Simone Scardapane

214 papers A* 6A 3B 14C 5Misc 4Journal 140Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A data attribution approach for unsupervised anomaly detection on multivariate time series. Expert Syst. Appl. Alessio Verdone, Simone Scardapane, Massimo Panella
2026	J	`jnl`	A survey on dynamic neural networks: From computer vision to multi-modal sensor fusion. Image Vis. Comput. Fabio Montello, Ronja Güldenring, Simone Scardapane, Lazaros Nalpantidis
2025	J	`jnl`	A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion. CoRR Fabio Montello, Ronja Güldenring, Simone Scardapane, Lazaros Nalpantidis
2025	A*	`conf`	Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. AAAI Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
2025	J	`jnl`	Adaptive Semantic Token Communication for Transformer-based Edge Inference. CoRR Alessio Devoto, Jary Pomponi, Mattia Merluzzi, Paolo Di Lorenzo, Simone Scardapane
2025	J	`jnl`	Adaptive layer and token selection for efficient fine-tuning of vision transformers. Neurocomputing Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2025	J	`jnl`	Adaptive token selection for scalable point cloud transformers. Neural Networks Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane
2025	J	`jnl`	Attention Sinks in Diffusion Language Models. CoRR Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, Fabrizio Silvestri, Simone Scardapane, Alessio Devoto
2025	J	`jnl`	Class Incremental Learning with probability dampening and cascaded gated classifier. Neurocomputing Jary Pomponi, Alessio Devoto, Simone Scardapane
2025	J	`jnl`	Communication Efficient Split Learning of ViTs with Attention-based Double Compression. CoRR Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
2025	A	`conf`	How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not. INTERSPEECH Francesco Verdini, Pierfrancesco Melucci, Stefano Perna, Francesco Cariaggi, Marco Gaido, Sara Papi, Szymon Mazurek, Marek Kasztelnik, Luisa Bentivogli, Sébastien Bratières, Paolo Merialdo, Simone Scardapane
2025	J	`jnl`	Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. Trans. Mach. Learn. Res. Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio
2025	J	`jnl`	Interpretable Classification of Levantine Ceramic Thin Sections via Neural Networks. CoRR Sara Capriotti, Alessio Devoto, Simone Scardapane, Silvano Mignardi, Laura Medeghini
2025	J	`jnl`	Interpretable classification of Levantine ceramic thin sections via neural networks. Mach. Learn. Sci. Technol. Sara Capriotti, Alessio Devoto, Simone Scardapane, Silvano Mignardi, Laura Medeghini
2025	J	`jnl`	MASS: MoErging through Adaptive Subspace Selection. CoRR Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
2025	J	`jnl`	Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection. CoRR Donatella Genovese, Alessandro Sgroi, Alessio Devoto, Samuel Valentine, Lennox Wood, Cristiano Sebastiani, Stefano Giagu, Monica D'Onofrio, Simone Scardapane
2025	J	`jnl`	NACHOS: Neural Architecture Search for Hardware-Constrained Early-Exit Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri
2025	J	`jnl`	Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression. CoRR Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric de la Clergerie, Benoît Sagot
2025	A*	`conf`	Task Singular Vectors: Reducing Task Interference in Model Merging. CVPR Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2025	J	`jnl`	TopoBench: A Framework for Benchmarking Topological Deep Learning. J. Data-centric Mach. Learn. Res. Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2025	B	`conf`	Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. IJCNN Marco Montagna, Simone Scardapane, Lev Telyatnikov
2025	J	`jnl`	Universal Properties of Activation Sparsity in Modern Large Language Models. CoRR Filip Szatkowski, Patryk Bedkowski, Alessio Devoto, Jan Dubinski, Pasquale Minervini, Mikolaj Piórczynski, Simone Scardapane, Bartosz Wójcik
2024	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2024	J	`jnl`	A Simple and Effective L CoRR Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
2024	A*	`conf`	A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression. EMNLP Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
2024	J	`jnl`	Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning. CoRR Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2024	J	`jnl`	Adaptive Point Transformer. CoRR Alessandro Baiocchi, Indro Spinelli, Alessandro Nicolosi, Simone Scardapane
2024	—	`conf`	Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. GLOBECOM (Workshops) Alessio Devoto, Jary Pomponi, Simone Petruzzi, Paolo Di Lorenzo, Simone Scardapane
2024	J	`jnl`	Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. CoRR Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
2024	J	`jnl`	Alice's Adventures in a Differentiable Wonderland - Volume I, A Tour of the Land. CoRR Simone Scardapane
2024	C	`conf`	Assessing the Adaptability of Self-Supervised Learning Methods for Small-Scale Hyperspectral Imaging. IGARSS Andrea Potì, Valerio Marsocci, Alessandro Nicolosi, Simone Scardapane
