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Scopus Author ID: 57190032367

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Employment (2)

Istituto Dalle Molle di Studi sull'Intelligenza Artificiale: Lugano, Ticino, CH

2016-03-01 to present | TitleResearcher in Software Engineering (Imprecise Probability Group)
Employment
Source: Self-asserted source
Claudio Bonesana

Scuola universitaria professionale della Svizzera italiana: Manno, Ticino, CH

2013-09-01 to present | Researcher (Department of Innovative Technologies)
Employment
Source: Self-asserted source
Claudio Bonesana

Education and qualifications (2)

Scuola Universitaria Professionale della Svizzera Italiana: Bioggio, CH

2016-03-01 to present | Ricercatore (Tecnologie Innovative)
Qualification
Source: Self-asserted source
Claudio Bonesana

Istituto Dalle Molle di Studi sull'Intelligenza Artificiale: Lugano, CH

2016-03-01 to present | Machine Learning Engineer
Qualification
Source: Self-asserted source
Claudio Bonesana

Works (17)

Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework

arXiv
2024 | Other
DOI: 10.48550/arXiv.2409.13473
EID:

2-s2.0-85205661723

Part of ISSN: 23318422
Contributors: Bonesana, C.; Malpetti, D.; Mitrović, S.; Mangili, F.; Azzimonti, L.
Source: Self-asserted source
Claudio Bonesana via Scopus - Elsevier

Rubric-based learner modelling via noisy gates Bayesian networks for computational thinking skills assessment

Journal of Communications Software and System
2023 | Journal article
DOI: 10.24138/jcomss-2022-0169
DOI: 10.48550/arXiv.2408.01221
EID:

2-s2.0-85202361396

Part of ISSN: 23318422
EID:

2-s2.0-85154600458

Part of ISSN: 18466079 18456421
Part of ISSN: 1845-6421
Contributors: Adorni, G.; Mangili, F.; Piatti, A.; Bonesana, C.; Antonucci, A.
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 4)‎

Modelling assessment rubrics through Bayesian networks: a pragmatic approach

Proceedings of 2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
2022 | Journal article
DOI: 10.23919/SoftCOM55329.2022.9911432
DOI: 10.48550/arXiv.2209.05467
EID:

2-s2.0-85141649118

Part of ISBN: 9789532901177
EID:

2-s2.0-85138499175

Part of ISSN: 23318422
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 4)‎

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates

The International FLAIRS Conference Proceedings
2022-05-04 | Journal article
DOI: 10.48550/arXiv.2409.04102
DOI: 10.32473/flairs.v35i.130692
EID:

2-s2.0-85204657777

Part of ISSN: 23318422
Part of ISSN: 2334-0762
EID:

2-s2.0-85131130731
Contributors: Alessandro Antonucci; Francesca Mangili; Claudio Bonesana; Giorgia Adorni
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 3)‎

ADAPQUEST: a software for web-based adaptive questionnaires based on Bayesian networks

AI4EDU: Artificial Intelligence for Education (@ Ijcai2021)
2021 | Conference paper
DOI: 10.48550/arxiv.2112.14476
URI:

https://arxiv.org/abs/2112.14476

EID:

2-s2.0-85169951498

Part of ISSN: 23318422
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 2)‎

A New Score for Adaptive Tests in Bayesian and Credal Networks

2021-05-25 | Preprint
DOI: https://doi.org/10.1007/978-3-030-86772-0_29
DOI: 10.48550/arxiv.2105.12205
ARXIV: arXiv:2105.12205v1
EID:

2-s2.0-85170874118

Part of ISSN: 23318422
EID:

2-s2.0-85116405549

Part of ISBN: 9783030867713
Part of ISSN: 16113349 03029743
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 5)‎

From location tracking to personalized eco-feedback: A framework for geographic information collection, processing and visualization to promote sustainable mobility behaviors

Travel Behaviour and Society
2019-01 | Journal article
DOI: 10.1016/j.tbs.2018.09.005
Part of ISSN: 2214-367X
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 4)‎

Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior

Computer Science-Research and Development
2018 | Journal article
DOI: 10.1007/s00450-017-0375-2
DNB: 1143702220
URN: urn:nbn:de:1111-2017110812270
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 3)‎

EDM Drilling optimisation using stochastic techniques

Procedia CIRP
2018 | Journal article
DOI: 10.1016/j.procir.2017.12.225
EID:

2-s2.0-85044640023

Part of ISSN: 22128271
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 2)‎

Extracting Eco-Feedback from Movement Trajectories

2017 | Journal article
Source: Self-asserted source
Claudio Bonesana

Extracting Eco-Feedback from Movement Trajectories

4th Annual Conference SCCER Mobility 2017
2017 | Conference paper
Source: Self-asserted source
Claudio Bonesana

Extracting eco-feedback information fromautomatic activity tracking to promote energy-efficient individualmobility behavior

2017 | Journal article
Source: Self-asserted source
Claudio Bonesana

Reliable Knowledge-Based Adaptive Tests by Credal Networks

Lecture Notes in Computer Science
2017 | Book chapter
DOI: 10.1007/978-3-319-61581-3_26
Part of ISBN: 9783319615806
Part of ISBN: 9783319615813
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 4)‎

Adaptive testing by Bayesian networks with application to language assessment

Intelligent Tutoring Systems: 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings
2016 | Conference paper
URI:

http://link.springer.com/content/pdf/bbm%3A978-3-319-39583-8%2F1.pdf

EID:

2-s2.0-84976633286

Part of ISBN: 9783319395821
Part of ISSN: 16113349 03029743
Source: Self-asserted source
Claudio Bonesana
grade
Preferred source (of 3)‎

Challenges and Results from Deploying the GoEco! App

2016 | Journal article
Source: Self-asserted source
Claudio Bonesana

Using living labs to investigate the transition towards electric mobility: the e-mobiliTI experiment in Southern Switzerland

2015 | Journal article
Source: Self-asserted source
Claudio Bonesana

Travel Behaviour and Society

Journal article
Source: Self-asserted source
Claudio Bonesana
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