Claudio Gallicchio

182 papers A* 7A 4B 42C 5Misc 1Journal 72Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Embedded deep reservoir computing for modelling complex industrial systems. Integr. Comput. Aided Eng. José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2026	J	`jnl`	Hardware friendly deep reservoir computing. Neural Networks Claudio Gallicchio, Miguel C. Soriano
2026	J	`jnl`	Informed machine learning for complex data. Neurocomputing Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2026	J	`jnl`	ParalESN: Enabling parallel information processing in Reservoir Computing. CoRR Matteo Pinna, Giacomo Lagomarsini, Andrea Ceni, Claudio Gallicchio
2026	J	`jnl`	Sparse assemblies of recurrent neural networks with stability guarantees. Neurocomputing Andrea Ceni, Valerio De Caro, Davide Bacciu, Claudio Gallicchio
2025	—	`conf`	Benchmarking Nonlinear Readouts in Linear Reservoir Networks. ICANN (5) Giacomo Lagomarsini, Andrea Ceni, Claudio Gallicchio
2025	J	`jnl`	Deep Residual Echo State Networks: exploring residual orthogonal connections in untrained Recurrent Neural Networks. CoRR Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2025	C	`conf`	Direct Feedback Alignment for Recurrent Neural Networks. ISC Sara Folchini, Andrea Cossu, Andrea Ceni, Vincenzo Lomonaco, Davide Bacciu, Claudio Gallicchio
2025	—	`conf`	ESN with Delayed Inputs to Model Industrial Processes. EANN (1) José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Claudio Gallicchio, Lidia Roca, Manuel Domínguez
2025	J	`jnl`	Edge of Stability Echo State Network. IEEE Trans. Neural Networks Learn. Syst. Andrea Ceni, Claudio Gallicchio
2025	A	`conf`	Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. ECAI Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito
2025	J	`jnl`	GRAMA: Adaptive Graph Autoregressive Moving Average Models. CoRR Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	A*	`conf`	Graph Adaptive Autoregressive Moving Average Models. ICML Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	J	`jnl`	Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling. CoRR Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof
2025	J	`jnl`	Mixture of Raytraced Experts. CoRR Andrea Perin, Giacomo Lagomarsini, Claudio Gallicchio, Giuseppe Nuti
2025	A*	`conf`	On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. AAAI Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025	J	`jnl`	On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning. CoRR Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst
2025	A*	`conf`	Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks. ICLR Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2025	J	`jnl`	Ray-Tracing for Conditionally Activated Neural Networks. CoRR Claudio Gallicchio, Giuseppe Nuti
2025	B	`conf`	Residual Reservoir Memory Networks. IJCNN Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2025	J	`jnl`	Residual Reservoir Memory Networks. CoRR Matteo Pinna, Andrea Ceni, Claudio Gallicchio
2024	—	`conf`	Awareness in Robotics: An Early Perspective from the Viewpoint of the EIC Pathfinder Challenge "Awareness Inside". ERF (1) Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
2024	J	`jnl`	Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside". CoRR Cosimo Della Santina, Carlos Hernández Corbato, Burak Sisman, Luis A. Leiva, Ioannis Arapakis, Michalis Vakalellis, Jean Vanderdonckt, Luis Fernando D'Haro, Guido Manzi, Cristina Becchio, Aïda Elamrani, Mohsen Alirezaei, Ginevra Castellano, Dimos V. Dimarogonas, Arabinda Ghosh, Sofie Haesaert, Sadegh Soudjani, Sybert Stroeve, Paul F. M. J. Verschure, Davide Bacciu, Ophelia Deroy, Bahador Bahrami, Claudio Gallicchio, Sabine Hauert, Ricardo Sanz, Pablo Lanillos, Giovanni Iacca, Stephan Sigg, Manel Gasulla, Luc Steels, Carles Sierra
2024	—	`conf`	Continuously Deep Recurrent Neural Networks. ECML/PKDD (7) Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella
2024	B	`conf`	Decentralized Incremental Federated Learning with Echo State Networks. IJCNN Geremia Pompei, Patrizio Dazzi, Valerio De Caro, Claudio Gallicchio
2024	C	`conf`	Deep Echo State Networks for Modelling of Industrial Systems. EANN José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez
2024	—	`conf`	EMERGE - Emergent Awareness from Minimal Collectives. ERF (1) Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, Andrea Ceni, Andrea Cossu, Valerio De Caro, Cosimo Della Santina, Ophelia Deroy, Claudio Gallicchio, Riccardo Guidotti, Sabine Hauert, Simon Jones, Jurgis Karpus, Suet Lee, Jingyue Liu, Vincenzo Lomonaco, Nadine Meertens, Emma Milner, Anna Monreale, Renan Picoreti Nakahara, Mariano Ramírez Montero, Ebrahim Shahabi, Maximilian Stölzle
2024	B	`conf`	Enhancing Echo State Networks with Gradient-based Explainability Methods. ESANN Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024	J	`jnl`	Euler State Networks: Non-dissipative Reservoir Computing. Neurocomputing Claudio Gallicchio