2024	J	`jnl`	Cascaded Scaling Classifier: class incremental learning with probability scaling. CoRR Jary Pomponi, Alessio Devoto, Simone Scardapane
2024	J	`jnl`	Conditional computation in neural networks: Principles and research trends. Intelligenza Artificiale Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
2024	J	`jnl`	Conditional computation in neural networks: principles and research trends. CoRR Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
2024	J	`jnl`	Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques. CoRR Alessio Verdone, Alessio Devoto, Cristiano Sebastiani, Joseph Carmignani, Monica D'Onofrio, Stefano Giagu, Simone Scardapane, Massimo Panella
2024	A*	`conf`	Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion. NeurIPS Filip Szatkowski, Bartosz Wójcik, Mikolaj Piórczynski, Simone Scardapane
2024	A*	`conf`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2024	—	`conf`	Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. IEEECONF Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane
2024	—	`conf`	Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Renato Boldi, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
2024	J	`jnl`	Goal-oriented Communications based on Recursive Early Exit Neural Networks. CoRR Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane
2024	J	`jnl`	How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not. CoRR Francesco Verdini, Pierfrancesco Melucci, Stefano Perna, Francesco Cariaggi, Marco Gaido, Sara Papi, Szymon Mazurek, Marek Kasztelnik, Luisa Bentivogli, Sébastien Bratières, Paolo Merialdo, Simone Scardapane
2024	J	`jnl`	Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging. CoRR Tommaso Torda, Andrea Ciardiello, Simona Gargiulo, Greta Grillo, Simone Scardapane, Cecilia Voena, Stefano Giagu
2024	J	`jnl`	Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. Cogn. Comput. Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain
2024	J	`jnl`	Interpreting Temporal Graph Neural Networks with Koopman Theory. CoRR Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2024	J	`jnl`	Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cogn. Comput. Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain
2024	J	`jnl`	NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks. CoRR Matteo Gambella, Jary Pomponi, Simone Scardapane, Manuel Roveri
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. 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
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, 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
2024	J	`jnl`	Task Singular Vectors: Reducing Task Interference in Model Merging. CoRR Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà
2024	J	`jnl`	TopoBenchmarkX: A Framework for Benchmarking Topological Deep Learning. CoRR Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Pavlo Vasylenko, Ghada Zamzmi, Mustafa Hajij, Michael T. Schaub, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR 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
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. 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
2024	J	`jnl`	Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial Complexes. CoRR Marco Montagna, Simone Scardapane, Lev Telyatnikov
2023	J	`jnl`	A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Trans. Syst. Man Cybern. Syst. Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2023	J	`jnl`	Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference. CoRR Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
2023	—	`conf`	ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo. ICIAP Workshops (1) Gaetano Saurio, Marco Muscas, Indro Spinelli, Valerio Rughetti, Irma Della Giovampaola, Simone Scardapane
2023	B	`conf`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. ESANN Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	J	`jnl`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. CoRR Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	J	`jnl`	Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Valerio Marsocci, Simone Scardapane
2023	C	`conf`	Continual Self-Supervised Learning in Earth Observation with Embedding Regularization. IGARSS Hamna Moieez, Valerio Marsocci, Simone Scardapane
2023	J	`jnl`	Continual learning with invertible generative models. Neural Networks Jary Pomponi, Simone Scardapane, Aurelio Uncini
2023	J	`jnl`	Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition. Comput. Softw. Big Sci. Leandro Maglianella, Lorenzo Nicoletti, Stefano Giagu, Christian Napoli, Simone Scardapane
2023	—	`conf`	Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves. ICIAP Workshops (1) Alberto Carraro, Gaetano Saurio, Ainara López-Maestresalas, Simone Scardapane, Francesco Marinello
2023	J	`jnl`	Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks. CoRR Indro Spinelli, Riccardo Bianchini, Simone Scardapane
2023	J	`jnl`	Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks. Neural Networks Indro Spinelli, Riccardo Bianchini, Simone Scardapane
2023	A	`conf`	EGG-GAE: scalable graph neural networks for tabular data imputation. AISTATS Lev Telyatnikov, Simone Scardapane
