APILETTI, DANIELE

APILETTI, DANIELE  

Dipartimento di Automatica e Informatica  

017160  

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Risultati 1 - 20 di 67 (tempo di esecuzione: 0.035 secondi).
Citazione Data di pubblicazione Autori File
Lorentz-invariant augmentation for high-energy physics / Monaco, Simone; Barresi, Sebastiano; Apiletti, Daniele. - (In corso di stampa). (Intervento presentato al convegno European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases tenutosi a Torino nel September 18-22 2023). In corso di stampa Monaco,SimoneBarresi,SebastianoApiletti,Daniele -
AI models for automated segmentation of engineered polycystic kidney tubules / Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 14:(2024). [10.1038/s41598-024-52677-1] 1-gen-2024 Monaco, SimoneGiobergia, FlavioApiletti, Daniele + s41598-024-52677-1.pdf
DriftLens: A Concept Drift Detection Tool / Greco, Salvatore; Vacchetti, Bartolomeo; Apiletti, Daniele; Cerquitelli, Tania. - ELETTRONICO. - 27:(2024), pp. 806-809. (Intervento presentato al convegno Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ) tenutosi a Paestum (IT) nel 25th March - 28th March, 2024). 1-gen-2024 Greco, SalvatoreVacchetti, BartolomeoApiletti, DanieleCerquitelli, Tania DriftLens - A Concept Drift Detection Tool.pdf
A Model-based Curriculum Learning Strategy for Training SegFormer / Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE 17th International Conference Application of Information and Communication Technologies tenutosi a Baku (AZ) nel 18-20 October 2023) [10.1109/AICT59525.2023.10313143]. 1-gen-2023 Rege Cambrin, DanieleApiletti, DanieleGarza, Paolo aict.pdfA_Model-based_Curriculum_Learning_Strategy_for_Training_SegFormer.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
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models / Militone, Gabriele Scaffidi; Apiletti, Daniele; Malnati, Giovanni. - ELETTRONICO. - (2023), pp. 3149-3153. (Intervento presentato al convegno 2023 IEEE International Conference on Big Data (BigData) tenutosi a Sorrento (IT) nel 15/12/2023 - 18/12/2023) [10.1109/bigdata59044.2023.10386896]. 1-gen-2023 Militone, Gabriele ScaffidiApiletti, DanieleMalnati, Giovanni Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models.pdf
Explaining deep convolutional models by measuring the influence of interpretable features in image classification / Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania. - In: DATA MINING AND KNOWLEDGE DISCOVERY. - ISSN 1573-756X. - (2023). [10.1007/s10618-023-00915-x] 1-gen-2023 Ventura, FrancescoGreco, SalvatoreApiletti, DanieleCerquitelli, Tania s10618-023-00915-x.pdf
Training physics-informed neural networks: One learning to rule them all? / Monaco, Simone; Apiletti, Daniele. - In: RESULTS IN ENGINEERING. - ISSN 2590-1230. - ELETTRONICO. - 18:(2023). [10.1016/j.rineng.2023.101023] 1-gen-2023 Simone MonacoDaniele Apiletti 1-s2.0-S2590123023001500-main.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.pdfBurnedAreaDatasetPaper.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 -
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
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
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.pdfs10115-022-01690-9.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
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
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
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
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.pdf1-s2.0-S0957417421007004-main.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
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