Savvas Karatsiolis

According to our database, Savvas Karatsiolis authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning.

Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris

Remote. Sens., January, 2024

Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics.

Savvas Karatsiolis, Pieris Panagi, Vassilis Vassiliades, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis

Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023

A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models.

Savvas Karatsiolis, Andreas Kamilaris

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images.

Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris

IEEE Trans. Geosci. Remote. Sens., 2022

Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning.

Chirag Padubidri, Andreas Kamilaris, Savvas Karatsiolis

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.

Savvas Karatsiolis, Andreas Kamilaris, Ian Cole

Remote. Sens., 2021

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

Savvas Karatsiolis, Andreas Kamilaris

CoRR, 2021

EscapeWildFire: Assisting People to Escape Wildfires in Real-Time.

Andreas Kamilaris, Jesper C. Provoost, Jean-Baptiste Filippi, Chirag Padubidri, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou

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.

Savvas Karatsiolis, Andreas Kamilaris

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.

Indrajit Kalita, Savvas Karatsiolis, Andreas Kamilaris

Proceedings of the Computer Analysis of Images and Patterns, 2021

2020

Conditional Generative Denoising Autoencoder.

Savvas Karatsiolis, Christos N. Schizas

IEEE Trans. Neural Networks Learn. Syst., 2020

Modular domain-to-domain translation network.

Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov

Neural Comput. Appl., 2020

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

Savvas Karatsiolis, Andreas Kamilaris

CoRR, 2020

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

Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres

CoRR, 2020

2019

Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles.

Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis

Proceedings of the Computer Analysis of Images and Patterns, 2019

2015

Feature Mapping Through Maximization of the Atomic Interclass Distances.

Savvas Karatsiolis, Christos N. Schizas

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.

Savvas Karatsiolis, Christos N. Schizas

Proceedings of the ECTA 2014, 2014

2012

Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset.

Savvas Karatsiolis, Christos N. Schizas

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012