A novel affine projection algorithm for superdirective microphone array beamforming. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ISCAS, 2010)

Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (DSP, 2011)

A Collaborative Approach to Time-Series Prediction. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (WIRN, 2011)

PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (WIRN, 2012)

A Collaborative Filter Approach to Adaptive Noise Cancellation. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (WIRN, 2012)

Convex combination of MIMO filters for multichannel acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ISPA, 2013)

Music classification using extreme learning machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (ISPA, 2013)

Combined adaptive beamforming techniques for noise reduction in changing environments. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (TSP, 2013)

Interactive quality enhancement in acoustic echo cancellation. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (TSP, 2013)

A Preliminary Study on Transductive Extreme Learning Machines. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (WIRN, 2013)

Proportionate Algorithms for Blind Source Separation. - Michele Scarpiniti; Danilo Comminiello; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (WIRN, 2013)

Combined adaptive beamforming schemes for nonstationary interfering noise reduction. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Signal Process., 2013)

Nonlinear spline adaptive filtering. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 2013)

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (IEEE Trans. Speech Audio Process., 2013)

GP-based kernel evolution for L2-Regularization Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Congress on Evolutionary Computation, 2014)

Novel decorrelation approach for an advanced multichannel acoustic echo cancellation system. - Laura Romoli; Stefania Cecchi; Danilo Comminiello; Francesco Piazza; Aurelio Uncini (EUSIPCO, 2014)

Advanced intelligent acoustic interfaces for multichannel audio reproduction. - Danilo Comminiello; Stefania Cecchi; Michele Gasparini; Michele Scarpiniti; Aurelio Uncini; Francesco Piazza (IJCNN, 2014)

An effective criterion for pruning reservoir's connections in Echo State Networks. - Simone Scardapane; Gabriele Nocco; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IJCNN, 2014)

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 2014)

Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

A nonlinear architecture involving a combination of proportionate functional link adaptive filters. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (EUSIPCO, 2015)

Functional link expansions for nonlinear modeling of audio and speech signals. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (IJCNN, 2015)

An interactive optimization procedure for stereophonic acoustic echo cancellation systems. - Laura Romoli; Stefania Cecchi; Francesco Piazza; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IJCNN, 2015)

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Aurelio Uncini (INNS Conference on Big Data, 2015)

Improving nonlinear modeling capabilities of functional link adaptive filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Neural Networks, 2015)

Nonlinear system identification using IIR Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Signal Process., 2015)

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems. - Michele Scarpiniti; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (IEEE Trans. Circuits Syst. I Regul. Pap., 2015)

Intelligent Acoustic Interfaces With Multisensor Acquisition for Immersive Reproduction. - Danilo Comminiello; Stefania Cecchi; Michele Scarpiniti; Michele Gasparini; Laura Romoli; Francesco Piazza; Aurelio Uncini (IEEE Trans. Multim., 2015)

Online Sequential Extreme Learning Machine With Kernels. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (IEEE Trans. Neural Networks Learn. Syst., 2015)

Online Selection of Functional Links for Nonlinear System Identification. - Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2015)

Integration of Audio and Video Clues for Source Localization by a Robotic Head. - Raffaele Parisi; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2015)

Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2015)

Diffusion spline adaptive filtering. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2016)

A split kernel adaptive filtering architecture for nonlinear acoustic echo cancellation. - Steven Van Vaerenbergh; Luis Antonio Azpicueta-Ruiz; Danilo Comminiello (EUSIPCO, 2016)

Design of hybrid nonlinear spline adaptive filters for active noise control. - Vinal Patel; Danilo Comminiello; Michele Scarpiniti; Nithin V. George; Aurelio Uncini (IJCNN, 2016)

A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (MLSP, 2016)

The widely linear block quaternion least mean square algorithm for fast computation in 3D audio systems. - Francesca Ortolani; Danilo Comminiello; Aurelio Uncini (MLSP, 2016)

Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. - Simone Scardapane; Massimo Panella; Danilo Comminiello; Amir Hussain 001; Aurelio Uncini (IEEE Comput. Intell. Mag., 2016)

Learning activation functions from data using cubic spline interpolation. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (CoRR, 2016)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (CoRR, 2016)

A semi-supervised random vector functional-link network based on the transductive framework. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Inf. Sci., 2016)

Steady-State Performance of Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Gaetano Scarano; Raffaele Parisi; Aurelio Uncini (IEEE Trans. Signal Process., 2016)

