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Selected Recent Papers
Selected Recent Papers
G. Cicchetti, E. Grassucci, D. Comminiello,Β
GRAMformer: Any-Order Modality Interactions via Volumetric Multimodal Cross-Attention,Β
arXiv preprint arXiv:2606.06249, June 2026.
π arXiv
L. Sigillo, S. He, and D. Comminiello,Β
Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis,Β
International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, April 23β27, 2026.
π PDF Β· π» GitHub Β· π Project Page Β· πΌοΈ Poster
E. Grassucci, G. Cicchetti, E. Frasca, A. Uncini, and D. Comminiello,Β
Closing the Modality Gap Aligns Group-Wise Semantics,Β
International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, April 23β27, 2026.
π PDF Β· π» GitHub Β· π Project Page Β· πΌοΈ Poster
G. Cicchetti, E. Grassucci, L. Sigillo, D. Comminiello,Β
Gramian Multimodal Representation Learning and Alignment,Β
International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025.
π PDF Β· π» GitHub Β· π Project Page
Journal & Magazine Articles
Journal & Magazine Articles
[J41] M. Scarpiniti, D. Comminiello, A. Uncini, Physics-Informed Adaptive Filtering for Acoustic Echo Cancellation, Signal Processing, vol. 250, January 2027.
π DOI
[J40] E. Grassucci, S. Barbarossa, and D. Comminiello, Generative Semantic Communication: Diffusion Models Beyond Bit Recovery, IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 8171β8185, May 2026.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J39] E. Lopez, E. Grassucci, and D. Comminiello, Multi-View Hypercomplex Learning for Breast Cancer Screening, IEEE Access, vol. 14, pp. 66526β66538, April 2026.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J38] L. Sigillo, R. Giamba, and D. Comminiello, Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution, Pattern Recognition Letters, vol. 202, pp. 102β107, April 2026.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J37] E. Grassucci, J. Choi, J. Park, R. F. Gramaccioni, G. Cicchetti, D. Comminiello, Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling, IEEE Access, vol. 14, pp. 68302-68314, April 2026.
π DOI Β· π PDF Β· π arXiv
[J36] E. Grassucci, G. Grassucci, A. Uncini and D. Comminiello, Beyond Answers: How Large Language Models can Pursue Strategic Thinking in Education, IEEE Signal Processing Magazine, vol. 42, no. 6, pp. 64-76, November 2025.
[J35] E. Grassucci, G. Pignata, G. Cicchetti, D. Comminiello, Lightweight Diffusion Models for Resource-Constrained Semantic Communication, IEEE Wireless Communications Letters, vol. 14, no. 9, pp. 2743-2747, September 2025.
π DOI Β· π arXiv Β· π» GitHub
[J34] L. Sigillo, E. Grassucci, A. Uncini, D. Comminiello, Generalizing Medical Image Representations via Quaternion Wavelet Networks, Neurocomputing, vol. 638, Art. no. 130195, July 2025.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J33] J. D. JimΓ©nez-LΓ³pez, R. M. FernΓ‘ndez-AlcalΓ‘, F. GutiΓ©rrez-Trujillo, E. Grassucci, and D. Comminiello, Optimal Fusion Ξ²-Quaternion Filtering from Delayed Observations and Packet Losses with Compensation Strategy Under Properness, Systems Science & Control Engineering, vol. 13, no. 1, art. no. 2481941, March 2025.
[J32] R. Jr L. Taloma, F. Cuomo, D. Comminiello, P. Pisani, Machine Learning for Smart Water Grids: Exploring Applications, Challenges and Future Perspectives, Artificial Intelligence Review, vol. 58, Art. no. 120, January 2025.
[J31] E. Lopez, F. Betello, F. Carmignani, E. Grassucci, D. Comminiello, Attention-Map Augmentation for Hypercomplex Breast Cancer Classification, Pattern Recognition Letters, vol. 182, pp. 140β146, June 2024.
π DOI Β· π PDF Β· π arXiv
[J30] 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, June 2024.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J29] 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.
π DOI Β· π arXiv Β· πΌοΈ Poster
[J28] R. F. Gramaccioni, C. Marinoni, C. Chen, A. Uncini, and D. Comminiello, L3DAS23: Learning 3D Audio Sources for Audio-Visual Extended Reality, IEEE Open Journal on Signal Processing, vol. 5, pp. 632-640, March 2024.
π DOI Β· π PDF Β· π» GitHub Β· π Challenge Website Β· ποΈ Dataset
[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, November 2023.
[J26] 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, October 2023.
[J25] 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, March 2023.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[J24] 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, March 2023.
[J23] 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, pp. 24-30, February 2023.
π DOI Β· π arXiv Β· π» GitHub
[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, May 2022.
π DOI Β· π Slides Β· π Best Paper Award
[J21] E. Grassucci, D. Comminiello, and A. Uncini, An Information-Theoretic Perspective on Proper Quaternion Variational Autoencodersβ, Entropy, vol. 23, no. 7, July 2021.
[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. 172-176, August 2020.
[J19] F. SΓ‘nchez Lasheras, D. Comminiello, A. KrzemieΕ, Advances in Complex Systems and Their Applications to Cybersecurity, Complexity, vol. 2019, June 2019.
