[P15] F. Ambrogio, F. Fè, L. Sigillo, E. Grassucci, D. Comminiello, Counterfactual-Aware Diffusion Models, May 2024. Submitted to Italian Workshop on Neural Networks (WIRN 2024).

[P14] E. B. Rossi, E. Lopez, D. Comminiello, TACE: Tumor-Aware Counterfactual Explanation, May 2024. Submitted to Italian Workshop on Neural Networks (WIRN 2024).

[P13] D. Comminiello, N. Mammone, S. Vitabile, E. Grassucci, E. Lopez, F. Prinzi, C. Ieracitano, A. Uncini, EXEGETE: Explainable Generative AI for Medical Signal and Image Processing, May 2024. Submitted to Italian Workshop on Neural Networks (WIRN 2024).

[P12] R. F. Gramaccioni, C. Marinoni, F. Frezza, A. Uncini, D. Comminiello, Inverse Design of Thin-Film Metamaterials with a LSTM-based Approach, May 2024. Submitted to Italian Workshop on Neural Networks (WIRN 2024).

[P11] L. Aloisi, L. Sigillo, A. Uncini, D. Comminiello, A Wavelet Diffusion GAN for Image Super-Resolution, May 2024. Submitted to Italian Workshop on Neural Networks (WIRN 2024).

[P10] E. Grassucci, J. Choi, J. Park, R. F. Gramaccioni, G. Cicchetti, D. Comminiello, Rethinking Multi-User Semantic Communications with Deep Generative Models, arXiv preprint arXiv:2405.09866, May 2024. Submitted to IEEE Journal on Selected Areas in Communications. [arXiv]

[P09] P. Nardelli, D. Comminiello, JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos, arXiv preprint arXiv:2405.02961, May 2024. [arXiv]

[P08] R. Jr L. Taloma, P. Pisani, D. Comminiello, Concrete Dense Network for Long-Sequence Time Series Clustering, arXiv preprint arXiv:2405.05015, May 2024. [arXiv]

[P07] G. Cicchetti, D. Comminiello, NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement, arXiv preprint arXiv: 2404.05669, Apr. 2024. [arXiv]

[P06] E. Grassucci, J. Park, S. Barbarossa, S.-L. Kim, J. Choi, D. Comminiello, Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks, arXiv preprint arXiv:2401.06803, Dec. 2023. [arXiv]

[P05] R. Jr L. Taloma, F. Cuomo, D. Comminiello, P. Pisani, Machine Learning for Smart Water Grids: Exploring Applications, Challenges and Future Perspectives, Submitted to Artificial Intelligence Review, Nov. 2024.

[P04] A. G. Di Francesco, G. Giampietro, I. Spinelli, D. Comminiello, GATSY: Graph Attention Network for Music Artist Similarity, arXiv preprint arXiv:2311.00635, Nov. 2023. [arXiv]

[P03] L. Sigillo, E. Grassucci, A. Uncini, D. Comminiello, Generalizing Medical Image Representations via Quaternion Wavelet Networks, arXiv preprint arXiv:2310.10224, Oct. 2023. Submitted to Neurocomputing. [arXiv]

[P02] E. Grassucci, S. Barbarossa, and D. Comminiello, Generative Semantic Communication: Diffusion Models Beyond Bit Recovery, arXiv preprint arXiv:2306.04321, May 2023. [arXiv] [GitHub]

[P01] E. Lopez, E. Grassucci, M. Valleriani, and D. Comminiello, Multi-View Hypercomplex Learning for Breast Cancer Screening, arXiv preprint arXiv:2204.05798, Apr. 2023. [arXiv] [GitHub]

[J31] D. Comminiello, E. Grassucci, D. P. Mandic, A. Uncini, Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning, IEEE Signal Processing Magazine, Vol. 41, no. 3, pp. 59-71, May 2024. [arXiv] [link]

[J30] E. Lopez, F. Betello, F. Carmignani, E. Grassucci, D. Comminiello, Attention-Map Augmentation for Hypercomplex Breast Cancer Classification, Pattern Recognition Letters, Apr. 2024. [arXiv] [link] [pdf]

[J29] R. F. Gramaccioni, C. Marinoni, C. Chen, A. Uncini, and D. Comminiello, L3DAS23: Learning 3D Audio Sources for Audio-Visual Extended Reality, in IEEE Open Journal on Signal Processing, vol. 5, pp. 632-640, Mar. 2024. [GitHub] [challenge website] [link] [pdf]

[J28] E. Grassucci, L. Sigillo, A. Uncini, and D. Comminiello, GROUSE: A Task and Model Agnostic Wavelet-Driven Framework for Medical Imaging, IEEE Signal Processing Letters, vol. 30, pp. 1397 - 1401, Oct. 2023. [link] [pdf]

