# selected Publications

This page considers some selected publications from 2005 onwards. [Under construction]

## 2024

Conference Papers

Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang, Danilo Comminiello, "Enhancing Semantic Communication with Deep Generative Models: An Overview", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 13021-13025, April 2024.

Alireza Nezamdoust, Mario Huemer, Aurelio Uncini, Danilo Comminiello, "Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 886-890, April 2024.

Marco Comunità, Riccardo F Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D Reiss, "Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 936-940, April 2024.

Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello, "Diffusion models for audio semantic communication", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp. 13136-13140, April 2024.

Articles

M. Scarpiniti, R. Parisi and Y.-C. Lee, "A Scalogram-Based CNN Approach for Audio Classification in Construction Sites", Applied Sciences, Vol. 14, N. 1, Paper 90, pp. 1-17, January 2024.

R. F. Gramaccioni, C. Marinoni, C. Chen, A. Uncini, D. Comminiello, "L3DAS23: Learning 3D Audio Sources for Audio-Visual Extended Reality", IEEE Open Journal of Signal Processing, March 2024

E. Lopez, F. Betello, F. Carmignani, E. Grassucci, D. Comminiello, "Attention-map augmentation for hypercomplex breast cancer classification", Pattern Recognition Letters, Vol.182, pp. 140-146, June 2024.

## 2023

Conference Papers

Mancanelli Matteo, Grassucci Eleonora, Uncini Aurelio, Comminiello Danilo, "PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023.

Vieira Guillherme, Valle Marcods Eduardo, Grassucci Eleonora, Comminiello Danilo, "Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023.

M. Scarpiniti, E. Sigismondi, D. Comminiello, and A. Uncini. "A U-Net based architecture for automatic music transcription", 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, pp. 1-6, September 17–20, 2023.

Sigillo Luigi, Marzilli, Alessandro, Moretti Daniela, Grassuci Eleonora, Greco Claudio, Comminiello Danilo, "Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023.

Telyatnikov Lev, Scardapane Simone, "EGG-GAE: scalable graph neural networks for tabular data imputation", International Conference on Artificial Intelligence and Statistics, AISTATS 2023.

Lopez Eleonora, Chiarantano Eleonora, Grassucci Eleonora, Comminiello Danilo, "Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals", ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops.

Sigillo Luigi, Grassuci Eleonora, Comminiello Danilo, "StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation", IEEE International Symposium on Circuits and Systems, ISCAS, 2023.

G. Di Marco, D. Comminiello, M. Scarpiniti, and A. Uncini, "Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting", IEEE 30th International Conference on Electronics, Circuits and Systems (ICECS 2023), Istanbul, Turkey, pp. 1-4, December 4–7, 2023.

Articles

Guizzo Eric, Weyde Tillman, Scardapane Simone, Comminiello Danilo, "Learning Speech Emotion Representations in the Quaternion Domain", IEEE/ACM Transactions on Audio Speech and Language Processing.

Pomponi Jary, Scardapane Simone, Uncini Aurelio, "Continual learning with invertible generative models", Neural Networks.

Comminiello Danilo, Nezamdoust Alireza, Scardapane Simone, Scarpiniti Michele, Hussain Amir, Uncini Aurelio, "A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling", IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, N. 3, pp. 1384-1396, March 2023.

Marsocci Valerio, Scaradpane Simone, "Continual barlow twins: continual self-supervised learning for remote sensing semantic segmentation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.

Devoto Alessio, Spinelli Indro, Murabito Francesca, Chiovoloni Fabrizi, Musmeci Riccardo, Scardapane Simone, "Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks", IEEE Transactions on Industrial Informatics.

Grassucci Eleonora, Sigillo Luigi, Uncini Aurelio, Comminiello Danilo, "GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging", IEEE Signal Processing Letters.

Grassucci Eleonora, Mancini Gioia, Brignone Christian, Uncini Aurelio, Comminiello Danilo, "Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation", Pattern Recognition Letters, 166, February 2023, pp.24-30.

S. Sarv Ahrabi, A. Momenzadeh, E. Baccarelli, M. Scarpiniti and L. Piazzo, "How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study", The Journal of Supercomputing, Vol. 79, N. 3, pp. 2850-2881, 2023.

E. Baccarelli, M. Scarpiniti and A. Momenzadeh, "Twinned Residual Auto-Encoder (TRAE)—A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images", Expert Systems with Applications, Vol. 225, Paper 120104, pp. 1-24, September 2023.

