LA GRASSA, RICCARDO

LA GRASSA, RICCARDO  

DIPARTIMENTO DI SCIENZA E ALTA TECNOLOGIA  

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Risultati 1 - 20 di 24 (tempo di esecuzione: 0.044 secondi).
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.