Stefano Squartini

198 papers A 3B 28C 6Misc 8Journal 68Unranked 77

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recent trends in distant conversational speech recognition: A review of CHiME-7 and 8 DASR challenges. Comput. Speech Lang. Samuele Cornell, Christoph Boeddeker, Taejin Park, He Huang, Desh Raj, Matthew Wiesner, Yoshiki Masuyama, Xuankai Chang, Zhongqiu Wang, Stefano Squartini, Paola García, Shinji Watanabe
2025	C	`conf`	A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households. ISCAS Giulia Tanoni, Redemptor Laceda Taloma, Emanuele Principi, Danilo Comminiello, Stefano Squartini
2025	J	`jnl`	A weakly supervised active learning framework for non-intrusive load monitoring. Integr. Comput. Aided Eng. Giulia Tanoni, Tamara Sobot, Emanuele Principi, Vladimir Stankovic, Lina Stankovic, Stefano Squartini
2025	B	`conf`	Contextual Pooling for Multiple-Instance Learning-based Non-Intrusive Load Monitoring. IJCNN Giulia Tanoni, Emanuele Principi, Paolo Vitulli, Luigi Mandolini, Stefano Squartini
2025	B	`conf`	Dysarthric Speech Classification: A Comparative Analysis of Decision-Support Methods. IJCNN Davide Lillini, Carlo Aironi, Lucia Migliorelli, Leonardo Gabrielli, Stefano Squartini
2025	J	`jnl`	Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge. Expert Syst. Appl. Djordje Batic, Giulia Tanoni, Emanuele Principi, Lina Stankovic, Vladimir Stankovic, Stefano Squartini
2025	—	`conf`	Preliminary Analysis of an Immersive Low-Latency Audio System for Remote Therapeutic Intervention. IS2 Valeria Bruschi, Michael Fioretti, Giuseppe Bergamino, Alessandro Terenzi, Grazia Iadarola, Leonardo Gabrielli, Susanna Spinsante, Stefania Cecchi, Stefano Squartini
2025	J	`jnl`	Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges. CoRR Samuele Cornell, Christoph Boeddeker, Taejin Park, He Huang, Desh Raj, Matthew Wiesner, Yoshiki Masuyama, Xuankai Chang, Zhongqiu Wang, Stefano Squartini, Paola García, Shinji Watanabe
2024	J	`jnl`	A Graph-Based Neural Approach to Linear Sum Assignment Problems. Int. J. Neural Syst. Carlo Aironi, Samuele Cornell, Stefano Squartini
2024	J	`jnl`	An advanced multimodal driver-assistance prototype for emergency-vehicle detection. Integr. Comput. Aided Eng. Leonardo Gabrielli, Lucia Migliorelli, Michela Cantarini, Adriano Mancini, Stefano Squartini
2024	J	`jnl`	End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. Speech Commun. Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
2024	J	`jnl`	Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. Cogn. Comput. Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini, Kaizhu Huang, Xuelong Li, Mufti Mahmud
2024	J	`jnl`	Knowledge Distillation for Scalable Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics Giulia Tanoni, Lina Stankovic, Vladimir Stankovic, Stefano Squartini, Emanuele Principi
2024	Misc	`conf`	One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. ICASSP Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini
2023	—	`conf`	A Score-aware Generative Approach for Music Signals Inpainting. IS2 Carlo Aironi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini
2023	—	`conf`	A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. EUSIPCO Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini
2023	J	`jnl`	A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis. Comput. Methods Programs Biomed. Lucia Migliorelli, Lorenzo Scoppolini Massini, Michela Coccia, Laura Villani, Emanuele Frontoni, Stefano Squartini
2023	—	`conf`	An Enhanced System for the Detection and Active Cancellation of Snoring Signals. MLSP Valeria Bruschi, Michela Cantarini, Luca Serafini, Stefano Nobili, Stefania Cecchi, Stefano Squartini
2023	J	`jnl`	An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings. CoRR Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
2023	J	`jnl`	An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. Comput. Speech Lang. Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
2023	—	`conf`	Appliance-Incremental Learning for Non-Intrusive Load Monitoring. SmartGridComm Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
