Archivio Istituzionale della RicercaSfoglia per Autore
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
Evaluating espresso coffee quality by means of time-series feature engineering
2020 Apiletti, D.; Pastor, E.; Callà, R.; Baralis, E.
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
From Hotel Reviews to City Similarities: A Unified Latent-Space Model
2020 Cagliero, L.; La Quatra, M.; Apiletti, D.
Forecasting: theory and practice
2020 Fotios, Petropoulos; Apiletti, Daniele; Vassilios, Assimakopoulos; Mohamed Zied Babai, ; Barrow, Devon K.; Christoph, Bergmeir; Bessa, Ricardo J.; Boylan, John E.; Jethro, Browell; Claudio, Carnevale; Castle, Jennifer L.; Pasquale, Cirillo; Clements, Michael P.; Clara, Cordeiro; Fernando Luiz Cyrino Oliveira, ; Shari De Baets, ; Alexander, Dokumentov; Piotr, Fiszeder; Philip Hans Franses, ; Michael, Gilliland; Sinan Gönül, M.; Paul, Goodwin; Luigi, Grossi; Yael, Grushka-Cockayne; Mariangela, Guidolin; Massimo, Guidolin; Ulrich, Gunter; Xiaojia, Guo; Renato, Guseo; Nigel, Harvey; Hendry, David F.; Ross, Hollyman; Tim, Januschowski; Jooyoung, Jeon; Jose, Victor Richmond R.; Yanfei, Kang; Koehler, Anne B.; Stephan, Kolassa; Nikolaos, Kourentzes; Leva, Sonia; Feng, Li; Konstantia, Litsiou; Spyros, Makridakis; Martinez, Andrew B.; Sheik, Meeran; Theodore, Modis; Konstantinos, Nikolopoulos; Dilek, Önkal; Alessia, Paccagnini; Ioannis, Panapakidis; Pavía, Jose M.; Manuela, Pedio; Pedregal, Diego J.; Pierre, Pinson; Patrícia, Ramos; Rapach, David E.; James Reade, J.; Bahman, Rostami-Tabar; Michał, Rubaszek; Georgios, Sermpinis; Han Lin Shang, ; Evangelos, Spiliotis; Syntetos, Aris A.; Priyanga Dilini Talagala, ; Talagala, Thiyanga S.; Len, Tashman; Dimitrios, Thomakos; Thordis, Thorarinsdottir; Ezio, Todini; Juan Ramón Trapero Arenas, ; Xiaoqian, Wang; Winkler, Robert L.; Alisa, Yusupova; Florian, Ziel
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images
2020 Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ELENA MARIA
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis
2020 Renga, Daniela; Apiletti, Daniele; Giordano, Danilo; Nisi, Matteo; Huang, Tao; Zhang, Yang; Mellia, Marco; Baralis, ELENA MARIA
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
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining
2020 Apiletti, Daniele; Pastor, Eliana
A hybrid cloud-to-edge predictive maintenance platform
2021 Marguglio, Angelo; Veneziano, Giuseppe; Greco, Pietro; Jung, Sven; Siegburg, Robert; Schmitt, Robert H.; Monaco, Simone; Apiletti, Daniele; Nikolakis, Nikolaos; Cerquitelli, Tania; Macii, Enrico
Double-Step deep learning framework to improve wildfire severity classification
2021 Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; Garza, Paolo; Baralis, Elena
Cyst segmentation on kidney tubules by means of U-Net deep-learning models
2021 Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos; Viola, Vincenzo
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction
2021 Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; Garza, Paolo; Cerquitelli, Tania; Baralis, Elena
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
Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers
2022 Monaco, Simone; Bethaz, Paolo; Apiletti, Daniele; Baldini, Fabrizio Pio; Caso, Carlo; Cerquitelli, Tania
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery
2022 Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania
Trusting deep learning natural-language models via local and global explanations
2022 Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania
Experimental Comparison of Theory-Guided Deep Learning Algorithms
2022 Monaco, Simone; Apiletti, Daniele
Theory-Guided Deep Learning Algorithms: An Experimental Evaluation
2022 Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy
2023 Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; Apiletti, Daniele; Baralis, ELENA MARIA
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 | - |
