DANIELE APILETTI

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Assistant Professor with time contract

Most recent publications

Marguglio, Angelo; Veneziano, Giuseppe; Greco, Pietro; Jung, Sven; Siegburg, Robert; H., ... (2021)
A hybrid cloud-to-edge predictive maintenance platform. 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., S.L., Springer
Cerquitelli, Tania; Ventura, Francesco; Apiletti, Daniele; Baralis, Elena; Macii, ... (2021)
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. In: EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Farasin, Alessandro; ... (2021)
Double-Step deep learning framework to improve wildfire severity classification. In: Workshops of the 24th International Conference on Extending Database Technology/24th International Conference on Database Theory, EDBT-ICDT 2021, Nicosia (Cyprus), March 23-26, 2021. ISBN: 978-3-89318-084-4 Download fulltext
Fotios, Petropoulos; Apiletti, Daniele; Vassilios, Assimakopoulos; Mohamed Zied Babai, ; ... (2020)
Forecasting: theory and practice. pp. 1-241 Download fulltext
Monaco, Simone; Pasini, Andrea; Apiletti, Daniele; Colomba, Luca; Garza, Paolo; Baralis, ... (2020)
Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images. In: 2020 IEEE International Conference on Big Data, Atlanta (US), December 10-13, 2020, pp. 5786-5788. ISBN: 978-1-7281-6251-5 Download fulltext
Apiletti, D.; Pastor, E.; CallĂ , R.; Baralis, E. (2020)
Evaluating espresso coffee quality by means of time-series feature engineering. In: Workshops of the 23rd International Conference on Extending Database Technology/23rd International Conference on Database Theory, EDBT-ICDT-WS 2020, dnk, 2020. ISSN 1613-0073 Download fulltext
Attanasio, Giuseppe; Giobergia, Flavio; Pasini, Andrea; Ventura, Francesco; Baralis, ... (2020)
DSLE: A Smart Platform for Designing Data Science Competitions. In: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (Spain), July 13-17, pp. 133-142. ISBN: 978-1-7281-7303-0 Download fulltext
PROTO, STEFANO; DI CORSO, EVELINA; APILETTI, DANIELE; CAGLIERO, LUCA; CERQUITELLI, ... (2020)
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services. In: IEEE ACCESS, vol. 8, pp. 14953-14964. ISSN 2169-3536 Download fulltext
Apiletti, Daniele; Pastor, Eliana (2020)
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining. In: ELECTRONICS, vol. 9. ISSN 2079-9292 Download fulltext
Cagliero, L.; La Quatra, M.; Apiletti, D. (2020)
From Hotel Reviews to City Similarities: A Unified Latent-Space Model. In: ELECTRONICS, vol. 9, pp. 1-16. ISSN 2079-9292 Download fulltext
Renga, Daniela; Apiletti, Daniele; Giordano, Danilo; Nisi, Matteo; Huang, Tao; Zhang, ... (2020)
Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis. In: COMPUTING, pp. 1-13. ISSN 1436-5057 Download fulltext
Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ... (2019)
Automating concept-drift detection by self-evaluating predictive model degradation. pp. 1-5 Download fulltext
Cerquitelli, Tania; Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Baralis, ... (2019)
Towards a real-time unsupervised estimation of predictive model degradation. In: BIRTE '19 International Workshop on Real-Time Business Intelligence and Analytics, Los Angeles, CA, USA, August 26, 2019. ISBN: 978-1-4503-7660-0
Nisi, Matteo; Renga, Daniela; Apiletti, Daniele; Giordano, Danilo; Huang, Tao; Zhang, ... (2019)
Transparently mining data from a medium-voltage distribution network: a prognostic-diagnostic analysis. In: 2019 Workshops of the EDBT/ICDT Joint Conference
Kavoosifar, MOHAMMAD REZA; Apiletti, Daniele; Baralis, ELENA MARIA; Garza, Paolo; Huet, ... (2019)
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations. In: INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL. ISSN 2192-6611 Download fulltext
Proto, Stefano; Ventura, Francesco; Apiletti, Daniele; Cerquitelli, Tania; Baralis, ... (2019)
PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes. In: 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019, Milan, Italy, July 8-13, 2019, pp. 139-143. ISBN: 978-1-7281-2772-9
Cerquitelli, T.; Malnati, G.; Apiletti, D. (2019)
Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings. In: ENERGIES, vol. 12, pp. 2933-2950. ISSN 1996-1073 Download fulltext
Ventura, Francesco; Proto, Stefano; Apiletti, Daniele; Cerquitelli, Tania; Panicucci, ... (2019)
A new unsupervised predictive-model self-assessment approach that SCALEs. In: 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, Italy, July 8-13, 2019, Milan, Italy, July 8-13, 2019, pp. 144-148. ISBN: 978-1-7281-2772-9
Acquaviva, Andrea; APILETTI, DANIELE; ATTANASIO, ANTONIO; BARALIS, ELENA MARIA; ... (2019)
Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine. In: ELECTRONICS, vol. 8, pp. 1-31. ISSN 2079-9292 Download fulltext
Apiletti, Daniele; Barberis, Claudia; Cerquitelli, Tania; Macii, Alberto; Macii, Enrico; ... (2018)
iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0. In: IEEE International Conference on Parallel & Distributed Processing with Applications, Melbourne, Australia, December 11-13, 2018, pp. 924-931. ISBN: 978-1-7281-1141-4
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