2023	J	`jnl`	End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations. CoRR Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
2023	—	`conf`	Joint Detection and Active Cancellation of Snoring Signals in Real-Time. IS2 Luca Serafini, Valeria Bruschi, Stefano Nobili, Emanuele Principi, Stefania Cecchi, Stefano Squartini
2023	Misc	`conf`	Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
2023	J	`jnl`	Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid Giulia Tanoni, Emanuele Principi, Stefano Squartini
2023	J	`jnl`	One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. CoRR Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini
2023	J	`jnl`	The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur
2022	—	`conf`	A Multiple Instance Regression Approach to Electrical Load Disaggregation. EUSIPCO Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini
2022	J	`jnl`	Antiderivative Antialiasing for Arbitrary Waveform Generation. IEEE ACM Trans. Audio Speech Lang. Process. Leonardo Gabrielli, Stefano D'Angelo, Pier Paolo La Pastina, Stefano Squartini
2022	—	`conf`	Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. AII Michela Cantarini, Leonardo Gabrielli, Lucia Migliorelli, Adriano Mancini, Stefano Squartini
2022	J	`jnl`	Deep Optimization of Parametric IIR Filters for Audio Equalization. IEEE ACM Trans. Audio Speech Lang. Process. Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
2022	B	`conf`	Digital Filters Design for Personal Sound Zones: a Neural Approach. IJCNN Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
2022	J	`jnl`	Few-Shot Emergency Siren Detection. Sensors Michela Cantarini, Leonardo Gabrielli, Stefano Squartini
2022	—	`conf`	Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. EUSIPCO Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
2022	Misc	`conf`	Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
2022	—	`conf`	Low-Latency Speech Separation Guided Diarization for Telephone Conversations. SLT Giovanni Morrone, Samuele Cornell, Desh Raj, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
2022	J	`jnl`	Overlapped Speech Detection and speaker counting using distant microphone arrays. Comput. Speech Lang. Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
2022	—	`conf`	Tackling the Linear Sum Assignment Problem with Graph Neural Networks. AII Carlo Aironi, Samuele Cornell, Stefano Squartini
2022	—	`conf`	Weakly Supervised Transfer Learning for Multi-label Appliance Classification. AII Giulia Tanoni, Emanuele Principi, Luigi Mandolini, Stefano Squartini
2021	C	`conf`	Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study. ISPA Michela Cantarini, Anna Brocanelli, Leonardo Gabrielli, Stefano Squartini
2021	J	`jnl`	Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. IEEE Trans. Emerg. Top. Comput. Intell. Diego Droghini, Stefano Squartini, Emanuele Principi, Leonardo Gabrielli, Francesco Piazza
2021	J	`jnl`	Deep Optimization of Parametric IIR Filters for Audio Equalization. CoRR Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Carlo Tripodi, Nicolo Strozzi
2021	—	`conf`	Graph-based Representation of Audio signals for Sound Event Classification. EUSIPCO Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
2021	J	`jnl`	Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
2021	A	`conf`	Learning to Rank Microphones for Distant Speech Recognition. Interspeech Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
2021	J	`jnl`	Learning to Rank Microphones for Distant Speech Recognition. CoRR Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
2021	J	`jnl`	Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics Andrea Castellani, Sebastian Schmitt, Stefano Squartini
2020	B	`conf`	A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. IJCNN Samuele Cornell, Emanuele Principi, Stefano Squartini
2020	—	`ch.`	Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. Neural Approaches to Dynamics of Signal Exchanges Fabio Vesperini, Luca Romeo, Emanuele Principi, Andrea Monteriù, Stefano Squartini
2020	C	`conf`	Deep Learning for Individual Listening Zone. MMSP Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi
2020	A	`conf`	Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. INTERSPEECH Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
