A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Interim Report on Engineering Methods and Architecture Patterns of Dependable CPSoS
Preliminary use case deployment, implementation and integration report with related dataset release

Preliminary use case deployment implementation and integration report with related dataset release

Report on integrated mockup of the AIaaS system
Refined requirement specifications and preliminary release of the computing and communication platform
Final release of the computing and communication platform

Final release of the computing and communication platform the evaluation of its integration with the project use cases

Report on Final release of the AIaaS system
Final Report on Engineering Methods and Architecture Patterns of Dependable CPSoS

Mid-term update of stakeholders’ engagement plan, dissemination and exploitation mid-term reports
Final dissemination and exploitation report
Report on TEACHING related technologies SoA and derived CPSoS requirements
State-of-the-art analysis and preliminary requirement specifications for the computing and communication platform
Overview of AI standardization

D65 Overview of AI standardization 36Overview of the AI standardization landscape with a focus on safe AI and the usage for road vehicles

Final report on the distribution of the Community contribution
Report on TEACHING CPSoS integration and on Human Centred Design outcomes
Initial use case specifications
Market analysis, business plan and long-term sustainability report
TEACHING CPSoS architecture and specifications
Initial plans for stakeholders’ engagement, dissemination and exploitation of results
Initial report on the AIaaS system

First report on the AIaaS system, including state-of-the-art analysis, preliminary requirement specifications and design.

Use case evaluation report
Initial Report on Engineering Methods and Architecture Patterns of Dependable CPSoS

AI models training dataset

Pubblicazioni

A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting

Autori: Andrea Valenti, Michele Barsotti, Davide Bacciu, Luca Ascari
Pubblicato in: Bioengineering, Numero 8/2, 2021, Pagina/e 21, ISSN 2306-5354
Editore: MDPI
DOI: 10.3390/bioengineering8020021

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark

Autori: A. Carta, A., Cossu, F. Errica, D.Bacciu
Pubblicato in: Frontiers in Artificial Intelligence, 2022, ISSN 2624-8212
Editore: Frontiers
DOI: 10.3389/frai.2022.824655

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Autori: Davide Bacciu, Gioele Bertoncini, Davide Morelli
Pubblicato in: Neural Computing and Applications, 2021, ISSN 0941-0643
Editore: Springer Verlag
DOI: 10.1007/s00521-020-05600-4

Federated Feature Selection for Cyber-Physical Systems of Systems

Autori: Cassará, Pietro; Gotta, Alberto; Valerio, Lorenzo
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 9, 2022, ISSN 1939-9359
Editore: IEEE
DOI: 10.1109/tvt.2022.3178612

DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems

Autori: Maycon Viana Bordin, Dalvan Griebler, Gabriele Mencagli, Claudio F. R. Geyer, Luiz Gustavo L. Fernandes
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 222900-222917, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3043948

Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios

Autori: Saira Bano; Nicola Tonellotto; Pietro Cassara; Alberto Gotta
Pubblicato in: Computer Communications, Numero Volume 205, 1 May 2023, 2023, Pagina/e 45-57, ISSN 0140-3664
Editore: Elsevier BV
DOI: 10.1016/j.comcom.2023.04.010

Is Class-Incremental Enough for Continual Learning?

Autori: Cossu, A., Graffieti, G., Pellegrini, L., Maltoni, D., Bacciu, D., Carta, A., & Lomonaco, V
Pubblicato in: Frontiers in Artificial Intelligence, 2022, ISSN 1535-6698
Editore: Frontiers
DOI: 10.3389/frai.2022.829842

Architectural richness in deep reservoir computing

Autori: Gallicchio, Claudio; Micheli, Alessio
Pubblicato in: Neural Computing and Applications, Numero 9, 2022, ISSN 1433-3058
Editore: Springer
DOI: 10.1007/s00521-021-06760-7

