E-LIB Suche - Ergebnisse für: LA GRASSA, Riccardo

1

In-season and dynamic crop mapping using 3D convolution neu..:

Gallo, Ignazio ; Ranghetti, Luigi ; Landro, Nicola..
ISPRS Journal of Photogrammetry and Remote Sensing. 195 (2023) - p. 335-352 , 2023

Link: https://doi.org/10.1016/..

2

Deep Object Detection of Crop Weeds: Performance of YOLOv7 ..:

Gallo, Ignazio ; Rehman, Anwar Ur ; Dehkordi, Ramin Heidarian...
Remote Sensing. 15 (2023) 2 - p. 539 , 2023

Link: https://doi.org/10.3390/..

3

YOLOLens: A Deep Learning Model Based on Super-Resolution t..:

La Grassa, Riccardo ; Cremonese, Gabriele ; Gallo, Ignazio..
Remote Sensing. 15 (2023) 5 - p. 1171 , 2023

Link: https://doi.org/10.3390/..

4

OCmst: One-class novelty detection using convolutional neur..:

La Grassa, Riccardo ; Gallo, Ignazio ; Landro, Nicola
Pattern Recognition Letters. 155 (2022) - p. 114-120 , 2022

Link: https://doi.org/10.1016/..

5

Two New Datasets for Italian-Language Abstractive Text Summ..:

Landro, Nicola ; Gallo, Ignazio ; La Grassa, Riccardo.
Information. 13 (2022) 5 - p. 228 , 2022

Link: https://doi.org/10.3390/..

6

Hyperspectral Data Compression Using Fully Convolutional Au..:

La Grassa, Riccardo ; Re, Cristina ; Cremonese, Gabriele.
Remote Sensing. 14 (2022) 10 - p. 2472 , 2022

Link: https://doi.org/10.3390/..

7

An Adversarial Generative Network Designed for High-Resolut..:

La Grassa, Riccardo ; Gallo, Ignazio ; Re, Cristina...
Remote Sensing. 14 (2022) 18 - p. 4619 , 2022

Link: https://doi.org/10.3390/..

8

σ2R loss: A weighted loss by multiplicative factors using s..:

La Grassa, Riccardo ; Gallo, Ignazio ; Landro, Nicola
Neurocomputing. 470 (2022) - p. 217-225 , 2022

Link: https://doi.org/10.1016/..

9

Food Recommendations for Reducing Water Footprint:

Gallo, Ignazio ; Landro, Nicola ; La Grassa, Riccardo.
Sustainability. 14 (2022) 7 - p. 3833 , 2022

Link: https://doi.org/10.3390/..

10

Learn class hierarchy using convolutional neural networks:

La Grassa, Riccardo ; Gallo, Ignazio ; Landro, Nicola
Applied Intelligence. 51 (2021) 10 - p. 6622-6632 , 2021

Link: https://doi.org/10.1007/..

11

Learning to Navigate in the Gaussian Mixture Surface:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,

La Grassa, Riccardo ; Gallo, Ignazio ; Vetro, Calogero. - p. 414-423 , 2021

Link: https://doi.org/10.1007/..

12

Combining Optimization Methods Using an Adaptive Meta Optim..:

Landro, Nicola ; Gallo, Ignazio ; La Grassa, Riccardo
Algorithms. 14 (2021) 6 - p. 186 , 2021

Link: https://doi.org/10.3390/..

13

Sentinel 2 Time Series Analysis with 3D Feature Pyramid Net..:

Gallo, Ignazio ; La Grassa, Riccardo ; Landro, Nicola.
ISPRS International Journal of Geo-Information. 10 (2021) 7 - p. 483 , 2021

Link: https://doi.org/10.3390/..

14

EnGraf-Net: Multiple Granularity Branch Network with Fine-C..:

, In: Computer Analysis of Images and Patterns; Lecture Notes in Computer Science,

La Grassa, Riccardo ; Gallo, Ignazio ; Landro, Nicola - p. 393-402 , 2021

Link: https://doi.org/10.1007/..

15

Is One Teacher Model Enough to Transfer Knowledge to a Stud..:

Landro, Nicola ; Gallo, Ignazio ; La Grassa, Riccardo
Algorithms. 14 (2021) 11 - p. 334 , 2021

Link: https://doi.org/10.3390/..