A computing toolkit for building efficient autonomous applications leveraging humanistic intelligence

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

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

Auteurs: Andrea Valenti, Michele Barsotti, Davide Bacciu, Luca Ascari
Publié dans: Bioengineering, Numéro 8/2, 2021, Page(s) 21, ISSN 2306-5354
Éditeur: MDPI
DOI: 10.3390/bioengineering8020021

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark

Auteurs: A. Carta, A., Cossu, F. Errica, D.Bacciu
Publié dans: Frontiers in Artificial Intelligence, 2022, ISSN 2624-8212
Éditeur: Frontiers
DOI: 10.3389/frai.2022.824655

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

Auteurs: Davide Bacciu, Gioele Bertoncini, Davide Morelli
Publié dans: Neural Computing and Applications, 2021, ISSN 0941-0643
Éditeur: Springer Verlag
DOI: 10.1007/s00521-020-05600-4

Federated Feature Selection for Cyber-Physical Systems of Systems

Auteurs: Cassará, Pietro; Gotta, Alberto; Valerio, Lorenzo
Publié dans: IEEE Transactions on Vehicular Technology, Numéro 9, 2022, ISSN 1939-9359
Éditeur: IEEE
DOI: 10.1109/tvt.2022.3178612

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

Auteurs: Maycon Viana Bordin, Dalvan Griebler, Gabriele Mencagli, Claudio F. R. Geyer, Luiz Gustavo L. Fernandes
Publié dans: IEEE Access, Numéro 8, 2020, Page(s) 222900-222917, ISSN 2169-3536
Éditeur: 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

Auteurs: Saira Bano; Nicola Tonellotto; Pietro Cassara; Alberto Gotta
Publié dans: Computer Communications, Numéro Volume 205, 1 May 2023, 2023, Page(s) 45-57, ISSN 0140-3664
Éditeur: Elsevier BV
DOI: 10.1016/j.comcom.2023.04.010

Is Class-Incremental Enough for Continual Learning?

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

Architectural richness in deep reservoir computing

Auteurs: Gallicchio, Claudio; Micheli, Alessio
Publié dans: Neural Computing and Applications, Numéro 9, 2022, ISSN 1433-3058
Éditeur: Springer
DOI: 10.1007/s00521-021-06760-7

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

Auteurs: Philipp Clement; Omar Veledar; Clemens Könczöl; Herbert Danzinger; Markus Posch; Arno Eichberger; Georg Macher
Publié dans: Energies, (2022), Numéro Vol 15, 2022, ISSN 1996-1073
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15030781

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

Auteurs: Jakob Valtl; Vadim Issakov
Publié dans: IEEE Access, Numéro vol. 10, 2022, Page(s) 114092-114102, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3218349

Neural network quantization in federated learning at the edge

Auteurs: Tonellotto, Nicola; Gotta, Alberto; Nardini, Franco Maria; Gadler, Daniele; Silvestri, Fabrizio
Publié dans: Information Sciences, 2021, ISSN 0020-0255
Éditeur: Elsevier BV
DOI: 10.1016/j.ins.2021.06.039

Federated Reservoir Computing Neural Networks

Auteurs: Davide Bacciu; Daniele Di Sarli; Pouria Faraji; Claudio Gallicchio; Alessio Micheli
Publié dans: IJCNN, Numéro 4, 2021, ISSN 2161-4407
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9534035

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

Auteurs: Gabriele Mencagli, Massimo Torquati, Andrea Cardaci, Alessandra Fais, Luca Rinaldi, Marco Danelutto
Publié dans: IEEE Transactions on Parallel and Distributed Systems, Numéro 32/11, 2021, Page(s) 2748-2763, ISSN 1045-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2021.3073970

Towards a security-driven automotive development lifecycle

Auteurs: Dobaj J., Macher G., Ekert D., Riel A.
Publié dans: Journal of Software: Evolution and Process, Numéro 35(1), 2021, ISSN 2047-7481
Éditeur: John Wiley and Sons Ltd
DOI: 10.1002/smr.2407

Continual learning for recurrent neural networks: An empirical evaluation

Auteurs: Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Publié dans: Neural Networks, Numéro 143, 2021, Page(s) 607-627, ISSN 0893-6080
Éditeur: 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

Auteurs: D. Di Sarli, C. Gallicchio, A. Micheli
Publié dans: Computer Science and Information System, 2022, ISSN 1820-0214
Éditeur: ComSIS Consortium
DOI: 10.2298/csis210218063d