2020	—	`conf`	Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2020	—	`conf`	Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. ICIC (1) Michela Cantarini, Luca Serafini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2020	—	`conf`	Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. EUSIPCO Giovanni Pepe, Leonardo Gabrielli, Stefano Squartini, Luca Cattani, Carlo Tripodi
2020	—	`ch.`	Neural Beamforming for Speech Enhancement: Preliminary Results. Neural Advances in Processing Nonlinear Dynamic Signals Stefano Tomassetti, Leonardo Gabrielli, Emanuele Principi, Daniele Ferretti, Stefano Squartini
2020	J	`jnl`	Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR Andrea Castellani, Sebastian Schmitt, Stefano Squartini
2020	—	`conf`	Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2020	J	`jnl`	Transfer Learning for Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid Michele D'Incecco, Stefano Squartini, Mingjun Zhong
2020	B	`conf`	Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. IJCNN Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini
2019	J	`jnl`	A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. IEEE ACM Trans. Audio Speech Lang. Process. Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana
2019	—	`ch.`	An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. Quantifying and Processing Biomedical and Behavioral Signals Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2019	J	`jnl`	Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation. IEEE Access Marco Severini, Daniele Ferretti, Emanuele Principi, Stefano Squartini
2019	J	`jnl`	Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. Expert Syst. Appl. Paolo Vecchiotti, Giovanni Pepe, Emanuele Principi, Stefano Squartini
2019	Misc	`conf`	End-to-end Binaural Sound Localisation from the Raw Waveform. ICASSP Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown
2019	J	`jnl`	End-to-end Binaural Sound Localisation from the Raw Waveform. CoRR Paolo Vecchiotti, Ning Ma, Stefano Squartini, Guy J. Brown
2019	J	`jnl`	Polyphonic Sound Event Detection by Using Capsule Neural Networks. IEEE J. Sel. Top. Signal Process. Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2019	B	`conf`	Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. IJCNN Leonardo Gabrielli, Livio Ambrosini, Fabio Vesperini, Valeria Bruschi, Stefano Squartini, Luca Cattani
2019	J	`jnl`	The Speed Submission to DIHARD II: Contributions & Lessons Learned. CoRR 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
2019	J	`jnl`	Transfer Learning for Non-Intrusive Load Monitoring. CoRR Michele D'Incecco, Stefano Squartini, Mingjun Zhong
2019	J	`jnl`	Unsupervised electric motor fault detection by using deep autoencoders. IEEE CAA J. Autom. Sinica Emanuele Principi, Damiano Rossetti, Stefano Squartini, Francesco Piazza
2018	J	`jnl`	A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. CoRR Leonardo Gabrielli, Stefano Tomassetti, Stefano Squartini, Carlo Zinato, Stefano Guaiana
2018	—	`conf`	An IoT Solution for Energy Management at Building and District Level. MESA Marco Arnesano, Jack Dyson, Marco Fagiani, Adriano Mancini, Gian Marco Revel, Marco Severini, Stefano Squartini, Lorenzo Zampetti, Primo Zingaretti
2018	B	`conf`	Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. IJCNN Marco Severini, Ornella Pisacane, Marco Fagiani, Stefano Squartini
2018	—	`ch.`	Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment. Multidisciplinary Approaches to Neural Computing Paolo Vecchiotti, Fabio Vesperini, Emanuele Principi, Stefano Squartini, Francesco Piazza
2018	—	`conf`	Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. EUSIPCO Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2018	—	`conf`	Depth-Based Fall Detection: Outcomes from a Real Life Pilot. ForItAAL Susanna Spinsante, Marco Fagiani, Marco Severini, Stefano Squartini, Friedrich Ellmenreich, Giusy Martelli
2018	B	`conf`	Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. IJCNN Michele Valenti, Roberto Bonfigli, Emanuele Principi, Stefano Squartini