2023	—	`conf`	Explainability in subgraphs-enhanced Graph Neural Networks. NLDL Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2023	—	`conf`	GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CVPR Workshops Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet
2023	J	`jnl`	GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. CoRR Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane, Clément Mallet
2023	J	`jnl`	Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
2023	J	`jnl`	Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design. CoRR Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernárdez, Olga Zaghen, Simone Scardapane, Pietro Lio
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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
2023	J	`jnl`	Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
2023	J	`jnl`	On the robustness of vision transformers for in-flight monocular depth estimation. Ind. Artif. Intell. Simone Ercolino, Alessio Devoto, Luca Monorchio, Matteo Santini, Silvio Mazzaro, Simone Scardapane
2023	J	`jnl`	Probabilistic Load Forecasting With Reservoir Computing. IEEE Access Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	Probabilistic load forecasting with Reservoir Computing. CoRR Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models. IEEE Access Jary Pomponi, Daniele Dántoni, Alessandro Nicolosi, Simone Scardapane
2023	J	`jnl`	Reidentification of Objects From Aerial Photos With Hybrid Siamese Neural Networks. IEEE Trans. Ind. Informatics Alessio Devoto, Indro Spinelli, Francesca Murabito, Fabrizio Chiovoloni, Riccardo Musmeci, Simone Scardapane
2023	—	`conf`	Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach (SHORT PAPER). HC@AIxIA Tommaso Torda, Simona Gargiulo, Greta Grillo, Andrea Ciardiello, Cecilia Voena, Stefano Giagu, Simone Scardapane
2022	J	`jnl`	A Probabilistic Re-Intepretation of Confidence Scores in Multi-Exit Models. Entropy Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Centroids Matching: an efficient Continual Learning approach operating in the embedding space. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Centroids Matching: an efficient Continual Learning approach operating in the embedding space. Trans. Mach. Learn. Res. Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation. CoRR Valerio Marsocci, Simone Scardapane
2022	J	`jnl`	Continual Learning with Invertible Generative Models. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	EGG-GAE: scalable graph neural networks for tabular data imputation. CoRR Lev Telyatnikov, Simone Scardapane
2022	—	`conf`	Engagement Detection with Multi-Task Training in E-Learning Environments. ICIAP (3) Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack
2022	J	`jnl`	Engagement Detection with Multi-Task Training in E-Learning Environments. CoRR Onur Çopur, Mert Nakip, Simone Scardapane, Jürgen Slowack
2022	B	`conf`	Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. IJCNN Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane
2022	J	`jnl`	Explainability in subgraphs-enhanced Graph Neural Networks. CoRR Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2022	J	`jnl`	FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. IEEE Trans. Artif. Intell. Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2022	J	`jnl`	Inferring 3D change detection from bitemporal optical images. CoRR Valerio Marsocci, Virginia Coletta, Roberta Ravanelli, Simone Scardapane, Mattia Crespi
2022	J	`jnl`	Learning Speech Emotion Representations in the Quaternion Domain. CoRR Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
2022	B	`conf`	Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. IJCNN Alessio Verdone, Simone Scardapane, Massimo Panella
2022	B	`conf`	Pixle: a fast and effective black-box attack based on rearranging pixels. IJCNN Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Pixle: a fast and effective black-box attack based on rearranging pixels. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2022	J	`jnl`	Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. Inf. Process. Manag. Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane
2022	A	`conf`	Towards Self-Supervised Gaze Estimation. BMVC Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera
2022	J	`jnl`	Towards Self-Supervised Gaze Estimation. CoRR Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera
2021	J	`jnl`	A Calibrated Multiexit Neural Network for Detecting Urothelial Cancer Cells. Comput. Math. Methods Medicine Livia Lilli, Enrico Giarnieri, Simone Scardapane
2021	J	`jnl`	A Meta-Learning Approach for Training Explainable Graph Neural Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. CoRR Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini
2021	J	`jnl`	Adaptive Propagation Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. Indro Spinelli, Simone Scardapane, Aurelio Uncini
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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