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

Auteurs: Dobaj J., Ekert D., Stolfa J., Stolfa S., Macher G., Messnarz R.
Publié dans: Journal of Universal Computer Science, Numéro vol. 27, no. 8, 2021, Page(s) 830-849, ISSN 0948-6968
Éditeur: Springer Verlag
DOI: 10.3897/jucs.72367

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

Auteurs: Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Schmittner, Christoph
Publié dans: Proceedings of SAFECOMP 2023 Workshop, 2023
Éditeur: Springer
DOI: 10.5281/zenodo.8183783

Continual Learning with Echo State Networks

Auteurs: Andrea Cossu; Davide Bacciu; Antonio Carta; Claudio Gallicchio; Vincenzo Lomonaco
Publié dans: 2021
Éditeur: i6doc
DOI: 10.5281/zenodo.5164243

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

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

The Cybersecurity Extension for ASPICE - A View from ASPICE Assessors

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

Online federated learning with imbalanced class distribution

Auteurs: Konstantinos Giorgas, Iraklis Varlamis
Publié dans: 24th Pan-Hellenic Conference on Informatics, 2020, Page(s) 91-95, ISBN 9781450388979
Éditeur: ACM
DOI: 10.1145/3437120.3437282

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

Auteurs: Valtl, Jakob; Mendez, Javier; Pagalajar Cuellar, Manuel; Issakov, Vadim
Publié dans: 2021
Éditeur: IEEE
DOI: 10.5281/zenodo.4665844

A Novel Approach to Distributed Model Aggregation Using Apache Kafka

Auteurs: Bano, Saira; Carlini, Emanuele; Cassara', Pietro; Coppola, Massimo; Dazzi, Patrizio; Gotta, Alberto
Publié dans: FRAME '22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge, Numéro 3, 2022
Éditeur: 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

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

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

Auteurs: Maid Dzambic, Christoph Kreuzberger, Omar Veledar, Georg Macher
Publié dans: 2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C), 2021, Page(s) 149-154, ISBN 978-1-6654-3910-7
Éditeur: IEEE
DOI: 10.1109/icsa-c52384.2021.00037

Prediction of Driver's Stress Affection in Autonomous Driving Simulations

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

Residual Reservoir Computing Neural Networks for Time-series Classification

Auteurs: Ceni, Andrea, & Gallicchio, Claudio
Publié dans: Proceedings of ESANN 2023, 2023
Éditeur: i6doc
DOI: 10.5281/zenodo.8233789

Towards Functional Safety Compliance of Recurrent Neural NetworkS

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

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

Auteurs: Bano, Saira; Tonellotto, Nicola; Cassarà, Pietro; Gotta, Alberto
Publié dans: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Numéro 9, 2022
Éditeur: IEEE
DOI: 10.1109/PerComWorkshops53856.2022.9767510

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

Auteurs: 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;
Publié dans: Proceedings of the 2021 IEEE International Conference on Omni-layer Intelligent systems, 2021
Éditeur: IEEE
DOI: 10.5281/zenodo.5293769

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

Auteurs: Gabriele Mencagli; Dalvan Griebler; Marco Danelutto
Publié dans: 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Valladolid, Spain, 2022, 2022, Page(s) 34-38
Éditeur: IEEE
DOI: 10.1109/pdp55904.2022.00014

Safety & Security monitoring convergence at the dawn of Open Hardware

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

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

Auteurs: C. Chronis, C. Sardianos, I. Varlamis, D. Michail, K. Tserpes
Publié dans: PCI 2021: 25th Pan-Hellenic Conference on Informatics, 2021
Éditeur: ACM DL
DOI: 10.1145/3503823.3503830

Communication-Efficient Ridge Regression in Federated Echo State Networks

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

Diversifying non-dissipative Reservoir Computing dynamics.

Auteurs: Gallicchio C.
Publié dans: ICANN 2023, 32nd International Conference on Artificial Neural Networks, Greece from 26- 29 September 2023, 2023
Éditeur: Springer
DOI: 10.5281/zenodo.8233784

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

Auteurs: Clement P., Danzinger H., Veledar O., Koenczoel C., Macher G., Eichberger A.
Publié dans: 24th Euromicro Conference on Digital System Design (DSD), Palermo, Italy, 2021,, 2021, Page(s) 410-417
Éditeur: IEEE
DOI: 10.1109/dsd53832.2021.00069

Input Routed Echo State Networks

Auteurs: Argentieri L., Gallicchio C., Micheli A.
Publié dans: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022
Éditeur: i6doc
DOI: 10.14428/esann/2022.es2022-90