2018	J	`jnl`	Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. IEEE Trans. Emerg. Top. Comput. Intell. Stefano Squartini, Björn W. Schuller, Aurelio Uncini, Chuan-Kang Ting
2018	—	`conf`	Hierarchic Conv Nets Framework for Rare Sound Event Detection. EUSIPCO Fabio Vesperini, Diego Droghini, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2018	—	`ch.`	Human Fall Detection by Using an Innovative Floor Acoustic Sensor. Multidisciplinary Approaches to Neural Computing Diego Droghini, Emanuele Principi, Stefano Squartini, Paolo Olivetti, Francesco Piazza
2018	—	`conf`	Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. EUSIPCO Daniele Ferretti, Marco Severini, Emanuele Principi, Annalisa Cenci, Stefano Squartini
2018	J	`jnl`	Localizing speakers in multiple rooms by using Deep Neural Networks. Comput. Speech Lang. Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2018	J	`jnl`	Polyphonic Sound Event Detection by using Capsule Neural Networks. CoRR Fabio Vesperini, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2018	B	`conf`	Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. IJCNN Fabio Vesperini, Andrea Galli, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini
2018	J	`jnl`	Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Dongbin Zhao, Derong Liu, Frank L. Lewis, José C. Príncipe, Stefano Squartini
2017	J	`jnl`	A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. Comput. Intell. Neurosci. Diego Droghini, Daniele Ferretti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2017	B	`conf`	A convolutional neural network approach for acoustic scene classification. IJCNN Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen
2017	—	`conf`	A neural network approach for sound event detection in real life audio. EUSIPCO Michele Valenti, Dario Tonelli, Fabio Vesperini, Emanuele Principi, Stefano Squartini
2017	B	`conf`	A new open-source Energy Management framework: Functional description and preliminary results. CEC Marco Fagiani, Marco Severini, Stefano Squartini, Lucio Ciabattoni, Francesco Ferracuti, Alessandro Fonti, Gabriele Comodi
2017	B	`conf`	Acoustic novelty detection with adversarial autoencoders. IJCNN Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza
2017	J	`jnl`	Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. Comput. Intell. Neurosci. Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller
2017	—	`conf`	Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. IIH-MSP (1) Giovanni Pepe, Leonardo Gabrielli, Emanuele Principi, Stefano Squartini, Luca Cattani
2016	—	`conf`	A neural network based algorithm for speaker localization in a multi-room environment. MLSP Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2016	J	`jnl`	Acoustic cues from the floor: A new approach for fall classification. Expert Syst. Appl. Emanuele Principi, Diego Droghini, Stefano Squartini, Paolo Olivetti, Francesco Piazza
2016	B	`conf`	An experimental study on new features for activity of daily living recognition. IJCNN Daniele Ferretti, Emanuele Principi, Stefano Squartini, Luigi Mandolini
2016	B	`conf`	Combining evolution strategies and neural network procedures for compression driver design. IJCNN Michele Gasparini, Fabio Vesperini, Stefania Cecchi, Stefano Squartini, Francesco Piazza, Romolo Toppi
2016	—	`conf`	DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks. DCASE Michele Valenti, Aleksandr Diment, Giambattista Parascandolo, Stefano Squartini, Tuomas Virtanen
2016	B	`conf`	Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. IJCNN Fabio Vesperini, Paolo Vecchiotti, Emanuele Principi, Stefano Squartini, Francesco Piazza
2016	—	`ch.`	ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis. Recent Advances in Nonlinear Speech Processing Giulio della Porta, Emanuele Principi, Giacomo Ferroni, Stefano Squartini, Amir Hussain, Francesco Piazza
2016	B	`conf`	Exploiting temporal features and pressure data for automatic leakage detection in smart water grids. CEC Marco Fagiani, Stefano Squartini, Roberto Bonfigli, Marco Severini, Francesco Piazza
2016	B	`conf`	Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring. CEC Roberto Bonfigli, Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza
2016	—	`ch.`	Machine Learning Techniques for the Estimation of Particle Size Distribution in Industrial Plants. Advances in Neural Networks Damiano Rossetti, Stefano Squartini, Stefano Collura
2016	—	`conf`	Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. DCASE Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, Björn W. Schuller
2016	—	`conf`	User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. SSCI Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Marco Fagiani, Marco Severini, Francesco Piazza
2015	B	`conf`	A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios. IJCNN Giacomo Ferroni, Roberto Bonfigli, Emanuele Principi, Stefano Squartini, Francesco Piazza
2015	Misc	`conf`	A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. ICASSP Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller
2015	B	`conf`	A novelty detection approach to identify the occurrence of leakage in smart gas and water grids. IJCNN Marco Fagiani, Stefano Squartini, Marco Severini, Francesco Piazza
2015	J	`jnl`	A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. Neurocomputing Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, Francesco Piazza
2015	J	`jnl`	Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. Neurocomputing Emanuele Principi, Stefano Squartini, Erik Cambria, Francesco Piazza
2015	J	`jnl`	An integrated system for voice command recognition and emergency detection based on audio signals. Expert Syst. Appl. Emanuele Principi, Stefano Squartini, Roberto Bonfigli, Giacomo Ferroni, Francesco Piazza
2015	J	`jnl`	Computational Energy Management in Smart Grids. Neurocomputing Stefano Squartini, Derong Liu, Francesco Piazza, Dongbin Zhao, Haibo He
2015	—	`ch.`	Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study. Advances in Neural Networks Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Susanna Spinsante, Francesco Piazza
2015	B	`conf`	Energy management with the support of dynamic pricing strategies in real micro-grid scenarios. IJCNN Marco Severini, Stefano Squartini, Marco Fagiani, Francesco Piazza
2015	J	`jnl`	Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware. Ad Hoc Networks Marco Severini, Stefano Squartini, Francesco Piazza, Massimo Conti
2015	B	`conf`	Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. IJCNN Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller
2015	J	`jnl`	Signer independent isolated Italian sign recognition based on hidden Markov models. Pattern Anal. Appl. Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza
2014	Misc	`conf`	A nonlinear second-order digital oscillator for Virtual Acoustic Feedback. ICASSP Leonardo Gabrielli, M. Giobbi, Stefano Squartini, Vesa Välimäki
2014	—	`conf`	Advanced integration of multimedia assistive technologies: A prospective outlook. MESA Daniele Liciotti, Giacomo Ferroni, Emanuele Frontoni, Stefano Squartini, Emanuele Principi, Roberto Bonfigli, Primo Zingaretti, Francesco Piazza
2014	B	`conf`	Audio onset detection: A wavelet packet based approach with recurrent neural networks. IJCNN Erik Marchi, Giacomo Ferroni, Florian Eyben, Stefano Squartini, Björn W. Schuller
2014	B	`conf`	Computational Intelligence in Smart water and gas grids: An up-to-date overview. IJCNN Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Mirco Pizzichini, Susanna Spinsante
2014	B	`conf`	Computational framework based on task and resource scheduling for micro grid design. IJCNN Marco Severini, Stefano Squartini, Francesco Piazza
2014	Misc	`conf`	Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks. ICASSP Erik Marchi, Giacomo Ferroni, Florian Eyben, Leonardo Gabrielli, Stefano Squartini, Björn W. Schuller
2014	B	`conf`	Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition. IJCNN Emanuele Principi, Stefano Squartini, Francesco Piazza
2014	—	`conf`	Smart water grids for smart cities: A sustainable prototype demonstrator. EuCNC Leonardo Gabrielli, Mirco Pizzichini, Susanna Spinsante, Stefano Squartini, Roberto Gavazzi
2014	J	`jnl`	Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results. Int. J. Distributed Sens. Networks Susanna Spinsante, Stefano Squartini, Leonardo Gabrielli, Mirco Pizzichini, Ennio Gambi, Francesco Piazza