2021	J	`jnl`	Bayesian Neural Networks with Maximum Mean Discrepancy regularization. Neurocomputing Jary Pomponi, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning. CoRR Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini
2021	J	`jnl`	Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2021	J	`jnl`	MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote. Sens. Valerio Marsocci, Simone Scardapane, Nikos Komodakis
2021	J	`jnl`	Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2021	J	`jnl`	Structured Ensembles: An approach to reduce the memory footprint of ensemble methods. Neural Networks Jary Pomponi, Simone Scardapane, Aurelio Uncini
2021	J	`jnl`	Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	—	`ch.`	A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals. Neural Advances in Processing Nonlinear Dynamic Signals Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2020	—	`conf`	A Wide Multimodal Dense U-Net for Fast Magnetic Resonance Imaging. EUSIPCO Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2020	J	`jnl`	A non-parametric softmax for improving neural attention in time-series forecasting. Neurocomputing Simone Totaro, Amir Hussain, Simone Scardapane
2020	J	`jnl`	Adaptive Propagation Graph Convolutional Network. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Bayesian Neural Networks With Maximum Mean Discrepancy Regularization. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	J	`jnl`	Complex-Valued Neural Networks With Nonparametric Activation Functions. IEEE Trans. Emerg. Top. Comput. Intell. Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
2020	J	`jnl`	Compressing deep-quaternion neural networks with targeted regularisation. CAAI Trans. Intell. Technol. Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2020	J	`jnl`	Deep Randomized Neural Networks. CoRR Claudio Gallicchio, Simone Scardapane
2020	Misc	`conf`	Differentiable Branching In Deep Networks for Fast Inference. ICASSP Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020	J	`jnl`	Distributed Graph Convolutional Networks. CoRR Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2020	J	`jnl`	Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. CoRR Paolo Di Lorenzo, Simone Scardapane
2020	J	`jnl`	Efficient continual learning in neural networks with embedding regularization. Neurocomputing Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
2020	B	`conf`	Frontiers in Reservoir Computing. ESANN Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane
2020	—	`ch.`	Learning Activation Functions from Data Using Cubic Spline Interpolation. Neural Advances in Processing Nonlinear Dynamic Signals Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2020	J	`jnl`	Missing data imputation with adversarially-trained graph convolutional networks. Neural Networks Indro Spinelli, Simone Scardapane, Aurelio Uncini
2020	—	`ch.`	Music Genre Classification Using Stacked Auto-Encoders. Neural Approaches to Dynamics of Signal Exchanges Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2020	J	`jnl`	Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications. Inf. Sci. Enzo Baccarelli, Simone Scardapane, Michele Scarpiniti, Alireza Momenzadeh, Aurelio Uncini
2020	J	`jnl`	Pseudo-Rehearsal for Continual Learning with Normalizing Flows. CoRR Jary Pomponi, Simone Scardapane, Aurelio Uncini
2020	—	`conf`	Quaternion Neural Networks for 3D Sound Source Localization in Reverberant Environments. MLSP Michela Ricciardi Celsi, Simone Scardapane, Danilo Comminiello
2020	—	`ch.`	Separation of Drum and Bass from Monaural Tracks. Neural Advances in Processing Nonlinear Dynamic Signals Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2020	J	`jnl`	Why Should We Add Early Exits to Neural Networks? Cogn. Comput. Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2020	J	`jnl`	Why should we add early exits to neural networks? CoRR Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini
2019	J	`jnl`	A Multimodal Deep Network for the Reconstruction of T2W MR Images. CoRR Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini
2019	—	`conf`	A Multimodal Dense U-Net For Accelerating Multiple Sclerosis MRI. MLSP Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019	J	`jnl`	Compressing deep quaternion neural networks with targeted regularization. CoRR Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2019	—	`conf`	Deep Randomized Neural Networks. INNSBDDL (Tutorials) Claudio Gallicchio, Simone Scardapane
2019	Misc	`conf`	Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. ACSSC Paolo Di Lorenzo, Simone Scardapane
2019	J	`jnl`	Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini
2019	J	`jnl`	Efficient data augmentation using graph imputation neural networks. CoRR Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2019	J	`jnl`	Kafnets: Kernel-based non-parametric activation functions for neural networks. Neural Networks Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini
2019	J	`jnl`	Missing Data Imputation with Adversarially-trained Graph Convolutional Networks. CoRR Indro Spinelli, Simone Scardapane, Aurelio Uncini
2019	—	`conf`	Multikernel Activation Functions: Formulation and a Case Study. INNSBDDL Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo
2019	J	`jnl`	Multikernel activation functions: formulation and a case study. CoRR Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo
2019	J	`jnl`	On the Stability and Generalization of Learning with Kernel Activation Functions. CoRR Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
2019	Misc	`conf`	Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. ICASSP Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
2019	J	`jnl`	Widely Linear Kernels for Complex-Valued Kernel Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2019	Misc	`conf`	Widely Linear Kernels for Complex-valued Kernel Activation Functions. ICASSP Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	J	`jnl`	Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. Simone Scardapane, Dianhui Wang, Aurelio Uncini
2018	B	`conf`	Bidirectional deep-readout echo state networks. ESANN Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	—	`conf`	Combined Sparse Regularization for Nonlinear Adaptive Filters. EUSIPCO Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Luis Antonio Azpicueta-Ruiz, Aurelio Uncini
2018	J	`jnl`	Complex-valued Neural Networks with Non-parametric Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini
2018	—	`ch.`	Effective Blind Source Separation Based on the Adam Algorithm. Multidisciplinary Approaches to Neural Computing Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2018	—	`conf`	Improving Graph Convolutional Networks with Non-Parametric Activation Functions. EUSIPCO Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	J	`jnl`	Improving Graph Convolutional Networks with Non-Parametric Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini
2018	—	`ch.`	Privacy-Preserving Data Mining for Distributed Medical Scenarios. Multidisciplinary Approaches to Neural Computing Simone Scardapane, Rosa Altilio, Valentina Ciccarelli, Aurelio Uncini, Massimo Panella
2018	J	`jnl`	Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events. CoRR Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini
2018	J	`jnl`	Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. CoRR Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
2018	—	`conf`	Recurrent Neural Networks with flexible Gates using Kernel activation Functions. MLSP Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini
2018	J	`jnl`	Reservoir computing approaches for representation and classification of multivariate time series. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	C	`conf`	Sparse functional link adaptive filter using an ℓ ISCAS Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Aurelio Uncini
2018	J	`jnl`	Stochastic Training of Neural Networks via Successive Convex Approximations. IEEE Trans. Neural Networks Learn. Syst. Simone Scardapane, Paolo Di Lorenzo
2017	—	`conf`	A Multimodal Deep Network for the Reconstruction of T2W MR Images. IIH-MSP (1) Antonio Falvo, Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017	J	`jnl`	A framework for parallel and distributed training of neural networks. Neural Networks Simone Scardapane, Paolo Di Lorenzo
2017	J	`jnl`	Adaptation and learning over networks for nonlinear system modeling. CoRR Simone Scardapane, Jie Chen, Cédric Richard
2017	J	`jnl`	Advances in Biologically Inspired Reservoir Computing. Cogn. Comput. Simone Scardapane, John B. Butcher, Filippo Maria Bianchi, Zeeshan Khawar Malik
2017	J	`jnl`	Bidirectional deep echo state networks. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2017	—	`conf`	Efficient Data Augmentation Using Graph Imputation Neural Networks. IIH-MSP (1) Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2017	—	`conf`	Flexible Generative Adversarial Networks with Non-parametric Activation Functions. IIH-MSP (1) Eleonora Grassucci, Simone Scardapane, Danilo Comminiello, Aurelio Uncini
2017	J	`jnl`	Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion. IEEE Trans. Neural Networks Learn. Syst. Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella
2017	J	`jnl`	Group sparse regularization for deep neural networks. Neurocomputing Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2017	—	`conf`	In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks. AICH@AIIA Donatella Firmani, Paolo Merialdo, Elena Nieddu, Simone Scardapane
2017	J	`jnl`	Kafnets: kernel-based non-parametric activation functions for neural networks. CoRR Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini
2017	B	`conf`	On the use of deep recurrent neural networks for detecting audio spoofing attacks. IJCNN Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini
2017	J	`jnl`	Randomness in neural networks: an overview. WIREs Data Mining Knowl. Discov. Simone Scardapane, Dianhui Wang
2017	J	`jnl`	Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure. CoRR Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamaría
2017	—	`conf`	Recursive multikernel filters exploiting nonlinear temporal structure. EUSIPCO Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamaría
2017	J	`jnl`	Semi-supervised Echo State Networks for Audio Classification. Cogn. Comput. Simone Scardapane, Aurelio Uncini