[J27] S. Barbarossa, D. Comminiello, E. Grassucci, F. Pezone, S. Sardellitti, P. Di Lorenzo, Semantic Communications Based on Adaptive Generative Models and Information Bottleneck, IEEE Communications Magazine, vol. 61, no.11, pp. 36-41, Nov. 2023. [link] [arXiv]

[J26] E. Guizzo, T. Weyde, S. Scardapane, and D. Comminiello, Learning Speech Emotion Representations in the Quaternion Domain, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 1200-1212, Mar. 2023. [link] [pdf] [arXiv] [GitHub]

[J25] E. Grassucci, G. Mancini, C. Brignone, A. Uncini, and D. Comminiello, Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation, Pattern Recognition Letters, Vol. 166, Pages 24-30, Feb. 2023. [link] [arXiv] [GitHub]

[J24] E. Grassucci, A. Zhang, and D. Comminiello, PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions, IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, no. 6, pp. 8293-8305, Jun. 2024. [link] [pdf] [arXiv] [GitHub]

[J23] 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, no. 3, pp. 1384 - 1396, Mar. 2023. [link] [arXiv]

[J22] C. Brignone, G. Mancini, E. Grassucci, A. Uncini, and D. 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, March 2022. [link] [slides] BEST PAPER AWARD!

[J21] E. Grassucci, D. Comminiello, and A. Uncini, An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoder”, Entropy, vol. 23, no. 856, July 2021. [link] [GitHub]

[J20] R. Vecchi, S. Scardapane, D. Comminiello, and A. Uncini, Compressing Deep-Quaternion Neural Networks with Targeted Regularisation, IET CAAI Transactions on Intelligence Technology, pp. 1-5, July 2020. [link] [arXiv]

[J19] F. Sánchez Lasheras, D. Comminiello, A. Krzemień, Advances in Complex Systems and Their Applications to Cybersecurity, Complexity, vol. 2019, June 2019. [link]

[J18] 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, no. 1, pp. 1-20, January 2019. [link]

[J17] 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. [link]

[J16] S. Scardapane, D. Comminiello, A. Hussain, and A. Uncini, Group Sparse Regularization for Deep Neural Networks, Neurocomputing, vol. 241, pp. 81-89, June 2017. [link]

[J15] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-García, and A. Uncini, Combined Nonlinear Architectures Involving Sparse Functional Link Adaptive Filters, Signal Processing, vol. 135, pp. 168-178, June 2017. [link]

[J14] S. Scardapane, M. Panella, D. Comminiello, A. Hussain, and A. Uncini, Distributed Reservoir Computing with Sparse Readouts, IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 59-70, November 2016. [link]

[J13] 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. [link]

[J12] 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, no. 4, pp. 816-828, February 2016. [link]

[J11] D. Comminiello, M. Scarpiniti, S. Scardapane, R. Parisi, and A. Uncini, Improving Nonlinear Modeling Capabilities of Functional Link Adaptive Filters, Neural Networks, vol. 69, pp. 51-59, September 2015. [link]

[J10] 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, no. 9, pp. 2214-2220, September 2015. [link]

[J09] 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, no. 8, pp. 1-11, August 2015. [link]

[J08] 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, no. 7, pp. 1825-1835, July 2015. [link]

[J07] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Nonlinear System Identification Using IIR Spline Adaptive Filters, Signal Processing, vol. 108, no. 3, pp. 30–35, March 2015. [link]

[J06] 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 Transactions on Audio, Speech, and Language Processing, vol. 22, no. 7, pp. 1172-1183, July 2014. [link]

[J05] M. Scarpiniti, D. Comminiello, R. Parisi, A. Uncini, Hammerstein Uniform Cubic Spline Adaptive Filters: Learning and Convergence Properties, Signal Processing, vol. 100, no. 7, pp. 112–123, July 2014. [link]

[J04] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Convergence Properties of Nonlinear Functional Link Adaptive Filters, IET Electronics Letters, vol. 49, no. 14, pp. 873-875, July 2013. [link]

[J03] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Combined Adaptive Beamforming Schemes for Nonstationary Interfering Noise Reduction, Signal Processing, vol. 93, no. 12, pp. 3306-3318, December 2013. [link]

[J02] 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, no. 7, pp. 1502-1512, July 2013. [link]

[J01] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Nonlinear Spline Adaptive Filtering, Signal Processing, vol. 93, no. 4, pp. 772-783, April 2013. [link] [GitHub]

[C77] A. Elahi, D. Comminiello, S. Marceglia, Robust Framework for the Detection of Alzheimer's Disease via Analysis of Spontaneous Speech Signals, in IEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA 2024), Poznan, Poland, Sep. 25-27, 2024.

[C76] E. Lopez, A. Uncini, D. Comminiello, Hierarchical Hypercomplex Network for Multimodal Emotion Recognition, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), London, UK, Sep. 22-25, 2024.

