- Challenges and Perspectives of Smart Grid Systems in Islands: A Real Case Study, F. Succetti, A. Rosato, R. Araneo, G. Di Lorenzo, M. Panella, Energies, 2023
- A randomized deep neural network for emotion recognition with landmarks detection, F. Di Luzio, A. Rosato, M. Panella, Biomedical Signal Processing and Control 81, 104418, 2023
- Perceptron theory can predict the accuracy of neural networks D Kleyko, A Rosato, E.P. Frady, M. Panella, F.T. Sommer, IEEE Transactions on Neural Networks and Learning Systems, 2023
- Systematic review of energy theft practices and autonomous detection through artificial intelligence methods E Stracqualursi, A. Rosato, G. Di Lorenzo, M. Panella, R. Araneo, Renewable and Sustainable Energy Reviews 184, 113544, 2023
- Multi-Damage Detection in Composite Space Structures via Deep Learning, F. Angeletti, P. Gasbarri, M. Panella, A. Rosato, Sensors 23 (17), 7515, 2023
- Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks, V. Eramo, F.G. Lavacca, F. Valente, V. Filippetti, A. Rosato, A. Verdone, 23rd International Conference on Transparent Optical Networks (ICTON), 1-6, 2023
- Modular quantum circuits for secure communication, A. Ceschini, A. Rosato, M. Panella, IET Quantum Communication, 2023
- A Review on Quantum Approximate Optimization Algorithm and its Variants, K. Blekos, D. Brand, A. Ceschini, C.H. Chou, R.H. Li, K. Pandya, arXiv preprint arXiv:2306.09198, 2023
- Resource saving via ensemble techniques for quantum neural networks, M. Incudini, M. Grossi, A. Ceschini, A. Mandarino, M. Panella, S. Vallecorsa, arXiv preprint arXiv:2303.11283, 2023
- A Price-aware Dynamic Decision System in Energy Communities, F. Di Luzio, F. Succetti, A. Rosato, R. Araneo, M. Panella, IEEE International Conference on Environment and Electrical Engineering, 2022
- Quasi-Chaotic Oscillators Based on Modular Quantum Circuits, A. Ceschini, A. Rosato, M. Panella, arXiv preprint arXiv:2203.14029, 2022
- Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells, B. Alam, A. Ceschini, A. Rosato, M. Panella, R. Asquini, AISEM Annual Conference on Sensors and Microsystems, 167-173, 2022
- A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition, F. Succetti, A. Rosato, F. Di Luzio, A. Ceschini, M. Panella, Progress In Electromagnetics Research, 2022
- Detection of Autism Spectrum Disorder by a Fast Deep Neural Network, F. Di Luzio, F. Colonnese, A. Rosato, M. Panella, International Conference on Applied Intelligence and Informatics, 539-553, 2022
- Hybrid quantum-classical recurrent neural networks for time series prediction, A. Ceschini, A. Rosato, M. Panella, 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
- Multivariate Time Series Analysis for Electrical Power Theft Detection in the Distribution Grid, A. Ceschini, A. Rosato, F. Succetti, R. Araneo, M. Panella, 2022 IEEE International Conference on Environment and Electrical Engineering, 2022
- All-optical AND Logic Gate Based on Semiconductor Optical Amplifiers for Implementing Deep Recurrent Neural Networks, B. Alam, A. Ceschini, A. Rosato, M. Panella, R. Asquini, 2022 International Conference on Numerical Simulation of Optoelectronic, 2022
- Ensembling Techniques for Quantum Neural Networks, M. Incudini, M. Grossi, A. Ceschini, A. Mandarino, M. Panella, S. Vallecorsa, et al., Proceedings of Quantum Techniques in Machine Learning (QTML 2022), 2022
- Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks, A. Verdone, S. Scardapane M. Panella, 2022 International Joint Conference on Neural Networks (IJCNN), 2022
- Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks, F. Succetti, A. Rosato, M. Panella, International Conference on Applied Intelligence and Informatics, 2022
