ellmenreich, Giusy Martelli:
Depth-Based Fall Detection: Outcomes from a Real Life Pilot. ForItAAL 2018: 287-299 - [c84]Marco Severini, Ornella Pisacane, Marco Fagiani, Stefano Squartini:
Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. IJCNN 2018: 1-8 - [c83]Michele Valenti, Roberto Bonfigli, Emanuele Principi, Stefano Squartini:
Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. IJCNN 2018: 1-8 - [c82]Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. IJCNN 2018: 1-8 - [c81]Marco Arnesano, Jack Dyson, Marco Fagiani, Adriano Mancini, Gian Marco Revel, Marco Severini, Stefano Squartini, Lorenzo Zampetti, Primo Zingaretti:
An IoT Solution for Energy Management at Building and District Level. MESA 2018: 1-7 - [p5]Diego Droghini, Emanuele Principi, Stefano Squartini, Paolo Olivetti, Francesco Piazza:
Human Fall Detection by Using an Innovative Floor Acoustic Sensor. Multidisciplinary Approaches to Neural Computing 2018: 97-107 - [p4]Paolo Vecchiotti, Fabio Vesperini, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment. Multidisciplinary Approaches to Neural Computing 2018: 161-170 - [i2]Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana:
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. CoRR abs/1809.05483 (2018) - [i1]Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini:
Polyphonic Sound Event Detection by using Capsule Neural Networks. CoRR abs/1810.06325 (2018) - 2017
- [j28]Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. Comput. Intell. Neurosci. 2017: 1512670:1-1512670:13 (2017) - [j27]Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller:
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. Comput. Intell. Neurosci. 2017: 4694860:1-4694860:14 (2017) - [c80]Marco Fagiani, Marco Severini, Stefano Squartini, Lucio Ciabattoni, Francesco Ferracuti, Alessandro Fonti, Gabriele Comodi:
A new open-source Energy Management framework: Functional description and preliminary results. CEC 2017: 1207-1214 - [c79]Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini:
A neural network approach for sound event detection in real life audio. EUSIPCO 2017: 2754-2758 - [c78]Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini, Luca Cattani:
Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. IIH-MSP (1) 2017: 33-43 - [c77]Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen:
A convolutional neural network approach for acoustic scene classification. IJCNN 2017: 1547-1554 - [c76]Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza:
Acoustic novelty detection with adversarial autoencoders. IJCNN 2017: 3324-3330 - 2016
- [j26]Emanuele Principi, Diego Droghini, Stefano Squartini, Paolo Olivetti, Francesco Piazza:
Acoustic cues from the floor: A new approach for fall classification. Expert Syst. Appl. 60: 51-61 (2016) - [c75]Marco Fagiani, Stefano Squartini, Roberto Bonfigli, Marco Severini, Francesco Piazza:
Exploiting temporal features and pressure data for automatic leakage detection in smart water grids. CEC 2016: 295-302 - [c74]Roberto Bonfigli, Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza:
Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring. CEC 2016: 303-310 - [c73]Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, Björn W. Schuller:
Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. DCASE 2016: 65-69 - [c72]Michele Valenti, Aleksandr Diment, Giambattista Parascandolo, Stefano Squartini, Tuomas Virtanen:
DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks. DCASE 2016: 95-99 - [c71]Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi:
Combining evolution strategies and neural network procedures for compression driver design. IJCNN 2016: 3385-3390 - [c70]Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. IJCNN 2016: 3391-3398 - [c69]Daniele Ferretti, Emanuele Principi, Stefano Squartini, Luigi Mandolini:
An experimental study on new features for activity of daily living recognition. IJCNN 2016: 3958-3965 - [c68]Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A neural network based algorithm for speaker localization in a multi-room environment. MLSP 2016: 1-6 - [c67]Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Marco Fagiani, Marco Severini, Francesco Piazza:
User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. SSCI 2016: 1-8 - [p3]Giulio della Porta, Emanuele Principi, Giacomo Ferroni, Stefano Squartini, Amir Hussain, Francesco Piazza:
ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis. Recent Advances in Nonlinear Speech Processing 2016: 159-168 - [p2]Damiano Rossetti, Stefano Squartini, Stefano Collura:
Machine Learning Techniques for the Estimation of Particle Size Distribution in Industrial Plants. Advances in Neural Networks 2016: 335-343 - 2015
- [j25]Marco Severini, Stefano Squartini, Francesco Piazza, Massimo Conti:
Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware. Ad Hoc Networks 24: 73-91 (2015) - [j24]Emanuele Principi, Stefano Squartini, Roberto Bonfigli, Giacomo Ferroni, Francesco Piazza:
An integrated system for voice command recognition and emergency detection based on audio signals. Expert Syst. Appl. 42(13): 5668-5683 (2015) - [j23]Emanuele Principi, Stefano Squartini, Erik Cambria, Francesco Piazza:
Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. Neurocomputing 149: 426-434 (2015) - [j22]Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He:
Computational Energy Management in Smart Grids. Neurocomputing 170: 267-269 (2015) - [j21]Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, Francesco Piazza:
A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. Neurocomputing 170: 448-465 (2015) - [j20]Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza:
Signer independent isolated Italian sign recognition based on hidden Markov models. Pattern Anal. Appl. 18(2): 385-402 (2015) - [c66]Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller:
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. ICASSP 2015: 1996-2000 - [c65]Marco Fagiani, Stefano Squartini, Marco Severini, Francesco Piazza:
A novelty detection approach to identify the occurrence of leakage in smart gas and water grids. IJCNN 2015: 1-8 - [c64]Giacomo Ferroni, Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Francesco Piazza:
A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios. IJCNN 2015: 1-8 - [c63]Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. IJCNN 2015: 1-7 - [c62]Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza:
Energy management with the support of dynamic pricing strategies in real micro-grid scenarios. IJCNN 2015: 1-8 - [p1]Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, Francesco Piazza:
Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study. Advances in Neural Networks 2015: 185-194 - 2014
- [j19]Susanna Spinsante, Stefano Squartini, Leonardo Gabrielli, Mirco Pizzichini, Ennio Gambi, Francesco Piazza:
Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results. Int. J. Distributed Sens. Networks 10 (2014) - [c61]Leonardo Gabrielli, Mirco Pizzichini, Susanna Spinsante, Stefano Squartini, Roberto Gavazzi:
Smart water grids for smart cities: A sustainable prototype demonstrator. EuCNC 2014: 1-5