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2020 – today
- 2022
[j22]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies. Comput. Sci. Inf. Syst. 19(1): 379-396 (2022)- [j21]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. Neurocomputing 470: 389-404 (2022) - [j20]Gouhei Tanaka
, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose:
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2571-2574 (2022) - [c67]Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Deep Features for CBIR with Scarce Data using Hebbian Learning. CBMI 2022: 136-141 - [c66]Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Hierarchical Dynamics in Deep Echo State Networks. ICANN (3) 2022: 668-679 - [c65]Claudio Gallicchio:
Minimal Euler State Networks. IJCNN 2022: 1-7 - [c64]Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Spectral Bounds for Graph Echo State Network Stability. IJCNN 2022: 1-8 - [c63]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:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops 2022: 91-93 - [i25]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:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR abs/2202.01645 (2022) - [i24]Claudio Gallicchio:
Euler State Networks. CoRR abs/2203.09382 (2022) - [i23]Gabriele Lagani, Davide Bacciu, Claudio Gallicchio, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato:
Deep Features for CBIR with Scarce Data using Hebbian Learning. CoRR abs/2205.08935 (2022) - [i22]Valerio De Caro, Claudio Gallicchio, Davide Bacciu:
Federated Adaptation of Reservoirs via Intrinsic Plasticity. CoRR abs/2206.11087 (2022) - [i21]Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. CoRR abs/2207.00010 (2022) - [i20]Alessio Gravina, Davide Bacciu, Claudio Gallicchio:
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR abs/2210.09789 (2022) - 2021
- [c62]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:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c61]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. ESANN 2021 - [c60]Claudio Gallicchio:
Reservoir Computing by Discretizing ODEs. ESANN 2021 - [c59]Davide Bacciu, Daniele Di Sarli, Pouria Faraji, Claudio Gallicchio, Alessio Micheli:
Federated Reservoir Computing Neural Networks. IJCNN 2021: 1-7 - [c58]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Phase Transition Adaptation. IJCNN 2021: 1-8 - [c57]Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli:
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. IWANN (2) 2021: 168-179 - [c56]Giovanna Maria Dimitri, Claudio Gallicchio, Alessio Micheli, Maria-Aurora Morales, Emanuele Ungaro, Federico Vozzi:
A preliminary evaluation of Echo State Networks for Brugada syndrome classification. SSCI 2021: 1-8 - [p2]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Computing. Reservoir Computing 2021: 77-95 - [e2]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i19]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. CoRR abs/2104.04710 (2021) - [i18]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Phase Transition Adaptation. CoRR abs/2104.10132 (2021) - [i17]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. CoRR abs/2105.07674 (2021) - [i16]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:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021) - [i15]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:
Echo state graph neural networks with analogue random resistor arrays. CoRR abs/2112.15270 (2021) - 2020
- [j19]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Text classification by untrained sentence embeddings. Intelligenza Artificiale 14(2): 245-259 (2020) - [j18]Ivano Lauriola, Claudio Gallicchio, Fabio Aiolli:
Enhancing deep neural networks via multiple kernel learning. Pattern Recognit. 101: 107194 (2020) - [j17]Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli:
EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints. ACM Trans. Archit. Code Optim. 17(3): 22:1-22:24 (2020) - [c55]Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. AAAI 2020: 3898-3905 - [c54]Luca Cerina, Marco D. Santambrogio, Giuseppe Franco, Claudio Gallicchio, Alessio Micheli:
Efficient Embedded Machine Learning applications using Echo State Networks. DATE 2020: 1299-1302 - [c53]Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane:
Frontiers in Reservoir Computing. ESANN 2020: 559-566 - [c52]Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Graph Echo State Networks. ESANN 2020: 573-578 - [c51]Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra:
Simplifying Deep Reservoir Architectures. ESANN 2020: 579-584 - [c50]Miguel A. Atencia Ruiz, Claudio Gallicchio, Gonzalo Joya, Alessio Micheli:
Time Series Clustering with Deep Reservoir Computing. ICANN (2) 2020: 482-493 - [c49]Claudio Gallicchio, Alessio Micheli, Massimiliano Petri, Antonio Pratelli:
A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data. ICCSA (2) 2020: 218-227 - [c48]Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. IJCNN 2020: 1-7 - [c47]Claudio Gallicchio:
Sparsity in Reservoir Computing Neural Networks. INISTA 2020: 1-7 - [c46]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Gated Echo State Networks: a preliminary study. INISTA 2020: 1-5 - [p1]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Hierarchical Temporal Representation in Linear Reservoir Computing. Neural Advances in Processing Nonlinear Dynamic Signals 2020: 119-129 - [i14]Claudio Gallicchio, Simone Scardapane:
Deep Randomized Neural Networks. CoRR abs/2002.12287 (2020) - [i13]Claudio Gallicchio, Alessio Micheli:
Ring Reservoir Neural Networks for Graphs. CoRR abs/2005.05294 (2020) - [i12]Claudio Gallicchio:
Sparsity in Reservoir Computing Neural Networks. CoRR abs/2006.02957 (2020)
2010 – 2019
- 2019
- [j16]Davide Bacciu, Maurizio Di Rocco, Mauro Dragone, Claudio Gallicchio, Alessio Micheli, Alessandro Saffiotti:
An ambient intelligence approach for learning in smart robotic environments. Comput. Intell. 35(4): 1060-1087 (2019) - [j15]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Neural Networks for Trees. Inf. Sci. 480: 174-193 (2019) - [c45]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
Question Classification with Untrained Recurrent Embeddings. AI*IA 2019: 362-375 - [c44]Claudio Gallicchio:
Chasing the Echo State Property. ESANN 2019 - [c43]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. ESANN 2019 - [c42]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. ESANN 2019 - [c41]Giuseppe Franco, Luca Cerina, Claudio Gallicchio, Alessio Micheli, Marco Domenico Santambrogio:
Continuous Blood Pressure Estimation Through Optimized Echo State Networks. ICANN (Workshop) 2019: 48-61 - [c40]Claudio Gallicchio, Alessio Micheli:
Reservoir Topology in Deep Echo State Networks. ICANN (Workshop) 2019: 62-75 - [c39]Claudio Gallicchio, Simone Scardapane:
Deep Randomized Neural Networks. INNSBDDL (Tutorials) 2019: 43-68 - [c38]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Fast Spectral Radius Initialization for Recurrent Neural Networks. INNSBDDL 2019: 380-390 - [c37]Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. IWANN (1) 2019: 480-491 - [i11]Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. CoRR abs/1903.05174 (2019) - [i10]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti:
Embeddings and Representation Learning for Structured Data. CoRR abs/1905.06147 (2019) - [i9]Claudio Gallicchio, Alessio Micheli:
Reservoir Topology in Deep Echo State Networks. CoRR abs/1909.11022 (2019) - [i8]Claudio Gallicchio, Alessio Micheli:
Fast and Deep Graph Neural Networks. CoRR abs/1911.08941 (2019) - 2018
- [j14]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Local Lyapunov exponents of deep echo state networks. Neurocomputing 298: 34-45 (2018) - [j13]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Design of deep echo state networks. Neural Networks 108: 33-47 (2018) - [c36]Claudio Gallicchio:
Short-term Memory of Deep RNN. ESANN 2018 - [c35]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep Echo State Networks for Diagnosis of Parkinson's Disease. ESANN 2018 - [c34]Claudio Gallicchio, Alessio Micheli, Peter Tiño:
Randomized Recurrent Neural Networks. ESANN 2018 - [c33]Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli:
ITAmoji 2018: Emoji Prediction via Tree Echo State Networks. EVALITA@CLiC-it 2018 - [c32]Eleonora Di Gregorio, Claudio Gallicchio, Alessio Micheli:
Combining Memory and Non-linearity in Echo State Networks. ICANN (2) 2018: 556-566 - [c31]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. ICML 2018: 3973-3982 - [c30]Claudio Gallicchio, Alessio Micheli:
Why Layering in Recurrent Neural Networks? A DeepESN Survey. IJCNN 2018: 1-8 - [c29]Claudio Gallicchio, Alessio Micheli:
Deep Tree Echo State Networks. IJCNN 2018: 1-8 - [i7]Claudio Gallicchio:
Short-term Memory of Deep RNN. CoRR abs/1802.00748 (2018) - [i6]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep Echo State Networks for Diagnosis of Parkinson's Disease. CoRR abs/1802.06708 (2018) - [i5]Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer:
Tree Edit Distance Learning via Adaptive Symbol Embeddings. CoRR abs/1806.05009 (2018) - [i4]Claudio Gallicchio:
Chasing the Echo State Property. CoRR abs/1811.10892 (2018) - [i3]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. CoRR abs/1812.11527 (2018) - 2017
- [j12]Claudio Gallicchio, Alessio Micheli:
Echo State Property of Deep Reservoir Computing Networks. Cogn. Comput. 9(3): 337-350 (2017) - [j11]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Erina Ferro, Luigi Fortunati, Davide La Rosa, Filippo Palumbo, Federico Vozzi, Oberdan Parodi:
A learning system for automatic Berg Balance Scale score estimation. Eng. Appl. Artif. Intell. 66: 60-74 (2017) - [j10]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep reservoir computing: A critical experimental analysis. Neurocomputing 268: 87-99 (2017) - [j9]Filippo Palumbo, Davide La Rosa, Erina Ferro, Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Stefano Chessa, Federico Vozzi, Oberdan Parodi:
Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study. J. Reliab. Intell. Environ. 3(3): 139-157 (2017) - [c28]Claudio Gallicchio, Alessio Micheli:
Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living. AI*AAL@AI*IA 2017: 44-57 - [c27]Claudio Gallicchio, José David Martín-Guerrero, Alessio Micheli, Emilio Soria-Olivas:
Randomized Machine Learning Approaches: Recent Developments and Challenges. ESANN 2017 - [c26]Claudio Gallicchio, Alessio Micheli, Luca Silvestri:
Local Lyapunov Exponents of Deep RNN. ESANN 2017 - [c25]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli:
On the need of machine learning as a service for the internet of things. IML 2017: 22:1-22:8 - [i2]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Hierarchical Temporal Representation in Linear Reservoir Computing. CoRR abs/1705.05782 (2017) - [i1]Claudio Gallicchio, Alessio Micheli:
Deep Echo State Network (DeepESN): A Brief Survey. CoRR abs/1712.04323 (2017) - 2016
- [j8]Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli:
Human activity recognition using multisensor data fusion based on Reservoir Computing. J. Ambient Intell. Smart Environ. 8(2): 87-107 (2016) - [c24]Claudio Gallicchio, Alessio Micheli:
A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data. AI*AAL@AI*IA 2016: 33-42 - [c23]Davide Bacciu, Claudio Gallicchio, Alessio Micheli:
A reservoir activation kernel for trees. ESANN 2016 - [c22]Mauro Dragone, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli:
RSS-based Robot Localization in Critical Environments using Reservoir Computing. ESANN 2016 - [c21]Claudio Gallicchio, Alessio Micheli:
Deep Reservoir Computing: A Critical Analysis. ESANN 2016 - [c20]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:
Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project. Intelligent Environments 2016: 132-135 - [c19]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:
A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living. ISAmI 2016: 1-9 - 2015
- [j7]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:
A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. 45: 269-280 (2015) - [j6]Emanuele Crisostomi, Claudio Gallicchio, Alessio Micheli, Marco Raugi, Mauro Tucci:
Prediction of the Italian electricity price for smart grid applications. Neurocomputing 170: 286-295 (2015) - [j5]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:
Robotic Ubiquitous Cognitive Ecology for Smart Homes. J. Intell. Robotic Syst. 80(Supplement-1): 57-81 (2015) - [c18]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessio Micheli, Erina Ferro, Luigi Fortunati, Filippo Palumbo, Oberdan Parodi, Federico Vozzi, Sten Hanke, Johannes Kropf, Karl Kreiner:
Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework. EPIA 2015: 54-66 - [c17]Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio:
Structured parallel implementation of Tree Echo State Network model selection. PARCO 2015: 145-154 - [c16]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Luigi Fortunati, Federico Vozzi, Oberdan Parodi:
A Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 65-77 - [c15]Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Federico Vozzi, Oberdan Parodi:
Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment. AALTD@PKDD/ECML 2015 - 2014
- [j4]Davide Bacciu, Paolo Barsocchi, Stefano Chessa, Claudio Gallicchio, Alessio Micheli:
An experimental characterization of reservoir computing in ambient assisted living applications. Neural Comput. Appl. 24(6): 1451-1464 (2014) - [c14]Davide Bacciu, Claudio Gallicchio, Alessio Micheli, Maurizio Di Rocco, Alessandro Saffiotti:
Learning context-aware mobile robot navigation in home environments. IISA 2014: 57-62 - 2013
- [j3]Paolo Barsocchi, Stefano Chessa, Alessio Micheli, Claudio Gallicchio:
Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS Int. J. Geo Inf. 2(4): 978-995 (2013) - [j2]Claudio Gallicchio, Alessio Micheli:
Tree Echo State Networks. Neurocomputing 101: 319-337 (2013) - [c13]Filippo Palumbo, Paolo Barsocchi, Claudio Gallicchio, Stefano Chessa, Alessio Micheli:
Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. EvAAL 2013: 24-35 - [c12]Davide Bacciu, Claudio Gallicchio, Alessandro Lenzi, Stefano Chessa, Alessio Micheli, Susanna Pelagatti, Claudio Vairo:
Distributed Neural Computation over WSN in Ambient Intelligence. ISAmI 2013: 147-154 - [c11]Stefano Chessa, Claudio Gallicchio, Roberto Guzmán, Alessio Micheli:
Robot Localization by Echo State Networks Using RSS. WIRN 2013: 147-154 - 2012
- [c10]Claudio Gallicchio, Alessio Micheli, Giulio Visco:
Constructive Reservoir Computation with Output Feedbacks for Structured Domains. ESANN 2012 - [c9]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:
Self-sustaining Learning for Robotic Ecologies. SENSORNETS 2012: 99-103 - [c8]Davide Bacciu, Stefano Chessa, Claudio Gallicchio, Alessandro Lenzi, Alessio Micheli, Susanna Pelagatti:
A General Purpose Distributed Learning Model for Robotic Ecologies. SyRoCo 2012: 435-440 - [c7]Davide