Adaptive Algorithms for Intelligent Acoustic Interfaces. - Danilo Comminiello (2016)

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Recent Advances in Nonlinear Speech Processing, 2016)

Frequency-Domain Adaptive Filtering in Hypercomplex Systems. - Francesca Ortolani; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Advances in Neural Networks, 2016)

Benchmarking Functional Link Expansions for Audio Classification Tasks. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (Advances in Neural Networks, 2016)

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (EUSIPCO, 2017)

Introducing complex functional link polynomial filters. - Alberto Carini; Danilo Comminiello (ICASSP, 2017)

A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (IIH-MSP (1), 2017)

Flexible Generative Adversarial Networks with Non-parametric Activation Functions. - Eleonora Grassucci; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (IIH-MSP (1), 2017)

Quaternion Widely Linear Forecasting of Air Quality. - Michele Scarpiniti; Danilo Comminiello; Federico Muciaccia; Aurelio Uncini (IIH-MSP (1), 2017)

Group sparse regularization for deep neural networks. - Simone Scardapane; Danilo Comminiello; Amir Hussain 001; Aurelio Uncini (Neurocomputing, 2017)

Combined nonlinear filtering architectures involving sparse functional link adaptive filters. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Jerónimo Arenas-García; Aurelio Uncini (Signal Process., 2017)

Frequency domain quaternion adaptive filters: Algorithms and convergence performance. - Francesca Ortolani; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Signal Process., 2017)

Combined Sparse Regularization for Nonlinear Adaptive Filters. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Luis Antonio Azpicueta-Ruiz; Aurelio Uncini (EUSIPCO, 2018)

Improving Graph Convolutional Networks with Non-Parametric Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2018)

Sparse functional link adaptive filter using an ℓ1-norm regularization. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Aurelio Uncini (ISCAS, 2018)

Recurrent Neural Networks with flexible Gates using Kernel activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Simone Totaro; Aurelio Uncini (MLSP, 2018)

Effective Blind Source Separation Based on the Adam Algorithm. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Multidisciplinary Approaches to Neural Computing, 2018)

Convex Combination of Spline Adaptive Filters. - Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (EUSIPCO, 2019)

Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. - Danilo Comminiello; Marco Lella; Simone Scardapane; Aurelio Uncini (ICASSP, 2019)

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing. - Danilo Comminiello; Michele Scarpiniti; Raffaele Parisi; Aurelio Uncini (ICASSP, 2019)

Widely Linear Kernels for Complex-valued Kernel Activation Functions. - Simone Scardapane; Steven Van Vaerenbergh; Danilo Comminiello; Aurelio Uncini (ICASSP, 2019)

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (MLSP, 2019)

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm. - Danilo Comminiello; Michele Scarpiniti; Luis Antonio Azpicueta-Ruiz; Aurelio Uncini (Algorithms, 2019)

Advances in Complex Systems and Their Applications to Cybersecurity. - Fernando Sánchez Lasheras; Danilo Comminiello; Alicja Krzemien (Complex., 2019)

Compressing deep quaternion neural networks with targeted regularization. - Riccardo Vecchi; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (CoRR, 2019)

A Multimodal Deep Network for the Reconstruction of T2W MR Images. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Giorgio Finesi; Michele Scarpiniti; Aurelio Uncini (CoRR, 2019)

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. - Antonio Falvo; Danilo Comminiello; Simone Scardapane; Michele Scarpiniti; Aurelio Uncini (EUSIPCO, 2020)

Deep Recurrent Neural Networks for Audio Classification in Construction Sites. - Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini; Yong-Cheol Lee (EUSIPCO, 2020)

Differentiable Branching In Deep Networks for Fast Inference. - Simone Scardapane; Danilo Comminiello; Michele Scarpiniti; Enzo Baccarelli; Aurelio Uncini (ICASSP, 2020)

Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. - Michela Ricciardi Celsi; Simone Scardapane; Danilo Comminiello (MLSP, 2020)

Compressing deep-quaternion neural networks with targeted regularisation. - Riccardo Vecchi; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (CAAI Trans. Intell. Technol., 2020)

