Nicola Landro

Orcid: 0000-0002-0565-7496

According to our database1, Nicola Landro authored at least 21 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images.
Remote. Sens., January, 2023

A template-independent approach for information extraction in real estate documents.
Proceedings of the Italia Intelligenza Artificiale, 2023

2022
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars.
Remote. Sens., 2022

OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees.
Pattern Recognit. Lett., 2022

Two New Datasets for Italian-Language Abstractive Text Summarization.
Inf., 2022

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions.
Neurocomputing, 2022

2021
Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping.
ISPRS Int. J. Geo Inf., 2021

Learn class hierarchy using convolutional neural networks.
Appl. Intell., 2021

Is One Teacher Model Enough to Transfer Knowledge to a Student Model?
Algorithms, 2021

Combining Optimization Methods Using an Adaptive Meta Optimizer.
Algorithms, 2021

Learning to Navigate in the Gaussian Mixture Surface.
Proceedings of the Computer Analysis of Images and Patterns, 2021

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task.
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
Mixing ADAM and SGD: a Combined Optimization Method.
CoRR, 2020

σ<sup>2</sup>R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions.
CoRR, 2020

Can a powerful neural network be a teacher for a weaker neural network?
CoRR, 2020

Image and Text fusion for UPMC Food-101 using BERT and CNNs.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Improving the Efficient Neural Architecture Search via Rewarding Modifications.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Visual Word Embedding for Text Classification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019
Are These Birds Similar: Learning Branched Networks for Fine-grained Representations.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Picture What You Read.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019


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