## 2022

Conference Papers

Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello, "Hypercomplex Image- to- Image Translation", Proceedings of the International Joint Conference on Neural Networks, IJCNN 2022.

M. Scarpiniti, C. Mauri, D. Comminiello, A. Uncini, and Y.-C. Lee, "CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites", Proceedings of the 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padova, Italy, pp. 1-8, July 18-23, 2022.

Articles

Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane, "Self-supervised learning for medieval handwriting identification: a case study from the Vatican Apostolic Library", Information Processing & Management (under press).

Christian Brignone, Gioia Mancini, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello, "Efficient Sound Event Localization and Detection in the Quaternion Domain", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 5, pp. 2453-2457, May 2022.

Jary Pomponi, Simone Scardapane, Aurelio Uncini, "A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models", Entropy, 24(1), pp. 1-14, 2022.

M. Scarpiniti, S. Sarv Ahrabi, E. Baccarelli, L. Piazzo and A. Momenzadeh, "A Novel Unsupervised Approach Based on Hidden Features of Deep Denoising Autoencoders for COVID-19 Disease Detection", Expert Systems with Applications, Vol. 192, Paper 116366, pp. 1-15, April 2022.

S. Sarv Ahrabi, L. Piazzo, A. Momenzadeh, M. Scarpiniti and E. Baccarelli, "Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans", The Journal of Supercomputing, Vol. 78, N. 9, pp. 12024-12045, June 2022.

## 2021

Filippo M. Bianchi, Simone Scardapane, Sigur Løkse, Robert Jenssen, "Reservoir computing approaches for representation and classification of multivariate time series", IEEE Transactions on Neural Networks and Learning Systems, 32(5), pp. 2169-237X, 2021.

Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini, "An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders", Entropy, Vol. 23, N. 7, Paper 856, 2021.

Livia Lilli, Enrico Giarnieri, Simone Scardapane, "A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells", Computational and Mathematical Methods in Medicine, 1-11, pp. 428-437, 2021.

Valerio Marsocci, Simone Scardapane, Nikos Komodakis, "MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing", Remote Sensing, 13(16), pp. 1-17, 2021.

M. Scarpiniti, F. Colasante, S. Di Tanna, M. Ciancia, Y.-C. Lee and A. Uncini, "Deep Belief Network based audio classification for construction sites monitoring", Expert Systems with Applications, Vol. 177, Paper 114839, pp. 1-14, September 2021.

Jary Pomponi, Simone Scardapane, Aurelio Uncini, "Bayesian Neural Networks with Maximum Mean Discrepancy regularization", Neurocomputing, Vol. 453, pp. 428-437, 2021.

Jary Pomponi, Simone Scardapane, Aurelio Uncini, "Structured Ensembles: An approach to reduce the memory footprint of ensemble methods", Neural Networks, Vol. 144, N. 407-418, 2021.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo, "Distributed Training of Graph Convolutional Networks", IEEE Transactions on Signal and Information Processing over Networks, 7, pp. 87-100, 2021.

Indro Spinelli, Simone Scardapane, Aurelio Uncini, "Adaptive Propagation Graph Convolutional Network", IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, N. 10, pp. 4755-4760, 2021.

Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini, "FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning", IEEE Transactions on Artificial Intelligence, In Press, pp. 1-10, 2021.

## 2020

E. Baccarelli, S. Scardapane, M. Scarpiniti, A. Momenzadeh and A. Uncini, "Optimized Training and Scalable Implementation of Conditional Deep Neural Networks with Early Exits for Fog-supported IoT Applications", Information Sciences, Vol. 521, pp. 107-143, June 2020.

Y.-C. Lee, M. Scarpiniti and A. Uncini, "Advanced Sound Classifiers and Performance Analyses for Accurate Audio-based Construction Project Monitoring", The ASCE Journal of Computing in Civil Engineering, Vol. 34, N. 5, Paper 04020030, pp. 1-11, September 2020.

S. Scardapane, M. Scarpiniti, E. Baccarelli and A. Uncini, "Why should we add early exits to neural networks?", Cognitive Computation, Vol. 12, N. 5, pp. 954-966, September 2020.

Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini, "Compressing deep-quaternion neural networks with targeted regularisation", CAAI Trans. Intell. Technol., Vol. 5, N. 3, pp. 172-176, 2020.

Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini, "Efficient continual learning in neural networks with embedding regularization", Neurocomputing, Vol. 397, pp. 139-148, 2020.

Indro Spinelli, Simone Scardapane, Aurelio Uncini, "Missing data imputation with adversarially-trained graph convolutional networks", Neural Networks, Vol. 129, pp. 249-260, 2020.

Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini, "Complex-Valued Neural Networks With Nonparametric Activation Functions", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4, N. 2, pp. 140-150, 2020.

## 2019

D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz and A. Uncini, "Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm", Algorithms, Vol. 12, N. 1, Paper 2, pp. 1-20, January 2019.

M. Scarpiniti, E. Baccarelli, A. Momenzadeh and A. Uncini, "SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data", Applied Sciences, Vol. 9, N. 19, Paper 4193, pp. 1-15, October 2019.

Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini, "Novel mobile palmprint databases for biometric authentication", Int. J. Grid Util. Comput., Vol. 10, N. 5, pp. 465-474, 2019.

Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini, "Joint feature fusion and optimization via deep discriminative model for mobile palmprint verification", J. Electronic Imaging, Vol. 28, N. 4, Paper 043026, 2019.

Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini, "Kafnets: Kernel-based non-parametric activation functions for neural networks", Neural Networks, Vol. 110, pp. 19-32, 2019.

## 2018

Simone Scardapane, Dianhui Wang, Aurelio Uncini, "Bayesian Random Vector Functional-Link Networks for Robust Data Modeling", IEEE Transactions on Cybernetics, Vol. 48, N. 7, pp. 2049-2059, 2018.

Stefano Squartini, Björn W. Schuller, Aurelio Uncini, C.-K. Ting, "Guest Editorial Special Issue on Computational Intelligence for End-to-End Audio Processing", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, N. 2, pp. 89-91, 2018.

M. Scarpiniti, E. Baccarelli, P. G. Vinueza Naranjo, and A. Uncini, "Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers", The Journal of Supercomputing, Vol. 74, N. 5, pp. 2161-2198, May 2018.

## 2017

D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "Combined Nonlinear Filtering Architectures Involving Sparse Functional Link Adaptive Filters", Signal Processing, Vol. 135, pp. 168-178, June 2017.

F. Ortolani, D. Comminiello, M. Scarpiniti and A. Uncini, "Frequency Domain Quaternion Adaptive Filters: Algorithms and Convergence Performance", Signal Processing, Vol. 136, pp. 69-80, July 2017.

Simone Scardapane, Aurelio Uncini, "Semi-supervised Echo State Networks for Audio Classification", Cognitive Computation, Vol. 9, N. 1, pp. 125-135, 2017.

Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini, "Group sparse regularization for deep neural networks", Neurocomputing, Vol. 241. pp. 81-89, 2017.

Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella, "Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion", IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, N. 11, pp. 2699-2711, 2017.

## 2016

M. Scarpiniti, D. Comminiello, G. Scarano, R. Parisi and A. Uncini, "Steady-State Performance of Spline Adaptive Filters", IEEE Transactions on Signal Processing, Vol. 64, N. 4, pp. 816-828, February 2016.

S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "A Semi-Supervised Random Vector Functional-Link Network Based on the Transductive Framework", Information Sciences, Vol. 364-365, pp. 156-166, October 2016.

Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini, "Distributed Reservoir Computing with Sparse Readouts", IEEE Computational Intelligent Magazine, Vol. 11, N. 4, pp. 59-70, 2016.

Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian, "Granular Computing Techniques for Classification and Semantic Characterization of Structured Data", Cognitive Computation, Vol. 8, N. 3, pp. 442-461, 2016.

Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini, "Distributed semi-supervised support vector machines", Neural Networks, Vol. 80, pp. 43-52, 2016.

## 2015

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Nonlinear System Identification using IIR Spline Adaptive Filters", Signal Processing, Vol. 108, pp. 30-35, March 2015.

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Novel Cascade Spline Architectures for the Identification of Nonlinear Systems", IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 62, N. 7, pp. 1825-1835, July 2015.

D. Comminiello, S. Cecchi, M. Scarpiniti, M. Gasparini, L. Romoli, F. Piazza and A. Uncini, "Intelligent Acoustic Interfaces with Multisensor Acquisition for Immersive Reproduction", IEEE Transactions on Multimedia, Vol. 17, N. 8, pp. 1262-1272, August 2015.

D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi and A. Uncini, "Improving Nonlinear Modeling Capabilities of Functional Link Adaptive Filters", Neural Networks, Vol. 69, pp. 51-59, September 2015.

S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "Online Sequential Extreme Learning Machine with Kernels", IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, N. 9, pp. 2214-2220, September 2015.

S. Scardapane, M. Scarpiniti, M. Bucciarelli, F. Colone, M. V. Mansueto and R. Parisi, "Microphone Array Based Classification for Security Monitoring in Unstructured Environments", AEÜ – International Journal of Electronics and Communications, Vol. 69, N. 11, pp. 1715-1723, November 2015.

Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini, "Distributed learning for Random Vector Functional-Link networks", Information Sciences, Vol. 301, pp. 271-284, 2015.

Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian, "Prediction of telephone calls load using Echo State Network with exogenous variables", Neural Networks, Vol. 71, pp. 204-213, 2015.

## 2014

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Hammerstein Uniform Cubic Spline Adaptive Filters: Learning and Convergence Properties", Signal Processing, Vol. 100, pp. 112-123, July 2014.

D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 22, N. 7, pp. 1172-1183, July 2014.

Enzo Baccarelli, Francesco Chiti, Nicola Cordeschi, Romano Fantacci, Dania Marabissi, Raffaele Parisi, Aurelio Uncini, "Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management", IEEE Wireless Communications, Vol. 21, N. 4, pp. 20-26, 2014.

S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "A Preliminary Study on Transductive Extreme Learning Machines", in Recent Advances of Neural Network Models and Applications, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-319-04128-5, pp. 25-32, Springer, January 2014.

M. Scarpiniti, D. Comminiello, S. Scardapane, R. Parisi and A. Uncini, "Proportionate Algorithms for Blind Source Separation", in Recent Advances of Neural Network Models and Applications, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-319-04128-5, pp. 99-106, Springer, January 2014.

D. Comminiello, S. Cecchi, M. Gasparini, M. Scarpiniti, A. Uncini and F. Piazza, "Advanced Intelligent Acoustic Interfaces for Multichannel Audio Reproduction", in Proc. of 2014 International Joint Conference on Neural Networks (IJCNN2014), Beijing, China, pp. 3577-3584, July 6-11, 2014.

S. Scardapane, G. Nocco, D. Comminiello, M. Scarpiniti and A. Uncini, "An Effective Criterion for Pruning Reservoir’s Connections in Echo State Networks", in Proc. of 2014 International Joint Conference on Neural Networks (IJCNN2014), Beijing, China, pp. 1205-1212, July 6-11, 2014.

S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "GP-Based Kernel Evolution for L2-Regularization Networks", in Proc. of 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014), Beijing, China, pp. 1674-1681, July 6-11, 2014.

M. Scarpiniti and F. Garzia, "Security Monitoring Based on Joint Automatic Speaker Recognition and Blind Source Separation", in Proc. of 48-th International Carnahan Conference on Security Technology (ICCST2014), Rome, Italy, pp. 140-145, October 13-16, 2014.

## 2013

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Nonlinear Spline Adaptive Filtering", Signal Processing, Vol. 93, No. 4, pp. 772-783, April 2013.

D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García, and A. Uncini, "Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation", IEEE Transactions on Audio, Speech, and Language Processing, Vol. 21, N. 7, pp. 1502-1512, July 2013.

D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, "Convergence Properties of Nonlinear Functional Link Adaptive Filters", Electronics Letters, Vol. 49, N. 14, pp. 873-875, July 2013.

D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, "Combined Adaptive Beamforming Schemes for Nonstationary Interfering Noise Reduction", Signal Processing, Vol. 93, N. 12, pp. 3306-3318, December 2013.

S. Scardapane, D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "PM10 Forecasting Using Kernel Adaptive Filtering: an Italian Case Study", in Neural Nets and Surroundings, (B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-642-35466-3, pp. 93-100, Springer, January 2013.

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "A Collaborative Filter Approach to Adaptive Noise Cancellation", in Neural Nets and Surroundings, (B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-642-35466-3, pp. 101-109, Springer, January 2013.

D. Comminiello, S. Scardapane, M. Scarpiniti and A. Uncini, "User-Driven Quality Enhancement for Audio Signal Processing", in 134-th AES Convention, Rome, Italy, 4-7 May, 2013.

D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "Intelligent Acoustic Interfaces for Immersive Audio", in 134-th AES Convention, Rome, Italy, 4-7 May, 2013.

