Archivio Istituzionale della RicercaAPILETTI, DANIELE
APILETTI, DANIELE
Dipartimento di Automatica e Informatica
017160
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
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
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
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data
2017 Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania; Garza, Paolo; Pulvirenti, Fabio; Michiardi, Pietro
A review of scalable approaches for frequent itemset mining
2015 Apiletti, Daniele; Garza, Paolo; Pulvirenti, Fabio
Association Rule Mining as a Cloud-Based Service
2013 Apiletti, D.; Baralis, ELENA MARIA; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Grimaudo, Luigi
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
Automating concept-drift detection by self-evaluating predictive model degradation
2019 Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ELENA MARIA
BAC: A bagged associative classifier for big data frameworks
2016 Venturini, Luca; Garza, Paolo; Apiletti, Daniele
Characterizing network traffic by means of the NetMine framework
2009 Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania; D'Elia, Vincenzo
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining
2020 Apiletti, Daniele; Pastor, Eliana
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
Data Cleaning and Semantic Improvement in Biological Databases
2006 Apiletti, Daniele; Bruno, Giulia; Ficarra, Elisa; 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
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
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
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations
2019 Kavoosifar, MOHAMMAD REZA; Apiletti, Daniele; Baralis, ELENA MARIA; Garza, Paolo; Huet, Benoit
Energy saving models for wireless sensor networks
2011 Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania
Energy Signature Analysis: Knowledge at Your Fingertips
2015 Acquaviva, Andrea; Apiletti, Daniele; Attanasio, Antonio; Baralis, ELENA MARIA; Bottaccioli, Lorenzo; Castagnetti, Federico Boni; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Macii, Enrico; Martellacci, Dario; Patti, Edoardo
Energy-aware models for sensor network data acquisition.
2009 Apiletti, Daniele; Baralis, ELENA MARIA; Cerquitelli, Tania; Cheema, ADEEL ASHRAF
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 + | - |
| 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.pdf; pampa_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 | - |
| 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 | - |
| 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).pdf; Renga2020_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 |
| 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 |
| 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.pdf; IJMIR__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.pdf |
| Energy Signature Analysis: Knowledge at Your Fingertips / Acquaviva, Andrea; Apiletti, Daniele; Attanasio, Antonio; Baralis, ELENA MARIA; Bottaccioli, Lorenzo; Castagnetti, Federico Boni; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Macii, Enrico; Martellacci, Dario; Patti, Edoardo. - (2015), pp. 543-550. (Intervento presentato al convegno IEEE International Congress on Big Data (BigData Congress) 2015 tenutosi a New York, USA nel 27 June 2015 - 2 July 2015) [10.1109/BigDataCongress.2015.85]. | 1-gen-2015 | ACQUAVIVA, ANDREAAPILETTI, DANIELEATTANASIO, ANTONIOBARALIS, ELENA MARIABOTTACCIOLI, LORENZOCERQUITELLI, TANIACHIUSANO, SILVIA ANNAMACII, EnricoPATTI, EDOARDO + | ESA_Camera_Ready_8524.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 | - |