- Deep learning-based Structural Health Monitoring for damage detection on a large space antenna, P. Iannelli, F. Angeletti, P. Gasbarri, M. Panella, A. Rosato, Acta Astronautica 193, 635-643, 2022
- Distributed LSTM-based cloud resource allocation in network function virtualization architectures, T.Catena, V. Eramo, M. Panella, A. Rosato, Computer Networks 213, 109111, 2022
- A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning, F. Angeletti, P. Iannelli, P. Gasbarri, M. Panella, A. Rosato, Sensors 23 (1), 368, 2022
- Few-shot federated learning in randomized neural networks via hyperdimensional computing, A. Rosato, M. Panella, E. Osipov, D. Kleyko, 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
- Time Series Prediction with Autoencoding LSTM Networks, F. Succetti, A. Ceschini, F. Di Luzio, A. Rosato, In: Advances in Computational Intelligence: 16th International Work-Conference on Artificial Neural Networks IWANN 2021, 2021
- Deep neural networks for electric energy theft and anomaly detection in the distribution grid, A. Ceschini, A. Rosato, F. Succetti, F. Di Luzio, M. Mitolo, R. Araneo, M. Panella, 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 2021
- A blockwise embedding for multi-day-ahead prediction of energy time series by randomized deep neural networks, F. Di Luzio, A. Rosato, F. Succetti, M.Panella – 2021 International Joint Conference on Neural Networks (IJCNN), 2021
- Multivariate prediction of energy time series by autoencoded LSTM networks, F. Succetti, F. Di Luzio, A. Ceschini, A. Rosato, R. Araneo, M. Panella – 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-5), 2021
- Two-stage dynamic management in energy communities using a decision system based on elastic net regularization, A. Rosato, M. Panella, A. Andreotti, O.A. Mohammed, R. Araneo, Applied Energy 291, 116852, 2021
- 2-D convolutional deep neural network for the multivariate prediction of photovoltaic time series, A. Rosato, R. Araneo, A. Andreotti, F. Succetti, M. Panella, Energies 14 (9), 2392, 2021
- Hyperdimensional computing for efficient distributed classification with randomized neural networks, A. Rosato, M. Panella, D. Kleyko, 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
- A decentralized algorithm for distributed ensemble clustering, A. Rosato, R. Altilio, M. Panella, Information Sciences 578, 417-434, 2021
- Design of an LSTM Cell on a Quantum Hardware, A. Ceschini, A. Rosato, M. Panella, IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1822-1826, 2021
- On effects of compression with hyperdimensional computing in distributed randomized neural networks, A. Rosato, M. Panella, E. Osipov, D. Kleyko International Work-Conference on Artificial Neural Networks, 155-16 , 2021
- Perceptron theory for predicting the accuracy of neural networks, D. Kleyko, A. Rosato, E.P. Frady, M. Panella, F.T. Sommer, arXiv preprint arXiv:2012.07881, 2020
- ADMM consensus for deep LSTM networks, A. Rosato, F. Succetti, M. Barbirotta, M. Panella – 2020 International Joint Conference on Neural Networks (IJCNN), 2020
- Deep neural networks for multivariate prediction of photovoltaic power time series, F. Succetti, A. Rosato, R. Araneo, M. Panella, IEEE Access, 2020
- Multidimensional feeding of LSTM networks for multivariate prediction of energy time series, F. Succetti, A. Rosato, R. Araneo, M. Panella, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-5), 2020
- A Combined Deep Learning Approach for Time Series Prediction in Energy Environments, A. Rosato, F. Succetti, R. Araneo, A. Andreotti, M. Mitolo, M. Panella, 2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS), 2020
