Claudio Gallicchio

Proceedings of the International Joint Conference on Neural Networks, 2022

Minimal Euler State Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Dynamics in Deep Echo State Networks.

[BibT_eX]

[DOI]

Domenico Tortorella

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Continual Learning for Human State Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Orthogonality in Additive Echo State Networks.

[BibT_eX]

[DOI]

Andrea Ceni

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Federated Adaptation of Reservoirs via Intrinsic Plasticity.

[BibT_eX]

[DOI]

Valerio De Caro

Davide Bacciu

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Input Routed Echo State Networks.

[BibT_eX]

[DOI]

Luca Argentieri

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Deep Features for CBIR with Scarce Data using Hebbian Learning.

[BibT_eX]

[DOI]

Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

2021

Deep Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the Reservoir Computing, 2021

Echo state graph neural networks with analogue random resistor arrays.

[BibT_eX]

[DOI]

CoRR, 2021

A preliminary evaluation of Echo State Networks for Brugada syndrome classification.

[BibT_eX]

[DOI]

Giovanna Maria Dimitri

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

Phase Transition Adaptation.

[BibT_eX]

[DOI]

Luca Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2021

Federated Reservoir Computing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Reservoir Computing by Discretizing ODEs.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Continual Learning with Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020

Hierarchical Temporal Representation in Linear Reservoir Computing.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Luca Cerina

Marco D. Santambrogio

Giuseppe Franco

ACM Trans. Archit. Code Optim., 2020

Enhancing deep neural networks via multiple kernel learning.

[BibT_eX]

[DOI]

Ivano Lauriola

Fabio Aiolli

Pattern Recognit., 2020

Text classification by untrained sentence embeddings.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2020

Gated Echo State Networks: a preliminary study.

[BibT_eX]

[DOI]

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

Sparsity in Reservoir Computing Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

Ring Reservoir Neural Networks for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Time Series Clustering with Deep Reservoir Computing.

[BibT_eX]

[DOI]

Miguel A. Atencia Ruiz

Gonzalo Joya

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Simplifying Deep Reservoir Architectures.

[BibT_eX]

[DOI]

Antonio Sisbarra

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

Frontiers in Reservoir Computing.

[BibT_eX]

[DOI]

Mantas Lukosevicius

Simone Scardapane

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

Pyramidal Graph Echo State Networks.

[BibT_eX]

[DOI]

Filippo Maria Bianchi

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

Efficient Embedded Machine Learning applications using Echo State Networks.

[BibT_eX]

[DOI]

Luca Cerina

Marco D. Santambrogio

Giuseppe Franco

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Fast and Deep Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Reservoir Neural Networks for Trees.

[BibT_eX]

[DOI]

Inf. Sci., 2019

An ambient intelligence approach for learning in smart robotic environments.

[BibT_eX]

[DOI]

Comput. Intell., 2019

Richness of Deep Echo State Network Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2019

Deep Randomized Neural Networks.

[BibT_eX]

[DOI]

Simone Scardapane

Proceedings of the Recent Trends in Learning From Data, 2019

Fast Spectral Radius Initialization for Recurrent Neural Networks.

[BibT_eX]

[DOI]

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

Reservoir Topology in Deep Echo State Networks.

[BibT_eX]

[DOI]

Marco Domenico Santambrogio

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Continuous Blood Pressure Estimation Through Optimized Echo State Networks.

[BibT_eX]

[DOI]

Embeddings and Representation Learning for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Chasing the Echo State Property.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Question Classification with Untrained Recurrent Embeddings.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018

Design of deep echo state networks.

[BibT_eX]

[DOI]

Neural Networks, 2018

Local Lyapunov exponents of deep echo state networks.

[BibT_eX]

[DOI]

Luca Silvestri

Neurocomputing, 2018

Deep Tree Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Why Layering in Recurrent Neural Networks? A DeepESN Survey.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Tree Edit Distance Learning via Adaptive Symbol Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Combining Memory and Non-linearity in Echo State Networks.

[BibT_eX]

[DOI]

Eleonora Di Gregorio

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

ITAmoji 2018: Emoji Prediction via Tree Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) co-located with the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018), 2018

Randomized Recurrent Neural Networks.

[BibT_eX]

[DOI]

Peter Tiño

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

Deep Echo State Networks for Diagnosis of Parkinson's Disease.

[BibT_eX]

[DOI]

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

Short-term Memory of Deep RNN.

