Archivio Istituzionale della RicercaVENTURA, FRANCESCO
VENTURA, FRANCESCO
Dipartimento di Automatica e Informatica
041652
Explaining deep convolutional models by measuring the influence of interpretable features in image classification
2024 Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania
Trusting deep learning natural-language models via local and global explanations
2022 Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes
2021 Cerquitelli, Tania; Ventura, Francesco; Apiletti, Daniele; Baralis, Elena; Macii, Enrico; Poncino, Massimo
Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge
2021 Ventura, Francesco
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.
DSLE: A Smart Platform for Designing Data Science Competitions
2020 Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ELENA MARIA; Cagliero, Luca; Garza, Paolo; Apiletti, Daniele; Cerquitelli, Tania; Chiusano, SILVIA ANNA
Enabling predictive analytics for smart manufacturing through an IIoT platform
2020 Cerquitelli, T; Nikolakis, N; Bethaz, P; Panicucci, S; Ventura, F; Macii, E; Andolina, S; Marguglio, A; Alexopoulos, K; Petrali, P; Pagani, A; van Wilgen, P; Ippolito, M
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
What's in the box? Explaining the black-box model through an evaluation of its interpretable features
2019 Ventura, Francesco; Cerquitelli, Tania
Black-Box Model Explained Through an Assessment of Its Interpretable Features
2018 Ventura, Francesco; Cerquitelli, Tania; Giacalone, Francesco
Clustering-Based Assessment of Residential Consumers from Hourly-Metered Data
2018 Cerquitelli, Tania; Chicco, Gianfranco; Di Corso, Evelina; Ventura, Francesco; Giuseppe, Montesano; Mirko, Armiento; Alicia, Mateo González; Andrea, Veiga Santiago
Discovering electricity consumption over time for residential consumers through cluster analysis
2018 Cerquitelli, Tania; Chicco, Gianfranco; DI CORSO, Evelina; Ventura, Francesco; Montesano, Giuseppe; Del Pizzo, Anita; Mateo González, Alicia; Martin Sobrino, Eduardo
iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0
2018 Apiletti, Daniele; Barberis, Claudia; Cerquitelli, Tania; Macii, Alberto; Macii, Enrico; Poncino, Massimo; Ventura, Francesco
Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation
2018 Proto, Stefano; DI CORSO, Evelina; Ventura, Francesco; Cerquitelli, Tania
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection
2017 Di Corso, Evelina; Ventura, Francesco; Cerquitelli, Tania
Data miners' little helper: data transformation activity cues for cluster analysis on document collections
2017 Cerquitelli, Tania; DI CORSO, Evelina; Ventura, Francesco; Chiusano, SILVIA ANNA
Prompting the data transformation activities for cluster analysis on collections of documents
2017 Cerquitelli, T.; Di Corso, E.; Ventura, F.; Chiusano, S.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Explaining deep convolutional models by measuring the influence of interpretable features in image classification / Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania. - 38:(2024), pp. 3169-3226. [10.1007/s10618-023-00915-x] | 1-gen-2024 | Ventura, FrancescoGreco, SalvatoreApiletti, DanieleCerquitelli, Tania | s10618-023-00915-x.pdf |
| Trusting deep learning natural-language models via local and global explanations / Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania. - In: KNOWLEDGE AND INFORMATION SYSTEMS. - ISSN 0219-1377. - 64:(2022), pp. 1863-1907. [10.1007/s10115-022-01690-9] | 1-gen-2022 | Ventura,FrancescoGreco,SalvatoreApiletti,DanieleCerquitelli,Tania | Trusting deep learning natural-language models via local and global explanations.pdf; s10115-022-01690-9.pdf |
| Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes / Cerquitelli, Tania; Ventura, Francesco; Apiletti, Daniele; Baralis, Elena; Macii, Enrico; Poncino, Massimo. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - ELETTRONICO. - 182 (115269):(2021). [10.1016/j.eswa.2021.115269] | 1-gen-2021 | Cerquitelli, TaniaVentura, FrancescoApiletti, DanieleBaralis, ElenaMacii, EnricoPoncino, Massimo | Pre-Proof-PDF.pdf; 1-s2.0-S0957417421007004-main.pdf |
| Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge / Ventura, Francesco. - (2021 May 28), pp. 1-141. | 28-mag-2021 | VENTURA, FRANCESCO | conv_francesco_ventura_thesis.pdf; Francesco_Ventura_Summary.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 |
| DSLE: A Smart Platform for Designing Data Science Competitions / Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ELENA MARIA; Cagliero, Luca; Garza, Paolo; Apiletti, Daniele; Cerquitelli, Tania; Chiusano, SILVIA ANNA. - ELETTRONICO. - (2020), pp. 133-142. (Intervento presentato al convegno 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) tenutosi a Madrid (Spain) nel July 13-17) [10.1109/COMPSAC48688.2020.00026]. | 1-gen-2020 | Giuseppe AttanasioFlavio GiobergiaAndrea PasiniFrancesco VenturaElena BaralisLuca CaglieroPaolo GarzaDaniele ApilettiTania CerquitelliSilvia Chiusano | 730300a133.pdf; DSL_IEEECompsac2020_accepted_version.pdf |