π DOI
[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, January 2019.
π DOI
[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.
π DOI
[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.
π DOI
[J15] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, and A. Uncini, Combined Nonlinear Filtering Architectures Involving Sparse Functional Link Adaptive Filters, Signal Processing, vol. 135, pp. 168-178, June 2017.
π DOI
[J14] S. Scardapane, M. Panella, D. Comminiello, A. Hussain, and A. Uncini, Distributed Reservoir Computing with Sparse Readouts [Research Frontier], IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 59-70, November 2016.
π DOI
[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.
π DOI
[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.
π DOI
[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.
π DOI
[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.
π DOI
[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. 1262β1272, August 2015.
π DOI
[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 SystemsβI: Regular Papers, vol. 62, no. 7, pp. 1825-1835, July 2015.
π DOI
[J07] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Nonlinear System Identification Using IIR Spline Adaptive Filters, Signal Processing, vol. 108, pp. 30β35, March 2015.
π DOI
[J06] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, 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.
π DOI
[J05] M. Scarpiniti, D. Comminiello, R. Parisi, A. Uncini, Hammerstein Uniform Cubic Spline Adaptive Filters: Learning and Convergence Properties, Signal Processing, vol. 100, pp. 112β123, July 2014.
π DOI
[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. 858β860, July 2013.
π DOI
[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.
π DOI
[J02] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, 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.
π DOI
[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.
π DOI Β· π» GitHub
Conference Papers
Conference Papers
[C95] M. Scarpiniti, D. Comminiello, W. Pu, and A. Uncini, Physics-Informed Proximal Adaptive Filter for Robust Echo Path Identification, 19th International Workshop on Acoustic Signal Enhancement (IWAENC 2026), Cremona, Italy, September 7-10, 2026.
[C94] E. Grassucci, G. Galadini, G. Cicchetti, A. Uncini, F. Antonacci, and D. Comminiello, Training-Free Multimodal Guidance for Video to Audio Generation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026), pp. 11982β11986, Barcelona, Spain, May 4β8, 2026.
[C93] L. Sigillo, S. He, and D. Comminiello, Latent Wavelet Diffusion For Ultra High-Resolution Image Synthesis, International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, April 23β27, 2026.
π Publisher Β· π PDF Β· π arXiv Β· π» GitHub Β· π Project Page Β· πΌοΈ Poster Β· π₯ Video
[C92] E. Grassucci, G. Cicchetti, E. Frasca, A. Uncini, and D. Comminiello, Closing the Modality Gap Aligns Group-Wise Semantics, International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, April 23β27, 2026.
π Publisher Β· π PDF Β· π arXiv Β· π» GitHub Β· π Project Page Β· πΌοΈ Poster
[C91] G. Cicchetti, E. Grassucci, D. Comminiello, A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity, Advances in Neural Information Processing Systems 38 (NeurIPS 2025), San Diego, CA, USA, December 2β7, 2025.
π DOI Β· π PDF Β· π arXiv Β· π» GitHub
[C90] R. F. Gramaccioni, C. Marinoni, F. Frezza, A. Uncini and D. Comminiello, Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials, 33rd European Signal Processing Conference (EUSIPCO 2025), pp. 331β335, Palermo, Italy, September 8β12, 2025.
π DOI Β· π arXiv Β· ποΈ Dataset Β· πΌοΈ Poster
[C89] E. Grassucci, G. Cicchetti and D. Comminiello, Closing the Gap in Multimodal Medical Representation Alignment, 35th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2025), pp. 1-6, Istanbul, Turkiye, August 31 β September 3, 2025.
π DOI Β· π arXiv Β· π Slides Β· πΌοΈ Poster
[C88] A. Nezamdoust, D. Comminiello, A. Hussain, K. Dashtipour, and M. Gogate, How LSTM is Integrated in the Functional Link Adaptive Filter, 4th Cogmhear Audio-Visual Speech Enhancement Challenge (AVSEC 2025), pp. 67β71, Rotterdam, Netherlands, August 16, 2025.
[C87] F. Sudoso, R. L. Taloma, P. Pisani and D. Comminiello, Seasonal-Trend Transformer-based Diffusion Model for Non-Intrusive Load Monitoring, International Joint Conference on Neural Networks (IJCNN 2025), pp. 1β8, Rome, Italy, June 30βJuly 5, 2025.
π DOI
[C86] C. Marinoni, R. F. Gramaccioni, K. Shimada, T. Shibuya, Y. Mitsufuji and D. Comminiello, StereoSync: Spatially-Aware Stereo Audio Generation from Video, International Joint Conference on Neural Networks (IJCNN 2025), pp. 1β8, Rome, Italy, June 30βJuly 5, 2025.
[C85] R. F. Gramaccioni, C. Marinoni, E. Grassucci, G. Cicchetti, A. Uncini, and D. Comminiello, FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders, International Joint Conference on Neural Networks (IJCNN 2025), pp. 1β8, Rome, Italy, June 30βJuly 5, 2025.
[C84] L. Sigillo, C. Bianchi, A. Uncini and D. Comminiello, Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution, International Joint Conference on Neural Networks (IJCNN 2025), pp. 1-8, Rome, Italy, June 30 β July 5, 2025.
