## Pubblicazioni

## Articoli su rivista

[J1] 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.

[J2] 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.

[J3] J. F. Borsani, C. W. Clark, B. Nani and M. Scarpiniti, "Fin whales avoid loud rhythmic low-frequency sounds in the Ligurian Sea", Bioacoustics, Vol. 17, No. 1-3, pp. 161-163, 2008.

[J4] M. Mecozzi, M. Scarpiniti, E. Ragosta, M. Pietroletti and R. Di Mento, "Proposal for a deconvolution procedure for the gas chromatographic estimation of pristane and phytane in marine sediments", International Journal of Environment and Health, Vol. 3, No. 1, pp. 126-138, January 2009.

[J5] 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.

[J6] 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.

[J7] N. Calace, M. Pietroletti, B. M. Petronio, M. Scarpiniti and M. Mecozzi, "Fourier transform infrared spectroscopic investigation of humic substance samples of different origin and typology supported by chemometric tools", International Journal of Environment and Health, Vol. 5, No. 3, pp. 246-261, July 2011.

[J8] 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.

[J9] F. Garzia, N. Tirocchi, M. Scarpiniti and R. Cusani, "Optimization of Security Communication Wired Network by Means of Genetic Algorithms", Communications and Network, Vol. 4, No. 3, pp. 196-204, August 2012.

[J10] M. Mecozzi, M. Pietroletti, M. Scarpiniti, R. Acquistucci and M. E. Conti, "Monitoring of marine mucilage formation in Italian seas investigated by infrared spectroscopy and independent component analysis", Environmental Monitoring and Assessment, Vol. 184, No. 10, pp. 6025-6036, October 2012.

[J11] A. Maesa, F. Garzia, M. Scarpiniti and R. Cusani, "Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficients and Gaussian Mixture Models", Journal of Information Security, Vol. 3, No. 4, pp. 335-340, October 2012.

[J12] M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini, "Nonlinear Spline Adaptive Filtering", Signal Processing, Vol. 93, No. 4, pp. 772-783, April 2013.

[J13] M. Mecozzi and M. Scarpiniti, "An Empirical and Semi Blind Algorithm for Resolving Overlapped Peaks in Chromatography: Application to the Analysis of Environmental Samples", APCBEE Procedia, Vol. 5, N. 1, pp. 145-151, June 2013.

[J14] 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.

[J15] 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.

[J16] 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.

[J17] 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.

[J18] 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.

[J19] 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.

[J20] 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.

[J21] 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.

[J22] 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.

[J23] 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.

[J24] 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.

[J25] 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.

[J26] 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.

[J27] E. Baccarelli, P. G. Vinueza Naranjo, M. Shojafar and M. Scarpiniti, "Q*: Energy and Delay-efficient Dynamic Queue Management in TCP/IP Virtualized Data Centers", Computer Communications, Vol. 102, pp. 89-106, April 2017.

[J28] 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.

[J29] 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.

[J30] E. Baccarelli, P. G. Vinueza Naranjo, M. Scarpiniti, M. Shojafar and J. H. Abawajy, "Fog of Everything: Energy-efficient Networked Computing Architectures, Research Challenges, and a Case Study", IEEE Access, Vol. 5, pp. 9882-9910, 2017.

[J31] 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.

[J32] P. G. Vinueza Naranjo, E. Baccarelli and M. Scarpiniti, "Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications", The Journal of Supercomputing, Vol. 74, N. 6, pp. 2470-2507, June 2018.

[J33] E. Baccarelli, M. Scarpiniti, P. G. Vinueza Naranjo and L. Vaca-Cardenas, "Fog of Social IoT: When the Fog Becomes Social", IEEE Network, Vol. 32, N. 4, pp. 68-80, July/August 2018.

[J34] E. Baccarelli, M. Scarpiniti and A. Momenzadeh, "Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections", IEEE Access, Vol. 6, pp. 42327-42354, 2018.

[J35] 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.

[J36] M. Scarpiniti, E. Baccarelli and A. Momenzadeh, "VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms", Applied Sciences, Vol. 9, N. 6, Paper 1160, pp. 1-48, March 2019.

[J37] E. Baccarelli, M. Scarpiniti and A. Momenzadeh, "EcoMobiFog - Design and dynamic optimization of a 5G Mobile-Fog-Cloud multi-tier ecosystem for the real-time distributed execution of stream applications", IEEE Access, Vol. 7, pp. 55565-55608, 2019.

[J38] 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.

[J39] 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.

[J40] 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.

[J41] 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.

