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Epicoco, Italo
135  Ergebnisse:
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1

Physics-informed loss functions for vertical total electron..:

Asamoah, Eric Nana ; Cafaro, Massimo ; Epicoco, Italo..
Earth Science Informatics.  17 (2024)  3 - p. 2569-2586 , 2024
Link: https://doi.org/10.1007/..
 
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2

State-of-the-Art Future Internet Technology in Italy 2022–2..:

Cafaro, Massimo ; Epicoco, Italo ; Pulimeno, Marco
Future Internet.  16 (2024)  2 - p. 53 , 2024
Link: https://doi.org/10.3390/..
 
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3

A stacked machine learning model for the vertical total ele..:

Asamoah, Eric Nana ; Cafaro, Massimo ; Epicoco, Italo..
Advances in Space Research.  74 (2024)  1 - p. 223-242 , 2024
Link: https://doi.org/10.1016/..
 
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4

The computational and energy cost of simulation and storage..:

Acosta, Mario C. ; Palomas, Sergi ; Paronuzzi Ticco, Stella V....
Geoscientific Model Development.  17 (2024)  8 - p. 3081-3098 , 2024
Link: https://doi.org/10.5194/..
 
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5

Data stream fusion for accurate quantile tracking and analy..:

Cafaro, Massimo ; Melle, Catiuscia ; Epicoco, Italo.
Information Fusion.  89 (2023)  - p. 155-165 , 2023
Link: https://doi.org/10.1016/..
 
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6

Grid-Based Contraction Clustering in a Peer-to-Peer Network:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,
Mariani, Antonio ; Epicoco, Italo ; Cafaro, Massimo. - p. 373-387 , 2023
Link: https://doi.org/10.1007/..
 
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7

Smart Meters and Customer Consumption Behavior: An Explorat..:

, In: Extended Reality; Lecture Notes in Computer Science,
Benali, Ahmed Ala Eddine ; Cafaro, Massimo ; Epicoco, Italo... - p. 356-363 , 2023
Link: https://doi.org/10.1007/..
 
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8

Toward Enhanced Support for Ship Sailing:

Cafaro, Massimo ; Epicoco, Italo ; Pulimeno, Marco.
IEEE Access.  11 (2023)  - p. 87047-87061 , 2023
Link: https://doi.org/10.1109/..
 
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9

Parallel implementation of the SHYFEM (System of HydrodYnam..:

Micaletto, Giorgio ; Barletta, Ivano ; Mocavero, Silvia...
Geoscientific Model Development.  15 (2022)  15 - p. 6025-6046 , 2022
Link: https://doi.org/10.5194/..
 
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10

An Adaptive Clustering Approach for Distributed Outlier Det..:

, In: Distributed Computing and Artificial Intelligence, 19th International Conference; Lecture Notes in Networks and Systems,
Monaca, Andrea Della ; Cafaro, Massimo ; Pulimeno, Marco. - p. 86-99 , 2022
Link: https://doi.org/10.1007/..
 
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11

Deterministic, Fast and Accurate Solution of the Heavy Hitt..:

Fornaio, Anna ; Epicoco, Italo ; Pulimeno, Marco.
IEEE Access.  10 (2022)  - p. 106386-106399 , 2022
Link: https://doi.org/10.1109/..
 
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12

AFQN: approximate Qn estimation in data streams:

Epicoco, Italo ; Melle, Catiuscia ; Cafaro, Massimo.
Applied Intelligence.  52 (2021)  5 - p. 5082-5099 , 2021
Link: https://doi.org/10.1007/..
 
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13

Distributed mining of time-faded heavy hitters:

Pulimeno, Marco ; Epicoco, Italo ; Cafaro, Massimo
Information Sciences.  545 (2021)  - p. 633-662 , 2021
Link: https://doi.org/10.1016/..
 
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14

Fast online computation of the Qn estimator with applicatio..:

Cafaro, Massimo ; Melle, Catiuscia ; Pulimeno, Marco.
Expert Systems with Applications.  164 (2021)  - p. 113831 , 2021
Link: https://doi.org/10.1016/..
 
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15

On Frequency Estimation and Detection of Heavy Hitters in D..:

Ventruto, Federica ; Pulimeno, Marco ; Cafaro, Massimo.
Future Internet.  12 (2020)  9 - p. 158 , 2020
Link: https://doi.org/10.3390/..
 
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