[C75] G. Cicchetti, E. Grassucci, J. Park, J. Choi, S. Barbarossa, D. Comminiello, Language-Oriented Semantic Latent Representation for Image Transmission, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), London, UK, Sep. 22-25, 2024. [arXiv]

[C74] E. Lopez, A. Uncini, D. Comminiello, PHemoNet: A Multimodal Network for Physiological Signals, in IEEE Forum on Research and Technologies for Society and Industry (RTSI 2024), Lecco, Italy, Sep. 18-20, 2024.

[C73] J. D. Jiménez López, R. M. Fernández-Alcalá, J. Navarro-Moreno, J. C. Ruiz-Molina, E. Grassucci, D. Comminiello, β-Quaternion Centralized Fusion Estimation Problem under First-Order Properness Conditions, in IEEE Forum on Research and Technologies for Society and Industry (RTSI 2024), Lecco, Italy, Sep. 18-20, 2024.

[C72] A. Nezamdoust, M. Scarpiniti, A. Uncini, D. Comminiello, Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation, in European Conference on Signal Processing (EUSIPCO 2024), Lyon, France, Aug. 26-30, 2024.

[C71] E. Lopez, E. Grassucci, D. Capriotti, D. Comminiello, Towards Explaining Hypercomplex Neural Networks, in International Joint Conference on Neural Networks (IJCNN 2022), Yokohama, Japan, June 30 - July 5, 2024. [arXiv]

[C70] L. Sigillo, R. F. Gramaccioni, A. Nicolosi, D. Comminiello, Ship in Sight: Diffusion Models for Ship-Image Super Resolution, in International Joint Conference on Neural Networks (IJCNN 2022), Yokohama, Japan, June 30 - July 5, 2024. [arXiv]

[C69] J. Choi, J. Park, E. Grassucci, D. Comminiello, Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts, in IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore, June 24-27, 2024. [arXiv]

[C68] T. Majid Wani, S. A. A. Qadri, D. Comminiello, I. Amerini, Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation, in 12th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2024), pp. 271-276, Baiona, Spain, June 24-26, 2024. [link]

[C67] R. Jr L. Taloma, D. Comminiello, P. Pisani, F. Cuomo, UNet-WD: Deep Learning for Multi-Appliance Water Disaggregation, in IFIP/IEEE Networking Conference 2024, Thessaloniki, Greece, June 3-6, 2024.

[C66] M. Comunità, R. F. Gramaccioni, E. Postolache, E. Rodolà, D. Comminiello, J. D. Reiss, SyncFusion: Multimodal Onset Synchronized Video to Audio Foley Synthesis, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, Apr. 14-19, 2024. [arXiv] [project page]

[C65] A. Nezamdoust, M. Huemer, A. Uncini, D. Comminiello, Efficient Functional Link Adaptive Filters Based on Nearest Kronecker Product Decomposition, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, Apr. 14-19, 2024.

[C64] E. Grassucci, C. Marinoni, A. Rodriguez, D. Comminiello, Diffusion Models for Audio Semantic Communication, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, Apr. 14-19, 2024. [arXiv] [project page]

[C63] E. Grassucci, Y. Mitsufuji, P. Zhang, D. Comminiello, Enhancing Semantic Communication with Deep Generative Models - An Overview, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, Apr. 14-19, 2024. [arXiv] [special session website] 

[C62] G. Di Marco, D. Comminiello, M. Scarpiniti, and A. Uncini, Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting, in IEEE 30th International Conference on Electronics, Circuits and Systems (ICECS 2023), Istanbul, Turkey, Dec. 4-7, 2023. [link]

[C61] A. Buscarino, C. Famoso, D. Comminiello, L. Patané, Quaternion Neural Networks for Multidimensional Applications: An Overview, in IEEE 30th International Conference on Electronics, Circuits and Systems (ICECS 2023), Istanbul, Turkey, Dec. 4-7, 2023. [link]

[C60] R. Jr L. Taloma, F. Cuomo, D. Comminiello, N. Blefari Melazzi, P. Pisani, Smart Water Grids: Solutions based on IoT and Machine Learning, in International Conference on Innovation, Communication and Engineering (ICICE 2023), pp. 131-132, Bangkok, Thailand, Nov. 2023. [link]

[C59] E. Guizzo, T. Weyde, G. Tarroni, and D. Comminiello, Quaternion Anti-Transfer Learning for Speech Emotion Recognition, in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), New Paltz, NY, Oct. 22-25, 2023. [link]

[C58] M. Scarpiniti, E. Sigismondi, D. Comminiello, and A. Uncini, A U-Net Based Architecture for Automatic Music Transcription, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, Sept. 17-20, 2023. [link]

[C57] L. Sigillo, A. Marzilli, D. Moretti, E. Grassucci, C. Greco, and D. Comminiello, Sailing the SeaFormer: A Transformer-Based Model for Vessel Route Forecasting, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, Sept. 17-20, 2023. [link]

[C56] M. Mancanelli, E. Grassucci, A. Uncini, and D. Comminiello, PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, Sept. 17-20, 2023. [arXiv] [GitHub] [link]