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. - Danilo Comminiello; Michele Scarpiniti; Simone Scardapane; Raffaele Parisi; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing. - Francesca Ortolani; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Learning Activation Functions from Data Using Cubic Spline Interpolation. - Simone Scardapane; Michele Scarpiniti; Danilo Comminiello; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Separation of Drum and Bass from Monaural Tracks. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Raffaele Parisi; Aurelio Uncini (Neural Advances in Processing Nonlinear Dynamic Signals, 2020)

Music Genre Classification Using Stacked Auto-Encoders. - Michele Scarpiniti; Simone Scardapane; Danilo Comminiello; Aurelio Uncini (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A Quaternion-Valued Variational Autoencoder. - Eleonora Grassucci; Danilo Comminiello; Aurelio Uncini (ICASSP, 2021)

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing. - 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; et al. (MLSP, 2021)

Quaternion Generative Adversarial Networks. - Eleonora Grassucci; Edoardo Cicero; Danilo Comminiello (CoRR, 2021)

Lightweight Convolutional Neural Networks By Hypercomplex Parameterization. - Eleonora Grassucci; Aston Zhang; Danilo Comminiello (CoRR, 2021)

An Information-Theoretic Perspective on Proper Quaternion Variational Autoencoders. - Eleonora Grassucci; Danilo Comminiello; Aurelio Uncini (Entropy, 2021)

Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks (short paper). - Giorgio De Magistris; Danilo Comminiello; Christian Napoli 001; Janusz T. Starczewski (AIRO@AI*IA, 2022)

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment. - Eric Guizzo; Christian Marinoni; Marco Pennese; Xinlei Ren; Xiguang Zheng; Chen Zhang; Bruno S. Masiero; Aurelio Uncini; Danilo Comminiello (ICASSP, 2022)

Hypercomplex Image- to- Image Translation. - Eleonora Grassucci; Luigi Sigillo; Aurelio Uncini; Danilo Comminiello (IJCNN, 2022)

CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. - Michele Scarpiniti; Cristiano Mauri; Danilo Comminiello; Aurelio Uncini; Yong-Cheol Lee (IJCNN, 2022)

Multi-View Breast Cancer Classification via Hypercomplex Neural Networks. - Eleonora Lopez; Eleonora Grassucci; Martina Valleriani; Danilo Comminiello (CoRR, 2022)

Efficient Sound Event Localization and Detection in the Quaternion Domain. - Christian Brignone; Gioia Mancini; Eleonora Grassucci; Aurelio Uncini; Danilo Comminiello (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals. - Eleonora Lopez; Eleonora Chiarantano; Eleonora Grassucci; Danilo Comminiello (ICASSP Workshops, 2023)

Overview of the L3DAS23 Challenge on Audio-Visual Extended Reality. - Christian Marinoni; Riccardo F. Gramaccioni; Changan Chen; Aurelio Uncini; Danilo Comminiello (ICASSP, 2023)

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. - Alireza Nezamdoust; Mandar Gogate; Kia Dashtipour; Amir Hussain 001; Danilo Comminiello (ICASSP Workshops, 2023)

Quaternion Neural Networks for Multidimensional Applications: An Overview. - Arturo Buscarino; Carlo Famoso; Danilo Comminiello; Luca Patané (ICECS, 2023)

Quaternion Gated Recurrent Units for Renewable Energy: Improving Power Forecasting. - Gianfranco Di Marco; Danilo Comminiello; Michele Scarpiniti; Aurelio Uncini (ICECS, 2023)

StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation. - Luigi Sigillo; Eleonora Grassucci; Danilo Comminiello (ISCAS, 2023)

Phydi: Initializing Parameterized Hypercomplex Neural Networks As Identity Functions. - Matteo Mancanelli; Eleonora Grassucci; Aurelio Uncini; Danilo Comminiello (MLSP, 2023)

A U-Net Based Architecture for Automatic Music Transcription. - Michele Scarpiniti; Edoardo Sigismondi; Danilo Comminiello; Aurelio Uncini (MLSP, 2023)

Sailing the Seaformer: A Transformer-Based Model for Vessel Route Forecasting. - Luigi Sigillo; Alessandro Marzilli; Daniela Moretti; Eleonora Grassucci; Claudio Greco 006; Danilo Comminiello (MLSP, 2023)

Dual Quaternion Rotational and Translational Equivariance in 3D Rigid Motion Modelling. - Guilherme Vieira; Eleonora Grassucci; Marcos Eduardo Valle; Danilo Comminiello (MLSP, 2023)

DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic. - Christian Marinoni; Valerio Ponzi; Danilo Comminiello (SYSTEM, 2023)