π DOI Β· π arXiv Β· π» GitHub
[C83] A. G. Di Francesco, G. Giampietro, I. Spinelli, D. Comminiello, GATSY: Graph Attention Network for Music Artist Similarity, International Joint Conference on Neural Networks (IJCNN 2025), pp. 1-8, Rome, Italy, June 30βJuly 5, 2025.
π DOI Β· π arXiv Β· π» GitHub
[C82] G. Tanoni, R. Jr L. Taloma, E. Principi, D. Comminiello, S. Squartini, A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households, IEEE International Symposium on Circuits and Systems (ISCAS 2025), pp. 1-5, London, UK, May 25-28, 2025.
π DOI
[C81] G. Cicchetti, E. Grassucci, L. Sigillo, D. Comminiello, Gramian Multimodal Representation Learning and Alignment, International Conference on Learning Representations (ICLR 2025), Singapore, April 24-28, 2025.
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[C80] E. Lopez, L. Sigillo, F. Colonnese, M. Panella, and D. Comminiello, Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), pp. 1β5, Hyderabad, India, April 6β11, 2025.
π DOI Β· π arXiv Β· π» GitHub Β· πΌοΈ Poster
[C79] A. Elahi, D. Comminiello, S. Marceglia, Robust Framework for the Detection of Alzheimer's Disease via Analysis of Spontaneous Speech Signals, IEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA 2024), pp. 121-126, Poznan, Poland, September 25-27, 2024.
π DOI
[C78] E. Lopez, A. Uncini, D. Comminiello, Hierarchical Hypercomplex Network for Multimodal Emotion Recognition, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), pp. 1-6, London, UK, September 22-25, 2024.
π DOI Β· π arXiv Β· π» GitHub Β· πΌοΈ Poster
[C77] G. Cicchetti, E. Grassucci, J. Park, J. Choi, S. Barbarossa, D. Comminiello, Language-Oriented Semantic Latent Representation for Image Transmission, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), pp. 1β6, London, UK, September 22-25, 2024.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[C76] E. Lopez, A. Uncini, D. Comminiello, PHemoNet: A Multimodal Network for Physiological Signals, IEEE Forum on Research and Technologies for Society and Industry (RTSI 2024), pp. 260β264, Lecco, Italy, September 18-20, 2024.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[C75] J. D. JimΓ©nez LΓ³pez, R. M. FernΓ‘ndez-AlcalΓ‘, J. Navarro-Moreno, J. C. Ruiz-Molina, E. Grassucci, D. Comminiello, Ξ²-Quaternion Centralized Fusion Estimation Problem under First-Order Properness Conditions, IEEE Forum on Research and Technologies for Society and Industry (RTSI 2024), pp. 238β242, Lecco, Italy, September 18-20, 2024.
π DOI
[C74] A. Nezamdoust, M. Scarpiniti, A. Uncini, D. Comminiello, Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation, European Conference on Signal Processing (EUSIPCO 2024), pp. 216β220, Lyon, France, August 26-30, 2024.
π DOI
[C73] E. Lopez, E. Grassucci, D. Capriotti, D. Comminiello, Towards Explaining Hypercomplex Neural Networks, International Joint Conference on Neural Networks (IJCNN 2024), pp. 1-8, Yokohama, Japan, June 30 - July 5, 2024.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[C72] L. Sigillo, R. F. Gramaccioni, A. Nicolosi, D. Comminiello, Ship in Sight: Diffusion Models for Ship-Image Super Resolution, International Joint Conference on Neural Networks (IJCNN 2024), pp. 1-8, Yokohama, Japan, June 30 - July 5, 2024.
π DOI Β· π arXiv Β· π» GitHub
[C71] J. Choi, J. Park, E. Grassucci, D. Comminiello, Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts, IEEE 99th Vehicular Technology Conference (VTC2024-Spring), pp. 1-5, Singapore, June 24-27, 2024.
[C70] T. Majid Wani, S. A. A. Qadri, D. Comminiello, I. Amerini, Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation, 12th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2024), pp. 271-276, Baiona, Spain, June 24-26, 2024.
[C69] R. Jr L. Taloma, D. Comminiello, P. Pisani, F. Cuomo, UNet-WD: Deep Learning for Multi-Appliance Water Disaggregation, 2024 IFIP Networking Conference (IFIP Networking 2024), pp. 702β707, Thessaloniki, Greece, June 3-6, 2024.
π DOI
[C68] E. Grassucci, C. Marinoni, A. Rodriguez, D. Comminiello, Diffusion Models for Audio Semantic Communication, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), pp. 13136-13140, Seoul, Korea, April 14-19, 2024.
π DOI Β· π arXiv Β· π Project Page Β· π Slides
[C67] E. Grassucci, Y. Mitsufuji, P. Zhang, D. Comminiello, Enhancing Semantic Communication with Deep Generative Models: An Overview, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), pp. 13021-13025, Seoul, Korea, April 14-19, 2024.
π DOI Β· π arXiv Β· π Special Session Page
[C66] M. ComunitΓ , R. F. Gramaccioni, E. Postolache, E. RodolΓ , D. Comminiello, J. D. Reiss, SyncFusion: Multimodal Onset Synchronized Video to Audio Foley Synthesis, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), pp. 936-940, Seoul, Korea, April 14-19, 2024.
