A recurrent multiscale architecture for long-term memory prediction task. - Stefano Squartini; Amir Hussain 001; Francesco Piazza (ICASSP (2), 2003)

Attempting to reduce the vanishing gradient effect through a novel recurrent multiscale architecture. - Stefano Squartini; Amir Hussain 001; Francesco Piazza (IJCNN, 2003)

Preprocessing based solution for the vanishing gradient problem in recurrent neural networks. - Stefano Squartini; Amir Hussain 001; Francesco Piazza (ISCAS (5), 2003)

A novel signal flow graph based solution for calculation of first and second derivatives of dynamical nonlinear systems. - Andrea Arcangeli; Stefano Squartini; Francesco Piazza (EUSIPCO, 2004)

An alternative natural gradient approach for ICA based learning algorithms in blind source separation. - Andrea Arcangeli; Stefano Squartini; Francesco Piazza (EUSIPCO, 2004)

An approach employing signal sparse representation in wavelet domain for underdetermined blind source separation. - Eraldo Pomponi; Stefano Squartini; Francesco Piazza (IJCNN, 2004)

Calculation of non-mixed second derivatives in multirate systems through signal flow graph techniques. - Andrea Arcangeli; Stefano Squartini; Francesco Piazza (ISCAS (4), 2004)

Underdetermined Blind Separation of Speech Signals with Delays in Different Time-Frequency Domains. - Alessandro Bastari; Stefano Squartini; Francesco Piazza (Summer School on Neural Networks, 2004)

Signal Sparsity Enhancement Through Wavelet Transforms in Underdetermined BSS. - Eraldo Pomponi; Stefano Squartini; Francesco Piazza (Summer School on Neural Networks, 2004)

An ICA based approach for blind deconvolution of three-dimensional signals. - Emanuele Principi; Stefano Squartini; Francesco Piazza (ISCAS (6), 2005)

New Riemannian metrics for improvement of convergence speed in ICA based learning algorithms. - Stefano Squartini; Francesco Piazza; A. Shawker (ISCAS (4), 2005)

A new time-variant neural based approach for nonstationary and non-linear system identification. - Alessio Titti; Stefano Squartini; Francesco Piazza (ISCAS (5), 2005)

An alternative natural gradient approach for multichannel blind deconvolution. - Massimo Tomassoni; Stefano Squartini; Francesco Piazza (ISCAS (6), 2005)

Novel Sub-band Adaptive Systems Incorporating Wiener Filtering for Binaural Speech Enhancement. - Amir Hussain 001; Stefano Squartini; Francesco Piazza (NOLISP, 2005)

Nonlinear Speech Enhancement: An Overview. - Amir Hussain 001; Mohamed Chetouani; Stefano Squartini; Alessandro Bastari; Francesco Piazza (WNSP, 2005)

New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA. - Stefano Squartini; Francesco Piazza; Fabian J. Theis (ISCAS, 2006)

Industry-oriented software-based system for quality evaluation of vehicle audio environments. - Francesco Piazza; Stefano Squartini; Romolo Toppi; Massimo Navarri; M. Pontillo; Ferruccio Bettarelli; Ariano Lattanzi (IEEE Trans. Ind. Electron., 2006)

A Novel Psychoacoustically Motivated Multichannel Speech Enhancement System. - Amir Hussain 001; Simone Cifani; Stefano Squartini; Francesco Piazza; Tariq S. Durrani (COST 2102 Workshop (Vietri), 2007)

Discrete Stockwell Transform and Reduced Redundancy Versions from Frame Theory Viewpoint. - Alessandro Bastari; Stefano Squartini; Francesco Piazza (ISCAS, 2007)

Gaussianization Based Approach for Post-Nonlinear Underdetermined BSS with Delays. - Alessandro Bastari; Stefano Squartini; Stefania Cecchi; Francesco Piazza (ISNN (3), 2007)

Echo State Networks for Real-Time Audio Applications. - Stefano Squartini; Stefania Cecchi; Michele Rossini; Francesco Piazza (ISNN (3), 2007)