- A parallel hardware implementation for 2-d hierarchical clustering based on fuzzy logic, G.C. Cardarilli, L. Di Nunzio, R. Fazzolari, M. Panella, M. Re, A. Rosato, S. Spanò, IEEE Transactions on Circuits and Systems II: Express Briefs 68 (4), 1428-1432, 2020
- A review of the enabling methodologies for knowledge discovery from smart grids data, F. De Caro, A. Andreotti, R. Araneo, M. Panella, A. Rosato, A. Vaccaro, D. Villacci, Energies 13 (24), 6579, 2020
- Time series prediction using random weights fuzzy neural networks ,A. Rosato, M. Panella, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2020
- Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding , A. Rosato, R. Araneo, M. Panella, 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
- An Energy-Aware Hardware Implementation of 2D Hierarchical Clustering, G.C. Cardarilli, R. Fazzolari, M. Matta, M. Panella, A. Rosato, S. Spanò, 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 2020
- Deep Learning for local damage identification in large space structures via sensor-measured time responses, P. Iannelli, F. Angeletti, P. Gasbarri, M. Panella, A. Rosato, INTERNATIONAL ASTRONAUTICAL CONGRESS: IAC PROCEEDINGS 2020, 2020
- User centered design to improve information exchange in diabetes care through eHealth: results from a small scale exploratory study, G. Fico, A. Martinez-Millana, J.P. Leuteritz, A. Fioravanti, et al., Journal of medical systems 44, 1-12, 2020
- Multivariate Prediction in Photovoltaic Power Plants by a Stacked Deep Neural Network, A. Rosato, R. Araneo, M. Panella, 2019 Photonics & Electromagnetics Research Symposium-Fall (PIERS-Fall), 451-457, 2019
- A neural network based prediction system of distributed generation for the management of microgrids, A. Rosato, M. Panella, R. Araneo, A. Andreotti, IEEE Transactions on Industry Applications 55 (6), 7092-7102, 2019
- Multivariate Prediction of PM10 Concentration by LSTM Neural Networks, L. Di Antonio, A. Rosato, V. Colaiuda, A. Lombardi, B. Tomassetti, M. Panella, 2019 Photonics & Electromagnetics Research Symposium-Fall (PIERS-Fall), 423-431, 2019
- A training procedure for quantum random vector functional-link networks, M. Panella, A. Rosato, ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
- Predictive Analysis of Photovoltaic Power Generation Using Deep Learning, A. Rosato, R. Araneo, A. Andreotti, M. Panella, 2019 IEEE International Conference on Environment and Electrical Engineering, 2019
- Decentralized Prediction of Electrical Time Series in Smart Grids Using Long Short-Term Memory Neural Networks, A. Rosato, R. Araneo, M. Panella, 2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring), 1-9, 2019
- A Fuzzy Neural Network Approach to Quality Assessment of Water Reservoirs, HAN Silva, A. Rosato, M. Panella, 2019 PhotonIcs & Electromagnetics Research Symposium-Spring , 2019
- DEEP LEARNING PER IL CONTROLLO PREDITTIVO NELLA GESTIONE DELLE RISORSE ENERGETICHE DISTRIBUITE, A. Rosato, R. Araneo, M. Panella, Memorie ET2019, 1-2, 2019
- A smart grid in Ponza Island: battery energy storage management by echo state neural network, A. Rosato, R. Altilio, R. Araneo, M. Panella, 2018 IEEE International Conference on Environment and Electrical Engineering, 2018
- Water quality prediction based on wavelet neural networks and remote sensing HAN Silva, A. Rosato, R. Altilio, M. Panella, 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
- A sparse Bayesian model for random weight fuzzy neural networks, R. Altilio, A. Rosato, M. Panella, 2018 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-7,2018
- On-line learning of rvfl neural networks on finite precision hardware, A. Rosato, R. Altilio, M. Panella, m2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
- Neural Network Approaches to Electricity Price Forecastingly in Day-Ahead Markets, A. Rosato, R. Altilio, R. Araneo, M. Panella, 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), 2018