| Enabling predictive analytics for smart manufacturing through an IIoT platform / Cerquitelli, T; Nikolakis, N; Bethaz, P; Panicucci, S; Ventura, F; Macii, E; Andolina, S; Marguglio, A; Alexopoulos, K; Petrali, P; Pagani, A; van Wilgen, P; Ippolito, M. - 53:(2020), pp. 179-184. (Intervento presentato al convegno 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020 tenutosi a Cambridge (UK) nel 10 September 2020through 11 September 2020) [10.1016/j.ifacol.2020.11.029]. | 1-gen-2020 | Cerquitelli, TBethaz, PVentura, FMacii, E + | ifac-2020.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 | - |
| What's in the box? Explaining the black-box model through an evaluation of its interpretable features / Ventura, Francesco; Cerquitelli, Tania. - ELETTRONICO. - arXiv:1908.04348:(2019), pp. 1-5. | 1-gen-2019 | Francesco VenturaTania Cerquitelli | 1908.04348.pdf |
| Black-Box Model Explained Through an Assessment of Its Interpretable Features / Ventura, Francesco; Cerquitelli, Tania; Giacalone, Francesco. - ELETTRONICO. - (2018), pp. 138-149. (Intervento presentato al convegno New Trends in Databases and Information Systems tenutosi a Budapest, Hungary nel September, 2-5, 2018) [10.1007/978-3-030-00063-9_15]. | 1-gen-2018 | Francesco VenturaTania CerquitelliGIACALONE, FRANCESCO | - |
| Clustering-Based Assessment of Residential Consumers from Hourly-Metered Data / Cerquitelli, Tania; Chicco, Gianfranco; Di Corso, Evelina; Ventura, Francesco; Giuseppe, Montesano; Mirko, Armiento; Alicia, Mateo González; Andrea, Veiga Santiago. - ELETTRONICO. - (2018). (Intervento presentato al convegno International Conference on Smart Energy System and Technologies - SEST 2018 tenutosi a Sevilla, Spain nel September, 10-12, 2018). | 1-gen-2018 | Cerquitelli, TaniaChicco, GianfrancoDi Corso, EvelinaVentura, Francesco + | - |
| Discovering electricity consumption over time for residential consumers through cluster analysis / Cerquitelli, Tania; Chicco, Gianfranco; DI CORSO, Evelina; Ventura, Francesco; Montesano, Giuseppe; Del Pizzo, Anita; Mateo González, Alicia; Martin Sobrino, Eduardo. - ELETTRONICO. - (2018), pp. 164-169. (Intervento presentato al convegno 2018 International Conference on Development and Application Systems (DAS) tenutosi a Suceava (Romania) nel 24-26 May 2018) [10.1109/DAAS.2018.8396090]. | 1-gen-2018 | Tania CerquitelliGianfranco ChiccoEvelina Di CorsoFrancesco Ventura + | - |
| iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0 / Apiletti, Daniele; Barberis, Claudia; Cerquitelli, Tania; Macii, Alberto; Macii, Enrico; Poncino, Massimo; Ventura, Francesco. - ELETTRONICO. - (2018), pp. 924-931. (Intervento presentato al convegno IEEE International Conference on Parallel & Distributed Processing with Applications tenutosi a Melbourne, Australia nel December 11-13, 2018) [10.1109/BDCloud.2018.00136]. | 1-gen-2018 | Apiletti, DanieleBarberis, ClaudiaCerquitelli, TaniaMacii, AlbertoMacii, EnricoPoncino, MassimoVentura, Francesco | - |
| 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 |
| All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection / Di Corso, Evelina; Ventura, Francesco; Cerquitelli, Tania. - ELETTRONICO. - (2017), pp. 3722-3726. (Intervento presentato al convegno Big Data (Big Data), 2017 IEEE International Conference on tenutosi a Boston (USA) nel 11-14 Dec. 2017) [10.1109/BigData.2017.8258369]. | 1-gen-2017 | Di Corso, EvelinaVentura, FrancescoCerquitelli, Tania | CameraReadyDSEM2017.pdf |
| Data miners' little helper: data transformation activity cues for cluster analysis on document collections / Cerquitelli, Tania; DI CORSO, Evelina; Ventura, Francesco; Chiusano, SILVIA ANNA. - STAMPA. - (2017), pp. 1-6. (Intervento presentato al convegno Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics tenutosi a Amantea nel June 19-22, 2017) [10.1145/3102254.3102288]. | 1-gen-2017 | CERQUITELLI, TANIADI CORSO, EVELINAVENTURA, FRANCESCOCHIUSANO, SILVIA ANNA | - |
| Prompting the data transformation activities for cluster analysis on collections of documents / Cerquitelli, T.; Di Corso, E.; Ventura, F.; Chiusano, S.. - ELETTRONICO. - (2017), pp. 1-8. (Intervento presentato al convegno 25th Italian Symposium on Advanced Database Systems, SEBD 2017, Squillace Lido, Catanzaro, Italy, June 25th-29th, 2017, tenutosi a Squillace Lido, Catanzaro, Italy nel June 25th-29th, 2017). | 1-gen-2017 | Cerquitelli T.Di Corso E.Ventura F.Chiusano S. | paper_32.pdf |