Stability Analysis of Natural Gradient Learning Rules in Complete ICA: A Unifying Perspective. - Stefano Squartini; Andrea Arcangeli; Francesco Piazza (IEEE Signal Process. Lett., 2007)

An extreme learning machine approach for training Time Variant Neural Networks. - Cristiano Cingolani; Stefano Squartini; Francesco Piazza (APCCAS, 2008)

A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances. - Rudy Rotili; Simone Cifani; Emanuele Principi; Stefano Squartini; Francesco Piazza (APCCAS, 2008)

An Investigation into Audiovisual Speech Correlation in Reverberant Noisy Environments. - Simone Cifani; Andrew Abel; Amir Hussain 001; Stefano Squartini; Francesco Piazza (COST 2102 Conference (Prague), 2008)

A Blind Source Separation Based Approach for Speech Enhancement in Noisy and Reverberant Environment. - Alessio Pignotti; Daniele Marcozzi; Simone Cifani; Stefano Squartini; Francesco Piazza (COST 2102 Conference (Prague), 2008)

Stability analysis of natural gradient learning rules in overdetermined ICA. - Stefano Squartini; Andrea Arcangeli; Francesco Piazza (Signal Process., 2008)

A real-time Speech-interfaced System for Group Conversation Modeling. - Cesare Rocchi; Emanuele Principi; Simone Cifani; Rudy Rotili; Stefano Squartini; Francesco Piazza (WIRN, 2009)

An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR. - Simone Cifani; Emanuele Principi; Rudy Rotili; Stefano Squartini; Francesco Piazza (COST 2102 Training School, 2010)

Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition. - Stefano Squartini; Emanuele Principi; Simone Cifani; Rudy Rotili; Francesco Piazza (COST 2102 Conference, 2010)

A variable step-size frequency-domain adaptive filtering algorithm for stereophonic acoustic echo cancellation. - Laura Romoli; Stefano Squartini; Francesco Piazza (EUSIPCO, 2010)

Joint Multichannel Blind Speech Separation and Dereverberation: A Real-Time Algorithmic Implementation. - Rudy Rotili; Claudio De Simone; Alessandro Perelli; Simone Cifani; Stefano Squartini (ICIC (3), 2010)

Incremental-Based Extreme Learning Machine Algorithms for Time-Variant Neural Networks. - Yibin Ye; Stefano Squartini; Francesco Piazza (ICIC (1), 2010)

Robust speech recognition using feature-domain multi-channel bayesian estimators. - Emanuele Principi; Rudy Rotili; Simone Cifani; Lorenzo Marinelli; Stefano Squartini; Francesco Piazza (ISCAS, 2010)

Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition. - Stefano Squartini; Marco Fagiani; Emanuele Principi; Francesco Piazza (WIRN, 2010)

A Group Selection Evolutionary Extreme Learning Machine approach for Time-Variant Neural Networks. - Yibin Ye; Stefano Squartini; Francesco Piazza (WIRN, 2010)

Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition. - Emanuele Principi; Simone Cifani; Rudy Rotili; Stefano Squartini; Francesco Piazza (J. Electr. Comput. Eng., 2010)

Conversational Speech Recognition in Non-stationary Reverberated Environments. - Rudy Rotili; Emanuele Principi; Martin Wöllmer; Stefano Squartini; Björn W. Schuller (COST 2102 Training School, 2011)

Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (ICIC (2), 2011)

On-Line Extreme Learning Machine for Training Time-Varying Neural Networks. - Yibin Ye; Stefano Squartini; Francesco Piazza (ICIC (3), 2011)

Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Francesco Piazza (ISNN (2), 2011)

Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents. - Martin Wöllmer; Erik Marchi; Stefano Squartini; Björn W. Schuller (ISNN (2), 2011)

ELM-Based Time-Variant Neural Networks with Incremental Number of Output Basis Functions. - Yibin Ye; Stefano Squartini; Francesco Piazza (ISNN (1), 2011)

A Real-Time Speech Enhancement Framework for Multi-party Meetings. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (NOLISP, 2011)

Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions. - Emanuele Principi; Rudy Rotili; Stefano Squartini (WIRN, 2011)