2013	J	`jnl`	A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios. Cogn. Comput. Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller
2013	J	`jnl`	A digital waveguide-based approach for Clavinet modeling and synthesis. EURASIP J. Adv. Signal Process. Leonardo Gabrielli, Vesa Välimäki, Henri Penttinen, Stefano Squartini, Stefan Bilbao
2013	A	`conf`	A distributed system for recognizing home automation commands and distress calls in the Italian language. INTERSPEECH Emanuele Principi, Stefano Squartini, Francesco Piazza, Danilo Fuselli, Maurizio Bonifazi
2013	J	`jnl`	Advances on Brain Inspired Computing. Cogn. Comput. Stefano Squartini, Sanqing Hu, Qingshan Liu
2013	J	`jnl`	Energy-aware lazy scheduling algorithm for energy-harvesting sensor nodes. Neural Comput. Appl. Marco Severini, Stefano Squartini, Francesco Piazza
2013	B	`conf`	Evaluation of the Wireless M-Bus standard for future smart water grids. IWCMC Susanna Spinsante, Mirco Pizzichini, Matteo Mencarelli, Stefano Squartini, Ennio Gambi
2013	—	`conf`	Home energy resource scheduling algorithms and their dependency on the battery model. CIASG Stefano Squartini, Danilo Fuselli, Matteo Boaro, Francesco De Angelis, Francesco Piazza
2013	J	`jnl`	Hybrid soft computing algorithmic framework for smart home energy management. Soft Comput. Marco Severini, Stefano Squartini, Francesco Piazza
2013	—	`conf`	Learning Capabilities of ELM-Trained Time-Varying Neural Networks. WIRN Stefano Squartini, Yibin Ye, Francesco Piazza
2013	J	`jnl`	Online sequential extreme learning machine in nonstationary environments. Neurocomputing Yibin Ye, Stefano Squartini, Francesco Piazza
2013	J	`jnl`	Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints. IEEE Trans. Ind. Informatics Francesco De Angelis, Matteo Boaro, Danilo Fuselli, Stefano Squartini, Francesco Piazza, Qinglai Wei
2013	Misc	`conf`	Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies. ICASSP Florian Eyben, Felix Weninger, Stefano Squartini, Björn W. Schuller
2013	—	`conf`	Smart Home Task and Energy Resource Scheduling Based on Nonlinear Programming. WIRN Marco Severini, Stefano Squartini, Gian Piero Surace, Francesco Piazza
2013	J	`jnl`	The neural paradigm for complex systems: new algorithms and applications. Neural Comput. Appl. Stefano Squartini, Jinhu Lu, Qinglai Wei
2012	—	`conf`	A Comparison between Different Optimization Techniques for Energy Scheduling in Smart Home Environment. WIRN Francesco De Angelis, Matteo Boaro, Danilo Fuselli, Stefano Squartini, Francesco Piazza
2012	—	`conf`	A New Italian Sign Language Database. BICS Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza
2012	—	`conf`	A New System for Automatic Recognition of Italian Sign Language. WIRN Marco Fagiani, Emanuele Principi, Stefano Squartini, Francesco Piazza
2012	—	`conf`	An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes. ISNN (2) Marco Severini, Stefano Squartini, Francesco Piazza
2012	J	`jnl`	CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building. Cogn. Comput. Stefano Squartini, Anna Esposito
2012	J	`jnl`	Cognitive and Emotional Information Processing for Human-Machine Interaction. Cogn. Comput. Stefano Squartini, Björn W. Schuller, Amir Hussain
2012	—	`conf`	Dominance Detection in a Reverberated Acoustic Scenario. ISNN (1) Emanuele Principi, Rudy Rotili, Martin Wöllmer, Stefano Squartini, Björn W. Schuller
2012	J	`jnl`	Environmental robust speech and speaker recognition through multi-channel histogram equalization. Neurocomputing Stefano Squartini, Emanuele Principi, Rudy Rotili, Francesco Piazza
2012	—	`conf`	Optimal Battery Management with ADHDP in Smart Home Environments. ISNN (2) Danilo Fuselli, Francesco De Angelis, Matteo Boaro, Derong Liu, Qinglai Wei, Stefano Squartini, Francesco Piazza
2012	—	`conf`	Optimal Task and Energy Scheduling in Dynamic Residential Scenarios. ISNN (1) Francesco De Angelis, Matteo Boaro, Danilo Fuselli, Stefano Squartini, Francesco Piazza, Qinglai Wei, Ding Wang
2012	J	`jnl`	Real-Time Activity Detection in a Multi-Talker Reverberated Environment. Cogn. Comput. Emanuele Principi, Rudy Rotili, Martin Wöllmer, Florian Eyben, Stefano Squartini, Björn W. Schuller
