Stefano Squartini

According to our database1, Stefano Squartini authored at least 113 papers between 2003 and 2018.

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2018
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2018

Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing.
IEEE Trans. Emerging Topics in Comput. Intellig., 2018

Localizing speakers in multiple rooms by using Deep Neural Networks.
Computer Speech & Language, 2018

Polyphonic Sound Event Detection by using Capsule Neural Networks.
CoRR, 2018

A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation.
CoRR, 2018

An IoT Solution for Energy Management at Building and District Level.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018

Snore Sounds Excitation Localization by Using Scattering Transform and Deep Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Collaborative Energy Management in Micro-Grid environments through multi-objective optimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.
Comp. Int. and Neurosc., 2017

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features.
Comp. Int. and Neurosc., 2017

A convolutional neural network approach for acoustic scene classification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Acoustic novelty detection with adversarial autoencoders.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A neural network approach for sound event detection in real life audio.
Proceedings of the 25th European Signal Processing Conference, 2017

A new open-source Energy Management framework: Functional description and preliminary results.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Acoustic cues from the floor: A new approach for fall classification.
Expert Syst. Appl., 2016

User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A neural network based algorithm for speaker localization in a multi-room environment.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Combining evolution strategies and neural network procedures for compression driver design.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An experimental study on new features for activity of daily living recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Exploiting temporal features and pressure data for automatic leakage detection in smart water grids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Signer independent isolated Italian sign recognition based on hidden Markov models.
Pattern Anal. Appl., 2015

Computational Energy Management in Smart Grids.
Neurocomputing, 2015

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm.
Neurocomputing, 2015

A review of datasets and load forecasting techniques for smart natural gas and water grids: Analysis and experiments.
Neurocomputing, 2015

An integrated system for voice command recognition and emergency detection based on audio signals.
Expert Syst. Appl., 2015

Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware.
Ad Hoc Networks, 2015

Energy management with the support of dynamic pricing strategies in real micro-grid scenarios.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A novelty detection approach to identify the occurrence of leakage in smart gas and water grids.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Wireless M-Bus Sensor Networks for Smart Water Grids: Analysis and Results.
IJDSN, 2014

Computational framework based on task and resource scheduling for micro grid design.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Power Normalized Cepstral Coefficients based supervectors and i-vectors for small vocabulary speech recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Audio onset detection: A wavelet packet based approach with recurrent neural networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Computational Intelligence in Smart water and gas grids: An up-to-date overview.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

A nonlinear second-order digital oscillator for Virtual Acoustic Feedback.
Proceedings of the IEEE International Conference on Acoustics, 2014

Smart water grids for smart cities: A sustainable prototype demonstrator.
Proceedings of the European Conference on Networks and Communications, 2014

2013
Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints.
IEEE Trans. Industrial Informatics, 2013

Hybrid soft computing algorithmic framework for smart home energy management.
Soft Comput., 2013

The neural paradigm for complex systems: new algorithms and applications.
Neural Computing and Applications, 2013

Energy-aware lazy scheduling algorithm for energy-harvesting sensor nodes.
Neural Computing and Applications, 2013

Online sequential extreme learning machine in nonstationary environments.
Neurocomputing, 2013

A digital waveguide-based approach for Clavinet modeling and synthesis.
EURASIP J. Adv. Sig. Proc., 2013

Advances on Brain Inspired Computing.
Cognitive Computation, 2013

A Real-Time Speech Enhancement Framework in Noisy and Reverberated Acoustic Scenarios.
Cognitive Computation, 2013

Learning Capabilities of ELM-Trained Time-Varying Neural Networks.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Smart Home Task and Energy Resource Scheduling Based on Nonlinear Programming.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Evaluation of the Wireless M-Bus standard for future smart water grids.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

A distributed system for recognizing home automation commands and distress calls in the Italian language.
Proceedings of the INTERSPEECH 2013, 2013

Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies.
Proceedings of the IEEE International Conference on Acoustics, 2013

Home energy resource scheduling algorithms and their dependency on the battery model.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

2012
Environmental robust speech and speaker recognition through multi-channel histogram equalization.
Neurocomputing, 2012

Stereophonic hands-free communication system based on microphone array fixed beamforming: real-time implementation and evaluation.
EURASIP J. Audio, Speech and Music Processing, 2012

Cognitive and Emotional Information Processing for Human-Machine Interaction.
Cognitive Computation, 2012

CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building.
Cognitive Computation, 2012

Real-Time Activity Detection in a Multi-Talker Reverberated Environment.
Cognitive Computation, 2012

A New System for Automatic Recognition of Italian Sign Language.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

A Comparison between Different Optimization Techniques for Energy Scheduling in Smart Home Environment.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Dominance Detection in a Reverberated Acoustic Scenario.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Optimal Battery Management with ADHDP in Smart Home Environments.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Optimal Task and Energy Scheduling in Dynamic Residential Scenarios.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A New Italian Sign Language Database.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2011
Adaptive Linear Prediction Filtering in DWT Domain for Real-Time Musical Onset Detection.
EURASIP J. Adv. Sig. Proc., 2011