ELM-based Algorithms for Nonstationary Volterra System Identification. - Yibin Ye; Stefano Squartini; Francesco Piazza (WIRN, 2011)

Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection. - Leonardo Gabrielli; Francesco Piazza; Stefano Squartini (EURASIP J. Adv. Signal Process., 2011)

A New Italian Sign Language Database. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (BICS, 2012)

Optimal Task and Energy Scheduling in Dynamic Residential Scenarios. - Francesco De Angelis 002; Matteo Boaro; Danilo Fuselli; Stefano Squartini; Francesco Piazza; Qinglai Wei; Ding Wang 001 (ISNN (1), 2012)

Optimal Battery Management with ADHDP in Smart Home Environments. - Danilo Fuselli; Francesco De Angelis 002; Matteo Boaro; Derong Liu 001; Qinglai Wei; Stefano Squartini; Francesco Piazza (ISNN (2), 2012)

Dominance Detection in a Reverberated Acoustic Scenario. - Emanuele Principi; Rudy Rotili; Martin Wöllmer; Stefano Squartini; Björn W. Schuller (ISNN (1), 2012)

An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes. - Marco Severini; Stefano Squartini; Francesco Piazza (ISNN (2), 2012)

A Comparison between Different Optimization Techniques for Energy Scheduling in Smart Home Environment. - Francesco De Angelis 002; Matteo Boaro; Danilo Fuselli; Stefano Squartini; Francesco Piazza (WIRN, 2012)

A New System for Automatic Recognition of Italian Sign Language. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (WIRN, 2012)

Real-Time Activity Detection in a Multi-Talker Reverberated Environment. - Emanuele Principi; Rudy Rotili; Martin Wöllmer; Florian Eyben; Stefano Squartini; Björn W. Schuller (Cogn. Comput., 2012)

CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building. - Stefano Squartini; Anna Esposito (Cogn. Comput., 2012)

Cognitive and Emotional Information Processing for Human-Machine Interaction. - Stefano Squartini; Björn W. Schuller; Amir Hussain 001 (Cogn. Comput., 2012)

Stereophonic hands-free communication system based on microphone array fixed beamforming: real-time implementation and evaluation. - Matteo Pirro; Stefano Squartini; Laura Romoli; Francesco Piazza (EURASIP J. Audio Speech Music. Process., 2012)

Environmental robust speech and speaker recognition through multi-channel histogram equalization. - Stefano Squartini; Emanuele Principi; Rudy Rotili; Francesco Piazza (Neurocomputing, 2012)

Home energy resource scheduling algorithms and their dependency on the battery model. - Stefano Squartini; Danilo Fuselli; Matteo Boaro; Francesco De Angelis 002; Francesco Piazza (CIASG, 2013)

Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies. - Florian Eyben; Felix Weninger; Stefano Squartini; Björn W. Schuller (ICASSP, 2013)

A distributed system for recognizing home automation commands and distress calls in the Italian language. - Emanuele Principi; Stefano Squartini; Francesco Piazza; Danilo Fuselli; Maurizio Bonifazi (INTERSPEECH, 2013)

Evaluation of the Wireless M-Bus standard for future smart water grids. - Susanna Spinsante; Mirco Pizzichini; Matteo Mencarelli; Stefano Squartini; Ennio Gambi (IWCMC, 2013)

Smart Home Task and Energy Resource Scheduling Based on Nonlinear Programming. - Marco Severini; Stefano Squartini; Gian Piero Surace; Francesco Piazza (WIRN, 2013)

Learning Capabilities of ELM-Trained Time-Varying Neural Networks. - Stefano Squartini; Yibin Ye; Francesco Piazza (WIRN, 2013)

A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios. - Rudy Rotili; Emanuele Principi; Stefano Squartini; Björn W. Schuller (Cogn. Comput., 2013)

Advances on Brain Inspired Computing. - Stefano Squartini; Sanqing Hu; Qingshan Liu 002 (Cogn. Comput., 2013)

A digital waveguide-based approach for Clavinet modeling and synthesis. - Leonardo Gabrielli; Vesa Välimäki; Henri Penttinen; Stefano Squartini; Stefan Bilbao (EURASIP J. Adv. Signal Process., 2013)