[BibT_eX]

[DOI]

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

2017

Reliability and human factors in Ambient Assisted Living environments - The DOREMI case study.

[BibT_eX]

[DOI]

J. Reliab. Intell. Environ., 2017

Deep reservoir computing: A critical experimental analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A learning system for automatic Berg Balance Scale score estimation.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Hierarchical Temporal Representation in Linear Reservoir Computing.

[BibT_eX]

[DOI]

CoRR, 2017

Echo State Property of Deep Reservoir Computing Networks.

[BibT_eX]

[DOI]

Cogn. Comput., 2017

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

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

Local Lyapunov Exponents of Deep RNN.

[BibT_eX]

[DOI]

Luca Silvestri

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Randomized Machine Learning Approaches: Recent Developments and Challenges.

[BibT_eX]

[DOI]

José David Martín-Guerrero

Emilio Soria-Olivas

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Experimental Analysis of Deep Echo State Networks for Ambient Assisted Living.

[BibT_eX]

[DOI]

Proceedings of the Third Italian Workshop on Artificial Intelligence for Ambient Assisted Living 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016

Activity Recognition system based on Multisensor data fusion (AReM).

[BibT_eX]

[DOI]

Dataset, May, 2016

Indoor User Movement Prediction from RSS data.

[BibT_eX]

[DOI]

Dataset, February, 2016

Human activity recognition using multisensor data fusion based on Reservoir Computing.

[BibT_eX]

[DOI]

J. Ambient Intell. Smart Environ., 2016

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living.

[BibT_eX]

[DOI]

Proceedings of the Ambient Intelligence - Software and Applications, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Environments, 2016

Deep Reservoir Computing: A Critical Analysis.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

RSS-based Robot Localization in Critical Environments using Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A reservoir activation kernel for trees.

[BibT_eX]

[DOI]

Davide Bacciu

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A Reservoir Computing Approach for Human Gesture Recognition from Kinect Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence for Ambient Assisted Living 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), 2016

2015

Robotic Ubiquitous Cognitive Ecology for Smart Homes.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2015

Prediction of the Italian electricity price for smart grid applications.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A cognitive robotic ecology approach to self-configuring and evolving AAL systems.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Preliminary Experimental Analysis of Reservoir Computing Approach for Balance Assessment.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

A Reservoir Computing Approach for Balance Assessment.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Structured parallel implementation of Tree Echo State Network model selection.

[BibT_eX]

[DOI]

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Smart Environments and Context-Awareness for Lifestyle Management in a Healthy Active Ageing Framework.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2015

2014

An experimental characterization of reservoir computing in ambient assisted living applications.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

Learning context-aware mobile robot navigation in home environments.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Information, 2014

2013

Tree Echo State Networks.

[BibT_eX]

[DOI]

Neurocomputing, 2013

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

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2013

Robot Localization by Echo State Networks Using RSS.

[BibT_eX]

[DOI]

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

Distributed Neural Computation over WSN in Ambient Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Ambient Intelligence - Software and Applications, 2013

Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing.

[BibT_eX]

[DOI]

Proceedings of the Evaluating AAL Systems Through Competitive Benchmarking, 2013

2012

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living.

[BibT_eX]

[DOI]

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

A General Purpose Distributed Learning Model for Robotic Ecologies.

[BibT_eX]

[DOI]

Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

Self-sustaining Learning for Robotic Ecologies.

[BibT_eX]

Proceedings of the SENSORNETS 2012, 2012

Constructive Reservoir Computation with Output Feedbacks for Structured Domains.

[BibT_eX]

[DOI]

Giulio Visco

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Reservoir Computing for Learning in Structured Domains.

[BibT_eX]

[DOI]

PhD thesis, 2011

Architectural and Markovian factors of echo state networks.

[BibT_eX]

[DOI]

Neural Networks, 2011

Supervised State Mapping of Clustered GraphESN States.

[BibT_eX]

[DOI]

Proceedings of the Neural Nets WIRN11, 2011

User Movements Forecasting by Reservoir Computing Using Signal Streams Produced by Mote-Class Sensors.

[BibT_eX]

[DOI]

Proceedings of the Mobile Lightweight Wireless Systems, 2011

Exploiting vertices states in GraphESN by weighted nearest neighbor.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Graph Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

TreeESN: a Preliminary Experimental Analysis.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

A Markovian characterization of redundancy in echo state networks by PCA.

[BibT_eX]

[DOI]