[C55] G. Vieira, E. Grassucci, M. E. Valle, and D. Comminiello, Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), Rome, Italy, Sept. 17-20, 2023. [arXiv] [link]

[C54] A. Nezamdoust, M. Gogate, K. Dashtipour, A. Hussain, and D. Comminiello, Frequency-Domain Functional Links for Nonlinear Feedback Cancellation in Hearing Aids, in IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), Rhodes Island, Greece, June 4-10, 2023. [link]

[C53] E. Lopez, E. Chiarantano, E. Grassucci, and D. Comminiello, Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, in IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), Rhodes Island, Greece, June 4-10, 2023. [link] [arXiv] [GitHub]

[C52] C. Marinoni, R. F. Gramaccioni, C. Chen, A. Uncini, and D. Comminiello, Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023. [GitHub] [challenge website] 

[C51] L. Sigillo, E. Grassucci, and D. Comminiello, StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation, in IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, May 21-25, 2023. [link] [arXiv] [GitHub] [project page] 

[C50] G. De Magistris, D. Comminiello, C. Napoli, and J. Starczewski, Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks, in 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO-AIxIA 2022), Udine, Italy, Nov. 2022. [link] [pdf]

[C49] M. Scarpiniti, C. Mauri, D. Comminiello, A. Uncini, Y.-C. Lee, CoVal-SGAN: A Complex-Valued Spectral GAN Architecture for the Effective Audio Data Augmentation in Construction Sites, in IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, Jul. 18-23, 2022. [link]

[C48] E. Grassucci, L. Sigillo, A. Uncini, and D. Comminiello, Hypercomplex Image-to-Image Translation, in IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022. [link] [arXiv] [GitHub] [slides]

[C47] E. Guizzo, C. Marinoni, M. Pennese, X. Ren, X. Zheng, C. Zhang, B. Masiero, A. Uncini, and D. Comminiello, L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, May 22-27, 2022. [link] [arXiv] [slides] [poster] [challenge website] [dataset] [GitHub]

[C46] E. Guizzo, R.F. Gramaccioni, S. Jamili, C. Marinoni, E. Massaro, C. Medaglia, G. Nachira, L. Nucciarelli, L. Paglialunga, M. Pennese, S. Pepe, E. Rocchi, A. Uncini, and D. Comminiello, L3DAS21 Challenge: Machine Learning for 3D Audio Processing, in 2021 IEEE International workshop on Machine Learning for Signal Processing (MLSP 2021), pp. 1-6, Gold Coast, Queensland, Australia, October 25-28, 2021. [link] [arXiv] [slides] [challenge website] [dataset] [GitHub] [MATLAB example]

[C45] E. Grassucci, D. Comminiello, and A. Uncini, A Quaternion-Valued Variational Autoencoder, in 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), pp. 3310-3314, Toronto, Canada, June 6-11, 2021. [link] [arXiv] [slides] [poster] [GitHub]

[C44] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging, in 28th European Conference on Signal Processing (EUSIPCO 2020), pp. 1-5, Amsterdam, Netherlands, January 18-22, 2021. [link] [slides] [video]

[C43] M. Scarpiniti, D. Comminiello, A. Uncini, and Yong-Cheol Lee, Deep Recurrent Neural Networks for Audio Classification in Construction Sites, in 28th European Conference on Signal Processing (EUSIPCO 2020), pp. 1-5, Amsterdam, Netherlands, January 18-22, 2021. [link]

[C42] M. Ricciardi Celsi, S. Scardapane, and D. Comminiello, Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments, in 2020 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), pp. 1-6, Espoo, Finland, September 21-24, 2020. [link] [arXiv] [slides] [video]

[C41] S. Scardapane, D. Comminiello, M. Scarpiniti, E. Baccarelli, and A. Uncini, Differentiable Branching in Deep Networks for Fast Inference, in 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), pp. 4167-4171, Barcelona, Spain, May 4-8, 2020. [link] [slides] [video]

[C40] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, A Multimodal Dense U-Net for Accelerating Multiple Sclerosis MRI, in 2019 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2019), Pittsburgh, PA, October 13-16, 2019. [link] [poster]

[C39] M. Scarpiniti, D. Comminiello, and A. Uncini, Convex Combination of Spline Adaptive Filters, in 27th European Conference on Signal Processing (EUSIPCO 2019), A Coruña, Spain, September 2-6, 2019. [link] [poster]

[C38] D. Comminiello, M. Lella, S. Scardapane, and A. Uncini, Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 8533-8537, Brighton, UK, May 12-17, 2019. [link] [arXiv] [poster]

[C37] S. Scardapane, S. Van Vaerenbergh, D. Comminiello, and A. Uncini, Widely Linear Kernels for Complex-Valued Kernel Activation Functions, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 8528-8532, Brighton, UK, May 12-17, 2019. [link] [arXiv] [poster]