Enhancing Acceptance and Trust in Automated Driving trough Virtual Experience on a Driving Simulator

Autori: Philipp Clement; Omar Veledar; Clemens Könczöl; Herbert Danzinger; Markus Posch; Arno Eichberger; Georg Macher
Pubblicato in: Energies, (2022), Numero Vol 15, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15030781

Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar

Autori: Jakob Valtl; Vadim Issakov
Pubblicato in: IEEE Access, Numero vol. 10, 2022, Pagina/e 114092-114102, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3218349

Neural network quantization in federated learning at the edge

Autori: Tonellotto, Nicola; Gotta, Alberto; Nardini, Franco Maria; Gadler, Daniele; Silvestri, Fabrizio
Pubblicato in: Information Sciences, 2021, ISSN 0020-0255
Editore: Elsevier BV
DOI: 10.1016/j.ins.2021.06.039

Federated Reservoir Computing Neural Networks

Autori: Davide Bacciu; Daniele Di Sarli; Pouria Faraji; Claudio Gallicchio; Alessio Micheli
Pubblicato in: IJCNN, Numero 4, 2021, ISSN 2161-4407
Editore: IEEE
DOI: 10.1109/ijcnn52387.2021.9534035

WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks

Autori: Gabriele Mencagli, Massimo Torquati, Andrea Cardaci, Alessandra Fais, Luca Rinaldi, Marco Danelutto
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 32/11, 2021, Pagina/e 2748-2763, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3073970

Towards a security-driven automotive development lifecycle

Autori: Dobaj J., Macher G., Ekert D., Riel A.
Pubblicato in: Journal of Software: Evolution and Process, Numero 35(1), 2021, ISSN 2047-7481
Editore: John Wiley and Sons Ltd
DOI: 10.1002/smr.2407

Continual learning for recurrent neural networks: An empirical evaluation

Autori: Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Pubblicato in: Neural Networks, Numero 143, 2021, Pagina/e 607-627, ISSN 0893-6080
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2021.07.021

On the effectiveness of Gated Echo State Networks for data exhibiting long-term dependencies

Autori: D. Di Sarli, C. Gallicchio, A. Micheli
Pubblicato in: Computer Science and Information System, 2022, ISSN 1820-0214
Editore: ComSIS Consortium
DOI: 10.2298/csis210218063d

Cybersecurity Threat Analysis, Risk Assessment and Design Patterns for Automotive Networked Embedded Systems: A Case Study

Autori: Dobaj J., Ekert D., Stolfa J., Stolfa S., Macher G., Messnarz R.
Pubblicato in: Journal of Universal Computer Science, Numero vol. 27, no. 8, 2021, Pagina/e 830-849, ISSN 0948-6968
Editore: Springer Verlag
DOI: 10.3897/jucs.72367

Safety and Robustness for Deep Neural Networks: An Automotive Use Case

Autori: Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Schmittner, Christoph
Pubblicato in: Proceedings of SAFECOMP 2023 Workshop, 2023
Editore: Springer
DOI: 10.5281/zenodo.8183783

Continual Learning with Echo State Networks

Autori: Andrea Cossu; Davide Bacciu; Antonio Carta; Claudio Gallicchio; Vincenzo Lomonaco
Pubblicato in: 2021
Editore: i6doc
DOI: 10.5281/zenodo.5164243

Impact of Network Topology on the Convergence of Decentralized Federated Learning Systems

Autori: Kavalionak, Hanna; Carlini, Emanuele; Dazzi, Patrizio; Ferrucci, Luca; Mordacchini, Matteo; Coppola, Massimo
Pubblicato in: 2021 IEEE Symposium on Computers and Communications (ISCC), Athens, Greece, 2021, 2021
Editore: IEEE
DOI: 10.1109/iscc53001.2021.9631460