- A distributed algorithm for the cooperative prediction of power production in PV plants, A. Rosato, M. Panella, R. Araneo, IEEE Transactions on Energy Conversion 34 (1), 497-508, 2018
- Apprendimento sparso di reti neurofuzzy, M. Panella, R. Altilio, A. Rosato, Memorie ET2018, 1-2, 2018
- Apprendimento on-line di reti neurali su architetture a precisione numerica finita, M. Panella, R. Altilio, A. Rosato, Memorie ET2018, 1-2, 2018
- RETI NEURALI E LOGICA FUZZY PER LA PREDIZIONE DI SERIE ENERGETICHE, A. Rosato, R. Altilio, R. Araneo, M. Panella, Memorie ET2017, 1-2, 2017
- Prediction in photovoltaic power by neural networks, A. Rosato, R. Altilio, R. Araneo, M. Panella, Energies 10 (7), 1003, 2017
- Retrieving Chlorophyll-a levels, transparency and TSS concentration from multispectral satellite data by using artificial neural networks, HAN Silva, G. Laneve, A. Rosato, M. Panella, 2017 Progress In Electromagnetics Research Symposium-Fall (PIERS-FALL), 2876, 2017
- A new learning approach for Takagi-Sugeno fuzzy systems applied to time series prediction, R. Altilio, A. Rosato, M. Panella, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
- Takagi-Sugeno fuzzy systems applied to voltage prediction of photovoltaic plants, A. Rosato, R. Altilio, R. Araneo, M. Panella, 2017 IEEE International Conference on Environment and Electrical Engineering, 2017
- Finite precision implementation of random vector functional-link networks, A. Rosato, R. Altilio, M. Panella, 2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
- A nonuniform quantizer for hardware implementation of neural networks, R. Altilio, A. Rosato, M. Panella, 2017 European Conference on Circuit Theory and Design (ECCTD), 1-4, 2017
- A technological framework based on automatic messaging for improving adherence of diabetic patients, A. Fioravanti, Telecomunicacion, 2016
- MACHINE LEARNING PER L’ANALISI AMBIENTALE, A. Proietti, A. Rosato, HA Nascimento Silva, M. Panella, Memorie ET2016, 1-2, 2016
- Embedding of time series for the prediction in photovoltaic power plants, A. Rosato, R. Altilio, R. Araneo, M. Panella, 2016 IEEE 16th International Conference on Environment and Electrical Engineering, 2016
- Distributed learning of random weights fuzzy neural networks, R. Fierimonte, M. Barbato, A. Rosato, M. Panella, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2287-2294, 2016
- Recent advances on distributed unsupervised learning, A. Rosato, R. Altilio, M. Panella, Advances in Neural Networks: Computational Intelligence for ICT, 77-86, 2016
- Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring, K. Zarkogianni, K. Mitsis, E. Litsa, M.T. Arredondo, G .Fico, A. Fioravanti, Medical & biological engineering & computing 53, 1333-1343, 2015
- Automatic messaging for improving patients engagement in diabetes management: an exploratory study, A. Fioravanti, G. Fico, D. Salvi, RI García-Betances, MT Arredondo, Medical & biological engineering & computing 53, 1285-1294, 2015
- Correspondence matching based on Higher Order Statistics for Multi-view plus Depth video sequences, S. Colonnese, P. Oliveira, A. Rosato, L. Ungaro, A. Beghdadi, M. Biagi, 2014 5th European Workshop on Visual Information Processing (EUVIP), 1-6, 2014
- Adaptive Healthcare Pathway for Diabetes Disease Management, G. Fico, A. Fioravanti, MT Arredondo, C. Diazzi, G. Arcuri, C. Conti, G. Pirini, XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: MEDICON 2013, 2014
- Neuro-Fuzzy based Glucose Prediction Model for Patients with Type 1 Diabetes Mellitus, K. Zarkogianni, K. Mitsis, M.-T. Arredondo, G IEEE-EMBS International Conferences on Biomedical and Health Informatics, 2014