2024	B	`conf`	Informed Machine Learning for Complex Data. ESANN Luca Oneto, Nicolò Navarin, Alessio Micheli, Luca Pasa, Claudio Gallicchio, Davide Bacciu, Davide Anguita
2024	J	`jnl`	Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2024	J	`jnl`	Investigating over-parameterized randomized graph networks. Neurocomputing Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
2024	A*	`conf`	Long Range Propagation on Continuous-Time Dynamic Graphs. ICML Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024	J	`jnl`	Long Range Propagation on Continuous-Time Dynamic Graphs. CoRR Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024	—	`conf`	Non-dissipative Reservoir Computing Approaches for Time-Series Classification. ICANN (10) Claudio Gallicchio, Andrea Ceni
2024	A	`conf`	Random Oscillators Network for Time Series Processing. AISTATS Andrea Ceni, Andrea Cossu, Maximilian W. Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio
2024	B	`conf`	Reservoir Computing neural networks for estimating mechanical properties of hot steel strips. IJCNN Francesca Motta, Claudio Gallicchio
2024	B	`conf`	Reservoir Memory Networks. ESANN Claudio Gallicchio, Andrea Ceni
2024	J	`jnl`	Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning. Neurocomputing Andrea Ceni, Claudio Gallicchio
2024	—	`conf`	Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks. AIMLSystems Andrea Cossu, Andrea Ceni, Davide Bacciu, Claudio Gallicchio
2024	A	`conf`	TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. HPDC Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu
2024	J	`jnl`	Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2023	—	`conf`	AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu
2023	—	`conf`	An Untrained Neural Model for Fast and Accurate Graph Classification. ICANN (4) Nicolò Navarin, Luca Pasa, Claudio Gallicchio, Alessandro Sperduti
2023	A*	`conf`	Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. ICLR Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2023	J	`jnl`	Architectural richness in deep reservoir computing. Neural Comput. Appl. Claudio Gallicchio, Alessio Micheli
2023	B	`conf`	Communication-Efficient Ridge Regression in Federated Echo State Networks. ESANN Valerio De Caro, Antonio Di Mauro, Davide Bacciu, Claudio Gallicchio
2023	J	`jnl`	Continual adaptation of federated reservoirs in pervasive environments. Neurocomputing Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2023	—	`conf`	Diversifying Non-dissipative Reservoir Computing Dynamics. ICANN (8) Claudio Gallicchio
2023	J	`jnl`	Echo state graph neural networks with analogue random resistive memory arrays. Nat. Mac. Intell. Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu
2023	J	`jnl`	Edge of stability echo state networks. CoRR Andrea Ceni, Claudio Gallicchio
2023	J	`jnl`	Guest Editorial: Trends in Reservoir Computing. Cogn. Comput. Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano
2023	B	`conf`	Improving Fairness via Intrinsic Plasticity in Echo State Networks. ESANN Andrea Ceni, Davide Bacciu, Valerio De Caro, Claudio Gallicchio, Luca Oneto
2023	—	`conf`	Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks. PKDD/ECML Workshops (5) Alessio Gravina, Claudio Gallicchio, Davide Bacciu
2023	—	`conf`	Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu
2023	B	`conf`	Residual Reservoir Computing Neural Networks for Time-series Classification. ESANN Claudio Gallicchio, Andrea Ceni
2023	—	`conf`	Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
2023	—	`conf`	TEACHING: A Computing Toolkit for Building Efficient Autonomous appliCations Leveraging Humanistic INtelliGence. FRAME@HPDC Davide Bacciu, Konstantinos Tserpes, Massimo Coppola, Georg Macher, Claudio Gallicchio, Omar Veledar, Anna Maria Anaxagorou, Patrizio Dazzi
2022	—	`conf`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2022	B	`conf`	Continual Learning for Human State Monitoring. ESANN Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Continual Learning for Human State Monitoring. CoRR Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
2022	C	`conf`	Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022	J	`jnl`	Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato
2022	—	`conf`	Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. CI4PM/PAI@WCCI Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio
2022	J	`jnl`	Euler State Networks. CoRR Claudio Gallicchio
2022	B	`conf`	Federated Adaptation of Reservoirs via Intrinsic Plasticity. ESANN Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	Federated Adaptation of Reservoirs via Intrinsic Plasticity. CoRR Valerio De Caro, Claudio Gallicchio, Davide Bacciu
2022	J	`jnl`	Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose
2022	—	`conf`	Hierarchical Dynamics in Deep Echo State Networks. ICANN (3) Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Input Routed Echo State Networks. ESANN Luca Argentieri, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Minimal Euler State Networks. IJCNN Claudio Gallicchio
2022	J	`jnl`	On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Comput. Sci. Inf. Syst. Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Orthogonality in Additive Echo State Networks. ESANN Andrea Ceni, Claudio Gallicchio
2022	J	`jnl`	Pyramidal Reservoir Graph Neural Network. Neurocomputing Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2022	B	`conf`	Spectral Bounds for Graph Echo State Network Stability. IJCNN Domenico Tortorella, Claudio Gallicchio, Alessio Micheli
2021	—	`conf`	A preliminary evaluation of Echo State Networks for Brugada syndrome classification. SSCI Giovanna Maria Dimitri, Claudio Gallicchio, Alessio Micheli, Maria-Aurora Morales, Emanuele Ungaro, Federico Vozzi
2021	—	`conf`	Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. IWANN (2) Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli
2021	B	`conf`	Continual Learning with Echo State Networks. ESANN Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	J	`jnl`	Continual Learning with Echo State Networks. CoRR Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	—	`ch.`	Deep Reservoir Computing. Reservoir Computing Claudio Gallicchio, Alessio Micheli
2021	J	`jnl`	Echo state graph neural networks with analogue random resistor arrays. CoRR Shaocong Wang, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang, Dashan Shang, Ming Liu
2021	B	`conf`	Federated Reservoir Computing Neural Networks. IJCNN Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	B	`conf`	Phase Transition Adaptation. IJCNN Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2021	J	`jnl`	Phase Transition Adaptation. CoRR Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2021	J	`jnl`	Pyramidal Reservoir Graph Neural Network. CoRR Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2021	B	`conf`	Reservoir Computing by Discretizing ODEs. ESANN Claudio Gallicchio
2021	—	`conf`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2021	J	`jnl`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2020	—	`conf`	A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. ICCSA (2) Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli
2020	J	`jnl`	Deep Randomized Neural Networks. CoRR Claudio Gallicchio, Simone Scardapane
2020	J	`jnl`	EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. ACM Trans. Archit. Code Optim. Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
2020	A	`conf`	Efficient Embedded Machine Learning applications using Echo State Networks. DATE Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli
2020	J	`jnl`	Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli
2020	A*	`conf`	Fast and Deep Graph Neural Networks. AAAI Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Frontiers in Reservoir Computing. ESANN Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane
2020	C	`conf`	Gated Echo State Networks: a preliminary study. INISTA Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2020	—	`ch.`	Hierarchical Temporal Representation in Linear Reservoir Computing. Neural Advances in Processing Nonlinear Dynamic Signals Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2020	B	`conf`	Pyramidal Graph Echo State Networks. ESANN Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Ring Reservoir Neural Networks for Graphs. IJCNN Claudio Gallicchio, Alessio Micheli
2020	J	`jnl`	Ring Reservoir Neural Networks for Graphs. CoRR Claudio Gallicchio, Alessio Micheli
2020	B	`conf`	Simplifying Deep Reservoir Architectures. ESANN Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra
2020	C	`conf`	Sparsity in Reservoir Computing Neural Networks. INISTA Claudio Gallicchio
2020	J	`jnl`	Sparsity in Reservoir Computing Neural Networks. CoRR Claudio Gallicchio
2020	J	`jnl`	Text classification by untrained sentence embeddings. Intelligenza Artificiale Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2020	—	`conf`	Time Series Clustering with Deep Reservoir Computing. ICANN (2) Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli
2019	J	`jnl`	An ambient intelligence approach for learning in smart robotic environments. Comput. Intell. Davide Bacciu, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Alessio Micheli, Alessandro Saffiotti
2019	B	`conf`	Chasing the Echo State Property. ESANN Claudio Gallicchio
2019	B	`conf`	Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. ESANN Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2019	—	`conf`	Continuous Blood Pressure Estimation Through Optimized Echo State Networks. ICANN (Workshop) Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio
2019	—	`conf`	Deep Randomized Neural Networks. INNSBDDL (Tutorials) Claudio Gallicchio, Simone Scardapane
2019	J	`jnl`	Deep Reservoir Neural Networks for Trees. Inf. Sci. Claudio Gallicchio, Alessio Micheli
2019	B	`conf`	Embeddings and Representation Learning for Structured Data. ESANN Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	J	`jnl`	Embeddings and Representation Learning for Structured Data. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti
2019	—	`conf`	Fast Spectral Radius Initialization for Recurrent Neural Networks. INNSBDDL Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2019	J	`jnl`	Fast and Deep Graph Neural Networks. CoRR Claudio Gallicchio, Alessio Micheli
2019	—	`conf`	Question Classification with Untrained Recurrent Embeddings. AI*IA Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2019	—	`conf`	Reservoir Topology in Deep Echo State Networks. ICANN (Workshop) Claudio Gallicchio, Alessio Micheli
2019	J	`jnl`	Reservoir Topology in Deep Echo State Networks. CoRR Claudio Gallicchio, Alessio Micheli
2019	—	`conf`	Richness of Deep Echo State Network Dynamics. IWANN (1) Claudio Gallicchio, Alessio Micheli
2019	J	`jnl`	Richness of Deep Echo State Network Dynamics. CoRR Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Chasing the Echo State Property. CoRR Claudio Gallicchio
2018	—	`conf`	Combining Memory and Non-linearity in Echo State Networks. ICANN (2) Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	B	`conf`	Deep Echo State Networks for Diagnosis of Parkinson's Disease. ESANN Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	J	`jnl`	Deep Echo State Networks for Diagnosis of Parkinson's Disease. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	B	`conf`	Deep Tree Echo State Networks. IJCNN Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Design of deep echo state networks. Neural Networks Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2018	—	`conf`	ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. EVALITA@CLiC-it Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
2018	J	`jnl`	Local Lyapunov exponents of deep echo state networks. Neurocomputing Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2018	B	`conf`	Randomized Recurrent Neural Networks. ESANN Claudio Gallicchio, Alessio Micheli, Peter Tiño
2018	B	`conf`	Short-term Memory of Deep RNN. ESANN Claudio Gallicchio
2018	J	`jnl`	Short-term Memory of Deep RNN. CoRR Claudio Gallicchio
2018	A*	`conf`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	J	`jnl`	Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer
2018	B	`conf`	Why Layering in Recurrent Neural Networks? A DeepESN Survey. IJCNN Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	A learning system for automatic Berg Balance Scale score estimation. Eng. Appl. Artif. Intell. Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Erina Ferro, Luigi Fortunati, Davide La Rosa, Filippo Palumbo, Federico Vozzi, Oberdan Parodi
2017	J	`jnl`	Deep Echo State Network (DeepESN): A Brief Survey. CoRR Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	Deep reservoir computing: A critical experimental analysis. Neurocomputing Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2017	J	`jnl`	Echo State Property of Deep Reservoir Computing Networks. Cogn. Comput. Claudio Gallicchio, Alessio Micheli
2017	—	`conf`	Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living. AIAAL@AIIA Claudio Gallicchio, Alessio Micheli
2017	J	`jnl`	Hierarchical Temporal Representation in Linear Reservoir Computing. CoRR Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
2017	B	`conf`	Local Lyapunov Exponents of Deep RNN. ESANN Claudio Gallicchio, Alessio Micheli, Luca Silvestri
2017	—	`conf`	On the need of machine learning as a service for the internet of things. IML Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli
2017	B	`conf`	Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas
2017	J	`jnl`	Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study. J. Reliab. Intell. Environ. Filippo Palumbo, Davide La Rosa, Erina Ferro, Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Stefano Chessa, Federico Vozzi, Oberdan Parodi
2016	—	`conf`	A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. ISAmI Giuseppe Amato, Davide Bacciu, Stefano Chessa, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Rentería, Claudio Vairo
2016	—	`conf`	A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data. AIAAL@AIIA Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	A reservoir activation kernel for trees. ESANN Davide Bacciu, Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	Deep Reservoir Computing: A Critical Analysis. ESANN Claudio Gallicchio, Alessio Micheli