[J42] M. Scarpiniti, E. Baccarelli, A. Momenzadeh and S. Sarv Ahrabi, "DeepFogSim: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms", Applied Sciences, Vol. 11, N. 1, Paper 377, pp. 1-42, January 2021.

[J43] S. Sarv Ahrabi, M. Scarpiniti, E. Baccarelli and A. Momenzadeh, "An accuracy-vs.-complexity comparison of Deep Learning architectures for the detection of COVID-19 disease", Computation, Vol. 9, N. 1, Paper 3, pp. 1-20, January 2021.

[J44] E. Baccarelli, M. Scarpiniti, A. Momenzadeh and S. Sarv Ahrabi, "Learning-in-the-Fog (LiFo): Deep Learning meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in delay-critical IoT realms", IEEE Access, Vol. 9, pp. 25716-25757, 2021.

[J45] 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.

[J46] M. Scarpiniti, S. Sarv Ahrabi, E. Baccarelli, L. Piazzo and A. Momenzadeh, "A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images", Applied Sciences, Vol. 11, N. 19, Paper 8867, pp. 1-27, September 2021.

[J47] 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.

[J48] 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.

[J49] E. Baccarelli, M. Scarpiniti, A. Momenzadeh and S. Sarv Ahrabi, "AFAFed—Asynchronous Fair Adaptive Federated Learning for IoT Stream Applications", Computer Communications, Vol. 195, pp. 376-402, November 2022.

[J50] 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, February 2023.

[J51] D. Comminiello, A. Nezamdoust, S. Scardapane, M. Scarpiniti, A. Hussain and A. Uncini, "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.

[J52] 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.

## Capitoli di libro

[B1] 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.

[B2] 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.

[B3] 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.

[B4] 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.

[B5] 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.

[B6] 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.

[B7] 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.

[B8] 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.

[B9] 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.

[B10] 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.

[B11] S. Scardapane, D. Comminiello, M. Scarpiniti and A. Uncini, "Significance-Based Pruning for Reservoir's Neurons in Echo State Networks", in Advances in Neural Networks: Computational and Theoretical Issues, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-319-18163-9, pp. 31-38, Springer, July 2015.

[B12] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi, and A. Uncini, "Online Selection of Functional Links for Nonlinear System Identification", in Advances in Neural Networks: Computational and Theoretical Issues, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-319-18163-9, pp. 39-47, Springer, July 2015.

[B13] R. Parisi, D. Comminiello, M. Scarpiniti and A. Uncini, "Integration of Audio and Video Clues for Source Localization by a Robotic Head", in Advances in Neural Networks: Computational and Theoretical Issues, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-319-18163-9, pp. 149-157, Springer, July 2015.

[B14] D. Comminiello, M. Scarpiniti, S. Scardapane, R. Parisi, and A. Uncini, "A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities", in Recent Advances in Nonlinear Speech Processing, (A. Esposito, M. Faundez-Zanuy, A. M. Esposito, G. Cordasco, T. Drugman, J. Solé-Casals and F. C. Morabito, Eds.), ISBN: 978-3-319-28107-0, pp. 235-243, Springer, February 2016.

[B15] F. Ortolani, D. Comminiello, M. Scarpiniti, and A. Uncini, "Frequency-Domain Adaptive Filtering in Hypercomplex Systems", in Advances in Neural Networks - Computational Intelligence for ICT, (S. Bassis, A. Esposito, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-33746-3, pp. 47-56, Springer, July 2016.

[B16] S. Scardapane, D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, "Benchmarking Functional Link Expansions for Audio Classification Tasks", in Advances in Neural Networks - Computational Intelligence for ICT, (S. Bassis, A. Esposito, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-33746-3, pp. 133-141, Springer, July 2016.

[B17] M. Scarpiniti, S. Scardapane, D. Comminiello, R. Parisi and A. Uncini, "Effective Blind Source Separation Based on the Adam Algorithm", in Multidisciplinary Approaches to Neural Computing, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-56903-1, pp. 57-66, Springer, October 2017.

[B18] M. Scarpiniti, S. Scardapane, D. Comminiello, R. Parisi and A. Uncini, "Spline Adaptive Filters: Theory and Applications", in Adaptive Learning Methods for Nonlinear System Modeling, (D. Comminiello and J. Principe, Eds.), ISBN: 9780128129760, Butterworth-Heinemann, June 2018.

[B19] S. Scardapane, M. Scarpiniti, D. Comminiello and A. Uncini, "Learning Activation Functions from Data Using Cubic Spline Interpolation", in Neural Advances in Processing Nonlinear Dynamic Signals, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-95097-6, pp. 73-83, Springer, 2019.