π DOI Β· π arXiv Β· π» GitHub Β· π Project Page
[C65] A. Nezamdoust, M. Huemer, A. Uncini, D. Comminiello, Efficient Functional Link Adaptive Filters Based on Nearest Kronecker Product Decomposition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), pp. 886-890, Seoul, Korea, April 14-19, 2024.
π DOI
[C64] 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, December 4-7, 2023.
[C63] A. Buscarino, C. Famoso, D. Comminiello, L. PatanΓ©, Quaternion Neural Networks for Multidimensional Applications: An Overview, IEEE 30th International Conference on Electronics, Circuits and Systems (ICECS 2023), pp. 1-4, Istanbul, Turkey, December 4-7, 2023.
π DOI
[C62] C. Marinoni, V. Ponzi, D. Comminiello, DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic, 9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics (SYSTEM 2023), CEUR Workshop Proceedings, vol. 3695, pp. 51-61, Rome, Italy, December 3-6, 2023.
[C61] R. Jr L. Taloma, F. Cuomo, D. Comminiello, N. Blefari Melazzi, P. Pisani, Smart Water Grids: Solutions based on IoT and Machine Learning, International Conference on Innovation, Communication and Engineering (ICICE 2023), pp. 131-132, Bangkok, Thailand, November 2023.
π DOI
[C60] E. Guizzo, T. Weyde, G. Tarroni, and D. Comminiello, Quaternion Anti-Transfer Learning for Speech Emotion Recognition, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), pp. 1-5, New Paltz, NY, October 22-25, 2023.
π DOI
[C59] M. Scarpiniti, E. Sigismondi, D. Comminiello, and A. Uncini, A U-Net Based Architecture for Automatic Music Transcription, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), pp. 1-6, Rome, Italy, September 17-20, 2023.
π DOI
[C58] L. Sigillo, A. Marzilli, D. Moretti, E. Grassucci, C. Greco, and D. Comminiello, Sailing the SeaFormer: A Transformer-Based Model for Vessel Route Forecasting, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), pp. 1-6, Rome, Italy, September 17-20, 2023.
π DOI
[C57] M. Mancanelli, E. Grassucci, A. Uncini, and D. Comminiello, PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), pp. 1-6, Rome, Italy, September 17-20, 2023.
π DOI Β· π arXiv Β· π» GitHub Β· π Honorable Top 5% Mention
[C56] G. Vieira, E. Grassucci, M. E. Valle, and D. Comminiello, Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), pp. 1-6, Rome, Italy, September 17-20, 2023.
π DOI Β· π arXiv Β· π Honorable Top 10% Mention
[C55] G. De Magistris, D. Comminiello, C. Napoli, and J. Starczewski, Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks, 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO-AIxIA 2022), Udine, Italy, CEUR Workshop Proceedings, vol. 3417, pp. 70β80, June 2023.
[C54] A. Nezamdoust, M. Gogate, K. Dashtipour, A. Hussain, and D. Comminiello, Frequency-Domain Functional Links for Nonlinear Feedback Cancellation in Hearing Aids, IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), pp. 1-5, Rhodes Island, Greece, June 4-10, 2023.
π DOI
[C53] E. Lopez, E. Chiarantano, E. Grassucci, and D. Comminiello, Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals, IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), pp. 1-5, Rhodes Island, Greece, June 4-10, 2023.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[C52] C. Marinoni, R. F. Gramaccioni, C. Chen, A. Uncini, and D. Comminiello, Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), pp. 1-2, Rhodes Island, Greece, June 4-10, 2023.
π DOI Β· π arXiv Β· π» GitHub Β· π Challenge Website Β· ποΈ Dataset
[C51] L. Sigillo, E. Grassucci, and D. Comminiello, StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation, IEEE International Symposium on Circuits and Systems (ISCAS 2023), pp. 1-5, Monterey, CA, May 21-25, 2023.
π DOI Β· π arXiv Β· π» GitHub Β· π Project Page Β· ποΈ Dataset Β· π Slides
[C50] 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, International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, Jul. 18-23, 2022.
π DOI
[C49] E. Grassucci, L. Sigillo, A. Uncini, and D. Comminiello, Hypercomplex Image-to-Image Translation, International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, July 18-23, 2022.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[C48] 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), pp. 9186β9190, Singapore, May 22-27, 2022.
π DOI Β· π arXiv Β· π» GitHub Β· π Challenge Website Β· ποΈ Dataset Β· π Slides Β· πΌοΈ Poster
[C47] 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 Signal 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.
π DOI Β· π arXiv Β· π» GitHub Β· π Challenge Website Β· ποΈ Dataset Β· π» MATLAB Doc Β· π Slides
[C46] E. Grassucci, D. Comminiello, and A. Uncini, A Quaternion-Valued Variational Autoencoder, 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), pp. 3310-3314, Toronto, Canada, June 6-11, 2021.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides Β· πΌοΈ Poster
[C45] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging, 28th European Conference on Signal Processing (EUSIPCO 2020), pp. 1274-1278, Amsterdam, Netherlands, January 18-22, 2021.
