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2020 – today
- 2024
[j29]Eleonora Lopez
, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello:
Attention-map augmentation for hypercomplex breast cancer classification. Pattern Recognit. Lett. 182: 140-146 (2024)- [j28]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 59-71 (2024) - [j27]Eleonora Grassucci, Aston Zhang, Danilo Comminiello:
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8293-8305 (2024) - [c71]Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello:
Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. EUSIPCO 2024: 216-220 - [c70]Alireza Nezamdoust, Mario Huemer, Aurelio Uncini, Danilo Comminiello:
Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition. ICASSP 2024: 886-890 - [c69]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. ICASSP 2024: 936-940 - [c68]Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang, Danilo Comminiello:
Enhancing Semantic Communication with Deep Generative Models: An Overview. ICASSP 2024: 13021-13025 - [c67]Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello:
Diffusion Models for Audio Semantic Communication. ICASSP 2024: 13136-13140 - [c66]Taiba Majid Wani, Syed Asif Ahmad Qadri, Danilo Comminiello, Irene Amerini:
Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation. IH&MMSec 2024: 271-276 - [c65]Eleonora Lopez, Eleonora Grassucci, Debora Capriotti, Danilo Comminiello:
Towards Explaining Hypercomplex Neural Networks. IJCNN 2024: 1-8 - [c64]Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi, Danilo Comminiello:
Ship in Sight: Diffusion Models for Ship-Image Super Resolution. IJCNN 2024: 1-8 - [c63]Redemptor Jr Laceda Taloma, Danilo Comminiello, Patrizio Pisani, Francesca Cuomo:
UNet-WD: Deep Learning for Multi-Appliance Water Disaggregation. IFIP Networking 2024: 702-707 - [c62]Adnan Elahi, Danilo Comminiello, Sara Marceglia:
Robust Framework for the detection of Alzheimer's Disease via analysis of Spontaneous Speech Signals. SPA 2024: 121-126 - [c61]Jinho Choi, Jihong Park, Eleonora Grassucci, Danilo Comminiello:
Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts. VTC Spring 2024: 1-5 - [i44]Eleonora Grassucci, Jihong Park, Sergio Barbarossa, Seong-Lyun Kim, Jinho Choi, Danilo Comminiello:
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks. CoRR abs/2401.06803 (2024) - [i43]Christian Marinoni, Riccardo Fosco Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello:
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. CoRR abs/2402.09245 (2024) - [i42]Jinho Choi, Jihong Park, Eleonora Grassucci, Danilo Comminiello:
Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts. CoRR abs/2403.15649 (2024) - [i41]Eleonora Lopez, Eleonora Grassucci, Debora Capriotti, Danilo Comminiello:
Towards Explaining Hypercomplex Neural Networks. CoRR abs/2403.17929 (2024) - [i40]Luigi Sigillo, Riccardo Fosco Gramaccioni, Alessandro Nicolosi, Danilo Comminiello:
Ship in Sight: Diffusion Models for Ship-Image Super Resolution. CoRR abs/2403.18370 (2024) - [i39]Giordano Cicchetti, Danilo Comminiello:
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement. CoRR abs/2404.05669 (2024) - [i38]Pietro Nardelli, Danilo Comminiello:
JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos. CoRR abs/2405.02961 (2024) - [i37]Redemptor Jr Laceda Taloma, Patrizio Pisani, Danilo Comminiello:
Concrete Dense Network for Long-Sequence Time Series Clustering. CoRR abs/2405.05015 (2024) - [i36]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR abs/2405.07024 (2024) - [i35]Eleonora Grassucci, Jinho Choi, Jihong Park, Riccardo F. Gramaccioni, Giordano Cicchetti, Danilo Comminiello:
Rethinking Multi-User Semantic Communications with Deep Generative Models. CoRR abs/2405.09866 (2024) - [i34]Giordano Cicchetti, Eleonora Grassucci, Jihong Park, Jinho Choi, Sergio Barbarossa, Danilo Comminiello:
Language-Oriented Semantic Latent Representation for Image Transmission. CoRR abs/2405.09976 (2024) - [i33]Eleonora Lopez, Aurelio Uncini, Danilo Comminiello:
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. CoRR abs/2409.09194 (2024) - [i32]Eleonora Beatrice Rossi, Eleonora Lopez, Danilo Comminiello:
TACE: Tumor-Aware Counterfactual Explanations. CoRR abs/2409.13045 (2024) - [i31]Eleonora Lopez, Luigi Sigillo, Federica Colonnese, Massimo Panella, Danilo Comminiello:
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. CoRR abs/2410.02780 (2024) - 2023
- [j26]Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci, Francesco Pezone, Stefania Sardellitti, Paolo Di Lorenzo:
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. IEEE Commun. Mag. 61(11): 36-41 (2023) - [j25]Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello:
Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation. Pattern Recognit. Lett. 166: 24-30 (2023) - [j24]Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging. IEEE Signal Process. Lett. 30: 1397-1401 (2023) - [j23]Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello:
Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1200-1212 (2023) - [j22]Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini:
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1384-1396 (2023) - [c60]Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci, Danilo Comminiello:
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals. ICASSP Workshops 2023: 1-5 - [c59]Christian Marinoni, Riccardo F. Gramaccioni, Changan Chen, Aurelio Uncini, Danilo Comminiello:
Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. ICASSP 2023: 1-2 - [c58]Alireza Nezamdoust, Mandar Gogate, Kia Dashtipour, Amir Hussain, Danilo Comminiello:
Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. ICASSP Workshops 2023: 1-5 - [c57]Arturo Buscarino, Carlo Famoso, Danilo Comminiello, Luca Patané:
Quaternion Neural Networks for Multidimensional Applications: An Overview. ICECS 2023: 1-4 - [c56]Gianfranco Di Marco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. ICECS 2023: 1-4 - [c55]Luigi Sigillo, Eleonora Grassucci, Danilo Comminiello:
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation. ISCAS 2023: 1-5 - [c54]Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. MLSP 2023: 1-6 - [c53]Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini:
A U-Net Based Architecture for Automatic Music Transcription. MLSP 2023: 1-6 - [c52]Luigi Sigillo, Alessandro Marzilli, Daniela Moretti, Eleonora Grassucci, Claudio Greco, Danilo Comminiello:
Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting. MLSP 2023: 1-6 - [c51]Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello:
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. MLSP 2023: 1-6 - [c50]Christian Marinoni, Valerio Ponzi, Danilo Comminiello:
DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic. SYSTEM 2023: 51-61 - [c49]Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello:
Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA 2023: 1-5 - [e1]Danilo Comminiello, Michele Scarpiniti:
33rd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2023, Rome, Italy, September 17-20, 2023. IEEE 2023, ISBN 979-8-3503-2411-2 [contents] - [i30]Luigi Sigillo, Eleonora Grassucci, Danilo Comminiello:
StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation. CoRR abs/2305.10882 (2023) - [i29]Eleonora Grassucci, Sergio Barbarossa, Danilo Comminiello:
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery. CoRR abs/2306.04321 (2023) - [i28]Eleonora Grassucci, Yuki Mitsufuji, Ping Zhang, Danilo Comminiello:
Enhancing Semantic Communication with Deep Generative Models - An ICASSP Special Session Overview. CoRR abs/2309.02478 (2023) - [i27]Eleonora Grassucci, Christian Marinoni, Andrea Rodriguez, Danilo Comminiello:
Diffusion models for audio semantic communication. CoRR abs/2309.07195 (2023) - [i26]Matteo Mancanelli, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
PHYDI: Initializing Parameterized Hypercomplex Neural Networks as Identity Functions. CoRR abs/2310.07612 (2023) - [i25]Guilherme Vieira, Eleonora Grassucci, Marcos Eduardo Valle, Danilo Comminiello:
Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. CoRR abs/2310.07623 (2023) - [i24]Eleonora Lopez, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello:
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification. CoRR abs/2310.07633 (2023) - [i23]Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci, Danilo Comminiello:
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals. CoRR abs/2310.07648 (2023) - [i22]Luigi Sigillo, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Generalizing Medical Image Representations via Quaternion Wavelet Networks. CoRR abs/2310.10224 (2023) - [i21]Marco Comunità, Riccardo F. Gramaccioni, Emilian Postolache, Emanuele Rodolà, Danilo Comminiello, Joshua D. Reiss:
SyncFusion: Multimodal Onset-synchronized Video-to-Audio Foley Synthesis. CoRR abs/2310.15247 (2023) - [i20]Andrea Giuseppe Di Francesco, Giuliano Giampietro, Indro Spinelli, Danilo Comminiello:
GATSY: Graph Attention Network for Music Artist Similarity. CoRR abs/2311.00635 (2023) - 2022
- [j21]Christian Brignone, Gioia Mancini, Eleonora Grassucci, Aurelio Uncini, Danilo Comminiello:
Efficient Sound Event Localization and Detection in the Quaternion Domain. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2453-2457 (2022) - [c48]Giorgio De Magistris, Danilo Comminiello, Christian Napoli, Janusz T. Starczewski:
Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks (short paper). AIRO@AI*IA 2022: 70-80 - [c47]Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello:
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. ICASSP 2022: 9186-9190 - [c46]Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image- to- Image Translation. IJCNN 2022: 1-8 - [c45]Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. IJCNN 2022: 1-8 - [i19]Eric Guizzo, Christian Marinoni, Marco Pennese, Xinlei Ren, Xiguang Zheng, Chen Zhang, Bruno S. Masiero, Aurelio Uncini, Danilo Comminiello:
L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. CoRR abs/2202.10372 (2022) - [i18]Eleonora Grassucci, Gioia Mancini, Christian Brignone, Aurelio Uncini, Danilo Comminiello:
Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation. CoRR abs/2204.01851 (2022) - [i17]Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello:
Learning Speech Emotion Representations in the Quaternion Domain. CoRR abs/2204.02385 (2022) - [i16]Eleonora Lopez, Eleonora Grassucci, Martina Valleriani, Danilo Comminiello:
Multi-View Breast Cancer Classification via Hypercomplex Neural Networks. CoRR abs/2204.05798 (2022) - [i15]Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image-to-Image Translation. CoRR abs/2205.02087 (2022) - 2021
- [j20]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. Entropy 23(7): 856 (2021) - [c44]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
A Quaternion-Valued Variational Autoencoder. ICASSP 2021: 3310-3314 - [c43]Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello:
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. MLSP 2021: 1-6 - [i14]Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello:
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. CoRR abs/2104.05499 (2021) - [i13]Eleonora Grassucci, Edoardo Cicero, Danilo Comminiello:
Quaternion Generative Adversarial Networks. CoRR abs/2104.09630 (2021) - [i12]Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini:
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR abs/2104.09641 (2021) - [i11]Eleonora Grassucci, Aston Zhang, Danilo Comminiello:
Lightweight Convolutional Neural Networks By Hypercomplex Parameterization. CoRR abs/2110.04176 (2021) - 2020
- [j19]Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. 5(3): 172-176 (2020) - [c42]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
Deep Recurrent Neural Networks for Audio Classification in Construction Sites. EUSIPCO 2020: 810-814 - [c41]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO 2020: 1274-1278 - [c40]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Differentiable Branching In Deep Networks for Fast Inference. ICASSP 2020: 4167-4171 - [c39]Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello:
Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. MLSP 2020: 1-6 - [p12]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Music Genre Classification Using Stacked Auto-Encoders. Neural Approaches to Dynamics of Signal Exchanges 2020: 11-19 - [p11]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Learning Activation Functions from Data Using Cubic Spline Interpolation. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 73-83 - [p10]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 107-117 - [p9]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 131-140 - [p8]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Separation of Drum and Bass from Monaural Tracks. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 141-151 - [i10]Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini:
Quaternion-Valued Variational Autoencoder. CoRR abs/2010.11647 (2020)
2010 – 2019
- 2019
- [j18]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini:
Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. Algorithms 12(1): 2 (2019) - [j17]Fernando Sánchez Lasheras, Danilo Comminiello, Alicja Krzemien:
Advances in Complex Systems and Their Applications to Cybersecurity. Complex. 2019: 3261453:1-3261453:2 (2019) - [c38]Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Convex Combination of Spline Adaptive Filters. EUSIPCO 2019: 1-5 - [c37]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. ICASSP 2019: 7745-7749 - [c36]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-valued Kernel Activation Functions. ICASSP 2019: 8528-8532 - [c35]Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini:
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP 2019: 8533-8537 - [c34]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP 2019: 1-6 - [i9]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Widely Linear Kernels for Complex-Valued Kernel Activation Functions. CoRR abs/1902.02085 (2019) - [i8]Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Compressing deep quaternion neural networks with targeted regularization. CoRR abs/1907.11546 (2019) - [i7]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR abs/1908.03009 (2019) - 2018
- [c33]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini:
Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO 2018: 336-340 - [c32]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. EUSIPCO 2018: 872-876 - [c31]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini:
Sparse functional link adaptive filter using an ℓ1-norm regularization. ISCAS 2018: 1-5 - [c30]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP 2018: 1-6 - [p7]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Effective Blind Source Separation Based on the Adam Algorithm. Multidisciplinary Approaches to Neural Computing 2018: 57-66 - [i6]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini:
Improving Graph Convolutional Networks with Non-Parametric Activation Functions. CoRR abs/1802.09405 (2018) - [i5]Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR abs/1807.04065 (2018) - [i4]Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini:
Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. CoRR abs/1812.06811 (2018) - 2017
- [j16]Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Group sparse regularization for deep neural networks. Neurocomputing 241: 81-89 (2017) - [j15]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Combined nonlinear filtering architectures involving sparse functional link adaptive filters. Signal Process. 135: 168-178 (2017) - [j14]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency domain quaternion adaptive filters: Algorithms and convergence performance. Signal Process. 136: 69-80 (2017) - [c29]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. EUSIPCO 2017: 1145-1149 - [c28]Alberto Carini, Danilo Comminiello:
Introducing complex functional link polynomial filters. ICASSP 2017: 4656-4660 - [c27]Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini:
Flexible Generative Adversarial Networks with Non-parametric Activation Functions. IIH-MSP (1) 2017: 67-77 - [c26]Michele Scarpiniti, Danilo Comminiello, Federico Muciaccia, Aurelio Uncini:
Quaternion Widely Linear Forecasting of Air Quality. IIH-MSP (1) 2017: 393-403 - [c25]Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
A Multimodal Deep Network for the Reconstruction of T2W MR Images. IIH-MSP (1) 2017: 423-431 - 2016
- [b1]Danilo Comminiello:
Adaptive Algorithms for Intelligent Acoustic Interfaces. Sapienza University of Rome, Italy, 2016 - [j13]Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. 11(4): 59-70 (2016) - [j12]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. 364-365: 156-166 (2016) - [j11]Michele Scarpiniti, Danilo Comminiello, Gaetano Scarano, Raffaele Parisi, Aurelio Uncini:
Steady-State Performance of Spline Adaptive Filters. IEEE Trans. Signal Process. 64(4): 816-828 (2016) - [c24]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Diffusion spline adaptive filtering. EUSIPCO 2016: 1498-1502 - [c23]Steven Van Vaerenbergh, Luis Antonio Azpicueta-Ruiz, Danilo Comminiello:
A split kernel adaptive filtering architecture for nonlinear acoustic echo cancellation. EUSIPCO 2016: 1768-1772 - [c22]Vinal Patel, Danilo Comminiello, Michele Scarpiniti, Nithin V. George, Aurelio Uncini:
Design of hybrid nonlinear spline adaptive filters for active noise control. IJCNN 2016: 3420-3425 - [c21]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. MLSP 2016: 1-6 - [c20]Francesca Ortolani, Danilo Comminiello, Aurelio Uncini:
The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems. MLSP 2016: 1-6 - [p6]Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Frequency-Domain Adaptive Filtering in Hypercomplex Systems. Advances in Neural Networks 2016: 47-56 - [p5]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Benchmarking Functional Link Expansions for Audio Classification Tasks. Advances in Neural Networks 2016: 133-141 - [p4]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. Recent Advances in Nonlinear Speech Processing 2016: 235-243 - [i3]Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini:
Learning activation functions from data using cubic spline interpolation. CoRR abs/1605.05509 (2016) - [i2]Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Effective Blind Source Separation Based on the Adam Algorithm. CoRR abs/1605.07833 (2016) - [i1]Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini:
Group Sparse Regularization for Deep Neural Networks. CoRR abs/1607.00485 (2016) - 2015
- [j10]Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
Improving nonlinear modeling capabilities of functional link adaptive filters. Neural Networks 69: 51-59 (2015) - [j9]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear system identification using IIR Spline Adaptive Filters. Signal Process. 108: 30-35 (2015) - [j8]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Novel Cascade Spline Architectures for the Identification of Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(7): 1825-1835 (2015) - [j7]Danilo Comminiello, Stefania Cecchi, Michele Scarpiniti, Michele Gasparini, Laura Romoli, Francesco Piazza, Aurelio Uncini:
Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction. IEEE Trans. Multim. 17(8): 1262-1272 (2015) - [j6]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Online Sequential Extreme Learning Machine With Kernels. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2214-2220 (2015) - [c19]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