Online sequential extreme learning machine in nonstationary environments. - Yibin Ye; Stefano Squartini; Francesco Piazza (Neurocomputing, 2013)

Energy-aware lazy scheduling algorithm for energy-harvesting sensor nodes. - Marco Severini; Stefano Squartini; Francesco Piazza (Neural Comput. Appl., 2013)

The neural paradigm for complex systems: new algorithms and applications. - Stefano Squartini; Jinhu Lu; Qinglai Wei (Neural Comput. Appl., 2013)

Hybrid soft computing algorithmic framework for smart home energy management. - Marco Severini; Stefano Squartini; Francesco Piazza (Soft Comput., 2013)

Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints. - Francesco De Angelis 002; Matteo Boaro; Danilo Fuselli; Stefano Squartini; Francesco Piazza; Qinglai Wei (IEEE Trans. Ind. Informatics, 2013)

Smart water grids for smart cities: A sustainable prototype demonstrator. - Leonardo Gabrielli; Mirco Pizzichini; Susanna Spinsante; Stefano Squartini; Roberto Gavazzi (EuCNC, 2014)

A nonlinear second-order digital oscillator for Virtual Acoustic Feedback. - Leonardo Gabrielli; M. Giobbi; Stefano Squartini; Vesa Välimäki (ICASSP, 2014)

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks. - Erik Marchi; Giacomo Ferroni; Florian Eyben; Leonardo Gabrielli; Stefano Squartini; Björn W. Schuller (ICASSP, 2014)

Computational Intelligence in Smart water and gas grids: An up-to-date overview. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Mirco Pizzichini; Susanna Spinsante (IJCNN, 2014)

Audio onset detection: A wavelet packet based approach with recurrent neural networks. - Erik Marchi; Giacomo Ferroni; Florian Eyben; Stefano Squartini; Björn W. Schuller (IJCNN, 2014)

Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition. - Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2014)

Computational framework based on task and resource scheduling for micro grid design. - Marco Severini; Stefano Squartini; Francesco Piazza (IJCNN, 2014)

Advanced integration of multimedia assistive technologies: A prospective outlook. - Daniele Liciotti; Giacomo Ferroni; Emanuele Frontoni; Stefano Squartini; Emanuele Principi; Roberto Bonfigli; Primo Zingaretti; Francesco Piazza (MESA, 2014)

Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results. - Susanna Spinsante; Stefano Squartini; Leonardo Gabrielli; Mirco Pizzichini; Ennio Gambi; Francesco Piazza (Int. J. Distributed Sens. Networks, 2014)

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. - Erik Marchi; Fabio Vesperini; Florian Eyben; Stefano Squartini; Björn W. Schuller (ICASSP, 2015)

A novelty detection approach to identify the occurrence of leakage in smart gas and water grids. - Marco Fagiani; Stefano Squartini; Marco Severini; Francesco Piazza (IJCNN, 2015)

A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios. - Giacomo Ferroni; Roberto Bonfigli; Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2015)

Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. - Erik Marchi; Fabio Vesperini; Felix Weninger; Florian Eyben; Stefano Squartini; Björn W. Schuller (IJCNN, 2015)

Energy management with the support of dynamic pricing strategies in real micro-grid scenarios. - Marco Severini; Stefano Squartini; Marco Fagiani; Francesco Piazza (IJCNN, 2015)

Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware. - Marco Severini; Stefano Squartini; Francesco Piazza; Massimo Conti (Ad Hoc Networks, 2015)

An integrated system for voice command recognition and emergency detection based on audio signals. - Emanuele Principi; Stefano Squartini; Roberto Bonfigli; Giacomo Ferroni; Francesco Piazza (Expert Syst. Appl., 2015)

A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Susanna Spinsante; Francesco Piazza (Neurocomputing, 2015)

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm. - Emanuele Principi; Stefano Squartini; Erik Cambria; Francesco Piazza (Neurocomputing, 2015)

Computational Energy Management in Smart Grids. - Stefano Squartini; Derong Liu 001; Francesco Piazza; Dongbin Zhao; Haibo He (Neurocomputing, 2015)