[C36] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Frequency-Domain Adaptive Filtering: From Real to Hypercomplex Signal Processing, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 7745-7749, Brighton, UK, May 12-17, 2019. [link] [slides]

[C35] S. Scardapane, S. Van Vaerenbergh, D. Comminiello, S. Todaro, and A. Uncini, Recurrent Neural Networks with Flexible Gates Using Kernel Activation Function", in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), pp. 1-6, Aalborg, Denmark, September 17-20, 2018. [link] [arXiv]

[C34] S. Scardane, S. Van Vaerenbergh, D. Comminiello, and A. Uncini, Improving Graph Convolutional Networks with Non-Parametric Activation Functions, in 26th European Conference on Signal Processing (EUSIPCO 2018), pp. 872-876, Rome, Italy, September 3-7, 2018. [link] [arXiv]

[C33] D. Comminiello, M. Scarpiniti, S. Scardane, L. A. Azpicueta-Ruiz, and A. Uncini, Combined Sparse Regularization for Nonlinear Adaptive Filters, in 26th European Conference on Signal Processing (EUSIPCO 2018), pp. 336-340, Rome, Italy, September 3-7, 2018. [link] [updated version on arXiv] [slides]

[C32] D. Comminiello, M. Scarpiniti, S. Scardapane, and A. Uncini, Sparse Functional Link Adaptive Filter Using an l1-Norm Regularization, in IEEE International Symposium on Circuits and Systems (ISCAS 2018), pp. 1-5, Florence, Italy, May 27-30, 2018. [link] [slides]

[C31] F. Ortolani, M. Scarpiniti, D. Comminiello, and A. Uncini, On the Influence of Microphone Array Geometry on the Behavior of Hypercomplex Adaptive Filters, in IEEE 5th Microwaves, Radar and Remote Sensing Symposium (MRRS 2017), pp. 37-42, Kiev, Ukraine, August 29-31, 2017. [link]

[C30] 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 25th European Signal Processing Conference (EUSIPCO 2017), pp. 1185-1189, Kos Island, Greece, August 28 – September 2, 2017. [link] [poster]

[C29] F. Ortolani, M. Scarpiniti, D. Comminiello, and A. Uncini, Advances in Hypercomplex Adaptive Filtering for 3D Audio Processing, in IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON 2017, Kiev, Ukraine, May 29 - June 231, 2017. [link]

[C28] A. Carini and D. Comminiello, Introducing Complex Functional Link Polynomial Filters, in 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 4656-4660, New Orleans, LA, March 5 – 9, 2017. [link] [slides]

[C27] S. Scardapane, M. Scarpiniti, D. Comminiello, and A. Uncini, Diffusion Spline Adaptive Filtering, in 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1498-1502, Budapest, Hungary, August 28 - September 2, 2016. [link]

[C26] S. Van Vaerenbergh, L. A. Azpicueta-Ruiz, and D. Comminiello, A Split Kernel Adaptive Filtering Architecture for Nonlinear Acoustic Echo Cancellation, in 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1768-1772, Budapest, Hungary, August 28 - September 2, 2016. [link] [slides]

[C25] F. Ortolani, D. Comminiello, and A. Uncini, The Widely Linear Block Quaternion Least Mean Square Algorithm for Fast Computation in 3D Audio Systems, in IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Vietri Sul Mare, Italy, September 13-16, 2016. [link]

[C24] 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 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Vietri Sul Mare, Italy, September 13-16, 2016. [link] [poster]

[C23] V. Patel, D. Comminiello, M. Scarpiniti, N. V. George, and A. Uncini, Design of Hybrid Nonlinear Spline Adaptive Filters for Active Noise Control, in Proceedings of the International Conference on Neural Networks (IJCNN 2016), pp. 3420-3425, Vancouver, Canada, July 24-29, 2016. [link] [slides]

[C22] 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 23rd European Signal Processing Conference (EUSIPCO 2015), pp. 2919-2923, Nice, France, August 31 - September 4, 2015. [link] [slides]

[C21] S. Scardapane, M. Panella, D. Comminiello, and A. Uncini, Learning from Distributed Data Sources Using Random Vector Functional-Link Networks, Procedia Computer Science, vol. 53, pp. 468-477, San Francisco, CA, August 8-10, 2015. [link]

[C20] L. Romoli, S. Cecchi, F. Piazza, D. Comminiello, M. Scarpiniti, and A. Uncini, An Interactive Procedure for Stereophonic Acoustic Echo Cancellation Systems, in IEEE International Joint Conference on Neural Networks (IJCNN 2015), pp. 1-7, Killarney, Ireland, July 12-16, 2015. [link] [slides]

[C19] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi, and A. Uncini, Functional Link Expansions for Nonlinear Modeling of Audio and Speech Signals, in IEEE International Joint Conference on Neural Networks (IJCNN 2015), pp. 1-8, Killarney, Ireland, July 12-16, 2015. [link] [slides]