A nonlinear architecture involving a combination of proportionate functional link adaptive filters. EUSIPCO 2015: 2869-2873 - [c18]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Functional link expansions for nonlinear modeling of audio and speech signals. IJCNN 2015: 1-8 - [c17]Laura Romoli, Stefania Cecchi, Francesco Piazza, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
An interactive optimization procedure for stereophonic acoustic echo cancellation systems. IJCNN 2015: 1-7 - [c16]Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini:
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data 2015: 468-477 - [p3]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. Advances in Neural Networks 2015: 31-38 - [p2]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Online Selection of Functional Links for Nonlinear System Identification. Advances in Neural Networks 2015: 39-47 - [p1]Raffaele Parisi, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Integration of Audio and Video Clues for Source Localization by a Robotic Head. Advances in Neural Networks 2015: 149-157 - 2014
- [j5]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. Signal Process. 100: 112-123 (2014) - [j4]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations. IEEE ACM Trans. Audio Speech Lang. Process. 22(7): 1172-1183 (2014) - [c15]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation 2014: 1674-1681 - [c14]Laura Romoli, Stefania Cecchi, Danilo Comminiello, Francesco Piazza, Aurelio Uncini:
Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system. EUSIPCO 2014: 651-655 - [c13]Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
An effective criterion for pruning reservoir's connections in Echo State Networks. IJCNN 2014: 1205-1212 - [c12]Danilo Comminiello, Stefania Cecchi, Michele Gasparini, Michele Scarpiniti, Aurelio Uncini, Francesco Piazza:
Advanced intelligent acoustic interfaces for multichannel audio reproduction. IJCNN 2014: 3577-3584 - 2013
- [j3]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Nonlinear spline adaptive filtering. Signal Process. 93(4): 772-783 (2013) - [j2]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming schemes for nonstationary interfering noise reduction. Signal Process. 93(12): 3306-3318 (2013) - [j1]Danilo Comminiello, Michele Scarpiniti, Luis Antonio Azpicueta-Ruiz, Jerónimo Arenas-García, Aurelio Uncini:
Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation. IEEE Trans. Speech Audio Process. 21(7): 1502-1512 (2013) - [c11]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
Music classification using extreme learning machines. ISPA 2013: 377-381 - [c10]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA 2013: 778-782 - [c9]Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini:
Interactive quality enhancement in acoustic echo cancellation. TSP 2013: 488-492 - [c8]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
Combined adaptive beamforming techniques for noise reduction in changing environments. TSP 2013: 690-694 - [c7]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini:
A Preliminary Study on Transductive Extreme Learning Machines. WIRN 2013: 25-32 - [c6]Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini:
Proportionate Algorithms for Blind Source Separation. WIRN 2013: 99-106 - 2012
- [c5]Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. WIRN 2012: 93-100 - [c4]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Filter Approach to Adaptive Noise Cancellation. WIRN 2012: 101-109 - 2011
- [c3]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. DSP 2011: 1-6 - [c2]Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini:
A Collaborative Approach to Time-Series Prediction. WIRN 2011: 178-185 - 2010
- [c1]Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini:
A novel affine projection algorithm for superdirective microphone array beamforming. ISCAS 2010: 2127-2130
Coauthor Index
Riccardo F. Gramaccioni
aka: Riccardo Fosco Gramaccioni
aka: Riccardo Fosco Gramaccioni
[c71] [j22] [c56] [c53] [e1] [c45] [i12] [c42] [c41] [c40] [p12] [p11] [p10] [p9] [p8] [j18] [c38] [c37] [c34] [i7] [c33] [c31] [p7] [j15] [j14] [c29] [c26] [c25] [j12] [j11] [c24] [c22] [c21] [p6] [p5] [p4] [i3] [i2] [j10] [j9] [j8] [j7] [j6] [c19] [c18] [c17] [p3] [p2] [p1] [j5] [j4] [c15] [c13] [c12] [j3] [j2] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j28] [c71] [c70] [i43] [i36] [i33] [j25] [j24] [j22] [c59] [c56] [c54] [c53] [i26] [i22] [j21] [c47] [c46] [c45] [i19] [i18] [i15] [j20] [c44] [c43] [i14] [i12] [j19] [c42] [c41] [c40] [p12] [p11] [p10] [p9] [p8] [i10] [j18] [c38] [c37] [c36] [c35] [c34] [i9] [i8] [i7] [c33] [c32] [c31] [c30] [p7] [i6] [i5] [i4] [j16] [j15] [j14] [c29] [c27] [c26] [c25] [j13] [j12] [j11] [c24] [c22] [c21] [c20] [p6] [p5] [p4] [i3] [i2] [i1] [j10] [j9] [j8] [j7] [j6] [c19] [c18] [c17] [c16] [p3] [p2] [p1] [j5] [j4] [c15] [c14] [c13] [c12] [j3] [j2] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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