π DOI Β· π Slides Β· π₯ Video
[C44] M. Scarpiniti, D. Comminiello, A. Uncini, and Yong-Cheol Lee, Deep Recurrent Neural Networks for Audio Classification in Construction Sites, 28th European Conference on Signal Processing (EUSIPCO 2020), pp. 810-814, Amsterdam, Netherlands, January 18-22, 2021.
π DOI
[C43] M. Ricciardi Celsi, S. Scardapane, and D. Comminiello, Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments, 2020 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), pp. 1-6, Espoo, Finland, September 21-24, 2020.
π DOI Β· π arXiv Β· π Slides Β· π₯ Video
[C42] S. Scardapane, D. Comminiello, M. Scarpiniti, E. Baccarelli, and A. Uncini, Differentiable Branching in Deep Networks for Fast Inference, 45th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), pp. 4167-4171, Barcelona, Spain, May 4-8, 2020.
π DOI Β· π Slides Β· π₯ Video
[C41] A. Falvo, D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, A Multimodal Dense U-Net for Accelerating Multiple Sclerosis MRI, 2019 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2019), Pittsburgh, PA, October 13-16, 2019.
[C40] M. Scarpiniti, D. Comminiello, and A. Uncini, Convex Combination of Spline Adaptive Filters, 27th European Conference on Signal Processing (EUSIPCO 2019), A CoruΓ±a, Spain, September 2-6, 2019.
[C39] D. Comminiello, M. Lella, S. Scardapane, and A. Uncini, Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 8533-8537, Brighton, UK, May 12-17, 2019.
π DOI Β· π arXiv Β· πΌοΈ Poster
[C38] S. Scardapane, S. Van Vaerenbergh, D. Comminiello, and A. Uncini, Widely Linear Kernels for Complex-Valued Kernel Activation Functions, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 8528-8532, Brighton, UK, May 12-17, 2019.
π DOI Β· π arXiv Β· πΌοΈ Poster
[C37] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Frequency-Domain Adaptive Filtering: From Real to Hypercomplex Signal Processing, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 7745-7749, Brighton, UK, May 12-17, 2019.
[C36] S. Scardapane, S. Van Vaerenbergh, D. Comminiello, S. Totaro, and A. Uncini, Recurrent Neural Networks with Flexible Gates Using Kernel Activation Functions", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), pp. 1-6, Aalborg, Denmark, September 17-20, 2018.
[C35] S. Scardane, S. Van Vaerenbergh, D. Comminiello, and A. Uncini, Improving Graph Convolutional Networks with Non-Parametric Activation Functions, 26th European Conference on Signal Processing (EUSIPCO 2018), pp. 872-876, Rome, Italy, September 3-7, 2018.
[C34] D. Comminiello, M. Scarpiniti, S. Scardane, L. A. Azpicueta-Ruiz, and A. Uncini, Combined Sparse Regularization for Nonlinear Adaptive Filters, 26th European Conference on Signal Processing (EUSIPCO 2018), pp. 336-340, Rome, Italy, September 3-7, 2018.
π DOI Β· π arXiv Β· π Slides
[C33] D. Comminiello, M. Scarpiniti, S. Scardapane, and A. Uncini, Sparse Functional Link Adaptive Filter Using an l1-Norm Regularization, IEEE International Symposium on Circuits and Systems (ISCAS 2018), pp. 1-5, Florence, Italy, May 27-30, 2018.
[C32] F. Ortolani, M. Scarpiniti, D. Comminiello, and A. Uncini, On the Influence of Microphone Array Geometry on the Behavior of Hypercomplex Adaptive Filters, IEEE 5th Microwaves, Radar and Remote Sensing Symposium (MRRS 2017), pp. 37-42, Kiev, Ukraine, August 29-31, 2017.
π DOI
[C31] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, and A. Uncini, Full Proportionate Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation, 25th European Signal Processing Conference (EUSIPCO 2017), pp. 1145β1149, Kos Island, Greece, August 28 β September 2, 2017.
[C30] F. Ortolani, M. Scarpiniti, D. Comminiello, and A. Uncini, Advances in Hypercomplex Adaptive Filtering for 3D Audio Processing, IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON 2017), Kiev, Ukraine, May 29 - June 2, 2017.
π DOI
[C29] A. Carini and D. Comminiello, Introducing Complex Functional Link Polynomial Filters, 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 4656-4660, New Orleans, LA, March 5β9, 2017.
[C28] F. Ortolani, D. Comminiello, and A. Uncini, The Widely Linear Block Quaternion Least Mean Square Algorithm for Fast Computation in 3D Audio Systems, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Vietri Sul Mare, Italy, September 13-16, 2016.
π DOI
[C27] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, and A. Uncini, A Block-Based Combined Scheme Exploiting Sparsity in Nonlinear Acoustic Echo Cancellation, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Vietri Sul Mare, Italy, September 13-16, 2016.
[C26] S. Van Vaerenbergh, L. A. Azpicueta-Ruiz, and D. Comminiello, A Split Kernel Adaptive Filtering Architecture for Nonlinear Acoustic Echo Cancellation, 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1768-1772, Budapest, Hungary, August 28 - September 2, 2016.
