Claudio Gallicchio

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

Supervised State Mapping of Clustered GraphESN States

Claudio Gallicchio, Alessio Micheli, 2011, WIRN.

A learning system for automatic Berg Balance Scale score estimation

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2017, Eng. Appl. Artif. Intell..

Deep reservoir computing: A critical experimental analysis

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, 2017, Neurocomputing.

Richness of Deep Echo State Network Dynamics pdf

Claudio Gallicchio, Alessio Micheli, 2019, IWANN.

Architectural and Markovian factors of echo state networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2011, Neural Networks.

Embeddings and Representation Learning for Structured Data pdf

Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti, 2019, ESANN.

Deep Tree Echo State Networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Robot Localization by Echo State Networks Using RSS

Stefano Chessa, Claudio Gallicchio, Alessio Micheli, 2013, WIRN.

RSS-based Robot Localization in Critical Environments using Reservoir Computing

Claudio Gallicchio, Alessio Micheli, Mauro Dragone, 2016, ESANN.

Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems

Stefano Chessa, Paolo Barsocchi, Claudio Gallicchio, 2013, ISPRS Int. J. Geo Inf..

Deep Reservoir Neural Networks for Trees

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2019, Inf. Sci..

Reliability and human factors in Ambient Assisted Living environments

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2017, Journal of Reliable Intelligent Environments.

A reservoir activation kernel for trees

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2016, ESANN.

Gated Echo State Networks: a preliminary study

Claudio Gallicchio, Alessio Micheli, Daniele Di Sarli, 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Short-term Memory of Deep RNN pdf

Claudio Gallicchio, C. Gallicchio, 2018, ESANN.

Echo State Property of Deep Reservoir Computing Networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2017, Cognitive Computation.

Sparsity in Reservoir Computing Neural Networks

Claudio Gallicchio, C. Gallicchio, 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

On the need of machine learning as a service for the internet of things

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2017, IML.

Design of deep echo state networks

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, 2018, Neural Networks.

Reservoir Computing Forecasting of User Movements from RSS Mote-Class Sensors Measurement

Stefano Chessa, Paolo Barsocchi, Claudio Gallicchio, 2011 .

Human activity recognition using multisensor data fusion based on Reservoir Computing

Claudio Gallicchio, Alessio Micheli, Filippo Palumbo, 2016, J. Ambient Intell. Smart Environ..

Internet of Robotic Things-Converging Sensing / Actuating , Hypoconnectivity , Artificial Intelligence and IoT Platforms

Stefano Chessa, Alessandro Saffiotti, Davide Bacciu, 2017 .

Robotic UBIquitous COgnitive Networks (RUBICON)

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2012 .

Pyramidal Graph Echo State Networks

Claudio Gallicchio, Filippo Maria Bianchi, Alessio Micheli, 2020, ESANN.

On the Predictive Effects of Markovian and Architectural Factors of Echo State Networks

Claudio Gallicchio, Alessio Micheli, 2009 .

An ambient intelligence approach for learning in smart robotic environments

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2019, Comput. Intell..

Prediction of the Italian electricity price for smart grid applications

Claudio Gallicchio, Alessio Micheli, Marco Raugi, 2015, Neurocomputing.

Distributed Neural Computation over WSN in Ambient Intelligence

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2013, ISAmI.

Why Layering in Recurrent Neural Networks? A DeepESN Survey

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Preliminary Investigation of Machine Learning Approaches for Mobility Monitoring from Smartphone Data

Claudio Gallicchio, Antonio Pratelli, Massimiliano Petri, 2020, ICCSA.

Enhancing deep neural networks via multiple kernel learning

Claudio Gallicchio, Ivano Lauriola, Fabio Aiolli, 2020, Pattern Recognit..

A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2016, AI*AAL@AI*IA.

Deep Echo State Network (DeepESN): A Brief Survey pdf

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2017, ArXiv.

Chasing the Echo State Property pdf

Claudio Gallicchio, C. Gallicchio, 2018, ESANN.

Exploiting vertices states in GraphESN by weighted nearest neighbor

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2011, ESANN.

Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing

Stefano Chessa, Paolo Barsocchi, Claudio Gallicchio, 2013, EvAAL.

Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2016, 2016 12th International Conference on Intelligent Environments (IE).

EchoBay: Design and Optimization of Echo State Networks under Memory and Time Constraints

Claudio Gallicchio, Alessio Micheli, Marco D. Santambrogio, 2020, ACM Trans. Archit. Code Optim..