Signer independent isolated Italian sign recognition based on hidden Markov models. - Marco Fagiani; Emanuele Principi; Stefano Squartini; Francesco Piazza (Pattern Anal. Appl., 2015)

Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study. - Marco Fagiani; Stefano Squartini; Leonardo Gabrielli; Susanna Spinsante; Francesco Piazza (Advances in Neural Networks, 2015)

Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring. - Roberto Bonfigli; Marco Severini; Stefano Squartini; Marco Fagiani; Francesco Piazza (CEC, 2016)

Exploiting temporal features and pressure data for automatic leakage detection in smart water grids. - Marco Fagiani; Stefano Squartini; Roberto Bonfigli; Marco Severini; Francesco Piazza (CEC, 2016)

Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. - Erik Marchi; Dario Tonelli; Xinzhou Xu; Fabien Ringeval; Jun Deng; Stefano Squartini; Björn W. Schuller (DCASE, 2016)

DCASE 2016 Acoustic Scene Classification Using Convolutional Neural Networks. - Michele Valenti; Aleksandr Diment; Giambattista Parascandolo; Stefano Squartini; Tuomas Virtanen (DCASE, 2016)

An experimental study on new features for activity of daily living recognition. - Daniele Ferretti; Emanuele Principi; Stefano Squartini; Luigi Mandolini (IJCNN, 2016)

Combining evolution strategies and neural network procedures for compression driver design. - Michele Gasparini; Fabio Vesperini; Stefania Cecchi; Stefano Squartini; Francesco Piazza; Romolo Toppi (IJCNN, 2016)

Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (IJCNN, 2016)

A neural network based algorithm for speaker localization in a multi-room environment. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (MLSP, 2016)

User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring. - Roberto Bonfigli; Emanuele Principi; Stefano Squartini; Marco Fagiani; Marco Severini; Francesco Piazza (SSCI, 2016)

Acoustic cues from the floor: A new approach for fall classification. - Emanuele Principi; Diego Droghini; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Expert Syst. Appl., 2016)

ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis. - Giulio della Porta; Emanuele Principi; Giacomo Ferroni; Stefano Squartini; Amir Hussain 001; Francesco Piazza (Recent Advances in Nonlinear Speech Processing, 2016)

Machine Learning Techniques for the Estimation of Particle Size Distribution in Industrial Plants. - Damiano Rossetti; Stefano Squartini; Stefano Collura (Advances in Neural Networks, 2016)

A new open-source Energy Management framework: Functional description and preliminary results. - Marco Fagiani; Marco Severini; Stefano Squartini; Lucio Ciabattoni; Francesco Ferracuti; Alessandro Fonti; Gabriele Comodi (CEC, 2017)

A neural network approach for sound event detection in real life audio. - Michele Valenti; Dario Tonelli; Fabio Vesperini; Emanuele Principi; Stefano Squartini (EUSIPCO, 2017)

Road Type Classification Using Acoustic Signals: Deep Learning Models and Real-Time Implementation. - Giovanni Pepe; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini; Luca Cattani (IIH-MSP (1), 2017)

Acoustic novelty detection with adversarial autoencoders. - Emanuele Principi; Fabio Vesperini; Stefano Squartini; Francesco Piazza (IJCNN, 2017)

A convolutional neural network approach for acoustic scene classification. - Michele Valenti; Stefano Squartini; Aleksandr Diment; Giambattista Parascandolo; Tuomas Virtanen (IJCNN, 2017)

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Comput. Intell. Neurosci., 2017)

Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection. - Erik Marchi; Fabio Vesperini; Stefano Squartini; Björn W. Schuller (Comput. Intell. Neurosci., 2017)

Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks. - Daniele Ferretti; Marco Severini; Emanuele Principi; Annalisa Cenci; Stefano Squartini (EUSIPCO, 2018)

Deep Neural Networks for Joint Voice Activity Detection and Speaker Localization. - Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (EUSIPCO, 2018)

Hierarchic Conv Nets Framework for Rare Sound Event Detection. - Fabio Vesperini; Diego Droghini; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (EUSIPCO, 2018)

