Riccardo La Grassa

According to our database, Riccardo La Grassa authored at least 23 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

YOLOLens: A Deep Learning Model Based on Super-Resolution to Enhance the Crater Detection of the Planetary Surfaces.

Riccardo La Grassa, Gabriele Cremonese, Ignazio Gallo, Cristina Re, Elena Martellato

Remote. Sens., March, 2023

Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images.

Ignazio Gallo, Anwar Ur Rehman, Ramin Heidarian Dehkordi, Nicola Landro, Riccardo La Grassa, Mirco Boschetti

Remote. Sens., January, 2023

2022

Hyperspectral Data Compression Using Fully Convolutional Autoencoder.

Riccardo La Grassa, Cristina Re, Gabriele Cremonese, Ignazio Gallo

Remote. Sens., 2022

An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars.

Riccardo La Grassa, Ignazio Gallo, Cristina Re, Gabriele Cremonese, Nicola Landro, Claudio Pernechele, Emanuele Simioni, Mattia Gatti

Remote. Sens., 2022

OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

Pattern Recognit. Lett., 2022

Two New Datasets for Italian-Language Abstractive Text Summarization.

Nicola Landro, Ignazio Gallo, Riccardo La Grassa, Edoardo Federici

Inf., 2022

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

Neurocomputing, 2022

2021

Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping.

Ignazio Gallo, Riccardo La Grassa, Nicola Landro, Mirco Boschetti

ISPRS Int. J. Geo Inf., 2021

Learn class hierarchy using convolutional neural networks.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

Appl. Intell., 2021

Is One Teacher Model Enough to Transfer Knowledge to a Student Model?

Nicola Landro, Ignazio Gallo, Riccardo La Grassa

Algorithms, 2021

Combining Optimization Methods Using an Adaptive Meta Optimizer.

Nicola Landro, Ignazio Gallo, Riccardo La Grassa

Algorithms, 2021

Learning to Navigate in the Gaussian Mixture Surface.

Riccardo La Grassa, Ignazio Gallo, Calogero Vetro, Nicola Landro

Proceedings of the Computer Analysis of Images and Patterns, 2021

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

Mixing ADAM and SGD: a Combined Optimization Method.

Nicola Landro, Ignazio Gallo, Riccardo La Grassa

CoRR, 2020

σ²R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

CoRR, 2020

Can a powerful neural network be a teacher for a weaker neural network?

Nicola Landro, Ignazio Gallo, Riccardo La Grassa

CoRR, 2020

Image and Text fusion for UPMC Food-101 using BERT and CNNs.

Ignazio Gallo, Gianmarco Ria, Nicola Landro, Riccardo La Grassa

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Improving the Efficient Neural Architecture Search via Rewarding Modifications.

Ignazio Gallo, Gabriele Magistrali, Nicola Landro, Riccardo La Grassa

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Visual Word Embedding for Text Classification.

Ignazio Gallo, Shah Nawaz, Nicola Landro, Riccardo La Grassa

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data.

Riccardo La Grassa, Ignazio Gallo, Nicola Landro

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

A Classification Methodology Based on Subspace Graphs Learning.

Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Picture What You Read.

Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees.

Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene

Proceedings of the Computer Analysis of Images and Patterns, 2019