2016	B	`conf`	Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project. Intelligent Environments Davide Bacciu, Stefano Chessa, Erina Ferro, Luigi Fortunati, Claudio Gallicchio, Davide La Rosa, Miguel Llorente, Alessio Micheli, Filippo Palumbo, Oberdan Parodi, Andrea Valenti, Federico Vozzi
2016	J	`jnl`	Human activity recognition using multisensor data fusion based on Reservoir Computing. J. Ambient Intell. Smart Environ. Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli
2016	B	`conf`	RSS-based Robot Localization in Critical Environments using Reservoir Computing. ESANN Mauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli
2015	—	`conf`	A Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML (Revised Selected Papers) Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi
2015	J	`jnl`	A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. Mauro Dragone, Giuseppe Amato, Davide Bacciu, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, Liam P. Maguire, T. Martin McGinnity, Alessio Micheli, Gregory M. P. O'Hare, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo, Philip J. Vance
2015	J	`jnl`	Prediction of the Italian electricity price for smart grid applications. Neurocomputing Emanuele Crisostomi, Claudio Gallicchio, Alessio Micheli, Marco Raugi, Mauro Tucci
2015	—	`conf`	Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi
2015	J	`jnl`	Robotic Ubiquitous Cognitive Ecology for Smart Homes. J. Intell. Robotic Syst. Giuseppe Amato, Davide Bacciu, Mathias Broxvall, Stefano Chessa, Sonya A. Coleman, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Héctor Lozano Peiteado, T. Martin McGinnity, Alessio Micheli, Anjan Kumar Ray, Arantxa Rentería, Alessandro Saffiotti, David Swords, Claudio Vairo, Philip J. Vance
2015	Misc	`conf`	Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. EPIA Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner
2015	—	`conf`	Structured parallel implementation of Tree Echo State Network model selection. PARCO Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio
2014	J	`jnl`	An experimental characterization of reservoir computing in ambient assisted living applications. Neural Comput. Appl. Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli
2014	—	`conf`	Learning context-aware mobile robot navigation in home environments. IISA Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Maurizio Di Rocco, Alessandro Saffiotti
2013	—	`conf`	Distributed Neural Computation over WSN in Ambient Intelligence. ISAmI Davide Bacciu, Claudio Gallicchio, Alessandro Lenzi, Stefano Chessa, Alessio Micheli, Susanna Pelagatti, Claudio Vairo
2013	J	`jnl`	Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS Int. J. Geo Inf. Paolo Barsocchi, Stefano Chessa, Alessio Micheli, Claudio Gallicchio
2013	—	`conf`	Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. EvAAL Filippo Palumbo, Paolo Barsocchi, Claudio Gallicchio, Stefano Chessa, Alessio Micheli
2013	—	`conf`	Robot Localization by Echo State Networks Using RSS. WIRN Stefano Chessa, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli
2013	J	`jnl`	Tree Echo State Networks. Neurocomputing Claudio Gallicchio, Alessio Micheli
2012	—	`conf`	A General Purpose Distributed Learning Model for Robotic Ecologies. SyRoCo Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessandro Lenzi, Alessio Micheli, Susanna Pelagatti
2012	—	`conf`	An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living. WIRN Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi
2012	B	`conf`	Constructive Reservoir Computation with Output Feedbacks for Structured Domains. ESANN Claudio Gallicchio, Alessio Micheli, Giulio Visco
2012	—	`conf`	Self-sustaining Learning for Robotic Ecologies. SENSORNETS Davide Bacciu, Mathias Broxvall, Sonya A. Coleman, Mauro Dragone, Claudio Gallicchio, Claudio Gennaro, Roberto Guzmán, Rafa López, Héctor Lozano Peiteado, A. K. Ray, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo
2011	J	`jnl`	Architectural and Markovian factors of echo state networks. Neural Networks Claudio Gallicchio, Alessio Micheli
2011	B	`conf`	Exploiting vertices states in GraphESN by weighted nearest neighbor. ESANN Claudio Gallicchio, Alessio Micheli
2011	—	`—`	Reservoir Computing for Learning in Structured Domains. Claudio Gallicchio
2011	—	`conf`	Supervised State Mapping of Clustered GraphESN States. WIRN Claudio Gallicchio, Alessio Micheli
2011	—	`conf`	User Movements Forecasting by Reservoir Computing Using Signal Streams Produced by Mote-Class Sensors. MOBILIGHT Claudio Gallicchio, Alessio Micheli, Paolo Barsocchi, Stefano Chessa
2010	B	`conf`	A Markovian characterization of redundancy in echo state networks by PCA. ESANN Claudio Gallicchio, Alessio Micheli
2010	B	`conf`	Graph Echo State Networks. IJCNN Claudio Gallicchio, Alessio Micheli
2010	B	`conf`	TreeESN: a Preliminary Experimental Analysis. ESANN Claudio Gallicchio, Alessio Micheli