R. Parisi, R. Russo, M. Scarpiniti and A. Uncini, "Localization of Audio Sources by Multiple Binaural Sensors", in Proc. of 18th International Conference on Digital Signal Processing (DSP2013), Santorini, Greece, July 1-3, 2013.

D. Comminiello, S. Scardapane, M. Scarpiniti and A. Uncini, "Interactive Quality Enhancement in Acoustic Echo Cancellation", in Proc. of 36th International Conference on Telecommunications and Signal Processing (TSP2013), Rome, Italy, pp. 488-492, July 2-4, 2013.

D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "Combined Adaptive Beamforming Techniques for Noise Reduction in Changing Environments", in Proc. of 36th International Conference on Telecommunications and Signal Processing (TSP2013), Rome, Italy, pp. 690-694, July 2-4, 2013.

S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "Music Classification Using Extreme Learning Machines", in Proc. of 8-th International Symposium on Image and Signal Processing and Analysis (ISPA2013), Trieste, Italy, pp. 370-374, September 4-6, 2013.

D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi and A. Uncini, "Convex Combination of MIMO Filters for Multichannel Acoustic Echo Cancellation", in Proc. of 8-th International Symposium on Image and Signal Processing and Analysis (ISPA2013), Trieste, Italy, pp. 771-775, September 4-6, 2013.

## 2012

R. Parisi, F. Camoes, M. Scarpiniti and A. Uncini, "Cepstrum Prefiltering for Binaural Source Localization in Reverberant Environments", IEEE Signal Processing Letters, Vol. 19, N. 2, pp. 99-102, February 2012.

F. Albu, D. Coltuc, D. Comminiello and M. Scarpiniti, "The Variable Step Size Regularized Block Exact Affine Projection Algorithm", in Proc. of 10th International Symposium on Electronics and Telecommunications (ISETC2012), Timisoara, Romania, pp. 283-286, 15-16 November, 2012.

## 2011

D. Comminiello, L. A. Azpicueta-Ruiz, M. Scarpiniti, A. Uncini and J. Arenas-García, "Functional Link Based Architectures for Nonlinear Acoustic Echo Cancellation", in Proc. of Hands-free Speech Communication and Microphone Arrays (HSCMA2011), Edinburgh, UK, pp. 180-184, May 30 – June 1, 2011.

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Comparison of Hammerstein and Wiener Systems for Nonlinear Acoustic Echo Cancelers in Reverberant Environments", in Proc. of 17th International Conference on Digital Signal Processing (DSP2011), Corfù, Greece, pp. 1-6, July 6-8, 2011.

D. Comminiello, M. Scarpiniti, R. Parisi, A. Cirillo, M. Falcone and A. Uncini, "Multi-stage Collaborative Microphone Array Beamforming in Presence of Nonstationary Interfering Signals", in Proc. of International Workshop on Machine Listening in Multisource Environments (CHiME2011), Florence, Italy, pp. 64-67, 1st September, 2011.

M. Scarpiniti, F. Di Palma, R. Parisi and A. Uncini, "A Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive Environments", in Neural Nets WIRN10, (B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-1-60750-691-1, pp. 79-88, IOS Press, February 2011.

M. Scarpiniti, G. Bunkheila, R. Parisi and A. Uncini, "A Pre-filtering and Post-filtering Approach to Blind Source Separation", in Neural Nets WIRN10, (B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-1-60750-691-1, pp. 89-98, IOS Press, February 2011.

M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "A Collaborative Approach to Time-Series Prediction", in Neural Nets WIRN11, (B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-1-60750-971-4, pp. 178-185, IOS Press, December 2011.

## 2010

Shoji Makino, Andrzej Cichocki, Wei Xing Zheng, Aurelio Uncini, "Guest Editorial Special Section on Blind Signal Processing and Its Applications", IEEE Trans. Circuits Syst. I Regul. Pap., Vol. 57-I, N. 7, pp. 1401-1403, 2010.

M. Scarpiniti, R. Parisi and A. Uncini, "Flexible estimation of joint probability and joint cumulative density functions", Electronics Letters, Vol. 46, No. 15, p. 1084-1086, July 2010.

D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "A Novel Affine Projection Algorithm for Superdirective Microphone Array Beamforming", in Proc. of IEEE International Symposium on Circuits and Systems (ISCAS2010), Paris, France, pp. 2127-2130, May 30 - June 2, 2010.

