Simone Scardapane

Trans. Mach. Learn. Res., 2022

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2022

A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models.

[BibT_eX]

[DOI]

Entropy, 2022

Inferring 3D change detection from bitemporal optical images.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

Alessio Verdone

Massimo Panella

Proceedings of the International Joint Conference on Neural Networks, 2022

Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems.

[BibT_eX]

[DOI]

Flaminia Spasiano

Gabriele Gennaro

Proceedings of the International Joint Conference on Neural Networks, 2022

Pixle: a fast and effective black-box attack based on rearranging pixels.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Engagement Detection with Multi-Task Training in E-Learning Environments.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Towards Self-Supervised Gaze Estimation.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Distributed Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2021

Adaptive Propagation Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.

[BibT_eX]

[DOI]

Sigurd Løkse

Robert Jenssen

IEEE Trans. Neural Networks Learn. Syst., 2021

MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing.

[BibT_eX]

[DOI]

Valerio Marsocci

Nikos Komodakis

Remote. Sens., 2021

Structured Ensembles: An approach to reduce the memory footprint of ensemble methods.

[BibT_eX]

[DOI]

Neural Networks, 2021

Bayesian Neural Networks with Maximum Mean Discrepancy regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2021

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells.

[BibT_eX]

[DOI]

Livia Lilli

Enrico Giarnieri

Comput. Math. Methods Medicine, 2021

Avalanche: An End-to-End Library for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Music Genre Classification Using Stacked Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Separation of Drum and Bass from Monaural Tracks.

[BibT_eX]

[DOI]

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Learning Activation Functions from Data Using Cubic Spline Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals.

[BibT_eX]

[DOI]

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Complex-Valued Neural Networks With Nonparametric Activation Functions.

[BibT_eX]

[DOI]

Amir Hussain

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Missing data imputation with adversarially-trained graph convolutional networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.

[BibT_eX]

[DOI]

Inf. Sci., 2020

A non-parametric softmax for improving neural attention in time-series forecasting.

[BibT_eX]

[DOI]

Simone Totaro

Amir Hussain

Neurocomputing, 2020

Efficient continual learning in neural networks with embedding regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Distributed Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Pseudo-Rehearsal for Continual Learning with Normalizing Flows.

[BibT_eX]

[DOI]

CoRR, 2020

Why Should We Add Early Exits to Neural Networks?

[BibT_eX]

[DOI]

Cogn. Comput., 2020

Compressing deep-quaternion neural networks with targeted regularisation.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2020

Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments.

[BibT_eX]

[DOI]

Michela Ricciardi Celsi

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Differentiable Branching In Deep Networks for Fast Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Frontiers in Reservoir Computing.

[BibT_eX]

[DOI]

Claudio Gallicchio

Mantas Lukosevicius

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Kafnets: Kernel-based non-parametric activation functions for neural networks.

[BibT_eX]

[DOI]

Simone Totaro

Neural Networks, 2019

A Multimodal Deep Network for the Reconstruction of T2W MR Images.

[BibT_eX]

[DOI]

CoRR, 2019

Compressing deep quaternion neural networks with targeted regularization.

[BibT_eX]

[DOI]

CoRR, 2019

On the Stability and Generalization of Learning with Kernel Activation Functions.

[BibT_eX]

[DOI]

Michele Cirillo

CoRR, 2019

A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Multikernel Activation Functions: Formulation and a Case Study.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Deep Randomized Neural Networks.

[BibT_eX]

[DOI]

Claudio Gallicchio

Proceedings of the Recent Trends in Learning From Data, 2019

Widely Linear Kernels for Complex-valued Kernel Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Effective Blind Source Separation Based on the Adam Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Privacy-Preserving Data Mining for Distributed Medical Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Stochastic Training of Neural Networks via Successive Convex Approximations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Bayesian Random Vector Functional-Link Networks for Robust Data Modeling.

[BibT_eX]

[DOI]

Dianhui Wang

IEEE Trans. Cybern., 2018

Complex-valued Neural Networks with Non-parametric Activation Functions.