2017	J	`jnl`	Stochastic Training of Neural Networks via Successive Convex Approximations. CoRR Simone Scardapane, Paolo Di Lorenzo
2016	—	`ch.`	A Comparison of Consensus Strategies for Distributed Learning of Random Vector Functional-Link Networks. Advances in Neural Networks Roberto Fierimonte, Simone Scardapane, Massimo Panella, Aurelio Uncini
2016	J	`jnl`	A Framework for Parallel and Distributed Training of Neural Networks. CoRR Simone Scardapane, Paolo Di Lorenzo
2016	—	`ch.`	A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities. Recent Advances in Nonlinear Speech Processing Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2016	J	`jnl`	A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks Simone Scardapane, Dianhui Wang, Massimo Panella
2016	J	`jnl`	A semi-supervised random vector functional-link network based on the transductive framework. Inf. Sci. Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2016	—	`ch.`	Benchmarking Functional Link Expansions for Audio Classification Tasks. Advances in Neural Networks Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2016	—	`conf`	Diffusion spline adaptive filtering. EUSIPCO Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016	J	`jnl`	Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Comput. Intell. Mag. Simone Scardapane, Massimo Panella, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2016	J	`jnl`	Distributed Supervised Learning using Neural Networks. CoRR Simone Scardapane
2016	J	`jnl`	Distributed semi-supervised support vector machines. Neural Networks Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini
2016	B	`conf`	Distributed spectral clustering based on Euclidean distance matrix completion. IJCNN Simone Scardapane, Rosa Altilio, Massimo Panella, Aurelio Uncini
2016	J	`jnl`	Effective Blind Source Separation Based on the Adam Algorithm. CoRR Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2016	J	`jnl`	Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian
2016	J	`jnl`	Group Sparse Regularization for Deep Neural Networks. CoRR Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini
2016	J	`jnl`	Learning activation functions from data using cubic spline interpolation. CoRR Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini
2016	—	`conf`	Parallel and distributed training of neural networks via successive convex approximation. MLSP Paolo Di Lorenzo, Simone Scardapane
2015	J	`jnl`	Distributed learning for Random Vector Functional-Link networks. Inf. Sci. Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	B	`conf`	Distributed music classification using Random Vector Functional-Link nets. IJCNN Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini
2015	B	`conf`	Functional link expansions for nonlinear modeling of audio and speech signals. IJCNN Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015	J	`jnl`	Improving nonlinear modeling capabilities of functional link adaptive filters. Neural Networks Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2015	—	`conf`	Learning from Distributed Data Sources Using Random Vector Functional-Link Networks. INNS Conference on Big Data Simone Scardapane, Massimo Panella, Danilo Comminiello, Aurelio Uncini
2015	—	`ch.`	Online Selection of Functional Links for Nonlinear System Identification. Advances in Neural Networks Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2015	J	`jnl`	Online Sequential Extreme Learning Machine With Kernels. IEEE Trans. Neural Networks Learn. Syst. Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2015	J	`jnl`	Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian
2015	—	`ch.`	Significance-Based Pruning for Reservoir's Neurons in Echo State Networks. Advances in Neural Networks Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014	B	`conf`	An effective criterion for pruning reservoir's connections in Echo State Networks. IJCNN Simone Scardapane, Gabriele Nocco, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2014	B	`conf`	An interpretable graph-based image classifier. IJCNN Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi
2014	B	`conf`	GP-based kernel evolution for L2-Regularization Networks. IEEE Congress on Evolutionary Computation Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013	—	`conf`	A Preliminary Study on Transductive Extreme Learning Machines. WIRN Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013	C	`conf`	Convex combination of MIMO filters for multichannel acoustic echo cancellation. ISPA Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini
2013	—	`conf`	Interactive quality enhancement in acoustic echo cancellation. TSP Danilo Comminiello, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini
2013	C	`conf`	Music classification using extreme learning machines. ISPA Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini
2013	—	`conf`	Proportionate Algorithms for Blind Source Separation. WIRN Michele Scarpiniti, Danilo Comminiello, Simone Scardapane, Raffaele Parisi, Aurelio Uncini
2012	—	`conf`	PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study. WIRN Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini