Archivio Istituzionale della RicercaAPILETTI, DANIELE
APILETTI, DANIELE
Dipartimento di Automatica e Informatica
017160
A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics
2025 Celia, Matteo; Monaco, Simone; Apiletti, Daniele
Quantify production planning efficiency through predictive modeling in manufacturing systems
2025 Monaco, Simone; Apiletti, Daniele; Francica, Andrea; Cerquitelli, Tania
Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation
2025 Monaco, Simone; Monaco, Luca; Apiletti, Daniele; Cremonini, Roberto; Barbero, Secondo
Unsupervised Concept Drift Detection From Deep Learning Representations in Real-Time
2025 Greco, Salvatore; Vacchetti, Bartolomeo; Apiletti, Daniele; Cerquitelli, Tania
AI models for automated segmentation of engineered polycystic kidney tubules
2024 Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, Giuseppe; Xinaris, Christodoulos; Apiletti, Daniele
Explaining deep convolutional models by measuring the influence of interpretable features in image classification
2024 Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania
Hermes, a low-latency transactional storage for binary data streams from remote devices
2024 Scaffidi Militone, Gabriele; Apiletti, Daniele; Malnati, Giovanni
Training physics-informed neural networks: One learning to rule them all?
2023 Monaco, Simone; Apiletti, Daniele
Theory-Guided Deep Learning Algorithms: An Experimental Evaluation
2022 Monaco, Simone; Apiletti, Daniele; Malnati, Giovanni
Trusting deep learning natural-language models via local and global explanations
2022 Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania
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
Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining
2020 Apiletti, Daniele; Pastor, Eliana
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
Effective video hyperlinking by means of enriched feature sets and monomodal query combinations
2020 Kavoosifar, MOHAMMAD REZA; Apiletti, Daniele; Baralis, Elena; Garza, Paolo; Huet, Benoit
From Hotel Reviews to City Similarities: A Unified Latent-Space Model
2020 Cagliero, L.; La Quatra, M.; Apiletti, D.
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
Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings
2019 Cerquitelli, T.; Malnati, G.; Apiletti, D.
Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine
2019 Acquaviva, Andrea; Apiletti, Daniele; Attanasio, Antonio; Baralis, ELENA MARIA; Bottaccioli, Lorenzo; Cerquitelli, Tania; Chiusano, SILVIA ANNA; Macii, Enrico; Patti, Edoardo
METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models
2018 Di Corso, Evelina; Cerquitelli, Tania; Apiletti, Daniele
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Comparative Study of Neural Ordinary Differential Equations and Neural Operators for Modeling Temporal Dynamics / Celia, M., Monaco, S., Apiletti, D.. - In: NEURAL COMPUTING & APPLICATIONS. - ISSN 1433-3058. - ELETTRONICO. - 37:30(2025), pp. 25319-25338. [10.1007/s00521-025-11580-0] | 1-gen-2025 | Celia, MatteoMonaco, SimoneApiletti, Daniele | s00521-025-11580-0.pdf |
| Quantify production planning efficiency through predictive modeling in manufacturing systems / Monaco, S., Apiletti, D., Francica, A., Cerquitelli, T.. - In: COMPUTERS & INDUSTRIAL ENGINEERING. - ISSN 0360-8352. - ELETTRONICO. - 201:(2025). [10.1016/j.cie.2025.110919] | 1-gen-2025 | Monaco, SimoneApiletti, DanieleCerquitelli, Tania + | 1-s2.0-S0360835225000658-main.pdf |
| Uncertainty-aware methods for enhancing rainfall prediction with deep-learning based post-processing segmentation / Monaco, S., Monaco, L., Apiletti, D., Cremonini, R., Barbero, S.. - In: COMPUTERS & GEOSCIENCES. - ISSN 0098-3004. - ELETTRONICO. - 205:(2025). [10.1016/j.cageo.2025.105992] | 1-gen-2025 | Monaco, SimoneMonaco, LucaApiletti, Daniele + | 1-s2.0-S0098300425001426-main.pdf |
| Unsupervised Concept Drift Detection From Deep Learning Representations in Real-Time / Greco, S., Vacchetti, B., Apiletti, D., Cerquitelli, T.. - In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. - ISSN 1558-2191. - 37:10(2025), pp. 6232-6245. [10.1109/TKDE.2025.3593123] | 1-gen-2025 | Salvatore GrecoBartolomeo VacchettiDaniele ApilettiTania Cerquitelli | Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time.pdf; Unsupervised_Concept_Drift_Detection_From_Deep_Learning_Representations_in_Real-Time.pdf |
| AI models for automated segmentation of engineered polycystic kidney tubules / Monaco, S., Bussola, N., Buttò, S., Sona, D., Giobergia, F., Jurman, G., Xinaris, C., Apiletti, D.. - 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 |
| Explaining deep convolutional models by measuring the influence of interpretable features in image classification / Ventura, F., Greco, S., Apiletti, D., Cerquitelli, T.. - In: DATA MINING AND KNOWLEDGE DISCOVERY. - ISSN 1573-756X. - 38:(2024), pp. 3169-3226. [10.1007/s10618-023-00915-x] | 1-gen-2024 | Ventura, FrancescoGreco, SalvatoreApiletti, DanieleCerquitelli, Tania | s10618-023-00915-x.pdf |
| Hermes, a low-latency transactional storage for binary data streams from remote devices / Scaffidi Militone, G., Apiletti, D., Malnati, G.. - In: DATA & KNOWLEDGE ENGINEERING. - ISSN 0169-023X. - 153:(2024). [10.1016/j.datak.2024.102315] | 1-gen-2024 | Scaffidi Militone, GabrieleApiletti, DanieleMalnati, Giovanni | 02_DKE_Hermes--a-low-latency-transactional-storage-for-binar_2024_Data---Knowledge-.pdf |
| Training physics-informed neural networks: One learning to rule them all? / Monaco, S., Apiletti, D.. - 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 |
| Theory-Guided Deep Learning Algorithms: An Experimental Evaluation / Monaco, S., Apiletti, D., Malnati, G.. - 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, F., Greco, S., Apiletti, D., Cerquitelli, T.. - 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 |
| Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction / Monaco, S., Greco, S., Farasin, A., Colomba, L., Apiletti, D., Garza, P., Cerquitelli, T., Baralis, E.. - 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, T., Ventura, F., Apiletti, D., Baralis, E., Macii, E., Poncino, M.. - 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.pdf; 1-s2.0-S0957417421007004-main.pdf |
| Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining / Apiletti, D., Pastor, E.. - 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, D., Apiletti, D., Giordano, D., Nisi, M., Huang, T., Zhang, Y., Mellia, M., Baralis, E.. - In: COMPUTING. - ISSN 1436-5057. - ELETTRONICO. - (2020), pp. 1-13. [10.1007/s00607-019-00781-w] | 1-gen-2020 | Daniela RengaDaniele ApilettiDanilo GiordanoMatteo NisiTao HuangYang ZhangMarco MelliaElena Baralis | Enel___Extension (1).pdf; Renga2020_Article_Data-drivenExploratoryModelsOf.pdf |
| Effective video hyperlinking by means of enriched feature sets and monomodal query combinations / Kavoosifar, M.R., Apiletti, D., Baralis, E., Garza, P., Huet, B.. - In: INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL. - ISSN 2192-6611. - ELETTRONICO. - 9:(2020), pp. 215-227. [10.1007/s13735-019-00173-y] | 1-gen-2020 | Mohammad Reza KavoosifarDaniele ApilettiElena BaralisPaolo Garza + | IJMIR__Journal_2017_Behnam.pdf; s13735-019-00173-y.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 |
| REDTag: A Predictive Maintenance Framework for Parcel Delivery Services / Proto, S., DI CORSO, E., Apiletti, D., Cagliero, L., Cerquitelli, T., Malnati, G., Mazzucchi, D.. - 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 |
| Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings / Cerquitelli, T., Malnati, G., Apiletti, D.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 12:15(2019), pp. 2933-2950. [10.3390/en12152933] | 1-gen-2019 | Cerquitelli T.Malnati G.Apiletti D. | energies-12-02933 (2).pdf; energies-12-02933_reduced.pdf |
| Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine / Acquaviva, A., Apiletti, D., Attanasio, A., Baralis, E.M., Bottaccioli, L., Cerquitelli, T., Chiusano, S.A., Macii, E., Patti, E.. - In: ELECTRONICS. - ISSN 2079-9292. - 8:5(2019), pp. 1-31. [10.3390/electronics8050491] | 1-gen-2019 | Daniele ApilettiAntonio AttanasioElena BaralisLorenzo BottaccioliTania CerquitelliSilvia ChiusanoEnrico MaciiEdoardo Patti + | electronics-08-00491.pdf |
| METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models / Di Corso, E., Cerquitelli, T., Apiletti, D.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 11:6(2018), p. 1336. [10.3390/en11061336] | 1-gen-2018 | Di Corso, EvelinaCerquitelli, TaniaApiletti, Daniele | energies-11-01336.pdf |