A. Cirillo, R. Parisi, M. Scarpiniti and A. Uncini, "Simplified Optimal Line Selection for Acoustic Localization in the Presence of Reverberation", in Proc. of European Signal Processing Conference (EUSIPCO2010), Aalborg, Denmark, August 23-27, 2010.

D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "A Functional Link Based Nonlinear Echo Canceller Exploiting Sparsity", in Proc. of International Workshop on Acoustic Echo and Noise Control (IWAENC2010), Tel Aviv, Israel, August 30 - September 2, 2010.

## 2009

M. Scarpiniti, D. Vigliano, R. Parisi and A. Uncini, "Flexible Blind Signal Separation in the Complex Domain", in Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters, (T. Nitta, Ed.), ISBN: 978-1-60566-214-5, pp. 284-323, IGI Global, February 2009.

M. Scarpiniti, D. Vigliano, R. Parisi and A. Uncini, "A Flexible Natural Gradient Approach to Blind Separation of Complex Signals", in New Directions in Neural Networks, (B. Apolloni, S. Bassis and M. Marinaro, Eds.), ISBN: 978-1-58603-984-4, pp. 89-98, IOS Press, March 2009.

M. Scarpiniti, A. Picaro, R. Parisi and A. Uncini, "A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments", in Neural Nets WIRN09, (B. Apolloni, S. Bassis and F.C. Morabito, Eds.), ISBN: 978-1-60750-072-8, pp. 81-90, IOS Press, December 2009.

M. Scarpiniti, R. Parisi and A. Uncini, "Flexible estimation of probability and cumulative density functions", Electronics Letters, Vol. 45, No. 21, pp. 1095-1096, October 2009.

## 2008

D. Vigliano, M. Scarpiniti, R. Parisi and A. Uncini, "Flexible nonlinear blind signal separation in the complex domain", International Journal of Neural Systems, Vol. 18, No. 2, pp. 105-122, April 2008.

M. Scarpiniti, D. Vigliano, R. Parisi and A. Uncini, "Generalized Splitting Functions for Blind Separation of Complex Signals", Neurocomputing, Vol. 71, No. 10-12, pp. 2245-2270, June 2008.

Stefano Laoreti, Davide Renzi, Raffaele Parisi, Aurelio Uncini, "Data Fusion Framework: concurrent architecture for real-time processing", Int. J. Inf. Commun. Technol., Vol. 1, N. 3/4, pp. 424-436, 2008.

## 2007

M. Scarpiniti, D. Vigliano, R. Parisi and A. Uncini, "Generalized Flexible Splitting Function Outperforms Classical Approaches in Blind Signal Separation of Complex Environment", Proc. of 15-th International Conference on Digital Signal Processing (DSP 2007), Cardiff, UK, pp. 215-218, July 1-4, 2007.

Raffaele Parisi, Albenzio Cirillo, Massimo Panella, Aurelio Uncini, "Source Localization in Reverberant Environments by Consistent Peak Selection", Proc. of 32nd IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, USA, April 15-20, pp. 37-40, 2007.

## 2006

D. Vigliano, M. Scarpiniti, R. Parisi and A. Uncini, "Flexible ICA Approach to the Nonlinear Blind Source Separation in the Complex Domain", Proc. of European Signal Processing Conference (EUSIPCO'06), Florence, Italy, pp. 2261-2265, September 4-8, 2006.

D. Vigliano, M. Scarpiniti, R. Parisi and A. Uncini, "Flexible ICA in Complex and Nonlinear Environment by Mutual Information Minimization", Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, pp. 59-64, September 6-8, 2006.

D. Vigliano, M. Scarpiniti, R. Parisi and A. Uncini, "A Flexible Blind Source Recovery in Complex Nonlinear Environment", Proc. of International Symposium on Intelligent Control (Joint CCA/CACSD/ISIC'06), Munich, Germany, pp. 3059-3063, October 4-6, 2006.

## 2005

Daniele Vigliano, Raffaele Parisi, Aurelio Uncini, "An information theoretic approach to a novel nonlinear independent component analysis paradigm", Signal Processing, Vol. 85, N. 5, pp. 997-1028, 2005.

Daniele Vigliano, Raffaele Parisi, Aurelio Uncini, "A Recurrent ICA Approach to a Novel BSS Convolutive Nonlinear Problem", Proceedings of the 16th Italian conference on Neural NetsJune (WIRN'05), pp. 57-64, 2005.