Savvas Karatsiolis

Orcid: 0000-0002-4034-7709

According to our database1, Savvas Karatsiolis authored at least 17 papers between 2012 and 2024.

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

2024
Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning.
Remote. Sens., January, 2024

2023
A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

2021
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning.
Remote. Sens., 2021

Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning.
CoRR, 2021

EscapeWildFire: Assisting People to Escape Wildfires in Real-Time.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Converting Image Labels to Meaningful and Information-rich Embeddings.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
Conditional Generative Denoising Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., 2020

Modular domain-to-domain translation network.
Neural Comput. Appl., 2020

The pursuit of beauty: Converting image labels to meaningful vectors.
CoRR, 2020

Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning.
CoRR, 2020

2019
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2015
Feature Mapping Through Maximization of the Atomic Interclass Distances.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

2014
Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time.
Proceedings of the ECTA 2014, 2014

2012
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012


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