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Pinciroli Vago, Nicolò Oreste
22  results:
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1

Predicting Machine Failures from Multivariate Time Series: ..:

Pinciroli Vago, Nicolò Oreste ; Forbicini, Francesca ; Fraternali, Piero
Machines.  12 (2024)  6 - p. 357 , 2024
Link: https://doi.org/10.3390/..
 
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2

DeepGraviLens: a multi-modal architecture for classifying g..:

Pinciroli Vago, Nicolò Oreste ; Fraternali, Piero
Neural Computing and Applications.  35 (2023)  26 - p. 19253-19277 , 2023
Link: https://doi.org/10.1007/..
 
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3

ODIN AD: A Framework Supporting the Life-Cycle of Time Seri..:

, In: Advanced Analytics and Learning on Temporal Data; Lecture Notes in Computer Science,
Zangrando, Niccoló ; Fraternali, Piero ; Torres, Rocio Nahime... - p. 181-196 , 2023
Link: https://doi.org/10.1007/..
 
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4

Anomaly detection in quasi-periodic energy consumption data..:

Zangrando, Niccolò ; Fraternali, Piero ; Petri, Marco..
Energy Informatics.  5 (2022)  S4 - p. , 2022
Link: https://doi.org/10.1186/..
 
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5

Proposals Generation for Weakly Supervised Object Detection..:

Milani, Federico ; Pinciroli Vago, Nicolò Oreste ; Fraternali, Piero
Journal of Imaging.  8 (2022)  8 - p. 215 , 2022
Link: https://doi.org/10.3390/..
 
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6

Comparing CAM Algorithms for the Identification of Salient ..:

Pinciroli Vago, Nicolò Oreste ; Milani, Federico ; Fraternali, Piero.
Journal of Imaging.  7 (2021)  7 - p. 106 , 2021
Link: https://doi.org/10.3390/..
 
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7

DeepGraviLens: a multi-modal architecture for classifying g..:

PINCIROLI VAGO, Nicolo Oreste ; FRATERNALI, Piero
NEURAL COMPUTING & APPLICATIONS.  , 2023
Link: https://hdl.handle.net/2..
 
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8

Proposals Generation for Weakly Supervised Object Detection..:

Milani, Federico ; Pinciroli Vago, Nicolò Oreste ; Fraternali, Piero
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410216/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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9

On the visualization of semantic-based mappings:

Pinciroli Vago, Nicolo' Oreste ; Sacaj, Mario ; Sadeghi, Mersedeh...
urn:issn:1613-0073.  , 2021
Link: https://hdl.handle.net/1..
 
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10

Comparing CAM Algorithms for the Identification of Salient ..:

Pinciroli Vago, Nicolò Oreste ; Milani, Federico ; Fraternali, Piero.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321385/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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11

Comparing CAM Algorithms for the Identification of Salient ..:

Pinciroli Vago, Nicolo' Oreste ; Milani, Federico ; Fraternali, Piero.
Journal of Imaging. 2021, 7 (7), ..  , 2021
Link: https://hdl.handle.net/1..
 
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12

Using Convolutional Neural Networks for the Helicity Classi..:

Pinciroli Vago, Nicolo' Oreste ; Hameed, Ibrahim A ; Kachelriess, Michael
urn:issn:1824-8039.  , 2021
Link: https://hdl.handle.net/1..
 
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13

Using Convolutional Neural Networks for the Helicity Classi..:

Pinciroli Vago, Nicolò Oreste ; A. Hameed, Ibrahim ; Kachelriess, Michael
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844901106.  , 2021
Link: http://hdl.handle.net/11..
 
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14

DeepGraviLens: a Multi-Modal Architecture for Classifying G..:

Vago, Nicolò Oreste Pinciroli ; Fraternali, Piero
http://arxiv.org/abs/2205.00701.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Using Convolutional Neural Networks for the Helicity Classi..:

Vago, Nicolò Oreste Pinciroli ; Hameed, Ibrahim A ; Kachelriess, Michael
http://arxiv.org/abs/2106.06718.  , 2021
Link: http://arxiv.org/abs/210..
 
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