| Evaluating espresso coffee quality by means of time-series feature engineering / Apiletti, D.; Pastor, E.; Callà, R.; Baralis, E.. - ELETTRONICO. - 2578:(2020). (Intervento presentato al convegno Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020 tenutosi a dnk nel 2020). | 1-gen-2020 | Apiletti D.Pastor E.Baralis E. + | DARLIAP5.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 |
| From Hotel Reviews to City Similarities: A Unified Latent-Space Model / Cagliero, L.; La Quatra, M.; Apiletti, D.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:1(2020), pp. 1-16. [10.3390/electronics9010197] | 1-gen-2020 | Cagliero, L.La Quatra, M.Apiletti, D. | electronics-09-00197.pdf |
| Forecasting: theory and practice / Fotios, Petropoulos; Apiletti, Daniele; Vassilios, Assimakopoulos; Mohamed Zied Babai, ; Barrow, Devon K.; Christoph, Bergmeir; Bessa, Ricardo J.; Boylan, John E.; Jethro, Browell; Claudio, Carnevale; Castle, Jennifer L.; Pasquale, Cirillo; Clements, Michael P.; Clara, Cordeiro; Fernando Luiz Cyrino Oliveira, ; Shari De Baets, ; Alexander, Dokumentov; Piotr, Fiszeder; Philip Hans Franses, ; Michael, Gilliland; Sinan Gönül, M.; Paul, Goodwin; Luigi, Grossi; Yael, Grushka-Cockayne; Mariangela, Guidolin; Massimo, Guidolin; Ulrich, Gunter; Xiaojia, Guo; Renato, Guseo; Nigel, Harvey; Hendry, David F.; Ross, Hollyman; Tim, Januschowski; Jooyoung, Jeon; Jose, Victor Richmond R.; Yanfei, Kang; Koehler, Anne B.; Stephan, Kolassa; Nikolaos, Kourentzes; Leva, Sonia; Feng, Li; Konstantia, Litsiou; Spyros, Makridakis; Martinez, Andrew B.; Sheik, Meeran; Theodore, Modis; Konstantinos, Nikolopoulos; Dilek, Önkal; Alessia, Paccagnini; Ioannis, Panapakidis; Pavía, Jose M.; Manuela, Pedio; Pedregal, Diego J.; Pierre, Pinson; Patrícia, Ramos; Rapach, David E.; James Reade, J.; Bahman, Rostami-Tabar; Michał, Rubaszek; Georgios, Sermpinis; Han Lin Shang, ; Evangelos, Spiliotis; Syntetos, Aris A.; Priyanga Dilini Talagala, ; Talagala, Thiyanga S.; Len, Tashman; Dimitrios, Thomakos; Thordis, Thorarinsdottir; Ezio, Todini; Juan Ramón Trapero Arenas, ; Xiaoqian, Wang; Winkler, Robert L.; Alisa, Yusupova; Florian, Ziel. - ELETTRONICO. - (2020), pp. 1-241. | 1-gen-2020 | Daniele ApilettiSonia LevaFeng Li + | ArXiv-2012.03854.pdf |
| Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images / Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ELENA MARIA. - ELETTRONICO. - (2020), pp. 5786-5788. (Intervento presentato al convegno 2020 IEEE International Conference on Big Data tenutosi a Atlanta (US) nel December 10-13, 2020) [10.1109/BigData50022.2020.9377867]. | 1-gen-2020 | Simone MonacoAndrea PasiniDaniele ApilettiLuca ColombaPaolo GarzaElena Baralis | IEEE_Conference_BigData_2020.pdf; 09247550.pdf |
| Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis / Renga, Daniela; Apiletti, Daniele; Giordano, Danilo; Nisi, Matteo; Huang, Tao; Zhang, Yang; Mellia, Marco; Baralis, ELENA MARIA. - In: COMPUTING. - ISSN 1436-5057. - ELETTRONICO. - (2020), pp. 1-13. [10.1007/s00607-019-00781-w] | 1-gen-2020 | Daniela RengaDaniele ApilettiDanilo GiordanoTao HuangYang ZhangMarco MelliaElena Baralis + | Enel___Extension (1).pdf; Renga2020_Article_Data-drivenExploratoryModelsOf.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 |
| Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining / Apiletti, Daniele; Pastor, Eliana. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:1(2020). [10.3390/electronics9010100] | 1-gen-2020 | Apiletti, DanielePastor, Eliana | electronics-09-00100-v2.pdf |
| A hybrid cloud-to-edge predictive maintenance platform / Marguglio, Angelo; Veneziano, Giuseppe; Greco, Pietro; Jung, Sven; Siegburg, Robert; Schmitt, Robert H.; Monaco, Simone; Apiletti, Daniele; Nikolakis, Nikolaos; Cerquitelli, Tania; Macii, Enrico (INFORMATION FUSION AND DATA SCIENCE). - In: Predictive Maintenance in Smart Factories / Marguglio A., Veneziano G., Greco P., Jung S., Siegburg R., Schmitt R. H., Monaco S., Apiletti D., Cerquitelli T., Nikolakis N., Macii E.. - ELETTRONICO. - [s.l] : Springer, 2021. - ISBN 978-981-16-2939-6. - pp. 19-37 [10.1007/978-981-16-2940-2_2] | 1-gen-2021 | Monaco, SimoneApiletti, DanieleCerquitelli, TaniaMacii, Enrico + | Serena_Book_Chapter2.pdf |