[C18] L. Romoli, S. Cecchi, D. Comminiello, F. Piazza, and A. Uncini, Novel Decorrelation Approach for an Advanced Multichannel Acoustic Echo Cancellation System, in Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014), pp. 651-655, Lisbon, Portugal, September 1-5, 2014. [link]

[C17] S. Scardapane, D. Comminiello, M. Scarpiniti, and A. Uncini, GP-Based Kernel Evolution for L2-Regularization Networks, in Proceedings of the IEEE WCCI Congress on Evolutionary Computation (CEC 2014), pp. 1674-1681, Beijing, China, July 6-11, 2014. [link]

[C16] D. Comminiello, S. Cecchi, M. Gasparini, M. Scarpiniti, A. Uncini, and F. Piazza, Advanced Intelligent Acoustic Interfaces for Multichannel Audio Reproduction, in Proceedings of the IEEE WCCI International Joint Conference on Neural Networks (IJCNN 2014), pp. 3577-3584, Beijing, China, July 6-11, 2014. [link] [slides]

[C15] S. Scardapane, G. Nocco, D. Comminiello, M. Scarpiniti, and A. Uncini, An Effective Criterion for Pruning Reservoir's Connections in Echo State Networks, in Proceedings of the IEEE WCCI International Joint Conference on Neural Networks (IJCNN 2014), pp. 1205-1212, Beijing, China, July 6-11, 2014. [link]

[C14] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi, and A. Uncini, Convex Combination of MIMO Filters for Multichannel Acoustic Echo Cancellation, in Proceedings of the IEEE 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), pp. 771-775, Trieste, Italy, September 4-6, 2013. [link] [slides]

[C13] S. Scardapane, D. Comminiello, M. Scarpiniti, and A. Uncini, Music Classification using Extreme Learning Machines, in Proceedings of the IEEE 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), pp. 370-374, Trieste, Italy, September 4-6, 2013. [link] [slides]

[C12] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Combined Adaptive Beamforming Techniques for Noise Reduction in Changing Environments, in Proceedings of the IEEE International Conference on Telecommunications and Signal Processing (TSP 2013), pp. 690-694, Rome, Italy, July 2-4, 2013. [link] [slides]

[C11] D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, Interactive Quality Enhancement in Acoustic Echo Cancellation, in Proceedings of the IEEE International Conference on Telecommunications and Signal Processing (TSP 2013), pp. 488-492, Rome, Italy, July 2-4, 2013. [link]

[C10] D. Comminiello, A. Grosso, F. Cagnetti, and A. Uncini, An Efficient Nonlinear Acoustic Echo Canceller for Low-Cost Audio Devices, in Proceedings of the 134th Convention of the Audio Engineering Society (AES 134), Rome, Italy, May 4-7, 2013. [link] [poster]

[C09] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Intelligent Acoustic Interfaces for Immersive Audio, in Proceedings of the 134th Convention of the Audio Engineering Society (AES 134), Rome, Italy, May 4-7, 2013. [link] [poster]

[C08] D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, User-Driven Quality Enhancement for Audio Signal Processing, in Proceedings of the 134th Convention of the Audio Engineering Society (AES 134), Rome, Italy, May 4-7, 2013. [link]

[C07] A. Alemanno, A. Travaglini, S. Scardapane, D. Comminiello, and A. Uncini, A Framework for Adaptive Real-Time Loudness Control, in Proceedings of the 134th Convention of the Audio Engineering Society (AES 134), Rome, Italy, May 4-7, 2013. [link]

[C06] F. Albu, D. Coltuc, D. Comminiello, and M. Scarpiniti, The Variable Step Size Regularized Block Exact Affine Projection Algorithm, in Proceedings of the IEEE International Symposium on Electronics and Telecommunications (ISETC 2012), pp. 283-286, Timisoara, Romania, November 15-16, 2012. [link] [poster]

[C05] 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 Proceedings of the International Workshop on Machine Listening in Multisource Environments (CHiME 2011), pp. 64-67, Florence, Italy, September 1, 2011. [link] [poster]

[C04] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Comparison of Hammerstein and Wiener Systems for Nonlinear Acoustic Echo Cancelers in Reverberant Environments, in Proceedings of the IEEE International Conference on Digital Signal Processing (DSP 2011), pp. 1-6, Corfù, Greece, July 6-8, 2011. [link]

[C03] D. Comminiello, L. A. Azpicueta-Ruiz, M. Scarpiniti, A. Uncini, and J. Arenas-García, Functional Link Based Architectures for Nonlinear Acoustic Echo Cancellation, in Proceedings of the IEEE Workshop on Hands-free Speech Communications and Microphone Arrays (HSCMA 2011), pp. 180-184, Edinburgh, UK, May 30 - June 1, 2011. [link] [poster]

[C02] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, A Functional Link Based Nonlinear Echo Canceller Exploiting Sparsity, in Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC 2010), Tel Aviv, Israel, August 30 - September 2, 2010. [link] [poster]

