LA GRASSA, RICCARDO
LA GRASSA, RICCARDO
DIPARTIMENTO DI SCIENZA E ALTA TECNOLOGIA
A Classification Methodology Based on Subspace Graphs Learning
2019-01-01 La Grassa, R.; Gallo, I.; Calefati, A.; Ognibene, D.
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars
2022-01-01 La Grassa, Riccardo; Gallo, Ignazio; Re, Cristina; Cremonese, Gabriele; Landro, Nicola; Pernechele, Claudio; Simioni, Emanuele; Gatti, Mattia
Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees
2019-01-01 La Grassa, R.; Gallo, I.; Calefati, A.; Ognibene, D.
Combining optimization methods using an adaptive meta optimizer
2021-01-01 Landro, N.; Gallo, I.; La Grassa, R.
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
2023-01-01 Gallo, Ignazio; Rehman, Anwar Ur; Dehkordi, Ramin Heidarian; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco
Distortion-aware super-resolution for planetary exploration images
2024-01-01 Landro, Nicola; Gallo, Ignazio; Pelosi, Filippo; La Grassa, Riccardo; Rehman, Anwar Ur
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data
2020-01-01 LA Grassa, R.; Gallo, I.; Landro, N.
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
2021-01-01 La Grassa, R.; Gallo, I.; Landro, N.
Enhancing crop segmentation in satellite image time-series with transformer networks
2024-01-01 Gallo, Ignazio; Gatti, Mattia; Landro, Nicola; Lo Schiavo, Christian; Boschetti, Mirco; La Grassa, Riccardo; Rehman, Anwar Ur
Food Recommendations for Reducing Water Footprint
2022-01-01 Gallo, Ignazio; Landro, Nicola; La Grassa, Riccardo; Turconi, Andrea
Hyperspectral Data Compression Using Fully Convolutional Autoencoder
2022-01-01 La Grassa, Riccardo; Re, Cristina; Cremonese, Gabriele; Gallo, Ignazio
Image and Text fusion for UPMC Food-101 using BERT and CNNs
2020-01-01 Gallo, Ignazio; Ria, Gianmarco; Landro, Nicola; Grassa, Riccardo La
Improving the Efficient Neural Architecture Search via Rewarding Modifications
2020-01-01 Gallo, Ignazio; Magistrali, Gabriele; Landro, Nicola; Grassa, Riccardo La
In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series
2023-01-01 Gallo, Ignazio; Ranghetti, Luigi; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco
Is one teacher model enough to transfer knowledge to a student model?
2021-01-01 Landro, N.; Gallo, I.; La Grassa, R.
Learn class hierarchy using convolutional neural networks
2021-01-01 La Grassa, R.; Gallo, I.; Landro, N.
Learning to Navigate in the Gaussian Mixture Surface
2021-01-01 La Grassa, R.; Gallo, I.; Vetro, C.; Landro, N.
OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees
2021-01-01 La Grassa, R.; Gallo, I.; Landro, N.
Picture What you Read
2019-01-01 Gallo, I.; Nawaz, S.; Calefati, A.; LA GRASSA, Riccardo; Landro, Nicola
Sentinel 2 time series analysis with 3d feature pyramid network and time domain class activation intervals for crop mapping
2021-01-01 Gallo, I.; La Grassa, R.; Landro, N.; Boschetti, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Classification Methodology Based on Subspace Graphs Learning | 1-gen-2019 | La Grassa, R.; Gallo, I.; Calefati, A.; Ognibene, D. | |
| An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars | 1-gen-2022 | La Grassa, Riccardo; Gallo, Ignazio; Re, Cristina; Cremonese, Gabriele; Landro, Nicola; Pernechele, Claudio; Simioni, Emanuele; Gatti, Mattia | |
| Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees | 1-gen-2019 | La Grassa, R.; Gallo, I.; Calefati, A.; Ognibene, D. | |
| Combining optimization methods using an adaptive meta optimizer | 1-gen-2021 | Landro, N.; Gallo, I.; La Grassa, R. | |
| Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images | 1-gen-2023 | Gallo, Ignazio; Rehman, Anwar Ur; Dehkordi, Ramin Heidarian; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco | |
| Distortion-aware super-resolution for planetary exploration images | 1-gen-2024 | Landro, Nicola; Gallo, Ignazio; Pelosi, Filippo; La Grassa, Riccardo; Rehman, Anwar Ur | |
| Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data | 1-gen-2020 | LA Grassa, R.; Gallo, I.; Landro, N. | |
| EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task | 1-gen-2021 | La Grassa, R.; Gallo, I.; Landro, N. | |
| Enhancing crop segmentation in satellite image time-series with transformer networks | 1-gen-2024 | Gallo, Ignazio; Gatti, Mattia; Landro, Nicola; Lo Schiavo, Christian; Boschetti, Mirco; La Grassa, Riccardo; Rehman, Anwar Ur | |
| Food Recommendations for Reducing Water Footprint | 1-gen-2022 | Gallo, Ignazio; Landro, Nicola; La Grassa, Riccardo; Turconi, Andrea | |
| Hyperspectral Data Compression Using Fully Convolutional Autoencoder | 1-gen-2022 | La Grassa, Riccardo; Re, Cristina; Cremonese, Gabriele; Gallo, Ignazio | |
| Image and Text fusion for UPMC Food-101 using BERT and CNNs | 1-gen-2020 | Gallo, Ignazio; Ria, Gianmarco; Landro, Nicola; Grassa, Riccardo La | |
| Improving the Efficient Neural Architecture Search via Rewarding Modifications | 1-gen-2020 | Gallo, Ignazio; Magistrali, Gabriele; Landro, Nicola; Grassa, Riccardo La | |
| In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series | 1-gen-2023 | Gallo, Ignazio; Ranghetti, Luigi; Landro, Nicola; La Grassa, Riccardo; Boschetti, Mirco | |
| Is one teacher model enough to transfer knowledge to a student model? | 1-gen-2021 | Landro, N.; Gallo, I.; La Grassa, R. | |
| Learn class hierarchy using convolutional neural networks | 1-gen-2021 | La Grassa, R.; Gallo, I.; Landro, N. | |
| Learning to Navigate in the Gaussian Mixture Surface | 1-gen-2021 | La Grassa, R.; Gallo, I.; Vetro, C.; Landro, N. | |
| OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees | 1-gen-2021 | La Grassa, R.; Gallo, I.; Landro, N. | |
| Picture What you Read | 1-gen-2019 | Gallo, I.; Nawaz, S.; Calefati, A.; LA GRASSA, Riccardo; Landro, Nicola | |
| Sentinel 2 time series analysis with 3d feature pyramid network and time domain class activation intervals for crop mapping | 1-gen-2021 | Gallo, I.; La Grassa, R.; Landro, N.; Boschetti, M. |