APILETTI, DANIELE

APILETTI, DANIELE  

Dipartimento di Automatica e Informatica  

017160  

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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.pdfBurnedAreaDatasetPaper.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 - 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 978-981-16-2940-2. - pp. 19-37 [10.1007/978-981-16-2940-2_2] 1-gen-2021 Monaco, SimoneApiletti, DanieleCerquitelli, TaniaMacii, Enrico + Serena_Book_Chapter2.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
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data / Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania; Garza, Paolo; Pulvirenti, Fabio; Michiardi, Pietro. - In: BIG DATA RESEARCH. - ISSN 2214-5796. - 10:(2017), pp. 53-69. [10.1016/j.bdr.2017.10.004] 1-gen-2017 Apiletti, DanieleBaralis, ElenaCerquitelli, TaniaGarza, PaoloPulvirenti, Fabio + PampaHD_BDR.pdfpampa_public.pdf
A review of scalable approaches for frequent itemset mining / Apiletti, Daniele; Garza, Paolo; Pulvirenti, Fabio. - 539:(2015), pp. 243-247. ((Intervento presentato al convegno 19th East-European Conference on Advances in Databases and Information Systems, ADBIS 2015 nel 2015 [10.1007/978-3-319-23201-0_27]. 1-gen-2015 APILETTI, DANIELEGARZA, PAOLOPULVIRENTI, FABIO BigDap2015.pdf
Association Rule Mining as a Cloud-Based Service / Apiletti, D.; Baralis, ELENA MARIA; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Grimaudo, Luigi. - STAMPA. - (2013), pp. 461-468. ((Intervento presentato al convegno 21st Italian Symposium on Advanced Database Systems tenutosi a Roccella Jonica, Reggio Calabria, Italy nel June 30th – July 04th, 2013. 1-gen-2013 Apiletti D.BARALIS, ELENA MARIACERQUITELLI, TANIACHIUSANO, SILVIA ANNAGRIMAUDO, LUIGI -
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
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
BAC: A bagged associative classifier for big data frameworks / Venturini, Luca; Garza, Paolo; Apiletti, Daniele. - STAMPA. - 637:(2016), pp. 137-146. ((Intervento presentato al convegno 3rd International Workshop on Big Data Applications and Principles, BigDap 2016, co-located with the 20th East-European Conference on Advances in Databases and Information Systems, ADBIS 2016 tenutosi a Prague, Czech Republic nel 28-8-2016 [10.1007/978-3-319-44066-8_15]. 1-gen-2016 VENTURINI, LUCAGARZA, PAOLOAPILETTI, DANIELE bac-bigdap-paper (17).pdf
Characterizing network traffic by means of the NetMine framework / Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania; D'Elia, Vincenzo. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - STAMPA. - 53:6(2009), pp. 774-789. [10.1016/j.comnet.2008.12.011] 1-gen-2009 APILETTI, DANIELEBARALIS, ELENA MARIACERQUITELLI, TANIAD'ELIA, VINCENZO Characterizing network traffic by means of the NetMine framework - baralis.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
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
Data Cleaning and Semantic Improvement in Biological Databases / Apiletti, Daniele; Bruno, Giulia; Ficarra, Elisa; Baralis, ELENA MARIA. - In: JOURNAL OF INTEGRATIVE BIOINFORMATICS. - ISSN 1613-4516. - 3(2):40:(2006). 1-gen-2006 APILETTI, DANIELEBRUNO, GIULIAFICARRA, ELISABARALIS, ELENA MARIA -
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).pdfRenga2020_Article_Data-drivenExploratoryModelsOf.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
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations / Kavoosifar, MOHAMMAD REZA; Apiletti, Daniele; Baralis, ELENA MARIA; Garza, Paolo; Huet, Benoit. - In: INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL. - ISSN 2192-6611. - ELETTRONICO. - (2019). [10.1007/s13735-019-00173-y] 1-gen-2019 Mohammad Reza KavoosifarDaniele ApilettiElena BaralisPaolo Garza + Kavoosifar2019_Article_EffectiveVideoHyperlinkingByMe.pdfIJMIR__Journal_2017_Behnam.pdf
Energy saving models for wireless sensor networks / Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania. - In: KNOWLEDGE AND INFORMATION SYSTEMS. - ISSN 0219-1377. - STAMPA. - 28:3(2011), pp. 615-644. [10.1007/s10115-010-0328-6] 1-gen-2011 APILETTI, DANIELEBARALIS, ELENA MARIACERQUITELLI, TANIA 2373598_draft.pdfKIS_2011_Cerquitelli-etAl.pdf
Energy-aware models for sensor network data acquisition / Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania; Cheema, ADEEL ASHRAF. - (2009). ((Intervento presentato al convegno 5th IEEE/ACM DCOSS International Conference on Distributed Computing in Sensor Systems tenutosi a MARINA DEL REY, CALIFORNIA, nel JUNE 8-10, 2009. 1-gen-2009 APILETTI, DANIELEBARALIS, ELENA MARIACERQUITELLI, TANIACHEEMA, ADEEL ASHRAF -
Enhancing energy awareness through the analysis of thermal energy consumption / Acquaviva, Andrea; Apiletti, Daniele; Attanasio, Antonio; Baralis, ELENA MARIA; Boni Castagnetti, F.; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Macii, Enrico; Martellacci, D.; Patti, Edoardo. - STAMPA. - 1330:(2015), pp. 64-71. ((Intervento presentato al convegno The 4th workshop on Energy Data Management tenutosi a Brussels nel March 27th 2015. 1-gen-2015 ACQUAVIVA, ANDREAAPILETTI, DANIELEATTANASIO, ANTONIOBARALIS, ELENA MARIACERQUITELLI, TANIACHIUSANO, SILVIA ANNAMACII, EnricoPATTI, EDOARDO + EDEN_EnDM@EDBT.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 1-s2.0-S0957417421007004-main.pdf