[C25] S. Scardapane, M. Scarpiniti, D. Comminiello, and A. Uncini, Diffusion Spline Adaptive Filtering, 24th European Signal Processing Conference (EUSIPCO 2016), pp. 1498-1502, Budapest, Hungary, August 28 - September 2, 2016.
π DOI
[C24] V. Patel, D. Comminiello, M. Scarpiniti, N. V. George, and A. Uncini, Design of Hybrid Nonlinear Spline Adaptive Filters for Active Noise Control, International Conference on Neural Networks (IJCNN 2016), pp. 3420-3425, Vancouver, Canada, July 24-29, 2016.
[C23] D. Comminiello, M. Scarpiniti, L. A. Azpicueta-Ruiz, J. Arenas-GarcΓa, and A. Uncini, A Nonlinear Architecture Involving a Combination of Proportionate Functional Link Adaptive Filters, 23rd European Signal Processing Conference (EUSIPCO 2015), pp. 2869β2873, Nice, France, August 31 - September 4, 2015.
[C22] S. Scardapane, M. Panella, D. Comminiello, and A. Uncini, Learning from Distributed Data Sources Using Random Vector Functional-Link Networks, INNS Conference on Big Data 2015 - Procedia Computer Science, vol. 53, pp. 468-477, San Francisco, CA, August 8-10, 2015.
π DOIΒ
[C21] L. Romoli, S. Cecchi, F. Piazza, D. Comminiello, M. Scarpiniti, and A. Uncini, An Interactive Optimization Procedure for Stereophonic Acoustic Echo Cancellation Systems, International Joint Conference on Neural Networks (IJCNN 2015), pp. 1-7, Killarney, Ireland, July 12-16, 2015.
[C20] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi, and A. Uncini, Functional Link Expansions for Nonlinear Modeling of Audio and Speech Signals, International Joint Conference on Neural Networks (IJCNN 2015), pp. 1-8, Killarney, Ireland, July 12-16, 2015.
[C19] L. Romoli, S. Cecchi, D. Comminiello, F. Piazza, and A. Uncini, Novel Decorrelation Approach for an Advanced Multichannel Acoustic Echo Cancellation System, 22nd European Signal Processing Conference (EUSIPCO 2014), pp. 651-655, Lisbon, Portugal, September 1-5, 2014.
π Publisher
[C18] S. Scardapane, D. Comminiello, M. Scarpiniti, and A. Uncini, GP-Based Kernel Evolution for L2-Regularization Networks, IEEE Congress on Evolutionary Computation (CEC 2014), pp. 1674-1681, Beijing, China, July 6-11, 2014. [link]
π DOI
[C17] D. Comminiello, S. Cecchi, M. Gasparini, M. Scarpiniti, A. Uncini, and F. Piazza, Advanced Intelligent Acoustic Interfaces for Multichannel Audio Reproduction, International Joint Conference on Neural Networks (IJCNN 2014), pp. 3577-3584, Beijing, China, July 6-11, 2014.
[C16] S. Scardapane, G. Nocco, D. Comminiello, M. Scarpiniti, and A. Uncini, An Effective Criterion for Pruning Reservoir's Connections in Echo State Networks, International Joint Conference on Neural Networks (IJCNN 2014), pp. 1205-1212, Beijing, China, July 6-11, 2014.
π DOI
[C15] D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi, and A. Uncini, Convex Combination of MIMO Filters for Multichannel Acoustic Echo Cancellation, IEEE 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), pp. 771-775, Trieste, Italy, September 4-6, 2013.
[C14] S. Scardapane, D. Comminiello, M. Scarpiniti, and A. Uncini, Music Classification using Extreme Learning Machines, IEEE 8th International Symposium on Image and Signal Processing and Analysis (ISPA 2013), pp. 370-374, Trieste, Italy, September 4-6, 2013.
[C13] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Combined Adaptive Beamforming Techniques for Noise Reduction in Changing Environments, IEEE International Conference on Telecommunications and Signal Processing (TSP 2013), pp. 690-694, Rome, Italy, July 2-4, 2013.
[C12] D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, Interactive Quality Enhancement in Acoustic Echo Cancellation, IEEE International Conference on Telecommunications and Signal Processing (TSP 2013), pp. 488-492, Rome, Italy, July 2-4, 2013.
π DOI
[C11] D. Comminiello, A. Grosso, F. Cagnetti, and A. Uncini, An Efficient Nonlinear Acoustic Echo Canceller for Low-Cost Audio Devices, 134th Convention of the Audio Engineering Society (AES 134), pp. 626β633, Rome, Italy, May 4-7, 2013.
π Publisher Β· πΌοΈ Poster
[C10] D. Comminiello, S. Scardapane, M. Scarpiniti, and A. Uncini, User-Driven Quality Enhancement for Audio Signal Processing, 134th Convention of the Audio Engineering Society (AES 134), pp. 608β615, Rome, Italy, May 4-7, 2013. [link]
π Publisher
[C09] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, Intelligent Acoustic Interfaces for Immersive Audio, i134th Convention of the Audio Engineering Society (AES 134), pp. 592β601, Rome, Italy, May 4-7, 2013.
