Picture What You Read. - Ignazio Gallo; Shah Nawaz; Alessandro Calefati; Riccardo La Grassa; Nicola Landro (DICTA, 2019)

Are These Birds Similar: Learning Branched Networks for Fine-grained Representations. - Shah Nawaz; Alessandro Calefati; Moreno Caraffini; Nicola Landro; Ignazio Gallo (IVCNZ, 2019)

Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (DICTA, 2020)

Visual Word Embedding for Text Classification. - Ignazio Gallo; Shah Nawaz; Nicola Landro; Riccardo La Grassa (ICPR Workshops (6), 2020)

Improving the Efficient Neural Architecture Search via Rewarding Modifications. - Ignazio Gallo; Gabriele Magistrali; Nicola Landro; Riccardo La Grassa (IVCNZ, 2020)

Image and Text fusion for UPMC Food-101 using BERT and CNNs. - Ignazio Gallo; Gianmarco Ria; Nicola Landro; Riccardo La Grassa (IVCNZ, 2020)

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

Mixing ADAM and SGD: a Combined Optimization Method. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (CoRR, 2020)

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (CAIP (1), 2021)

Learning to Navigate in the Gaussian Mixture Surface. - Riccardo La Grassa; Ignazio Gallo; Calogero Vetro; Nicola Landro (CAIP (1), 2021)

Combining Optimization Methods Using an Adaptive Meta Optimizer. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (Algorithms, 2021)

Is One Teacher Model Enough to Transfer Knowledge to a Student Model? - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (Algorithms, 2021)

Learn class hierarchy using convolutional neural networks. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (Appl. Intell., 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)

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (Neurocomputing, 2022)

Two New Datasets for Italian-Language Abstractive Text Summarization. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa; Edoardo Federici (Inf., 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)

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)

Enhancing crop segmentation in satellite image time-series with transformer networks. - Ignazio Gallo; Mattia Gatti; Nicola Landro; Christian Loschiavo; Mirco Boschetti; Riccardo La Grassa; Anwar Ur Rehman (ICMV, 2023)

Distortion-aware super-resolution for planetary exploration images. - Nicola Landro; Ignazio Gallo; Filippo Pelosi; Riccardo La Grassa; Anwar Ur Rehman (ICMV, 2023)

A template-independent approach for information extraction in real estate documents. - Nicola Landro; Gabriele Destro; Stefano Taverni; Ignazio Gallo (Ital-IA, 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., 2023)

Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks. - Ignazio Gallo; Mattia Gatti; Nicola Landro; Christian Loschiavo; Mirco Boschetti; Riccardo La Grassa (CoRR, 2024)