Depth-Based Fall Detection: Outcomes from a Real Life Pilot. - Susanna Spinsante; Marco Fagiani; Marco Severini; Stefano Squartini; Friedrich Ellmenreich; Giusy Martelli (ForItAAL, 2018)

Collaborative Energy Management in Micro-Grid environments through multi-objective optimization. - Marco Severini; Ornella Pisacane; Marco Fagiani; Stefano Squartini (IJCNN, 2018)

Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring. - Michele Valenti; Roberto Bonfigli; Emanuele Principi; Stefano Squartini (IJCNN, 2018)

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks. - Fabio Vesperini; Andrea Galli; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IJCNN, 2018)

An IoT Solution for Energy Management at Building and District Level. - Marco Arnesano; Jack Dyson; Marco Fagiani; Adriano Mancini; Gian Marco Revel; Marco Severini; Stefano Squartini; Lorenzo Zampetti; Primo Zingaretti (MESA, 2018)

Localizing speakers in multiple rooms by using Deep Neural Networks. - Fabio Vesperini; Paolo Vecchiotti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Comput. Speech Lang., 2018)

Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing. - Stefano Squartini; Björn W. Schuller; Aurelio Uncini; Chuan-Kang Ting (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. - Dongbin Zhao; Derong Liu 001; Frank L. Lewis; José C. Príncipe; Stefano Squartini (IEEE Trans. Neural Networks Learn. Syst., 2018)

Human Fall Detection by Using an Innovative Floor Acoustic Sensor. - Diego Droghini; Emanuele Principi; Stefano Squartini; Paolo Olivetti; Francesco Piazza (Multidisciplinary Approaches to Neural Computing, 2018)

Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment. - Paolo Vecchiotti; Fabio Vesperini; Emanuele Principi; Stefano Squartini; Francesco Piazza (Multidisciplinary Approaches to Neural Computing, 2018)

End-to-end Binaural Sound Localisation from the Raw Waveform. - Paolo Vecchiotti; Ning Ma 002; Stefano Squartini; Guy J. Brown (ICASSP, 2019)

Processing Acoustic Data with Siamese Neural Networks for Enhanced Road Roughness Classification. - Leonardo Gabrielli; Livio Ambrosini; Fabio Vesperini; Valeria Bruschi; Stefano Squartini; Luca Cattani (IJCNN, 2019)

Automatic Detection of Cry Sounds in Neonatal Intensive Care Units by Using Deep Learning and Acoustic Scene Simulation. - Marco Severini; Daniele Ferretti; Emanuele Principi; Stefano Squartini (IEEE Access, 2019)

The Speed Submission to DIHARD II: Contributions & Lessons Learned. - Md. Sahidullah; Jose Patino 001; Samuele Cornell; Ruiqing Yin; Sunit Sivasankaran; Hervé Bredin; Pavel Korshunov; Alessio Brutti; Romain Serizel; Emmanuel Vincent 001; Nicholas W. D. Evans; Sébastien Marcel; et al. (CoRR, 2019)

Detection of activity and position of speakers by using deep neural networks and acoustic data augmentation. - Paolo Vecchiotti; Giovanni Pepe; Emanuele Principi; Stefano Squartini (Expert Syst. Appl., 2019)

Unsupervised electric motor fault detection by using deep autoencoders. - Emanuele Principi; Damiano Rossetti; Stefano Squartini; Francesco Piazza (IEEE CAA J. Autom. Sinica, 2019)

Polyphonic Sound Event Detection by Using Capsule Neural Networks. - Fabio Vesperini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (IEEE J. Sel. Top. Signal Process., 2019)

A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. - Leonardo Gabrielli; Stefano Tomassetti; Stefano Squartini; Carlo Zinato; Stefano Guaiana (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection. - Diego Droghini; Daniele Ferretti; Emanuele Principi; Stefano Squartini; Francesco Piazza (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Gravitational Search Algorithm for IIR Filter-Based Audio Equalization. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Luca Cattani; Carlo Tripodi (EUSIPCO, 2020)