[C01] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, A Novel Affine Projection Algorithm for Superdirective Microphone Array Beamforming, in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 2010), pp. 2127‐2130, Paris, France, May 30 ‐ June 2, 2010. [link] [slides]

[V25] M. Scarpiniti, E. Bini, M. Ferraro, A. Giannetti, D. Comminiello, Y.-C. Lee, and A. Uncini, Leaky Echo State Network for Audio Classification in Construction Sites, in Applications of Artificial Intelligence and Neural Systems to Data Science, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 360 of Smart Innovation, Systems and Technologies, pp. 183-193, ISBN: 978-981-99-3591-8, Springer, 2023. [link]

[V24] 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, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 360 of Smart Innovation, Systems and Technologies, pp. 3-15, ISBN: 978-981-99-3591-8, Springer, 2023. [link]

[V23] E. Grassucci, E. Cicero, and D. Comminiello, Quaternion Generative Adversarial Networks, in Generative Adversarial Learning: Architectures and Applications, (Roozbeh Razavi-Far, Ariel Ruiz-Garcia, Vasile Palade, Jürgen Schmidhuber, Eds.), Intelligent Systems Reference Library, pp. 57-86, ISBN: 978-3-030-91389-2, Springer, 2022. [link] [arXiv] [GitHub]

[V22] 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, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 184 of Smart Innovation, Systems and Technologies, pp. 423-431, ISBN: 978-981-15-5092-8, Springer, 2021. [link] [arXiv] [slides]

[V21] M. Scarpiniti, D. Comminiello, F. Muciaccia, and A. Uncini, Quaternion Widely Linear Forecasting of Air Quality, in Progresses in Artificial Intelligence and Neural Systems, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 184 of Smart Innovation, Systems and Technologies, pp. 393-403, ISBN: 978-981-15-5092-8, Springer, 2021. [link]

[V20] E. Grassucci, S. Scardapane, D. Comminiello, and A. Uncini, Flexible Generative Adversarial Networks with Non-Parametric Activation Functions, in Progresses in Artificial Intelligence and Neural Systems, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 184 of Smart Innovation, Systems and Technologies, pp. 67-77, ISBN: 978-981-15-5092-8, Springer, 2021. [link]

[V19] 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, E. Pasero, Eds.), vol. 151 of Smart Innovation, Systems and Technologies, pp. 11-19, ISBN: 978-981-13-8949-8, Springer, 2020. [link]

[V18] 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, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 102 of Smart Innovation, Systems and Technologies, pp. 141-151, ISBN: 978-3-319-95097-6, Springer, 2019. [link]

[V17] F. Ortolani, D. Comminiello, M. Scarpiniti, and A. Uncini, On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing, in Neural Advances in Processing Nonlinear Dynamic Signals, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 102 of Smart Innovation, Systems and Technologies, pp. 131-140, ISBN: 978-3-319-95097-6, Springer, 2019. [link]

[V16] 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, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 102 of Smart Innovation, Systems and Technologies, pp. 107-117, ISBN: 978-3-319-95097-6, Springer, 2019. [link] [slides]

[V15] 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, (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, Eds.), vol. 102 of Smart Innovation, Systems and Technologies, pp. 73-83, ISBN: 978-3-319-95097-6, Springer, 2019. [link] [arXiv] [GitHub] [slides]

[V14] M. Scarpiniti, 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. C. Principe, Eds.), ISBN: 9780128129760, Elsevier, June 2018. [link] [GitHub]

[V13] D. Comminiello and J. C. Principe, Introduction, in Adaptive Learning Methods for Nonlinear System Modeling, (D. Comminiello and J. C. Principe, Eds.), ISBN: 9780128129760, Elsevier, June 2018. [link]

[V12] 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, E. Pasero, Eds.), vol. 69 of Smart Innovation, Systems and Technologies, pp. 57-66, ISBN: 978-3-319-33746-3, Springer, August 2017. [link]

[V11] 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, E. Pasero, Eds.), vol. 54 of Smart Innovation, Systems and Technologies, pp. 133-141, ISBN: 978-3-319-33746-3, Springer, June 2016. [link]

[V10] 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, E. Pasero, Eds.), vol. 54 of Smart Innovation, Systems and Technologies, pp. 47-56, ISBN: 978-3-319-33746-3, Springer, June 2016. [link]

[V09] 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, F. C. Morabito, eds.), vol. 48 of Smart Innovation, Systems and Technologies, pp. 235-243, ISBN: 978-3-319-28107-0, Springer, 2016. [link] [slides]

[V08] 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, F. C. Morabito, Eds.), vol. 37 of Smart Innovation, Systems and Technologies, pp. 149-157, ISBN: 978-3-319-18163-9, Springer, August 2015. [link]