[B20] D. Comminiello, M. Scarpiniti, S. Scardapane, R. Parisi and A. Uncini, "A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals", in Neural Advances in Processing Nonlinear Dynamic Signals, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-95097-6, pp. 107-117, Springer, 2019.

[B21] F. Ortolani, D. Comminiello, M. Scarpiniti and A. Uncini, "On 4-Dimensional Hypercomplex Algebras inAdaptive Signal Processing", in Neural Advances in Processing Nonlinear Dynamic Signals, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-95097-6, pp. 131-140, Springer, 2019.

[B22] M. Scarpiniti, S. Scardapane, D. Comminiello, R. Parisi and A. Uncini, "Separation of Drum and Bass from Monaural Tracks", in Neural Advances in Processing Nonlinear Dynamic Signals, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-3-319-95097-6, pp. 141-151, Springer, 2019.

[B23] M. Scarpiniti, S. Scardapane, D. Comminiello and A. Uncini, "Music Genre Classification using Stacked Auto-Encoders", in Neural Approaches to Dynamics of Signal Exchanges, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-13-8949-8, pp. 11-19, Springer, 2020.

[B24] I. Spinelli, S. Scardapane, M. Scarpiniti and A. Uncini, "Efficient data augmentation using graph imputation neural networks", in Progresses in Artificial Intelligence and Neural Systems, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-15-5092-8, pp. 57-66, Springer 2021.

[B25] A. Maccagno, A. Mastropietro, U. Mazziotta, M. Scarpiniti, Y.-C. Lee and A. Uncini, "A CNN Approach for Audio Classification in Construction Sites", in Progresses in Artificial Intelligence and Neural Systems, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-15-5092-8, pp. 371-381, Springer 2021.

[B26] M. Scarpiniti, D. Comminiello, F. Muciaccia and A. Uncini, "Quaternion Widely Linear Forecasting of Air Quality", in Progresses in Artificial Intelligence and Neural Systems, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-15-5092-8, pp. 393-403, Springer 2021.

[B27] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti and A. Uncini, "A Multimodal Deep Network for the Reconstruction of T2W MR Images", in Progresses in Artificial Intelligence and Neural Systems, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-15-5092-8, pp. 423-431, Springer 2021.

[B28] M. Scarpiniti, E. Massaro, D. Comminiello and A. Uncini, "Generating new sounds by vector arithmetic in the latent space of the MelGAN architecture", in Applications of Artificial Intelligence and Neural Systems to Data Science (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-99-3591-8, pp. 3-15, Springer 2023.

[B29] M. Scarpiniti, E. Bini, M. Ferraro, A. Giannetti, D. Comminiello, Y.-C. Lee, A. Uncini, "Leaky Echo State Network for Audio Classification in Construction Sites", in Applications of Artificial Intelligence and Neural Systems to Data Science (A. Esposito, M. Faundez-Zanuy, F. C. Morabito and E. Pasero, Eds.), ISBN: 978-981-99-3591-8, pp. 183-193, Springer 2023.

## Articoli presentati a conferenze internazionali

[C1] 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.

[C2] 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.

[C3] 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.

[C4] 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.

[C5] J. F. Borsani, C. W. Clark, B. Nani and M. Scarpiniti, "Fin whales avoid loud rhythmic low-frequency sounds in the Ligurian Sea", Proc. of International Conference on the Effects of Noise on Aquatic Life, Nyborg, Denmark, Vol. 17, No. 1-3, pp. 161-163, August 13-17, 2007.

[C6] M. Mecozzi, M. Scarpiniti, F. Moscato, M. Pietroletti and R. Di Mento, "Estimation of Pristane and Phytane for Assessing Biogenic and Petrogenic Contributions in the Analysis of Hydrocarbons from Marine Sediments by Gaschromatography", Proc. of International Symposium on Green Chemistry for Environment and Health, Munich, Germany, October 13-16, 2008.

[C7] G. Bunkheila, M. Scarpiniti, R. Parisi and A. uncini, "Stereo Acoustical Echo Cancellation Based on Common Poles", Proc. of 16-th International Conference on Digital Signal Processing (DSP 2009), Santorini, Greece, pp. 1-6, July 5-7, 2009.

[C8] M. Scarpiniti, A. Picaro, R. Parisi and A. Uncini, "A Partitioned Frequency Domain Algorithm for Convolutive Blind Source Separation", Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP'09), Grenoble, France, pp. 1-6, September 2-4, 2009.