Emergency Siren Recognition in Urban Scenarios: Synthetic Dataset and Deep Learning Models. - Michela Cantarini; Luca Serafini; Leonardo Gabrielli; Emanuele Principi; Stefano Squartini (ICIC (1), 2020)

A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. - Samuele Cornell; Emanuele Principi; Stefano Squartini (IJCNN, 2020)

Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. - Marco Severini; Emanuele Principi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IJCNN, 2020)

Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. - Samuele Cornell; Maurizio Omologo; Stefano Squartini; Emmanuel Vincent 001 (INTERSPEECH, 2020)

Deep Learning for Individual Listening Zone. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Luca Cattani; Carlo Tripodi (MMSP, 2020)

Transfer Learning for Non-Intrusive Load Monitoring. - Michele D'Incecco; Stefano Squartini; Mingjun Zhong (IEEE Trans. Smart Grid, 2020)

Neural Beamforming for Speech Enhancement: Preliminary Results. - Stefano Tomassetti; Leonardo Gabrielli; Emanuele Principi; Daniele Ferretti; Stefano Squartini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection. - Fabio Vesperini; Luca Romeo; Emanuele Principi; Andrea Monteriù; Stefano Squartini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Graph-based Representation of Audio signals for Sound Event Classification. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2021)

Acoustic Features for Deep Learning-Based Models for Emergency Siren Detection: An Evaluation Study. - Michela Cantarini; Anna Brocanelli; Leonardo Gabrielli; Stefano Squartini (ISPA, 2021)

Learning to Rank Microphones for Distant Speech Recognition. - Samuele Cornell; Alessio Brutti; Marco Matassoni; Stefano Squartini (Interspeech, 2021)

Audio Metric Learning by Using Siamese Autoencoders for One-Shot Human Fall Detection. - Diego Droghini; Stefano Squartini; Emanuele Principi; Leonardo Gabrielli; Francesco Piazza (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. - Andrea Castellani; Sebastian Schmitt; Stefano Squartini (IEEE Trans. Ind. Informatics, 2021)

Tackling the Linear Sum Assignment Problem with Graph Neural Networks. - Carlo Aironi; Samuele Cornell; Stefano Squartini (AII, 2022)

Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. - Michela Cantarini; Leonardo Gabrielli; Lucia Migliorelli; Adriano Mancini; Stefano Squartini (AII, 2022)

Weakly Supervised Transfer Learning for Multi-label Appliance Classification. - Giulia Tanoni; Emanuele Principi; Luigi Mandolini; Stefano Squartini (AII, 2022)

Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2022)

A Multiple Instance Regression Approach to Electrical Load Disaggregation. - Luca Serafini; Giulia Tanoni; Emanuele Principi; Susanna Spinsante; Stefano Squartini (EUSIPCO, 2022)

Learning Filterbanks for End-to-End Acoustic Beamforming. - Samuele Cornell; Manuel Pariente; François Grondin; Stefano Squartini (ICASSP, 2022)

Digital Filters Design for Personal Sound Zones: a Neural Approach. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Carlo Tripodi; Nicolo Strozzi (IJCNN, 2022)

Low-Latency Speech Separation Guided Diarization for Telephone Conversations. - Giovanni Morrone; Samuele Cornell; Desh Raj; Luca Serafini; Enrico Zovato; Alessio Brutti; Stefano Squartini (SLT, 2022)

Overlapped Speech Detection and speaker counting using distant microphone arrays. - Samuele Cornell; Maurizio Omologo; Stefano Squartini; Emmanuel Vincent 001 (Comput. Speech Lang., 2022)

Few-Shot Emergency Siren Detection. - Michela Cantarini; Leonardo Gabrielli; Stefano Squartini (Sensors, 2022)

Antiderivative Antialiasing for Arbitrary Waveform Generation. - Leonardo Gabrielli; Stefano D'Angelo; Pier Paolo La Pastina; Stefano Squartini (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Deep Optimization of Parametric IIR Filters for Audio Equalization. - Giovanni Pepe; Leonardo Gabrielli; Stefano Squartini; Carlo Tripodi; Nicolo Strozzi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. - Carlo Aironi; Samuele Cornell; Luca Serafini; Stefano Squartini (EUSIPCO, 2023)

Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. - Samuele Cornell; Zhong-Qiu Wang 001; Yoshiki Masuyama; Shinji Watanabe 001; Manuel Pariente; Nobutaka Ono; Stefano Squartini (ICASSP, 2023)

A Score-aware Generative Approach for Music Signals Inpainting. - Carlo Aironi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IS2, 2023)

Joint Detection and Active Cancellation of Snoring Signals in Real-Time. - Luca Serafini; Valeria Bruschi; Stefano Nobili; Emanuele Principi; Stefania Cecchi; Stefano Squartini (IS2, 2023)

An Enhanced System for the Detection and Active Cancellation of Snoring Signals. - Valeria Bruschi; Michela Cantarini; Luca Serafini; Stefano Nobili; Stefania Cecchi; Stefano Squartini (MLSP, 2023)

Appliance-Incremental Learning for Non-Intrusive Load Monitoring. - Giulia Tanoni; Emanuele Principi; Luigi Mandolini; Stefano Squartini (SmartGridComm, 2023)

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. - Samuele Cornell; Matthew Wiesner; Shinji Watanabe 001; Desh Raj; Xuankai Chang; Paola García 001; Yoshiki Masuyama; Zhong-Qiu Wang 001; Stefano Squartini; Sanjeev Khudanpur (CoRR, 2023)

Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring. - Giulia Tanoni; Emanuele Principi; Stefano Squartini (IEEE Trans. Smart Grid, 2023)

An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. - Luca Serafini; Samuele Cornell; Giovanni Morrone; Enrico Zovato; Alessio Brutti; Stefano Squartini (Comput. Speech Lang., 2023)

A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis. - Lucia Migliorelli; Lorenzo Scoppolini Massini; Michela Coccia; Laura Villani; Emanuele Frontoni; Stefano Squartini (Comput. Methods Programs Biomed., 2023)

One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. - Samuele Cornell; Jee-Weon Jung; Shinji Watanabe 001; Stefano Squartini (ICASSP, 2024)

An advanced multimodal driver-assistance prototype for emergency-vehicle detection. - Leonardo Gabrielli; Lucia Migliorelli; Michela Cantarini; Adriano Mancini; Stefano Squartini (Integr. Comput. Aided Eng., 2024)

End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. - Giovanni Morrone; Samuele Cornell; Luca Serafini; Enrico Zovato; Alessio Brutti; Stefano Squartini (Speech Commun., 2024)

A Graph-Based Neural Approach to Linear Sum Assignment Problems. - Carlo Aironi; Samuele Cornell; Stefano Squartini (Int. J. Neural Syst., 2024)

Knowledge Distillation for Scalable Nonintrusive Load Monitoring. - Giulia Tanoni; Lina Stankovic; Vladimir Stankovic 001; Stefano Squartini; Emanuele Principi (IEEE Trans. Ind. Informatics, 2024)

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. - Cosimo Ieracitano; Francesco Carlo Morabito; Stefano Squartini; Kaizhu Huang; Xuelong Li 001; Mufti Mahmud (Cogn. Comput., 2024)

A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households. - Giulia Tanoni; Redemptor Laceda Taloma; Emanuele Principi; Danilo Comminiello; Stefano Squartini (ISCAS, 2025)

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge. - Djordje Batic; Giulia Tanoni; Emanuele Principi; Lina Stankovic; Vladimir Stankovic 001; Stefano Squartini (Expert Syst. Appl., 2025)

A weakly supervised active learning framework for non-intrusive load monitoring. - Giulia Tanoni; Tamara Sobot; Emanuele Principi; Vladimir Stankovic 001; Lina Stankovic; Stefano Squartini (Integr. Comput. Aided Eng., 2025)

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges. - Samuele Cornell; Christoph Boeddeker; Taejin Park; He Huang 012; Desh Raj; Matthew Wiesner; Yoshiki Masuyama; Xuankai Chang; Zhongqiu Wang 001; Stefano Squartini; Paola García 001; Shinji Watanabe 001 (CoRR, 2025)