Riccardo La Grassa

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 29

Top Topics

Minimum Spanning Trees

Convolutional Neural Networks

Class Hierarchy

Optimization Methods

Top Venues

Publications

Ignazio Gallo, Anwar Ur Rehman, Ramin Heidarian Dehkordi, Nicola Landro, Riccardo La Grassa, Mirco Boschetti
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images. Remote. Sens. 15 (2) (2023)
Riccardo La Grassa, Gabriele Cremonese, Ignazio Gallo, Cristina Re, Elena Martellato
YOLOLens: A Deep Learning Model Based on Super-Resolution to Enhance the Crater Detection of the Planetary Surfaces. Remote. Sens. 15 (5) (2023)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions. Neurocomputing 470 (2022)
Riccardo La Grassa, Ignazio Gallo, Cristina Re, Gabriele Cremonese, Nicola Landro, Claudio Pernechele, Emanuele Simioni, Mattia Gatti
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars. Remote. Sens. 14 (18) (2022)
Riccardo La Grassa, Cristina Re, Gabriele Cremonese, Ignazio Gallo
Hyperspectral Data Compression Using Fully Convolutional Autoencoder. Remote. Sens. 14 (10) (2022)
Nicola Landro, Ignazio Gallo, Riccardo La Grassa, Edoardo Federici
Two New Datasets for Italian-Language Abstractive Text Summarization. Inf. 13 (5) (2022)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees. Pattern Recognit. Lett. 155 (2022)
Riccardo La Grassa, Ignazio Gallo, Calogero Vetro, Nicola Landro
Learning to Navigate in the Gaussian Mixture Surface. CAIP (1) (2021)
Nicola Landro, Ignazio Gallo, Riccardo La Grassa
Combining Optimization Methods Using an Adaptive Meta Optimizer. Algorithms 14 (6) (2021)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
Learn class hierarchy using convolutional neural networks. Appl. Intell. 51 (10) (2021)
Nicola Landro, Ignazio Gallo, Riccardo La Grassa
Is One Teacher Model Enough to Transfer Knowledge to a Student Model? Algorithms 14 (11) (2021)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task. CAIP (1) (2021)
Ignazio Gallo, Riccardo La Grassa, Nicola Landro, Mirco Boschetti
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping. ISPRS Int. J. Geo Inf. 10 (7) (2021)
Nicola Landro, Ignazio Gallo, Riccardo La Grassa
Mixing ADAM and SGD: a Combined Optimization Method. CoRR (2020)
Ignazio Gallo, Gabriele Magistrali, Nicola Landro, Riccardo La Grassa
Improving the Efficient Neural Architecture Search via Rewarding Modifications. IVCNZ (2020)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees. CoRR (2020)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. DICTA (2020)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
Learn Class Hierarchy using Convolutional Neural Networks. CoRR (2020)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions. CoRR (2020)
Ignazio Gallo, Shah Nawaz, Nicola Landro, Riccardo La Grassa
Visual Word Embedding for Text Classification. ICPR Workshops (6) (2020)
Nicola Landro, Ignazio Gallo, Riccardo La Grassa
Can a powerful neural network be a teacher for a weaker neural network? CoRR (2020)
Ignazio Gallo, Gianmarco Ria, Nicola Landro, Riccardo La Grassa
Image and Text fusion for UPMC Food-101 using BERT and CNNs. IVCNZ (2020)
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. CoRR (2020)
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene
A Classification Methodology Based on Subspace Graphs Learning. DICTA (2019)
Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro
Picture What You Read. DICTA (2019)
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene
Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees. CAIP (2) (2019)
Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro
Picture What you Read. CoRR (2019)
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees. CoRR (2019)
Riccardo La Grassa, Ignazio Gallo, Alessandro Calefati, Dimitri Ognibene
A Classification Methodology based on Subspace Graphs Learning. CoRR (2019)