The Cybersecurity Extension for ASPICE - A View from ASPICE Assessors

Autori: Schlager C., Macher G.
Pubblicato in: In: Yilmaz, M., Clarke, P., Messnarz, R., Reiner, M. (eds) Systems, Software and Services Process Improvement. EuroSPI 2021. Communications in Computer and Information Science, Numero vol 1442, 2021
Editore: Springer Cham
DOI: 10.1007/978-3-030-85521-5_27

Online federated learning with imbalanced class distribution

Autori: Konstantinos Giorgas, Iraklis Varlamis
Pubblicato in: 24th Pan-Hellenic Conference on Informatics, 2020, Pagina/e 91-95, ISBN 9781450388979
Editore: ACM
DOI: 10.1145/3437120.3437282

Autonomous Platform based on Small-Scale Car for Versatile Data Collection and Algorithm Verification

Autori: Valtl, Jakob; Mendez, Javier; Pagalajar Cuellar, Manuel; Issakov, Vadim
Pubblicato in: 2021
Editore: IEEE
DOI: 10.5281/zenodo.4665844

A Novel Approach to Distributed Model Aggregation Using Apache Kafka

Autori: Bano, Saira; Carlini, Emanuele; Cassara', Pietro; Coppola, Massimo; Dazzi, Patrizio; Gotta, Alberto
Pubblicato in: FRAME '22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, Numero 3, 2022
Editore: ACM Digital Library
DOI: 10.1145/3526059.3533621

Investigation for the Need of Traditional Data-Preprocessing when Applying Artificial Neural Networks to FMCW-Radar Data

Autori: Jakob Valtl; Javier Mendez; Gianfranco Mauro; Antonio Cabrera; Vadim Issakov
Pubblicato in: Proc. 29th International Conference on Systems, Signals and Image Processing “IWSSIP 2022, Numero 1, 2022, ISBN 978-1-6654-9578-3
Editore: Springer
DOI: 10.1109/IWSSIP55020.2022.9854472

A Rapid Prototyping System, Intelligent Watchdog and Gateway Tool for Automotive Applications

Autori: Maid Dzambic, Christoph Kreuzberger, Omar Veledar, Georg Macher
Pubblicato in: 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C), 2021, Pagina/e 149-154, ISBN 978-1-6654-3910-7
Editore: IEEE
DOI: 10.1109/icsa-c52384.2021.00037

Prediction of Driver's Stress Affection in Autonomous Driving Simulations

Autori: Valerio De Caro; Herbert Danzinger; Claudio Gallicchio; Clemens Könczöl; Vincenzo Lomonaco; Mina Marmpena; Sevasti Politi; Omar Veledar; Davide Bacciu
Pubblicato in: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 2023, ISBN 979-8-3503-0261-5
Editore: IEEE
DOI: 10.1109/icasspw59220.2023.10193353

Residual Reservoir Computing Neural Networks for Time-series Classification

Autori: Ceni, Andrea, & Gallicchio, Claudio
Pubblicato in: Proceedings of ESANN 2023, 2023
Editore: i6doc
DOI: 10.5281/zenodo.8233789

Towards Functional Safety Compliance of Recurrent Neural NetworkS

Autori: Davide Bacciu, Antonio Carta, Daniele Di Sarli, Claudio Gallicchio, Vincenzo Lomonaco, Salvatore Petroni
Pubblicato in: Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy, 2021
Editore: EAI
DOI: 10.4108/eai.20-11-2021.2314139

KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles

Autori: Bano, Saira; Tonellotto, Nicola; Cassarà, Pietro; Gotta, Alberto
Pubblicato in: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Numero 9, 2022
Editore: IEEE
DOI: 10.1109/PerComWorkshops53856.2022.9767510

