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Apiletti, Daniele
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1

AI models for automated segmentation of engineered polycyst..:

Monaco, Simone ; Bussola, Nicole ; Buttò, Sara...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Hermes, a low-latency transactional storage for binary data..:

Scaffidi Militone, Gabriele ; Apiletti, Daniele ; Malnati, Giovanni
Data & Knowledge Engineering.  153 (2024)  - p. 102315 , 2024
Link: https://doi.org/10.1016/..
 
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3

Author Correction: AI models for automated segmentation of ..:

Monaco, Simone ; Bussola, Nicole ; Buttò, Sara...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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4

Explaining deep convolutional models by measuring the influ..:

Ventura, Francesco ; Greco, Salvatore ; Apiletti, Daniele.
Data Mining and Knowledge Discovery.  , 2023
Link: https://doi.org/10.1007/..
 
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5

A Model-based Curriculum Learning Strategy for Training Seg..:

, In: 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT),
Cambrin, Daniele Rege ; Apiletti, Daniele ; Garza, Paolo - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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6

Combining fault-tolerant persistence and low-latency stream..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Militone, Gabriele Scaffidi ; Apiletti, Daniele ; Malnati, Giovanni - p. 3149-3153 , 2023
Link: https://doi.org/10.1109/..
 
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7

Training physics-informed neural networks: One learning to ..:

Monaco, Simone ; Apiletti, Daniele
Results in Engineering.  18 (2023)  - p. 101023 , 2023
Link: https://doi.org/10.1016/..
 
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8

Trusting deep learning natural-language models via local an..:

Ventura, Francesco ; Greco, Salvatore ; Apiletti, Daniele.
Knowledge and Information Systems.  64 (2022)  7 - p. 1863-1907 , 2022
Link: https://doi.org/10.1007/..
 
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9

Forecasting: theory and practice:

Petropoulos, Fotios ; Apiletti, Daniele ; Assimakopoulos, Vassilios...
International Journal of Forecasting.  38 (2022)  3 - p. 705-871 , 2022
Link: https://doi.org/10.1016/..
 
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10

A Dataset for Burned Area Delineation and Severity Estimati..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Colomba, Luca ; Farasin, Alessandro ; Monaco, Simone... - p. 3893-3897 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Theory-Guided Deep Learning Algorithms: An Experimental Eva..:

Monaco, Simone ; Apiletti, Daniele ; Malnati, Giovanni
Electronics.  11 (2022)  18 - p. 2850 , 2022
Link: https://doi.org/10.3390/..
 
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12

Experimental Comparison of Theory-Guided Deep Learning Algo..:

, In: New Trends in Database and Information Systems; Communications in Computer and Information Science,
Monaco, Simone ; Apiletti, Daniele - p. 256-265 , 2022
Link: https://doi.org/10.1007/..
 
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13

Enhancing manufacturing intelligence through an unsupervise..:

Cerquitelli, Tania ; Ventura, Francesco ; Apiletti, Daniele...
Expert Systems with Applications.  182 (2021)  - p. 115269 , 2021
Link: https://doi.org/10.1016/..
 
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14

Attention to Fires: Multi-Channel Deep Learning Models for ..:

Monaco, Simone ; Greco, Salvatore ; Farasin, Alessandro...
Applied Sciences.  11 (2021)  22 - p. 11060 , 2021
Link: https://doi.org/10.3390/..
 
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15

A Hybrid Cloud-to-Edge Predictive Maintenance Platform:

, In: Information Fusion and Data Science; Predictive Maintenance in Smart Factories,
Marguglio, Angelo ; Veneziano, Giuseppe ; Greco, Pietro... - p. 19-37 , 2021
Link: https://doi.org/10.1007/..
 
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