Decentralized Plasticity in Reservoir Dynamical Networks for Pervasive Environments

Auteurs: Valerio De Caro; Davide Bacciu; Claudio Gallicchio
Publié dans: ICML Workshop on Localized Learning (LLW), 2023
Éditeur: Cambridge MA: JMLR
DOI: 10.5281/zenodo.8091716

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

Auteurs: J. Valtl, V. Issakov
Publié dans: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, 2021
Éditeur: IEEE
DOI: 10.1109/itsc48978.2021.9564750

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

Auteurs: Christoph Schmittner; Sebastian Chlup; Korbinian Christl
Publié dans: 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
Éditeur: IEEE
DOI: 10.5281/zenodo.8233809

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

Auteurs: Charalampos Davalas; Dimitrios Michail; Christos Diou; Iraklis Varlamis; Konstantinos Tserpes
Publié dans: 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
Éditeur: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.7068073

Federated Adaptation of Reservoirs via Intrinsic Plasticity

Auteurs: Valerio De Caro; Claudio Gallicchio; Davide Bacciu
Publié dans: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Numéro 1, 2022
Éditeur: i6doc
DOI: 10.14428/esann/2022.ES2022-98

Dependable Integration Concepts for Human-Centric AI-Based Systems

Auteurs: 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
Publié dans: SAFECOMP Workshops, 2021, ISBN 978-3-030-83905-5
Éditeur: Springer Cham
DOI: 10.1007/978-3-030-83906-2_1

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

Auteurs: Bano, Saira; Machumilane, Achilles; Valerio, Lorenzo; Cassará, Pietro; Gotta, Alberto
Publié dans: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), Numéro 1, 2022
Éditeur: IEEE
DOI: 10.1109/MELECON53508.2022.9843104

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

Auteurs: 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
Publié dans: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2022, 2022, Page(s) 91-93
Éditeur: IEEE
DOI: 10.1109/percomworkshops53856.2022.9767501

Sparsity in Reservoir Computing Neural Networks

Auteurs: Claudio Gallicchio
Publié dans: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2020, Page(s) 1-7, ISBN 978-1-7281-6799-2
Éditeur: IEEE
DOI: 10.1109/inista49547.2020.9194611

Phase Transition Adaptation

Auteurs: Gallicchio, Claudio; Micheli, Alessio; Silvestri, Luca
Publié dans: 2021
Éditeur: IEEE
DOI: 10.5281/zenodo.5256887

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

Auteurs: 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
Publié dans: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, 2023, Page(s) 1-5
Éditeur: IEEE
DOI: 10.1109/icasspw59220.2023.10193222

Architectural Patterns for Integrating AI Technology into Safety-Critical Systems

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

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

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

Improving Fairness via Intrinsic Plasticity in Echo State Networks

Auteurs: Andrea Ceni; Davide Bacciu; Valerio De Caro; Claudio Gallicchio; Luca Oneto
Publié dans: ESANN 2023 - proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Numéro 3, 2023
Éditeur: i6doc
DOI: 10.5281/zenodo.8091736

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

Auteurs: Antonio Carta; Giacomo Carfì; Valerio De Caro; Claudio Gallicchio
Publié dans: 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
Éditeur: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.8091088

Minimal Euler state network

Auteurs: Gallicchio C.
Publié dans: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, 2022
Éditeur: IEEE
DOI: 10.1109/ijcnn55064.2022.9892517

Reservoir Computing by Discretizing ODEs

Auteurs: C. Gallicchio
Publié dans: ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learnin, 2021, ISBN 978287587082
Éditeur: ESANN
DOI: 10.14428/esann/2021.es2021-101

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

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

Computationally Efficient Rehearsal for Online Continual Learning

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

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

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

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

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

Orthogonality in Additive Reservoir Computing

Auteurs: Ceni A., Gallicchio C.
Publié dans: ESANN 2022 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022
Éditeur: i6doc
DOI: 10.14428/esann/2022.es2022-47

Gated Echo State Networks: a preliminary study

Auteurs: Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli
Publié dans: 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2020, Page(s) 1-5, ISBN 978-1-7281-6799-2
Éditeur: IEEE
DOI: 10.1109/inista49547.2020.9194681

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

Auteurs: Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli
Publié dans: Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II, Numéro 12862, 2021, Page(s) 168-179, ISBN 978-3-030-85098-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-85099-9_14

Autonomous Vehicle Systems in Intelligent Interconnected Transportation Networks

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

Practical Recommendations for Replay-Based Continual Learning Methods

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

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