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

Autori: Bacciu, Davide; Akarmazyan, Siranush; Armengaud, Eric; Bacco, Manlio; Bravos, George; Calandra, Calogero; Carlini, Emanuele; Carta, Antonio; Cassara, Pietro; Coppola, Massimo; Davalas, Charalampos; Dazzi, Patrizio; Degennaro, Maria Carmela; Di Sarli, Daniele; Dobaj, Jürgen; Gallicchio, Claudio; Girbal, Sylvain; Gotta, Alberto; Groppo, Riccardo; Lomonaco, Vincenzo; Macher, Georg; Mazzei, Daniele;
Pubblicato in: Proceedings of the 2021 IEEE International Conference on Omni-layer Intelligent systems, 2021
Editore: IEEE
DOI: 10.5281/zenodo.5293769

Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices

Autori: Gabriele Mencagli; Dalvan Griebler; Marco Danelutto
Pubblicato in: 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Valladolid, Spain, 2022, 2022, Pagina/e 34-38
Editore: IEEE
DOI: 10.1109/pdp55904.2022.00014

Safety & Security monitoring convergence at the dawn of Open Hardware

Autori: Sylvain Girbal; Jimmy Le Rhun; Daniel Gracia Pérez; David Faura
Pubblicato in: 11th European Conference on Embedded Real Time Software and Systems (ERTS 2022)., 2022
Editore: SEE and 3AF associations
DOI: 10.5281/zenodo.7065780

A driving profile recommender system for autonomous driving using sensor data and reinforcement learning

Autori: C. Chronis, C. Sardianos, I. Varlamis, D. Michail, K. Tserpes
Pubblicato in: PCI 2021: 25th Pan-Hellenic Conference on Informatics, 2021
Editore: ACM DL
DOI: 10.1145/3503823.3503830

Communication-Efficient Ridge Regression in Federated Echo State Networks

Autori: Valerio De Caro; Antonio Di Mauro; Davide Bacciu; Claudio Gallicchio
Pubblicato in: Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023), 2023
Editore: i6doc
DOI: 10.5281/zenodo.8091758

Diversifying non-dissipative Reservoir Computing dynamics.

Autori: Gallicchio C.
Pubblicato in: ICANN 2023, 32nd International Conference on Artificial Neural Networks, Greece from 26- 29 September 2023, 2023
Editore: Springer
DOI: 10.5281/zenodo.8233784

Measuring trust in automated driving using a multi-level approach to human factors

Autori: Clement P., Danzinger H., Veledar O., Koenczoel C., Macher G., Eichberger A.
Pubblicato in: 24th Euromicro Conference on Digital System Design (DSD), Palermo, Italy, 2021,, 2021, Pagina/e 410-417
Editore: IEEE
DOI: 10.1109/dsd53832.2021.00069

Input Routed Echo State Networks

Autori: Argentieri L., Gallicchio C., Micheli A.
Pubblicato in: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022
Editore: i6doc
DOI: 10.14428/esann/2022.es2022-90

Decentralized Plasticity in Reservoir Dynamical Networks for Pervasive Environments

Autori: Valerio De Caro; Davide Bacciu; Claudio Gallicchio
Pubblicato in: ICML Workshop on Localized Learning (LLW), 2023
Editore: Cambridge MA: JMLR
DOI: 10.5281/zenodo.8091716

Frequency Modulated Continuous Wave Radar-Based Navigation Algorithm using Artificial Neural Network for Autonomous Driving

Autori: J. Valtl, V. Issakov
Pubblicato in: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, 2021
Editore: IEEE
DOI: 10.1109/itsc48978.2021.9564750

Enabling Model-Based Security Engineering - Automated Attack Tree Generation in ThreatGet

Autori: Christoph Schmittner; Sebastian Chlup; Korbinian Christl
Pubblicato in: in 4th Workshop on Management for Industry 5.0 (MFI5.0), at IFIP/IEEE NOMS 2022 - Network Operations and Management 2022 Symposium, 8–12 May 2023, 2023
Editore: IEEE
DOI: 10.5281/zenodo.8233809

