Simone Scardapane

According to our database, Simone Scardapane authored at least 136 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Meta-Learning Approach for Training Explainable Graph Neural Networks.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions.

Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain

Cogn. Comput., March, 2024

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.

Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain

Cogn. Comput., January, 2024

Conditional computation in neural networks: principles and research trends.

Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

Cascaded Scaling Classifier: class incremental learning with probability scaling.

Jary Pomponi, Alessio Devoto, Simone Scardapane

CoRR, 2024

Adaptive Point Transformer.

Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane

CoRR, 2024

NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks.

Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri

CoRR, 2024

2023

Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition.

Leandro Maglianella, Lorenzo Nicoletti, Stefano Giagu, Christian Napoli, Simone Scardapane

Comput. Softw. Big Sci., December, 2023

Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.

Indro Spinelli, Riccardo Bianchini, Simone Scardapane

Neural Networks, October, 2023

Guest Editorial: Trends in Reservoir Computing.

Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano

Cogn. Comput., September, 2023

Continual learning with invertible generative models.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Networks, July, 2023

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.

Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks.

Alessio Devoto, Indro Spinelli, Francesca Murabito, Fabrizio Chiovoloni, Riccardo Musmeci, Simone Scardapane

IEEE Trans. Ind. Informatics, March, 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

Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation.

Valerio Marsocci, Simone Scardapane

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

On the robustness of vision transformers for in-flight monocular depth estimation.

Simone Ercolino, Alessio Devoto, Luca Monorchio, Matteo Santini, Silvio Mazzaro, Simone Scardapane

Ind. Artif. Intell., 2023

Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference.

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane

CoRR, 2023

Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design.

Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio

CoRR, 2023

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.

Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo

CoRR, 2023

Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability.

Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane

CoRR, 2023

Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models.

Jary Pomponi, Daniele Dántoni, Alessandro Nicolosi, Simone Scardapane

IEEE Access, 2023

Probabilistic Load Forecasting With Reservoir Computing.

Michele Guerra, Simone Scardapane, Filippo Maria Bianchi

IEEE Access, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Explainability in subgraphs-enhanced Graph Neural Networks.

Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Continual Self-Supervised Learning in Earth Observation with Embedding Regularization.

Hamna Moieez, Valerio Marsocci, Simone Scardapane

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo.

Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves.

Alberto Carraro, Gaetano Saurio, Ainara López-Maestresalas, Simone Scardapane, Francesco Marinello

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates.

Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EGG-GAE: scalable graph neural networks for tabular data imputation.

Lev Telyatnikov, Simone Scardapane

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach (SHORT PAPER).

Tommaso Torda, Simona Gargiulo, Greta Grillo, Andrea Ciardiello, Cecilia Voena, Stefano Giagu, Simone Scardapane

Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022

Centroids Matching: an efficient Continual Learning approach operating in the embedding space.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Trans. Mach. Learn. Res., 2022

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

Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini

IEEE Trans. Artif. Intell., 2022

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

Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane

Inf. Process. Manag., 2022

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

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Entropy, 2022

Inferring 3D change detection from bitemporal optical images.

Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane, Mattia Crespi

CoRR, 2022

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

Alessio Verdone, Simone Scardapane, Massimo Panella

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack

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

Towards Self-Supervised Gaze Estimation.

Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera

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

2021

Distributed Training of Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

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

Adaptive Propagation Graph Convolutional Network.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Valerio Marsocci, Simone Scardapane, Nikos Komodakis

Remote. Sens., 2021

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

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neural Networks, 2021

Bayesian Neural Networks with Maximum Mean Discrepancy regularization.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Neurocomputing, 2021

Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning.

Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini

CoRR, 2021

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

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CoRR, 2021

A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells.

L. Lilli, Enrico Giarnieri, Simone Scardapane

Comput. Math. Methods Medicine, 2021

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

Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

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

2020

Music Genre Classification Using Stacked Auto-Encoders.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

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

Separation of Drum and Bass from Monaural Tracks.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the 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

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

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

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

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

Complex-Valued Neural Networks With Nonparametric Activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini

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

Missing data imputation with adversarially-trained graph convolutional networks.

Indro Spinelli, Simone Scardapane, Aurelio Uncini

Neural Networks, 2020

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

Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini

Inf. Sci., 2020

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

Simone Totaro, Amir Hussain, Simone Scardapane

Neurocomputing, 2020

Efficient continual learning in neural networks with embedding regularization.

Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini

Neurocomputing, 2020

Distributed Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

CoRR, 2020

Pseudo-Rehearsal for Continual Learning with Normalizing Flows.

Jary Pomponi, Simone Scardapane, Aurelio Uncini

CoRR, 2020

Why Should We Add Early Exits to Neural Networks?

Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

Cogn. Comput., 2020

Compressing deep-quaternion neural networks with targeted regularisation.

Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

CAAI Trans. Intell. Technol., 2020

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

Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello

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

Differentiable Branching In Deep Networks for Fast Inference.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 28th European Signal Processing Conference, 2020

Frontiers in Reservoir Computing.

Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane

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

2019

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

Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini

Neural Networks, 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

Compressing deep quaternion neural networks with targeted regularization.

Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

CoRR, 2019

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

Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini

CoRR, 2019

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

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

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

Multikernel Activation Functions: Formulation and a Case Study.

Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo

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

Deep Randomized Neural Networks.

Claudio Gallicchio, Simone Scardapane

Proceedings of the Recent Trends in Learning From Data, 2019

Widely Linear Kernels for Complex-valued Kernel Activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Paolo Di Lorenzo, Simone Scardapane

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

2018

Effective Blind Source Separation Based on the Adam Algorithm.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Privacy-Preserving Data Mining for Distributed Medical Scenarios.

Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella

Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018

Stochastic Training of Neural Networks via Successive Convex Approximations.

Simone Scardapane, Paolo Di Lorenzo

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Simone Scardapane, Dianhui Wang, Aurelio Uncini

IEEE Trans. Cybern., 2018

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

Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini

CoRR, 2018

Recurrent Neural Networks with flexible Gates using Kernel activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini

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

Sparse functional link adaptive filter using an ℓ₁-norm regularization.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini

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

Improving Graph Convolutional Networks with Non-Parametric Activation Functions.

Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

Proceedings of the 26th European Signal Processing Conference, 2018

Combined Sparse Regularization for Nonlinear Adaptive Filters.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini

Proceedings of the 26th European Signal Processing Conference, 2018

Bidirectional deep-readout echo state networks.

Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen

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

2017

Randomness in neural networks: an overview.

Simone Scardapane, Dianhui Wang

WIREs Data Mining Knowl. Discov., 2017

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

Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella

IEEE Trans. Neural Networks Learn. Syst., 2017

A framework for parallel and distributed training of neural networks.

Simone Scardapane, Paolo Di Lorenzo

Neural Networks, 2017

Group sparse regularization for deep neural networks.

Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini

Neurocomputing, 2017

Bidirectional deep echo state networks.

Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen

CoRR, 2017

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

Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini

CoRR, 2017

Adaptation and learning over networks for nonlinear system modeling.

Simone Scardapane, Jie Chen, Cédric Richard

CoRR, 2017

Semi-supervised Echo State Networks for Audio Classification.

Simone Scardapane, Aurelio Uncini

Cogn. Comput., 2017

Advances in Biologically Inspired Reservoir Computing.

Simone Scardapane, John B. Butcher, Filippo Maria Bianchi, Zeeshan Khawar Malik

Cogn. Comput., 2017

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

Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini

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

Efficient Data Augmentation Using Graph Imputation Neural Networks.

Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

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

Flexible Generative Adversarial Networks with Non-parametric Activation Functions.

Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

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

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

Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

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

Recursive multikernel filters exploiting nonlinear temporal structure.

Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamaría

Proceedings of the 25th European Signal Processing Conference, 2017

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

Donatella Firmani, Paolo Merialdo, Elena Nieddu, Simone Scardapane

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.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

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.

Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini

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

A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016

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

Simone Scardapane, Dianhui Wang, Massimo Panella

Neural Networks, 2016

Distributed semi-supervised support vector machines.

Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini

Neural Networks, 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

Effective Blind Source Separation Based on the Adam Algorithm.

Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

CoRR, 2016

Learning activation functions from data using cubic spline interpolation.

Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

CoRR, 2016

Distributed Supervised Learning using Neural Networks.

Simone Scardapane

CoRR, 2016

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

Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian

Cogn. Comput., 2016

Distributed Reservoir Computing with Sparse Readouts [Research Frontier].

Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini

IEEE Comput. Intell. Mag., 2016

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

Paolo Di Lorenzo, Simone Scardapane

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

Distributed spectral clustering based on Euclidean distance matrix completion.

Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini

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

Diffusion spline adaptive filtering.

Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

Proceedings of the 24th European Signal Processing Conference, 2016

2015

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

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

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

Online Selection of Functional Links for Nonlinear System Identification.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

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

Online Sequential Extreme Learning Machine With Kernels.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

IEEE Trans. Neural Networks Learn. Syst., 2015

Improving nonlinear modeling capabilities of functional link adaptive filters.

Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Neural Networks, 2015

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

Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian

Neural Networks, 2015

Distributed learning for Random Vector Functional-Link networks.

Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini

Inf. Sci., 2015

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

Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini

Proceedings of the INNS Conference on Big Data 2015, 2015

Distributed music classification using Random Vector Functional-Link nets.

Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini

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

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

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

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

2014

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

Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

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

An interpretable graph-based image classifier.

Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi

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

GP-based kernel evolution for L2-Regularization Networks.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Proportionate Algorithms for Blind Source Separation.

Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini

Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

A Preliminary Study on Transductive Extreme Learning Machines.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

Interactive quality enhancement in acoustic echo cancellation.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Music classification using extreme learning machines.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

Convex combination of MIMO filters for multichannel acoustic echo cancellation.

Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013

2012

PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study.

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012