[V07] 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, F. C. Morabito, Eds.), vol. 37 of Smart Innovation, Systems and Technologies, pp. 39-47, ISBN: 978-3-319-18163-9, Springer, August 2015. [link] [slides]

[V06] 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, F. C. Morabito, Eds.), vol. 37 of Smart Innovation, Systems and Technologies, pp. 31-38, ISBN: 978-3-319-18163-9, Springer, August 2015. [link] [poster]

[V05] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Proportionate Algorithms for Blind Source Separation, in Recent Advances of Neural Networks Models and Applications, (S. Bassis, A. Esposito and F. C. Morabito, Eds.), vol. 26 of Smart Innovation, Systems and Technologies, pp. 99-106, ISBN: 978-3-319-04128-5, Springer, January 2014. [link]

[V04] S. Scardapane, D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, A Preliminary Study on Transductive Extreme Learning Machines, in Recent Advances of Neural Networks Models and Applications, (S. Bassis, A. Esposito and F. C. Morabito, Eds.), vol. 26 of Smart Innovation, Systems and Technologies, pp. 25-32, ISBN: 978-3-319-04128-5, Springer, January 2014. [link]

[V03] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, A Collaborative Approach to Adaptive Noise Cancellation, in Neural Nets and Surroundings, (B. Apolloni, S. Bassis, A. Esposito and F. C. Morabito, Eds.), vol. 19 of Smart Innovation, Systems and Technologies, pp. 101-109, ISBN: 978-3-642-35466-3, Springer, December 2012. [link] [slides]

[V02] 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.), vol. 19 of Smart Innovation, Systems and Technologies, pp. 93-100, ISBN: 978-3-642-35466-3, Springer, December 2012. [link]

[V01] 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.), vol. 234 of Frontiers in Artificial Intelligence and Applications, pp. 178-185, ISBN: 978-1-60750-971-4, IOS Press, December 2011. [link] [presentation]

[B1] D. Comminiello and J. C. Principe (Eds.), Adaptive Learning Methods for Nonlinear System Modeling, Elsevier, ISBN: 9780128129760, June 2018. [link] [ToC]

[N04] D. Comminiello, M. Scarpiniti, R. Parisi, A. Cirillo, M. Falcone, and A. Uncini, Un'Interfaccia Acustica Intelligente per Comunicazioni Immersive in Ambienti Non Stazionari, in Atti del VIII Convegno Nazionale dell’Associazione Italiana Scienze della Voce, La voce nelle applicazioni (M. Falcone, A. Paoloni, eds.), pp. 237-252, ISBN: 978-88-7870-774-0, Rome: Bulzoni Editore, (AISV 2012), Rome, Italy, January 25-27, 2012. [link] [poster] BEST PAPER AWARD!!!

[N03] D. Comminiello, R. Parisi, M. Scarpiniti, and A. Uncini, Algoritmi per l'Inversione Acustica Multicanale in Ambienti Reali, in Atti del 38° Convegno Nazionale dell'Associazione Italiana di Acustica (AIA 2011), pp. 1-14, Rimini, Italy, June 8-10, 2011.

[N02] D. Comminiello, A. Uncini, A. Cirillo, A. Barone, and M. Falcone, Architettura Collaborativa per la Cancellazione d'Eco Non Lineare, in Atti del VII Convegno Nazionale dell’Associazione Italiana Scienze della Voce, Contesto comunicativo e variabilità nella produzione e percezione della lingua (B. Gili Fivela, A. Stella, L. Garrapa, M. Grimaldi, eds.), pp. 438-449, ISBN: 978-88-7870-619-4, Rome: Bulzoni Editore, Dec. 2011, (AISV 2011), Lecce, Italy, January 26-28, 2011. [link] [poster]

[N01] D. Comminiello, A. Uncini, A. Cirillo, A. Barone, and M. Falcone, Un Sistema a Costo Minimo per il Miglioramento Qualitativo del Parlato nelle Comunicazioni Viva Voce, in Atti del VII Convegno Nazionale dell’Associazione Italiana Scienze della Voce, Contesto comunicativo e variabilità nella produzione e percezione della lingua (B. Gili Fivela, A. Stella, L. Garrapa, M. Grimaldi, eds.), pp. 345-356, ISBN: 978-88-7870-619-4, Rome: Bulzoni Editore, Dec. 2011, (AISV 2011), Lecce, Italy, January 26-28, 2011. [link] [slides] BEST PAPER AWARD!!!

[D3] D. Comminiello, Adaptive Algorithms for Intelligent Acoustic Interfaces, Ph.D. Thesis, Sapienza University of Rome, Italy, December 2011. [link]

[D2] D. Comminiello, Interfacce Vocali Superdirettive per Sistemi Viva Voce, M.Sc. Thesis, Sapienza University of Rome, Italy, July 2008.

[D1] D. Comminiello, Trasformazioni Tempo-Frequenza del Segnale Audio, B.Sc. Thesis, Sapienza University of Rome, Italy, December 2004.