A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving

Autori: Charalampos Davalas; Dimitrios Michail; Christos Diou; Iraklis Varlamis; Konstantinos Tserpes
Pubblicato in: Proceedings of the 1st International Workshop on Computational Intel- ligence for Process Mining (CI4PM) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI), co-located with the IEEE World Congress on Computational Intelligence (WCCI), Padua, Italy, 18–23 July 2022, 2022
Editore: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.7068073

Federated Adaptation of Reservoirs via Intrinsic Plasticity

Autori: Valerio De Caro; Claudio Gallicchio; Davide Bacciu
Pubblicato in: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Numero 1, 2022
Editore: i6doc
DOI: 10.14428/esann/2022.ES2022-98

Dependable Integration Concepts for Human-Centric AI-Based Systems

Autori: Georg Macher; Siranush Akarmazyan; Eric Armengaud; Davide Bacciu; Calogero Calandra; Herbert Danzinger; Patrizio Dazzi; Charalampos Davalas; Maria Carmela De Gennaro; Angela Dimitriou; Juergen Dobaj; Maid Dzambic; Lorenzo Giraudi; Sylvain Girbal; Dimitrios Michail; Roberta Peroglio; Rosaria Potenza; Farank Pourdanesh; Matthias Seidl; Christos Sardianos; Konstantinos Tserpes; Jakob Valtl; Iraklis V
Pubblicato in: SAFECOMP Workshops, 2021, ISBN 978-3-030-83905-5
Editore: Springer Cham
DOI: 10.1007/978-3-030-83906-2_1

Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks

Autori: Bano, Saira; Machumilane, Achilles; Valerio, Lorenzo; Cassará, Pietro; Gotta, Alberto
Pubblicato in: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), Numero 1, 2022
Editore: IEEE
DOI: 10.1109/MELECON53508.2022.9843104

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

Autori: Decaro, Valerio; Bano, Saira; Machumilane, Achilles; Gotta, Alberto; Cassarà, Pietro; Carta, Antonio; Semola, Rudy; Sardianos. Christos; Chronis, Christos; Varlamis, Iraklis; Tserpes, Konstantinos; Lomonaco, Vincenzo; Gallicchio, Claudio; Bacciu, Davide
Pubblicato in: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2022, 2022, Pagina/e 91-93
Editore: IEEE
DOI: 10.1109/percomworkshops53856.2022.9767501

Sparsity in Reservoir Computing Neural Networks

Autori: Claudio Gallicchio
Pubblicato in: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2020, Pagina/e 1-7, ISBN 978-1-7281-6799-2
Editore: IEEE
DOI: 10.1109/inista49547.2020.9194611

Phase Transition Adaptation

Autori: Gallicchio, Claudio; Micheli, Alessio; Silvestri, Luca
Pubblicato in: 2021
Editore: IEEE
DOI: 10.5281/zenodo.5256887

AI-Toolkit: a Microservices Architecture for Low-Code Decentralized Machine Intelligence

Autori: 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
Pubblicato in: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, 2023, Pagina/e 1-5
Editore: IEEE
DOI: 10.1109/icasspw59220.2023.10193222

Architectural Patterns for Integrating AI Technology into Safety-Critical Systems

Autori: Dzambic M., Dobaj J., Seidl M., Macher G.
Pubblicato in: EuroPLoP'21: European Conference on Pattern Languages of Programs 2021 Graz Austria July 7 - 11, 2021, 2021, ISBN 978-1-4503-8997-6
Editore: Association for Computing Machinery
DOI: 10.1145/3489449.3490014

Actor-Critic Scheduling for Path-Aware Air-to-Ground Multipath Multimedia Delivery

Autori: Achilles Machumilane; Alberto Gotta; Pietro Cassara; Giuseppe Amato; Claudio Gennaro
Pubblicato in: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, 2022, 2022
Editore: IEEE
DOI: 10.1109/VTC2022-Spring54318.2022.9860760