2012	J	`jnl`	Stereophonic hands-free communication system based on microphone array fixed beamforming: real-time implementation and evaluation. EURASIP J. Audio Speech Music. Process. Matteo Pirro, Stefano Squartini, Laura Romoli, Francesco Piazza
2011	—	`conf`	A Real-Time Speech Enhancement Framework for Multi-party Meetings. NOLISP Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller
2011	J	`jnl`	Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection. EURASIP J. Adv. Signal Process. Leonardo Gabrielli, Francesco Piazza, Stefano Squartini
2011	—	`conf`	Conversational Speech Recognition in Non-stationary Reverberated Environments. COST 2102 Training School Rudy Rotili, Emanuele Principi, Martin Wöllmer, Stefano Squartini, Björn W. Schuller
2011	—	`conf`	ELM-Based Time-Variant Neural Networks with Incremental Number of Output Basis Functions. ISNN (1) Yibin Ye, Stefano Squartini, Francesco Piazza
2011	—	`conf`	ELM-based Algorithms for Nonstationary Volterra System Identification. WIRN Yibin Ye, Stefano Squartini, Francesco Piazza
2011	—	`conf`	Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions. WIRN Emanuele Principi, Rudy Rotili, Stefano Squartini
2011	—	`conf`	On-Line Extreme Learning Machine for Training Time-Varying Neural Networks. ICIC (3) Yibin Ye, Stefano Squartini, Francesco Piazza
2011	—	`conf`	Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers. ISNN (2) Rudy Rotili, Emanuele Principi, Stefano Squartini, Francesco Piazza
2011	—	`conf`	Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario. ICIC (2) Rudy Rotili, Emanuele Principi, Stefano Squartini, Björn W. Schuller
2011	—	`conf`	Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents. ISNN (2) Martin Wöllmer, Erik Marchi, Stefano Squartini, Björn W. Schuller
2010	—	`conf`	A Group Selection Evolutionary Extreme Learning Machine approach for Time-Variant Neural Networks. WIRN Yibin Ye, Stefano Squartini, Francesco Piazza
2010	—	`conf`	A variable step-size frequency-domain adaptive filtering algorithm for stereophonic acoustic echo cancellation. EUSIPCO Laura Romoli, Stefano Squartini, Francesco Piazza
2010	—	`conf`	An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR. COST 2102 Training School Simone Cifani, Emanuele Principi, Rudy Rotili, Stefano Squartini, Francesco Piazza
2010	J	`jnl`	Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. J. Electr. Comput. Eng. Emanuele Principi, Simone Cifani, Rudy Rotili, Stefano Squartini, Francesco Piazza
2010	—	`conf`	Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition. COST 2102 Conference Stefano Squartini, Emanuele Principi, Simone Cifani, Rudy Rotili, Francesco Piazza
2010	—	`conf`	Incremental-Based Extreme Learning Machine Algorithms for Time-Variant Neural Networks. ICIC (1) Yibin Ye, Stefano Squartini, Francesco Piazza
2010	—	`conf`	Joint Multichannel Blind Speech Separation and Dereverberation: A Real-Time Algorithmic Implementation. ICIC (3) Rudy Rotili, Claudio De Simone, Alessandro Perelli, Simone Cifani, Stefano Squartini
2010	—	`conf`	Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition. WIRN Stefano Squartini, Marco Fagiani, Emanuele Principi, Francesco Piazza
2010	C	`conf`	Robust speech recognition using feature-domain multi-channel bayesian estimators. ISCAS Emanuele Principi, Rudy Rotili, Simone Cifani, Lorenzo Marinelli, Stefano Squartini, Francesco Piazza
2009	—	`conf`	A real-time Speech-interfaced System for Group Conversation Modeling. WIRN Cesare Rocchi, Emanuele Principi, Simone Cifani, Rudy Rotili, Stefano Squartini, Francesco Piazza
2008	—	`conf`	A Blind Source Separation Based Approach for Speech Enhancement in Noisy and Reverberant Environment. COST 2102 Conference (Prague) Alessio Pignotti, Daniele Marcozzi, Simone Cifani, Stefano Squartini, Francesco Piazza
2008	—	`conf`	A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances. APCCAS Rudy Rotili, Simone Cifani, Emanuele Principi, Stefano Squartini, Francesco Piazza
2008	—	`conf`	An Investigation into Audiovisual Speech Correlation in Reverberant Noisy Environments. COST 2102 Conference (Prague) Simone Cifani, Andrew Abel, Amir Hussain, Stefano Squartini, Francesco Piazza
