PROTO, STEFANO

PROTO, STEFANO  

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Automating concept-drift detection by self-evaluating predictive model degradation / Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ELENA MARIA. - ELETTRONICO. - arXiv:1907.08120:(2019), pp. 1-5. 1-gen-2019 Tania CerquitelliStefano ProtoFrancesco VenturaDaniele ApilettiElena Baralis 1907.08120.pdf
A cloud-to-edge approach to support predictive analytics in robotics industry / Panicucci, S.; Nikolakis, N.; Cerquitelli, T.; Ventura, F.; Proto, S.; Macii, E.; Makris, S.; Bowden, D.; Becker, P.; O'Mahony, N.; Morabito, L.; Napione, C.; Marguglio, A.; Coppo, G.; Andolina, S.. - In: ELECTRONICS. - ISSN 2079-9292. - STAMPA. - 9:3(2020), pp. 492-513. [10.3390/electronics9030492] 1-gen-2020 Cerquitelli T.Ventura F.Proto S.Macii E. + electronics-09-00492.pdf
A new unsupervised predictive-model self-assessment approach that SCALEs / Ventura, Francesco; Proto, Stefano; Apiletti, Daniele; Cerquitelli, Tania; Panicucci, Simone; Baralis, Elena; Macii, Enrico; Macii, Alberto. - ELETTRONICO. - 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019:(2019), pp. 144-148. ((Intervento presentato al convegno 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019 tenutosi a Milan, Italy nel July 8-13, 2019 [10.1109/BigDataCongress.2019.00033]. 1-gen-2019 Ventura FrancescoProto StefanoApiletti DanieleCerquitelli TaniaBaralis ElenaMacii EnricoMacii Alberto + Comau_BigDataCongress2019-10.pdf
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes / Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Cerquitelli, Tania; Baralis, ELENA MARIA; Macii, Enrico; Macii, Alberto. - ELETTRONICO. - 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019:(2019), pp. 139-143. ((Intervento presentato al convegno 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019 tenutosi a Milan, Italy nel July 8-13, 2019 [10.1109/BigDataCongress.2019.00032]. 1-gen-2019 Stefano ProtoFrancesco VenturaDaniele ApilettiTania CerquitelliElena BaralisEnrico MaciiAlberto Macii whirlpool_BigDataCongress2019-4.pdf
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services / Proto, Stefano; DI CORSO, Evelina; Apiletti, Daniele; Cagliero, Luca; Cerquitelli, Tania; Malnati, Giovanni; Mazzucchi, Davide. - In: IEEE ACCESS. - ISSN 2169-3536. - STAMPA. - 8:(2020), pp. 14953-14964. [10.1109/ACCESS.2020.2966568] 1-gen-2020 Stefano ProtoEvelina Di CorsoDaniele ApilettiLuca CaglieroTania CerquitelliGiovanni Malnati + 08959207.pdf
Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization / DI CORSO, Evelina; Proto, Stefano; Vacchetti, Bartolomeo; Bethaz, Paolo; Cerquitelli, Tania. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 12:10(2022), p. 5125. [10.3390/app12105125] 1-gen-2022 Evelina Di CorsoStefano ProtoBartolomeo VacchettiPaolo BethazTania Cerquitelli Escape_MDPI (1).pdfapplsci-12-05125.pdf
Towards a real-time unsupervised estimation of predictive model degradation / Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ELENA MARIA. - ELETTRONICO. - (2019). ((Intervento presentato al convegno BIRTE '19 International Workshop on Real-Time Business Intelligence and Analytics tenutosi a Los Angeles, CA, USA nel August 26, 2019 [10.1145/3350489.3350494]. 1-gen-2019 Tania CerquitelliStefano ProtoFrancesco VenturaDaniele ApilettiElena Baralis BIRTE_CAMERA_READY_VLDB_2019.pdf
Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation / Proto, Stefano; DI CORSO, Evelina; Ventura, Francesco; Cerquitelli, Tania. - ELETTRONICO. - (2018), pp. 33-40. ((Intervento presentato al convegno BigData Congress 2018 tenutosi a San Francisco (USA) nel July 2-7, 2018. 1-gen-2018 PROTO, STEFANOEvelina Di CorsoFrancesco VenturaTania Cerquitelli topic-tuning-strategies.pdf