[BibT_eX]

[DOI]

Amir Hussain

CoRR, 2018

Recurrent Neural Networks with flexible Gates using Kernel activation Functions.

[BibT_eX]

[DOI]

Simone Totaro

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Sparse functional link adaptive filter using an ℓ<sub>1</sub>-norm regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Improving Graph Convolutional Networks with Non-Parametric Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Combined Sparse Regularization for Nonlinear Adaptive Filters.

[BibT_eX]

[DOI]

Michele Scarpiniti

Luis Antonio Azpicueta-Ruiz

Proceedings of the 26th European Signal Processing Conference, 2018

Bidirectional deep-readout echo state networks.

[BibT_eX]

[DOI]

Sigurd Løkse

Robert Jenssen

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Randomness in neural networks: an overview.

[BibT_eX]

[DOI]

Dianhui Wang

WIREs Data Mining Knowl. Discov., 2017

Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

A framework for parallel and distributed training of neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2017

Group sparse regularization for deep neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Bidirectional deep echo state networks.

[BibT_eX]

[DOI]

Sigurd Løkse

Robert Jenssen

CoRR, 2017

Kafnets: kernel-based non-parametric activation functions for neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

Adaptation and learning over networks for nonlinear system modeling.

[BibT_eX]

[DOI]

Jie Chen

Cédric Richard

CoRR, 2017

Semi-supervised Echo State Networks for Audio Classification.

[BibT_eX]

[DOI]

Cogn. Comput., 2017

Advances in Biologically Inspired Reservoir Computing.

[BibT_eX]

[DOI]

John B. Butcher

Zeeshan Khawar Malik

Cogn. Comput., 2017

On the use of deep recurrent neural networks for detecting audio spoofing attacks.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Efficient Data Augmentation Using Graph Imputation Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Flexible Generative Adversarial Networks with Non-parametric Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

A Multimodal Deep Network for the Reconstruction of T2W MR Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Recursive multikernel filters exploiting nonlinear temporal structure.

[BibT_eX]

[DOI]

Ignacio Santamaría

Proceedings of the 25th European Signal Processing Conference, 2017

In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 11th International Workshop on Artificial Intelligence for Cultural Heritage co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016

Benchmarking Functional Link Expansions for Audio Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

A decentralized training algorithm for Echo State Networks in distributed big data applications.

[BibT_eX]

[DOI]

Dianhui Wang

Massimo Panella

Neural Networks, 2016

Distributed semi-supervised support vector machines.

[BibT_eX]

[DOI]

Neural Networks, 2016

A semi-supervised random vector functional-link network based on the transductive framework.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Effective Blind Source Separation Based on the Adam Algorithm.

[BibT_eX]

[DOI]

CoRR, 2016

Learning activation functions from data using cubic spline interpolation.

[BibT_eX]

[DOI]

CoRR, 2016

Distributed Supervised Learning using Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Granular Computing Techniques for Classification and Semantic Characterization of Structured Data.

[BibT_eX]

[DOI]

Cogn. Comput., 2016

Distributed Reservoir Computing with Sparse Readouts [Research Frontier].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2016

Parallel and distributed training of neural networks via successive convex approximation.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Distributed spectral clustering based on Euclidean distance matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Diffusion spline adaptive filtering.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Significance-Based Pruning for Reservoir's Neurons in Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Selection of Functional Links for Nonlinear System Identification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

Online Sequential Extreme Learning Machine With Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Improving nonlinear modeling capabilities of functional link adaptive filters.

[BibT_eX]

[DOI]

Neural Networks, 2015

Prediction of telephone calls load using Echo State Network with exogenous variables.

[BibT_eX]

[DOI]

Neural Networks, 2015

Distributed learning for Random Vector Functional-Link networks.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Learning from Distributed Data Sources Using Random Vector Functional-Link Networks.

[BibT_eX]

[DOI]

Proceedings of the INNS Conference on Big Data 2015, 2015

Distributed music classification using Random Vector Functional-Link nets.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Functional link expansions for nonlinear modeling of audio and speech signals.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

An effective criterion for pruning reservoir's connections in Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An interpretable graph-based image classifier.

[BibT_eX]

[DOI]