π Publisher Β· πΌοΈ Poster
[C08] A. Alemanno, A. Travaglini, S. Scardapane, D. Comminiello, and A. Uncini, A Framework for Adaptive Real-Time Loudness Control, 134th Convention of the Audio Engineering Society (AES 134), pp. 535β541, Rome, Italy, May 4-7, 2013.
π Publisher
[C07] F. Albu, D. Coltuc, D. Comminiello, and M. Scarpiniti, The Variable Step Size Regularized Block Exact Affine Projection Algorithm, IEEE International Symposium on Electronics and Telecommunications (ISETC 2012), pp. 283-286, Timisoara, Romania, November 15-16, 2012.
π DOI Β· π PDF Β· π Slides
[C06] 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, First International Workshop on Machine Listening in Multisource Environments (CHiME 2011), pp. 64-67, Florence, Italy, September 1, 2011.
π Publisher Β· π PDF Β· πΌοΈ Poster
[C05] M. Scarpiniti, D. Comminiello, R. Parisi, and A. Uncini, Comparison of Hammerstein and Wiener Systems for Nonlinear Acoustic Echo Cancelers in Reverberant Environments, IEEE International Conference on Digital Signal Processing (DSP 2011), pp. 1-6, Corfu, Greece, July 6-8, 2011.
π DOI
[C04] D. Comminiello, R. Parisi, M. Scarpiniti, and A. Uncini, Algoritmi per l'Inversione Acustica Multicanale in Ambienti Reali, 38Β° Convegno Nazionale dell'Associazione Italiana di Acustica (AIA 2011), pp. 1-14, ISBN 978-88-88942-34-6, Rimini, Italy, June 8-10, 2011.
[C03] D. Comminiello, L. A. Azpicueta-Ruiz, M. Scarpiniti, A. Uncini, and J. Arenas-GarcΓa, Functional Link Based Architectures for Nonlinear Acoustic Echo Cancellation, IEEE Workshop on Hands-free Speech Communications and Microphone Arrays (HSCMA 2011), pp. 180-184, Edinburgh, UK, May 30 - June 1, 2011.
[C02] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, A Functional Link Based Nonlinear Echo Canceller Exploiting Sparsity, International Workshop on Acoustic Echo and Noise Control (IWAENC 2010), Tel Aviv, Israel, August 30 - September 2, 2010.
π Publisher Β· π PDF Β· πΌοΈ Poster
[C01] D. Comminiello, M. Scarpiniti, R. Parisi, and A. Uncini, A Novel Affine Projection Algorithm for Superdirective Microphone Array Beamforming, IEEE International Symposium on Circuits and Systems (ISCAS 2010), pp. 2127β2130, Paris, France, May 30 β June 2, 2010.
Book Chapters
Book Chapters
[B34] R. F. Gramaccioni, C. Marinoni, F. Frezza, A. Uncini, and D. Comminiello, Inverse Design of Thin-Film Metamaterials with a LSTM-Based Approach, in Neural Networks: Overview of Current Theories and Applications, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero, and G. Cordasco, Eds.), vol. 459 of Smart Innovation, Systems and Technologies, pp. 437β446, Springer, April 2026.
π DOI
[B33] L. Aloisi, L. Sigillo, A. Uncini, and D. Comminiello, A Wavelet Diffusion GAN for Image Super-Resolution, in Neural Networks: Overview of Current Theories and Applications, (A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero, and G. Cordasco, Eds.), vol. 459 of Smart Innovation, Systems and Technologies, pp. 425β435, Springer, April 2026.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[B32] F. Ambrogio, F. FΓ¨, L. Sigillo, E. Grassucci, D. Comminiello, Counterfactual-Aware Diffusion Models, in Socially Aware and Responsible AI Applications, (A. Esposito, A. M. Esposito, A. Perna, and L. C. Jain, Eds.), vol. 460 of Smart Innovation, Systems and Technologies, pp. 345β356, Springer, February 2026.
π DOI
[B31] E. B. Rossi, E. Lopez, D. Comminiello, TACE: Tumor-Aware Counterfactual Explanation, in Socially Aware and Responsible AI Applications, (A. Esposito, A. M. Esposito, A. Perna, and L. C. Jain, Eds.), vol. 460 of Smart Innovation, Systems and Technologies, pp. 165β175, Springer, February 2026.
[B30] 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, in Socially Aware and Responsible AI Applications, (A. Esposito, A. M. Esposito, A. Perna, and L. C. Jain, Eds.), vol. 460 of Smart Innovation, Systems and Technologies, pp. 153β163, Springer, February 2026.
[B29] A. Nezamdoust and D. Comminiello, Adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation, in Computer Aided Systems Theory β EUROCAST 2024, (A. Quesada-Arencibia, M. Affenzeller, and R. Moreno-DΓaz, Eds.), vol. 15173 of Lecture Notes in Computer Science, pp. 19β26, Springer, 2025.
π DOI
[B28] 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.
π DOI
[B27] 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.
π DOI
[B26] 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, JΓΌrgen Schmidhuber, Eds.), vol. 217 of Intelligent Systems Reference Library, pp. 57-86, ISBN: 978-3-030-91389-2, Springer, 2022.
π DOI Β· π arXiv Β· π» GitHub
[B25] 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.
