Francesco Ventura
Francesco Ventura
PhD student at DAUIN - Politecnico di Torino
Verified email at polito.it
Title
Cited by
Cited by
Year
iSTEP, an integrated Self-Tuning Engine for Predictive maintenance in Industry 4.0
D Apiletti, C Barberis, T Cerquitelli, A Macii, E Macii, M Poncino, F Ventura
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
262018
Self-tuning techniques for large scale cluster analysis on textual data collections
E Di Corso, T Cerquitelli, F Ventura
Proceedings of the Symposium on Applied Computing, 771-776, 2017
232017
A cloud-to-edge approach to support predictive analytics in robotics industry
S Panicucci, N Nikolakis, T Cerquitelli, F Ventura, S Proto, E Macii, ...
Electronics 9 (3), 492, 2020
172020
A new unsupervised predictive-model self-assessment approach that SCALEs
F Ventura, S Proto, D Apiletti, T Cerquitelli, S Panicucci, E Baralis, E Macii, ...
2019 IEEE International Congress on Big Data (BigDataCongress), 144-148, 2019
132019
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes
S Proto, F Ventura, D Apiletti, T Cerquitelli, E Baralis, E Macii, A Macii
2019 IEEE International Congress on Big Data (BigDataCongress), 139-143, 2019
112019
Towards a real-time unsupervised estimation of predictive model degradation
T Cerquitelli, S Proto, F Ventura, D Apiletti, E Baralis
Proceedings of Real-Time Business Intelligence and Analytics, 1-6, 2019
102019
Discovering electricity consumption over time for residential consumers through cluster analysis
T Cerquitelli, G Chicco, E Di Corso, F Ventura, G Montesano, A Del Pizzo, ...
2018 International Conference on Development and Application Systems (DAS …, 2018
102018
Data miners' little helper: data transformation activity cues for cluster analysis on document collections
T Cerquitelli, E Di Corso, F Ventura, S Chiusano
Proceedings of the 7th International Conference on Web Intelligence, Mining …, 2017
92017
Useful ToPIC: Self-tuning strategies to enhance latent Dirichlet allocation
S Proto, E Di Corso, F Ventura, T Cerquitelli
2018 IEEE International Congress on Big Data (BigData Congress), 33-40, 2018
82018
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection
E Di Corso, F Ventura, T Cerquitelli
2017 IEEE International Conference on Big Data (Big Data), 3722-3726, 2017
82017
Clustering-based assessment of residential consumers from hourly-metered data
T Cerquitelli, G Chicco, E Di Corso, F Ventura, G Montesano, M Armiento, ...
2018 International Conference on Smart Energy Systems and Technologies (SEST …, 2018
72018
Black-box model explained through an assessment of its interpretable features
F Ventura, T Cerquitelli, F Giacalone
European Conference on Advances in Databases and Information Systems, 138-149, 2018
62018
What's in the box? Explaining the black-box model through an evaluation of its interpretable features
F Ventura, T Cerquitelli
arXiv preprint arXiv:1908.04348, 2019
42019
Enabling predictive analytics for smart manufacturing through an IIoT platform
T Cerquitelli, N Nikolakis, P Bethaz, S Panicucci, F Ventura, E Macii, ...
IFAC-PapersOnLine 53 (3), 179-184, 2020
32020
Automating concept-drift detection by self-evaluating predictive model degradation
T Cerquitelli, S Proto, F Ventura, D Apiletti, E Baralis
arXiv preprint arXiv:1907.08120, 2019
32019
DSLE: A Smart Platform for Designing Data Science Competitions
G Attanasio, F Giobergia, A Pasini, F Ventura, E Baralis, L Cagliero, ...
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
22020
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
F Ventura, S Greco, D Apiletti, T Cerquitelli
arXiv preprint arXiv:2106.06697, 2021
2021
Expand your Training Limits! Generating Training Data for ML-based Data Management
F Ventura, Z Kaoudi, JA Quiané-Ruiz, V Markl
Proceedings of the 2021 International Conference on Management of Data, 1865 …, 2021
2021
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes
T Cerquitelli, F Ventura, D Apiletti, E Baralis, E Macii, M Poncino
Expert Systems with Applications, 115269, 2021
2021
Predictive Analytics in Robotic Industry
S Panicucci, L Morabito, C Napione, F Ventura, M Ippolito, N Nikolakis
Predictive Maintenance in Smart Factories, 99-119, 2021
2021
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Articles 1–20