PROTO, STEFANO
Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization
2022 DI CORSO, Evelina; Proto, Stefano; Vacchetti, Bartolomeo; Bethaz, Paolo; Cerquitelli, Tania
A cloud-to-edge approach to support predictive analytics in robotics industry
2020 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.
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services
2020 Proto, Stefano; DI CORSO, Evelina; Apiletti, Daniele; Cagliero, Luca; Cerquitelli, Tania; Malnati, Giovanni; Mazzucchi, Davide
A new unsupervised predictive-model self-assessment approach that SCALEs
2019 Ventura, Francesco; Proto, Stefano; Apiletti, Daniele; Cerquitelli, Tania; Panicucci, Simone; Baralis, Elena; Macii, Enrico; Macii, Alberto
Automating concept-drift detection by self-evaluating predictive model degradation
2019 Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ELENA MARIA
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes
2019 Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Cerquitelli, Tania; Baralis, ELENA MARIA; Macii, Enrico; Macii, Alberto
Towards a real-time unsupervised estimation of predictive model degradation
2019 Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ELENA MARIA
Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation
2018 Proto, Stefano; DI CORSO, Evelina; Ventura, Francesco; Cerquitelli, Tania
First enantioselective synthesis of the diazatricyclic core of madangamine alkaloids
2010 Amat, M.; Perez, M.; Proto, S.; Gatti, T.; Bosch, J.
Citazione | Data di pubblicazione | Autori | File |
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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. - 12:10(2022), p. 5125. [10.3390/app12105125] | 1-gen-2022 | Evelina Di CorsoStefano ProtoBartolomeo VacchettiPaolo BethazTania Cerquitelli | Escape_MDPI (1).pdf; applsci-12-05125.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 |
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 |
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 + | - |
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 |
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 | - |
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 | - |
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 |
First enantioselective synthesis of the diazatricyclic core of madangamine alkaloids / Amat, M.; Perez, M.; Proto, S.; Gatti, T.; Bosch, J.. - In: CHEMISTRY-A EUROPEAN JOURNAL. - ISSN 0947-6539. - 16:31(2010), pp. 9438-9441. [10.1002/chem.201000421] | 1-gen-2010 | Proto S.Gatti T. + | Chem Eur J 2010.pdf |