ELM-based Algorithms for Nonstationary Volterra System Identification.
Proceedings of the Neural Nets WIRN11, 2011

Enhanced Multichannel Histogram Equalization for Speech Recognition in noisy acoustic conditions.
Proceedings of the Neural Nets WIRN11, 2011

A Real-Time Speech Enhancement Framework for Multi-party Meetings.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

ELM-Based Time-Variant Neural Networks with Incremental Number of Output Basis Functions.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

On-Line Extreme Learning Machine for Training Time-Varying Neural Networks.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Real-Time Speech Recognition in a Multi-talker Reverberated Acoustic Scenario.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Conversational Speech Recognition in Non-stationary Reverberated Environments.
Proceedings of the Cognitive Behavioural Systems, 2011

2010
Comparative Evaluation of Single-Channel MMSE-Based Noise Reduction Schemes for Speech Recognition.
J. Electrical and Computer Engineering, 2010

A Group Selection Evolutionary Extreme Learning Machine approach for Time-Variant Neural Networks.
Proceedings of the Neural Nets WIRN10, 2010

Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition.
Proceedings of the Neural Nets WIRN10, 2010

Robust speech recognition using feature-domain multi-channel bayesian estimators.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Incremental-Based Extreme Learning Machine Algorithms for Time-Variant Neural Networks.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Joint Multichannel Blind Speech Separation and Dereverberation: A Real-Time Algorithmic Implementation.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

A variable step-size frequency-domain adaptive filtering algorithm for stereophonic acoustic echo cancellation.
Proceedings of the 18th European Signal Processing Conference, 2010

Efficient SNR Driven SPLICE Implementation for Robust Speech Recognition.
Proceedings of the Analysis of Verbal and Nonverbal Communication and Enactment. The Processing Issues, 2010

An Evaluation Study on Speech Feature Densities for Bayesian Estimation in Robust ASR.
Proceedings of the Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues, 2010

2009
A real-time Speech-interfaced System for Group Conversation Modeling.
Proceedings of the Neural Nets WIRN09, 2009

2008
Stability analysis of natural gradient learning rules in overdetermined ICA.
Signal Processing, 2008

A Blind Source Separation Based Approach for Speech Enhancement in Noisy and Reverberant Environment.
Proceedings of the Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions, 2008

An Investigation into Audiovisual Speech Correlation in Reverberant Noisy Environments.
Proceedings of the Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions, 2008

A robust iterative inverse filtering approach for speech dereverberation in presence of disturbances.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

An extreme learning machine approach for training Time Variant Neural Networks.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

2007
Stability Analysis of Natural Gradient Learning Rules in Complete ICA: A Unifying Perspective.
IEEE Signal Process. Lett., 2007

Echo State Networks for Real-Time Audio Applications.
Proceedings of the Advances in Neural Networks, 2007

Gaussianization Based Approach for Post-Nonlinear Underdetermined BSS with Delays.
Proceedings of the Advances in Neural Networks, 2007

Discrete Stockwell Transform and Reduced Redundancy Versions from Frame Theory Viewpoint.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

A Novel Psychoacoustically Motivated Multichannel Speech Enhancement System.
Proceedings of the Verbal and Nonverbal Communication Behaviours, 2007

2006
Industry-oriented software-based system for quality evaluation of vehicle audio environments.
IEEE Trans. Industrial Electronics, 2006

New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
Nonlinear Speech Enhancement: An Overview.
Proceedings of the Progress in Nonlinear Speech Processing, 2005

Novel Sub-band Adaptive Systems Incorporating Wiener Filtering for Binaural Speech Enhancement.
Proceedings of the Nonlinear Analyses and Algorithms for Speech Processing, 2005

An alternative natural gradient approach for multichannel blind deconvolution.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

A new time-variant neural based approach for nonstationary and non-linear system identification.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

New Riemannian metrics for improvement of convergence speed in ICA based learning algorithms.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An ICA based approach for blind deconvolution of three-dimensional signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
Signal Sparsity Enhancement Through Wavelet Transforms in Underdetermined BSS.
Proceedings of the Nonlinear Speech Modeling and Applications, 2004

Underdetermined Blind Separation of Speech Signals with Delays in Different Time-Frequency Domains.
Proceedings of the Nonlinear Speech Modeling and Applications, 2004

Calculation of non-mixed second derivatives in multirate systems through signal flow graph techniques.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

An alternative natural gradient approach for ICA based learning algorithms in blind source separation.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

A novel signal flow graph based solution for calculation of first and second derivatives of dynamical nonlinear systems.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Preprocessing based solution for the vanishing gradient problem in recurrent neural networks.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A recurrent multiscale architecture for long-term memory prediction task.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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