- Experience in evaluating AAL solutions in living labs, JBM Colomer, D. Salvi, MF Cabrera-Umpierrez, MT Arredondo, P. Abril, Sensors 14 (4), 7277-7311, 2014
- Preliminary evaluation of a personal healthcare system prototype for cognitive eRehabilitation in a living assistance domain, M. Pastorino, A. Fioravanti, MT Arredondo, JM Cogollor, J. Rojo, M. Ferre, Sensors 14 (6), 10213-10233, 2014
- Health‐Integrated System Paradigm: Diabetes Management, A. Fioravanti, G. Fico, AG Patón, JP Leuteritz, AG Arredondo, et al., Handbook of Biomedical Telemetry, 623-632, 2014
- An innovative solution based on human-computer interaction to support cognitive rehabilitation, JM Cogollor, M. Pastorino, J. Rojo, A. Fioravanti, A. Wing, MT Arredondo, Journal of accessibility and design for all 4 (3), 238-254, 2014
- Cogwatch: a web based platform for cognitive tele-rehabilitation and follow up of apraxia and action disorganisation syndrome patients, M. Pastorino, A. Fioravanti, MT Arredondo, JM Cogollor, J. Rojo, M. Ferre, IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
- Integration of personalized healthcare pathways in an ICT platform for diabetes managements: a small-scale exploratory study, G. Fico, A. Fioravanti, MT Arredondo, J. Gorman, C. Diazzi, G. Arcuri, C. Conti, IEEE Journal of Biomedical and Health Informatics 20 (1), 29-38, 2014
- Interactive Architecture for a Web Based Platform for Apraxia and Action Disorganisation Syndrome Rehabilitation, AMW Matteo Pastorino, Alessio Fioravanti, María Teresa Japanese Society for Medical and Biological Engine 51 (Supplement), R-324, 2013
- Handbook of Biomedical Telemetry (IEEE Press Series on Biomedical Engineering) – Chapter 21 JPL Alessio Fioravanti, Giuseppe Fico, Alejandro, 2013
- Evaluation of a Diabetes Disease Management Platform Based on an ICT Enabled Personalized Healthcare Pathway, GP Giuseppe Fico, Rebeca I. García-Betances, Member IEEE J-BHI special issue: “Biomedical ITC Convergence Engineering”, 2013
- A Step Forward in Human-Computer Interaction for Cognitive Rehabilitation, JH José M. Cogollor, Matteo Pastorino, Javier Rojo, V Congreso Internacional de Diseño, Redes de Investigación y Tecnología para todos, 2013
- Sistema de Rehabilitación Cognitiva para la Asistencia en Actividades Cotidianas de Pacientes tras Sufrir un Accidente Cerebro-Vascular, JMSZ J. Rojo, J. M. Cogollor, M. Pastorino, A 12º Workshop Robótica Cognitiva, Robocity 2030-II, 2013
- An iPhone-based application for promoting type 2 diabetic patients self-management towards healthy lifestyle habits, A. González, G. Fico, MT Arredondo Waldmeyer, A. Fioravanti Telecomunicacion, 2011
- A mobile feedback system for integrated E-health platforms to improve self-care and compliance of diabetes mellitus patients, A. Fioravanti, G. Fico, MT Arredondo, JP Leuteritz, 2011 annual international conference of the IEEE engineering in medicine and biology society, 2011
- A user centered design approach for patient interfaces to a diabetes IT platform, G. Fico, A. Fioravanti, MT Arredondo, JP Leuteritz, A. Guillén, D. Fernandez, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
- Integration of heterogeneous biomedical sensors into an ISO/IEEE 11073 compliant application, A. Fioravanti, G. Fico, MT Arredondo, D. Salvi, JL Villalar, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
- A healthy lifestyle coaching-persuasive application for patients with type 2 diabetes, G. Fico, A. Fioravanti, MT Arredondo, D. Ardigó, A. Guillén, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
- Approaching personalised emergency management to Future Internet, E. Gaeta, PD Juan Luis Villalar, L. Pastor-Sanz, A. Fioravanti, Healthcare Computing, 2010