Continuous Blood Pressure Estimation Through Optimized Echo State Networks

Claudio Gallicchio, Alessio Micheli, Marco D. Santambrogio, 2019, ICANN.

Reservoir Topology in Deep Echo State Networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2019, ICANN.

A Markovian characterization of redundancy in echo state networks by PCA

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2010, ESANN.

Robotic Ubiquitous Cognitive Ecology for Smart Homes

Stefano Chessa, Alessandro Saffiotti, Davide Bacciu, 2015, Journal of Intelligent & Robotic Systems.

Comparison between DeepESNs and gated RNNs on multivariate time-series prediction pdf

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, 2018, ESANN.

Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2017, AI*AAL@AI*IA.

IoT European Large-Scale Pilots – Integration, Experimentation and Testing

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2017 .

Structured parallel implementation of Tree Echo State Network model selection

Claudio Gallicchio, Alessio Micheli, Marco Danelutto, 2015, PARCO.

Deep Randomized Neural Networks pdf

Claudio Gallicchio, Simone Scardapane, C. Gallicchio, 2020, INNSBDDL.

Randomized Recurrent Neural Networks

Peter Tiño, Claudio Gallicchio, Alessio Micheli, 2018, ESANN.

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living

Stefano Chessa, Davide Bacciu, Paolo Barsocchi, 2012, WIRN.

Simplifying Deep Reservoir Architectures

Claudio Gallicchio, Alessio Micheli, Antonio Sisbarra, 2020, ESANN.

Fast and Deep Graph Neural Networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2019, AAAI.

Randomized Machine Learning Approaches: Recent Developments and Challenges

Claudio Gallicchio, Alessio Micheli, José David Martín-Guerrero, 2017, ESANN.

A General Purpose Distributed Learning Model for Robotic Ecologies

Stefano Chessa, Davide Bacciu, Claudio Gallicchio, 2012, SyRoCo.

Question Classification with Untrained Recurrent Embeddings

Claudio Gallicchio, Alessio Micheli, Daniele Di Sarli, 2019, AI*IA.

ITAmoji 2018: Emoji Prediction via Tree Echo State Networks

Claudio Gallicchio, Alessio Micheli, Daniele Di Sarli, 2018, EVALITA@CLiC-it.

Graph Echo State Networks

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Ring Reservoir Neural Networks for Graphs

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment

Claudio Gallicchio, Alessio Micheli, Federico Vozzi, 2015, AALTD@PKDD/ECML.

TreeESN: a Preliminary Experimental Analysis

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2010, ESANN.

Local Lyapunov Exponents of Deep RNN

Claudio Gallicchio, Alessio Micheli, Luca Silvestri, 2017, ESANN.

Fast Spectral Radius Initialization for Recurrent Neural Networks

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, 2019, INNSBDDL.

Self-sustaining Learning for Robotic Ecologies

Alessandro Saffiotti, Davide Bacciu, Claudio Gallicchio, 2012, SENSORNETS.

Hierarchical Temporal Representation in Linear Reservoir Computing

Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, 2017, Neural Advances in Processing Nonlinear Dynamic Signals.

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS).

Guest Editorial: Trends in Reservoir Computing

Claudio Gallicchio, Alessio Micheli, Simone Scardapane, 2021, Cognitive Computation.

Echo state graph neural networks with analogue random resistor arrays pdf

Claudio Gallicchio, Kwang-Ting Cheng, Dashan Shang, 2021, ArXiv.

Phase Transition Adaptation

Claudio Gallicchio, Alessio Micheli, Luca Silvestri, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, IWANN.

Federated Reservoir Computing Neural Networks

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Continual Learning with Echo State Networks pdf

Davide Bacciu, Claudio Gallicchio, Vincenzo Lomonaco, 2021, ESANN.

Reservoir Computing by Discretizing ODEs

Claudio Gallicchio, C. Gallicchio, 2021, ESANN.

Deep Reservoir Computing

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2021, Reservoir Computing.

Pyramidal Reservoir Graph Neural Network pdf

Claudio Gallicchio, Alessio Micheli, Filippo Maria Bianchi, 2021, Neurocomputing.

Deep Reservoir Computing: A Critical Analysis

Claudio Gallicchio, Alessio Micheli, A. Micheli, 2016, ESANN.