[C9] R. Parisi, R. Russo, M. Scarpiniti and A. Uncini, "Performance of Acoustic Nonlinear Echo Cancellation in the Presence of Reverberation", in Proc. of International Symposium on Frontiers of Research Speech and Music (FRSM2009), Gwalior, India, pp. 106-111, December 15-16, 2009.

[C10] 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.

[C11] 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.

[C12] 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.

[C13] 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.

[C14] 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.

[C15] 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.

[C16] 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.

[C17] 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.

[C18] 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.

[C19] 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.

[C20] 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.

[C21] 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.

[C22] 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.

[C23] 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.

[C24] 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.

[C25] 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.

[C26] 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.

[C27] 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.

[C28] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi and A. Uncini, "Functional Link Expansions for Nonlinear Modeling of Audio and Speech Signals", in Proc. of 2015 International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, pp. 1-8, July 12-17, 2015.

[C29] L. Romoli, S. Cecchi, F. Piazza, D. Comminiello, M. Scarpiniti and A. Uncini, "An Interactive Optimization Procedure for Stereophonic Acoustic Echo Cancellation Systems", in Proc. of 2015 International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, pp. 1-7, July 12-17, 2015.

[C30] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "A Nonlinear Architecture Involving a Combination of Proportionate Functional Link Adaptive Filters", in Proc. of European Signal Processing conference (EUSIPCO2015), Nice, France, pp. 2919-2923, August 31 – September 4, 2015.

[C31] V. Patel, D. Comminiello, M. Scarpiniti, N. George and A. Uncini, "Design of Hybrid Nonlinear Spline Adaptive Filters for Active Noise Control", in Proc. of 2016 International Joint Conference on Neural Networks (IJCNN2016), Vancouver, Canada, pp. 3420-3425, July 24-29, 2016.

[C32] S. Scardapane, M. Scarpiniti, D. Comminiello and A. Uncini, "Diffusion Spline Adaptive Filtering", in Proc. of European Signal Processing Conference (EUSIPCO2016), Budapest, Hungary, pp. 1498-1502, August 29 – September 2, 2016.

[C33] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "A Block-Based Combined Scheme Exploiting Sparsity in Nonlinear Acoustic Echo Cancellation", in Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP2016), Vietri sul Mare, Italy, pp. 1-6, September 13-16, 2016.

[C34] F. Ortolani, M. Scarpiniti, D. Comminiello and A. Uncini, "Advances in Hypercomplex Adaptive Filtering for 3D Audio Processing", in Proc. of 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON 2017), Kyiv, Ukraine, pp. 1125-1130, May 29 – 02 June, 2017.

[C35] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García and A. Uncini, "Full Proportionate Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation", in Proc. of European Signal Processing Conference (EUSIPCO2017), Kos island, Greece, pp. 1185-1189, August 28 – September 2, 2017.

[C36] F. Ortolani, M. Scarpiniti, D. Comminiello and A. Uncini, "On the Influence of Microphone Array Geometry on the Behavior of Hypercomplex Adaptive Filters", in Proc. of 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS 2017), Kiev, Ukraine, pp. 37-42, August 29-31, 2017.

[C37] T. Zhang, Y.-C. Lee, M. Scarpiniti and A. Uncini, "A Supervised Machine Learning-Based Sound Identification for Construction Activity Monitoring and Performance Evaluation", in Proc. of 2018 Construction Research Congress (CRC 2018), New Orleans, Louisiana, USA, pp. 358-366, April 2-4, 2018.

[C38] D. Comminiello, M. Scarpiniti, S. Scardapane and A. Uncini, "Sparse Functional Link Adaptive Filter Using anℓ1-Norm Regularization", in Proc. of 2018 IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy, pp. 1-5, May 27-30, 2018.

[C39] D. Comminiello, M. Scarpiniti, S. Scardapane, L. A. Azpicueta-Ruiz and A. Uncini, "Combined Sparse Regularizationfor Nonlinear Adaptive Filters", in Proc. of European Signal Processing Conference (EUSIPCO2018), Rome, Italy, pp. 341-345, September 3-7, 2018.

[C40] D. Comminiello, M. Scarpiniti, R. Parisi and A. Uncini, "Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing", in Proc. of 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), Brighton, UK, pp. 7745-7749, May 12-17, 2019.

[C41] M. Scarpiniti, D. Comminiello and A. Uncini, "Convex Combination of Spline Adaptive Filters", in Proc. of European Signal Processing Conference (EUSIPCO2019), A Coruña, Spain, pp. 1-5, September 2-6, 2019.

