Yago Diez Donoso

Associate Professor

Yamagata University

Japan

Research Interests

Explore related searches

Professors in Japan Professors in Computer Vision Computer Vision professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (12)

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

Benjamin Burkhard

Prof Dr

Leibniz University Hannover

GERMANY

View details

Mariano Cabezas

Macquarie University

AUSTRALIA

View details

CHIARA FERRACINI

University of Turin

ITALY

View details

Daniel Serrano

Head of Unit

Technology Centre of Catalonia Eurecat

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yago Diez Donoso

Research Interests

Explore related searches

Contact this professor

Articles (12)

Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers

An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation

Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments

Treetop Detection in Mountainous Forests Using UAV Terrain Awareness Function

Classifying the Degree of Bark Beetle-Induced Damage on Fir (Abies mariesii) Forests, from UAV-Acquired RGB Images

Automatic Processing of Historical Japanese Mathematics (Wasan) Documents

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260

Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning

Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning

Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data

Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study

Collaborators (4)

Benjamin Burkhard

Mariano Cabezas

CHIARA FERRACINI

Daniel Serrano

Make your next move.