Improving Fairness via Intrinsic Plasticity in Echo State Networks

Autori: Andrea Ceni; Davide Bacciu; Valerio De Caro; Claudio Gallicchio; Luca Oneto
Pubblicato in: ESANN 2023 - proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Numero 3, 2023
Editore: i6doc
DOI: 10.5281/zenodo.8091736

Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding

Autori: Antonio Carta; Giacomo Carfì; Valerio De Caro; Claudio Gallicchio
Pubblicato in: Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI), co-located with the IEEE World Congress on Computational Intelligence (WCCI), Padua, Italy, 18–23 July 2022, 2022
Editore: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.8091088

Minimal Euler state network

Autori: Gallicchio C.
Pubblicato in: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, 2022
Editore: IEEE
DOI: 10.1109/ijcnn55064.2022.9892517

Reservoir Computing by Discretizing ODEs

Autori: C. Gallicchio
Pubblicato in: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learnin, 2021, ISBN 978287587082
Editore: ESANN
DOI: 10.14428/esann/2021.es2021-101

FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources

Autori: Bano, Saira; Tonellotto, Nicola; Cassarà, Pietro; Gotta, Alberto
Pubblicato in: AI6G’22: First International Workshop on Artificial Intelligence in beyond 5G and 6G Wireless Networks, July 21, 2022, Padua, Italy, Numero 2, 2022
Editore: CEUR-WS.org
DOI: 10.5281/zenodo.7018495

Computationally Efficient Rehearsal for Online Continual Learning

Autori: Charalampos Davalas; Dimitrios Michail; Christos Diou; Iraklis Varlamis; Konstantinos Tserpes
Pubblicato in: Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part IIIComputationally Efficient Rehearsal for Online Continual Learning, Numero 7, 2022
Editore: ACM
DOI: 10.1007/978-3-031-06433-3_4

Decentralized federated learning and network topologies: an empirical study on convergence

Autori: Kavalionak H.; Carlini E.; Dazzi P.; Ferrucci L.; Mordacchini M.; Coppola M.
Pubblicato in: SEBD 2022 - 30th Italian Symposium on Advanced Database Systems, pp. 317–324, Tirrenia, Pisa, Italy, 19-22/06/2022, 2022
Editore: CEUR Workshop Proceedings (CEUR-WS.org)

Lachesis: a middleware for customizing OS scheduling of stream processing queries

Autori: Dimitris Palyvos-Giannas; Gabriele Mencagli; Papatriantafilou, Marina; Vincenzo Gulisano
Pubblicato in: Middleware '21: Proceedings of the 22nd International Middleware Conference, 2021
Editore: Association for Computing Machinery
DOI: 10.1145/3464298.3493407

Orthogonality in Additive Reservoir Computing

Autori: Ceni A., Gallicchio C.
Pubblicato in: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022
Editore: i6doc
DOI: 10.14428/esann/2022.es2022-47

Gated Echo State Networks: a preliminary study

Autori: Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
Pubblicato in: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2020, Pagina/e 1-5, ISBN 978-1-7281-6799-2
Editore: IEEE
DOI: 10.1109/inista49547.2020.9194681

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

Autori: Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli
Pubblicato in: Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II, Numero 12862, 2021, Pagina/e 168-179, ISBN 978-3-030-85098-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-85099-9_14

Autonomous Vehicle Systems in Intelligent Interconnected Transportation Networks

Autori: Chronis C., Tserpes K., Varlamis I.
Pubblicato in: Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems: Towards a Green Economy and Sustainable Development, 2023
Editore: Wiley-IEEE Press
DOI: 10.5281/zenodo.8272141

Practical Recommendations for Replay-Based Continual Learning Methods

Autori: Merlin, G., Lomonaco, V., Cossu, A., Carta, A., Bacciu, D.
Pubblicato in: Part of the Lecture Notes in Computer Science book series (LNCS,volume 13374), 2022
Editore: Springer
DOI: 10.1007/978-3-031-13324-4_47

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