π DOI Β· π arXiv Β· π Slides
[B24] 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.
π DOI
[B23] 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.
π DOI
[B22] 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.
π DOI
[B21] 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.
π DOI
[B20] 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.Β
π DOI
[B19] 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.
[B18] 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.
π DOI Β· π arXiv Β· π» GitHub Β· π Slides
[B017] 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.
[B016] 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.
π DOI
[B015] 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.
π DOI
[B014] 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.
π DOI
[B013] 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.
π DOI
[B012] 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. SolΓ©-Casals, F. C. Morabito, eds.), vol. 48 of Smart Innovation, Systems and Technologies, pp. 235-243, ISBN: 978-3-319-28107-0, Springer, January 2016.
[B11] 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.
π DOI
[B10] 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.
[B09] S. Scardapane, D. Comminiello, M. Scarpiniti, and A. Uncini, Significance-Based Pruning for Reservoirβs 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.
[B08] 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.
π DOI
[B07] 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.
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[B06] 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.), vol. 19 of Smart Innovation, Systems and Technologies, pp. 101-109, ISBN: 978-3-642-35466-3, Springer, 2013.
[B05] 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, 2013.
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[B04] 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 dellβAssociazione 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.
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[B03] 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.
[B02] 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 dellβAssociazione Italiana Scienze della Voce, Contesto comunicativo e variabilitΓ 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.
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[B01] 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 dellβAssociazione Italiana Scienze della Voce, Contesto comunicativo e variabilitΓ 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.
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Preprints & Non-Archival Papers
Preprints & Non-Archival Papers
[P15] D. Marisi, E. Grassucci, D. Comminiello, Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning, arXiv preprint arXiv:2606.14568, June 2026.
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[P14] G. Cicchetti, E. Grassucci, D. Comminiello, GRAMformer: Any-Order Modality Interactions via Volumetric Multimodal Cross-Attention, arXiv preprint arXiv:2606.06249, June 2026.
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[P13] M. Scarpiniti, D. Comminiello, The IJCNN 2025 Review Process, arXiv preprint arXiv:2603.19244, February 2026.
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[P12] C. Marinoni, R. F. Gramaccioni, E. Grassucci, D. Comminiello, Controllable Audio-Visual Viewpoint Generation from 360Β° Spatial Information, arXiv preprint arXiv:2510.06060, October 2025.
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[P11] G. Cicchetti, E. Grassucci, A. Uncini, D. Comminiello, Semantic Compression via Multimodal Representation Learning, arXiv preprint arXiv:2509.24431, September 2025.
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[P10] E. Grassucci, G. Cicchetti, D. Comminiello, Personalized Language-Oriented Semantic Communication, ICML 2025 Machine Learning for Wireless Communication and Networks (ML4WC), Vancouver, Canada, July 18, 2025.
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[P09] E. Grassucci, G. Grassucci, A. Uncini and D. Comminiello, Tutors and Partners: The Dual Role of LLMs in Education, IJCNN 2025 Workshop on AI Innovations for Education, pp. 1β8, Rome, Italy, June 30βJuly 5, 2025.
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[P08] R. F. Gramaccioni, C. Marinoni, E. Postolache, M. ComunitΓ , L. Cosmo, J. D. Reiss, D. Comminiello, FolAI: Synchronized Foley Sound Generation with Semantic and Temporal Alignment, arXiv preprint arXiv:2412.15023, May 2025.
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[P07] E. Grassucci, G. Cicchetti, D. Comminiello, Closing the Modality Gap Enables Novel Multimodal Learning Applications, ICLR 2025 Second Workshop on Representational Alignment (Re2-Align), Singapore, April 28, 2025.
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[P06] L. Sigillo, R. Giamba, and D. Comminiello, Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution, ICLR 2025 3rd Machine Learning for Remote Sensing Workshop (ML4RS), Singapore, April 27, 2025. Extended version published as [J38].
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[P05] E. Grassucci, G. Cicchetti, D. Comminiello, Contrastive Learning Enables Low-Bandwidth Semantic Communication, AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN), Philadelphia, PA, USA, March 4, 2025.
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[P04] P. Nardelli, D. Comminiello, JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos, arXiv preprint arXiv:2405.02961, May 2024.
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[P03] R. Jr L. Taloma, P. Pisani, D. Comminiello, Concrete Dense Network for Long-Sequence Time Series Clustering, arXiv preprint arXiv:2405.05015, May 2024.
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[P02] G. Cicchetti, D. Comminiello, NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement, arXiv preprint arXiv: 2404.05669, April 2024.
[P01] 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, December 2023.
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Dissertations
Dissertations
[D03] D. Comminiello, Adaptive Algorithms for Intelligent Acoustic Interfaces, Ph.D. Thesis, Sapienza University of Rome, Italy, December 2011.
π EURASIP
[D02] D. Comminiello, Interfacce Vocali Superdirettive per Sistemi Viva Voce, M.Sc. Thesis, Sapienza University of Rome, Italy, July 2008.
[D01] D. Comminiello, Trasformazioni Tempo-Frequenza del Segnale Audio, B.Sc. Thesis, Sapienza University of Rome, Italy, December 2004.
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