| Double-Step deep learning framework to improve wildfire severity classification / Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; Garza, Paolo; Baralis, Elena. - ELETTRONICO. - (2021). (Intervento presentato al convegno Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021 tenutosi a Nicosia (Cyprus) nel March 23-26, 2021). | 1-gen-2021 | Monaco, SimonePasini, AndreaApiletti, DanieleColomba, LucaFarasin, AlessandroGarza, PaoloBaralis, Elena | Rescue_DarliAP2020.pdf |
| Cyst segmentation on kidney tubules by means of U-Net deep-learning models / Monaco, Simone; Bussola, Nicole; Butto, Sara; Sona, Diego; Apiletti, Daniele; Jurman, Giuseppe; Viola, Elisa; Chierici, Marco; Xinaris, Christodoulos; Viola, Vincenzo. - ELETTRONICO. - (2021), pp. 3923-3926. (Intervento presentato al convegno IEEE International Conference on Big Data nel 15-18 Dec. 2021) [10.1109/BigData52589.2021.9671669]. | 1-gen-2021 | Monaco, SimoneApiletti, Daniele + | Cyst_segmentation_on_kidney_tubules_by_means_of_U-Net_deep-learning_models.pdf |
| Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction / Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; Garza, Paolo; Cerquitelli, Tania; Baralis, Elena. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:22(2021). [10.3390/app112211060] | 1-gen-2021 | Monaco, SimoneGreco, SalvatoreFarasin, AlessandroColomba, LucaApiletti, DanieleGarza, PaoloCerquitelli, TaniaBaralis, Elena | applsci-11-11060.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. - (2021), p. 115269. [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 |
| Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers / Monaco, Simone; Bethaz, Paolo; Apiletti, Daniele; Baldini, Fabrizio Pio; Caso, Carlo; Cerquitelli, Tania. - (2022). (Intervento presentato al convegno EDBT/ICDT Workshop, 6th International workshop on Data Analytics solutions for Real-LIfe APplications tenutosi a Edinburgh nel March 29 - April 1, 2022). | 1-gen-2022 | Monaco, SimoneBethaz, PaoloApiletti, DanieleCerquitelli, Tania + | AI4Trucks_DarliAP2022.pdf |
| A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery / Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania. - ELETTRONICO. - (2022), pp. 3893-3897. (Intervento presentato al convegno International Conference on Information and Knowledge Management (CIKM) 2022 tenutosi a Atlanta (Georgia, USA) nel 17/10/2022 - 21/10/2022) [10.1145/3511808.3557528]. | 1-gen-2022 | Colomba,LucaFarasin,AlessandroMonaco,SimoneGreco,SalvatoreGarza,PaoloApiletti,DanieleBaralis,ElenaCerquitelli,Tania | 3511808.3557528.pdf; BurnedAreaDatasetPaper.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 |
| Experimental Comparison of Theory-Guided Deep Learning Algorithms / Monaco, Simone; Apiletti, Daniele. - ELETTRONICO. - 1652:(2022), pp. 256-265. (Intervento presentato al convegno European Conference on Advances in Databases and Information Systems (ADBIS 2022) tenutosi a Torino nel September 5-8 2022) [10.1007/978-3-031-15743-1_24]. | 1-gen-2022 | Monaco, SimoneApiletti, Daniele | - |
| Theory-Guided Deep Learning Algorithms: An Experimental Evaluation / Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 11:18(2022). [10.3390/electronics11182850] | 1-gen-2022 | Simone MonacoDaniele ApilettiGiovanni Malnati | electronics-11-02850.pdf |
| baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy / Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; Apiletti, Daniele; Baralis, ELENA MARIA. - ELETTRONICO. - 3473:(2023). (Intervento presentato al convegno EVALITA 2023 tenutosi a Parma (ITA) nel September 7th - 8th, 2023). | 1-gen-2023 | Koudounas AlkisGiobergia FlavioBenedetto IreneMonaco SimoneCagliero LucaApiletti DanieleBaralis Elena | paper16.pdf |
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