[C42] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti and A. Uncini, "A Multimodal Dense U-Net for AcceleratingMultiple Sclerosis MRI", in Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP2019), Pittsburg, PA, USA, pp. , October 13-16, 2019.

[C43] S. Scardapane, D. Comminiello, M. Scarpiniti, E. Baccarelli and A. Uncini, "Differentiable Branching in DeepNetworks for Fast Inference", in Proc. of 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, Spain, pp. 4167-4171, May 4-8, 2020.

[C44] M. Scarpiniti, D. Comminiello, A. Uncini and Y.-C. Lee, "Deep recurrent neural networks for audio classification in construction sites", in Proc. of the 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, The Netherlands, pp. 810-814, 2020.

[C45] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti and A. Uncini, "A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging", in Proc. of European Signal Processing Conference (EUSIPCO2020), Amsterdam, The Netherlands, pp. 1274-1278, 2020.

[C46] 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", in Proc. of 2022 International Joint Conference on Neural Networks (IJCNN 2022), Padova, Italy, pp. 1-8, July 18-23, 2022.

[C47] M. Scarpiniti, E. Sigismondi, D. Comminiello, and A. Uncini. "A U-Net based architecture for automatic music transcription", in Proc. of the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, pp. 1-6, September 17–20, 2023.

## Articoli presentati a conferenze nazionali

[N1] G. Bunkheila, A. Cirillo, M. Scarpiniti, R. Parisi and A. Uncini, "Interfacce Acustiche Intelligenti in Ambienti Confinati", Proc. of AES Italian Section, Annual Meeting, Parma, Italy, November 23-25, 2007.

[N2] M. Mecozzi, M. Pietroletti, M. Scarpiniti, R. Acquistucci, M. E. Conti, "Studio Spettroscopico dei Meccanismi di Formazione e Sviluppo Colore in Macroaggregati di Sostanza Organica Marina", Giornata della Geochimica Ambientale (So.Ge.I.), Roma, Italia, 22 Novembre, 2010.

[N3] D. Comminiello, R. Parisi, M. Scarpiniti, A. Uncini, "Algoritmi per l'Inversione Acustica Multicanale in Ambienti Reali", Atti del 38-esimo Convegno Nazionale AIA, (A. Cocchi, G. Semprini, P. Guidorzi and L. Barbaresi, Eds.), ISBN: 978-88-88942-34-6, Rimini, Italia, 8-10 Giugno, Alma Mater Studiorum 2011.

[N4] D. Comminiello, M. Scarpiniti, A. Cirillo, R. Parisi, M. Falcone, A. Uncini, "Un'interfaccia acustica intelligente per comunicazioni immersive in ambienti non stazionari", in “La voce nelle applicazioni”, Atti dell’VIII Convegno Nazionale dell'Associazione Italiana di Scienze della Voce (AISV2012), (A. Paoloni and M. Falcone, Eds.), ISBN: 978-88-7870-7740, pp. 237-252, Roma, Italia, 25-27 Gennaio, Bulzoni Editore 2012.

## Rapporti Tecnici

[TR1] L. Piazzo, M. Scarpiniti, E. Baccarelli, "Gomoku: Analysis of the game and of the player Wine", Technical report, Sapienza University of Rome, Novembre 2021.

## Monografie

[L1] M. Scarpiniti, "Flexible Methods for Blind Separation of Complex Signals", Tesi di Dottorato, pp. 1-246, Università degli Studi di Roma “La Sapienza”, Roma, Italia, Aprile 2009.

[L2] R. Besson, S. Cavallini, G. Orlandi, M. Panella, F. Piazza, M. Scarpiniti, "Il Sistema Radiocinetelevisivo e le Competenze Territoriali", pp. 1-212, ISBN: 88-904639-0-2, Editoriale Blu S.r.l., Roma, Italia, Dicembre 2009.

[L3] M. Scarpiniti, Laboratorio di Programmazione: MATLAB per l'Ingegnere dell'Informazione, Versione 1.8, pp. 1-722, ISBN: 979-8689225487, Self-published, Amazon KDP, Settembre 2020.

[L4] M. Scarpiniti, MATLAB per l'Audio, Versione 1.4, pp. 1-466, ISBN: 979-8709410411, Self-published, Amazon KDP, Febbraio 2021.

[L5] M. Scarpiniti e A. Salini, Introduzione all'audio real-time: Basi teoriche e prime applicazioni, Edizione 2021, pp. 1-358, ISBN: 979-8516660337, Self-published, Amazon KDP, Giugno 2021.