Quaternion Anti-Transfer Learning for Speech Emotion Recognition. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni; Danilo Comminiello (WASPAA, 2023)

Generative Semantic Communication: Diffusion Models Beyond Bit Recovery. - Eleonora Grassucci; Sergio Barbarossa; Danilo Comminiello (CoRR, 2023)

Enhancing Semantic Communication with Deep Generative Models - An ICASSP Special Session Overview. - Eleonora Grassucci; Yuki Mitsufuji; Ping Zhang; Danilo Comminiello (CoRR, 2023)

GATSY: Graph Attention Network for Music Artist Similarity. - Andrea Giuseppe Di Francesco; Giuliano Giampietro; Indro Spinelli; Danilo Comminiello (CoRR, 2023)

GROUSE: A Task and Model Agnostic Wavelet- Driven Framework for Medical Imaging. - Eleonora Grassucci; Luigi Sigillo; Aurelio Uncini; Danilo Comminiello (IEEE Signal Process. Lett., 2023)

Learning Speech Emotion Representations in the Quaternion Domain. - Eric Guizzo; Tillman Weyde; Simone Scardapane; Danilo Comminiello (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Dual quaternion ambisonics array for six-degree-of-freedom acoustic representation. - Eleonora Grassucci; Gioia Mancini; Christian Brignone; Aurelio Uncini; Danilo Comminiello (Pattern Recognit. Lett., 2023)

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. - Danilo Comminiello; Alireza Nezamdoust; Simone Scardapane; Michele Scarpiniti; Amir Hussain 001; Aurelio Uncini (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. - Sergio Barbarossa; Danilo Comminiello; Eleonora Grassucci; Francesco Pezone; Stefania Sardellitti; Paolo Di Lorenzo (IEEE Commun. Mag., 2023)

Adaptive Combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation. - Alireza Nezamdoust; Danilo Comminiello (EUROCAST (2), 2024)

Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. - Alireza Nezamdoust; Michele Scarpiniti; Aurelio Uncini; Danilo Comminiello (EUSIPCO, 2024)

Syncfusion: Multimodal Onset-Synchronized Video-to-Audio Foley Synthesis. - Marco Comunità; Riccardo F. Gramaccioni; Emilian Postolache; Emanuele Rodolà; Danilo Comminiello; Joshua D. Reiss (ICASSP, 2024)

Diffusion Models for Audio Semantic Communication. - Eleonora Grassucci; Christian Marinoni; Andrea Rodriguez; Danilo Comminiello (ICASSP, 2024)

Enhancing Semantic Communication with Deep Generative Models: An Overview. - Eleonora Grassucci; Yuki Mitsufuji; Ping Zhang; Danilo Comminiello (ICASSP, 2024)

Efficient Functional Link Adaptive Filters Based On Nearest Kronecker Product Decomposition. - Alireza Nezamdoust; Mario Huemer; Aurelio Uncini; Danilo Comminiello (ICASSP, 2024)

Detecting Audio Deepfakes: Integrating CNN and BiLSTM with Multi-Feature Concatenation. - Taiba Majid Wani; Syed Asif Ahmad Qadri; Danilo Comminiello; Irene Amerini (IH&MMSec, 2024)

Towards Explaining Hypercomplex Neural Networks. - Eleonora Lopez; Eleonora Grassucci; Debora Capriotti; Danilo Comminiello (IJCNN, 2024)

Ship in Sight: Diffusion Models for Ship-Image Super Resolution. - Luigi Sigillo; Riccardo Fosco Gramaccioni; Alessandro Nicolosi; Danilo Comminiello (IJCNN, 2024)

Language-Oriented Semantic Latent Representation for Image Transmission. - Giordano Cicchetti; Eleonora Grassucci; Jihong Park; Jinho Choi 001; Sergio Barbarossa; Danilo Comminiello (MLSP, 2024)

Hierarchical Hypercomplex Network for Multimodal Emotion Recognition. - Eleonora Lopez; Aurelio Uncini; Danilo Comminiello (MLSP, 2024)

UNet-WD: Deep Learning for Multi-Appliance Water Disaggregation. - Redemptor Jr Laceda Taloma; Danilo Comminiello; Patrizio Pisani; Francesca Cuomo (IFIP Networking, 2024)