2008	—	`conf`	An extreme learning machine approach for training Time Variant Neural Networks. APCCAS Cristiano Cingolani, Stefano Squartini, Francesco Piazza
2008	J	`jnl`	Stability analysis of natural gradient learning rules in overdetermined ICA. Signal Process. Stefano Squartini, Andrea Arcangeli, Francesco Piazza
2007	—	`conf`	A Novel Psychoacoustically Motivated Multichannel Speech Enhancement System. COST 2102 Workshop (Vietri) Amir Hussain, Simone Cifani, Stefano Squartini, Francesco Piazza, Tariq S. Durrani
2007	C	`conf`	Discrete Stockwell Transform and Reduced Redundancy Versions from Frame Theory Viewpoint. ISCAS Alessandro Bastari, Stefano Squartini, Francesco Piazza
2007	—	`conf`	Echo State Networks for Real-Time Audio Applications. ISNN (3) Stefano Squartini, Stefania Cecchi, Michele Rossini, Francesco Piazza
2007	—	`conf`	Gaussianization Based Approach for Post-Nonlinear Underdetermined BSS with Delays. ISNN (3) Alessandro Bastari, Stefano Squartini, Stefania Cecchi, Francesco Piazza
2007	J	`jnl`	Stability Analysis of Natural Gradient Learning Rules in Complete ICA: A Unifying Perspective. IEEE Signal Process. Lett. Stefano Squartini, Andrea Arcangeli, Francesco Piazza
2006	J	`jnl`	Industry-oriented software-based system for quality evaluation of vehicle audio environments. IEEE Trans. Ind. Electron. Francesco Piazza, Stefano Squartini, Romolo Toppi, Massimo Navarri, M. Pontillo, Ferruccio Bettarelli, Ariano Lattanzi
2006	C	`conf`	New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA. ISCAS Stefano Squartini, Francesco Piazza, Fabian J. Theis
2005	—	`conf`	A new time-variant neural based approach for nonstationary and non-linear system identification. ISCAS (5) Alessio Titti, Stefano Squartini, Francesco Piazza
2005	—	`conf`	An ICA based approach for blind deconvolution of three-dimensional signals. ISCAS (6) Emanuele Principi, Stefano Squartini, Francesco Piazza
2005	—	`conf`	An alternative natural gradient approach for multichannel blind deconvolution. ISCAS (6) Massimo Tomassoni, Stefano Squartini, Francesco Piazza
2005	—	`conf`	New Riemannian metrics for improvement of convergence speed in ICA based learning algorithms. ISCAS (4) Stefano Squartini, Francesco Piazza, A. Shawker
2005	—	`conf`	Nonlinear Speech Enhancement: An Overview. WNSP Amir Hussain, Mohamed Chetouani, Stefano Squartini, Alessandro Bastari, Francesco Piazza
2005	—	`conf`	Novel Sub-band Adaptive Systems Incorporating Wiener Filtering for Binaural Speech Enhancement. NOLISP Amir Hussain, Stefano Squartini, Francesco Piazza
2004	—	`conf`	A novel signal flow graph based solution for calculation of first and second derivatives of dynamical nonlinear systems. EUSIPCO Andrea Arcangeli, Stefano Squartini, Francesco Piazza
2004	—	`conf`	An alternative natural gradient approach for ICA based learning algorithms in blind source separation. EUSIPCO Andrea Arcangeli, Stefano Squartini, Francesco Piazza
2004	B	`conf`	An approach employing signal sparse representation in wavelet domain for underdetermined blind source separation. IJCNN Eraldo Pomponi, Stefano Squartini, Francesco Piazza
2004	—	`conf`	Calculation of non-mixed second derivatives in multirate systems through signal flow graph techniques. ISCAS (4) Andrea Arcangeli, Stefano Squartini, Francesco Piazza
2004	—	`conf`	Signal Sparsity Enhancement Through Wavelet Transforms in Underdetermined BSS. Summer School on Neural Networks Eraldo Pomponi, Stefano Squartini, Francesco Piazza
2004	—	`conf`	Underdetermined Blind Separation of Speech Signals with Delays in Different Time-Frequency Domains. Summer School on Neural Networks Alessandro Bastari, Stefano Squartini, Francesco Piazza
2003	—	`conf`	A recurrent multiscale architecture for long-term memory prediction task. ICASSP (2) Stefano Squartini, Amir Hussain, Francesco Piazza
2003	B	`conf`	Attempting to reduce the vanishing gradient effect through a novel recurrent multiscale architecture. IJCNN Stefano Squartini, Amir Hussain, Francesco Piazza
2003	—	`conf`	Preprocessing based solution for the vanishing gradient problem in recurrent neural networks. ISCAS (5) Stefano Squartini, Amir Hussain, Francesco Piazza