β-Quaternion Centralized Fusion Estimation Problem Under First-Order Properness Conditions. - José D. Jiménez-López; Rosa M. Fernández-Alcalá; Jesús Navarro-Moreno; Juan Carlos Ruiz-Molina; Eleonora Grassucci; Danilo Comminiello (RTSI, 2024)

PHemoNet: A Multimodal Network for Physiological Signals. - Eleonora Lopez; Aurelio Uncini; Danilo Comminiello (RTSI, 2024)

Robust Framework for the detection of Alzheimer's Disease via analysis of Spontaneous Speech Signals. - Adnan Elahi; Danilo Comminiello; Sara Marceglia (SPA, 2024)

Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts. - Jinho Choi 001; Jihong Park; Eleonora Grassucci; Danilo Comminiello (VTC Spring, 2024)

Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks. - Eleonora Grassucci; Jihong Park; Sergio Barbarossa; Seong-Lyun Kim; Jinho Choi 001; Danilo Comminiello (CoRR, 2024)

NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement. - Giordano Cicchetti; Danilo Comminiello (CoRR, 2024)

JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos. - Pietro Nardelli; Danilo Comminiello (CoRR, 2024)

Concrete Dense Network for Long-Sequence Time Series Clustering. - Redemptor Jr Laceda Taloma; Patrizio Pisani; Danilo Comminiello (CoRR, 2024)

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. - Danilo Comminiello; Eleonora Grassucci; Danilo P. Mandic; Aurelio Uncini (CoRR, 2024)

Rethinking Multi-User Semantic Communications with Deep Generative Models. - Eleonora Grassucci; Jinho Choi 001; Jihong Park; Riccardo F. Gramaccioni; Giordano Cicchetti; Danilo Comminiello (CoRR, 2024)

TACE: Tumor-Aware Counterfactual Explanations. - Eleonora Beatrice Rossi; Eleonora Lopez; Danilo Comminiello (CoRR, 2024)

A Wavelet Diffusion GAN for Image Super-Resolution. - Lorenzo Aloisi; Luigi Sigillo; Aurelio Uncini; Danilo Comminiello (CoRR, 2024)

Stable-V2A: Synthesis of Synchronized Sound Effects with Temporal and Semantic Controls. - Riccardo Fosco Gramaccioni; Christian Marinoni; Emilian Postolache; Marco Comunità; Luca Cosmo; Joshua D. Reiss; Danilo Comminiello (CoRR, 2024)

Attention-map augmentation for hypercomplex breast cancer classification. - Eleonora Lopez; Filippo Betello; Federico Carmignani; Eleonora Grassucci; Danilo Comminiello (Pattern Recognit. Lett., 2024)

Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. - Danilo Comminiello; Eleonora Grassucci; Danilo P. Mandic; Aurelio Uncini (IEEE Signal Process. Mag., 2024)

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. - Eleonora Grassucci; Aston Zhang; Danilo Comminiello (IEEE Trans. Neural Networks Learn. Syst., 2024)

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models. - Eleonora Lopez; Luigi Sigillo; Federica Colonnese; Massimo Panella; Danilo Comminiello (ICASSP, 2025)

Gramian Multimodal Representation Learning and Alignment. - Giordano Cicchetti; Eleonora Grassucci; Luigi Sigillo; Danilo Comminiello (ICLR, 2025)

A Deep Cascade Framework for Non-Intrusive Power Disaggregation in Solar-Powered Households. - Giulia Tanoni; Redemptor Laceda Taloma; Emanuele Principi; Danilo Comminiello; Stefano Squartini (ISCAS, 2025)

Generalizing medical image representations via quaternion wavelet networks. - Luigi Sigillo; Eleonora Grassucci; Aurelio Uncini; Danilo Comminiello (Neurocomputing, 2025)

Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives. - Redemptor Jr Laceda Taloma; Francesca Cuomo; Danilo Comminiello; Patrizio Pisani (Artif. Intell. Rev., 2025)

Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education. - Eleonora Grassucci; Gualtiero Grassucci; Aurelio Uncini; Danilo Comminiello (CoRR, 2025)

Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution. - Luigi Sigillo; Christian Bianchi; Aurelio Uncini; Danilo Comminiello (CoRR, 2025)

Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free. - Luigi Sigillo; Shengfeng He; Danilo Comminiello (CoRR, 2025)

Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution. - Luigi Sigillo; Renato Giamba; Danilo Comminiello (CoRR, 2025)