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Savvas Karatsiolis
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Journal Articles
- 2024
- [j5]Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris:
Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning. Remote. Sens. 16(1): 142 (2024) - 2022
- [j4]Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris:
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j3]Savvas Karatsiolis, Andreas Kamilaris, Ian Cole:
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning. Remote. Sens. 13(12): 2417 (2021) - 2020
- [j2]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular domain-to-domain translation network. Neural Comput. Appl. 32(11): 6779-6791 (2020) - [j1]Savvas Karatsiolis, Christos N. Schizas:
Conditional Generative Denoising Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4117-4129 (2020)
Conference and Workshop Papers
- 2023
- [c10]Savvas Karatsiolis, Andreas Kamilaris:
A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models. VISIGRAPP (4: VISAPP) 2023: 39-46 - 2022
- [c9]Chirag Padubidri, Andreas Kamilaris, Savvas Karatsiolis:
Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning. PerCom Workshops 2022: 451-456 - 2021
- [c8]Indrajit Kalita, Savvas Karatsiolis, Andreas Kamilaris:
Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning. CAIP (2) 2021: 24-35 - [c7]Savvas Karatsiolis, Andreas Kamilaris:
Converting Image Labels to Meaningful and Information-rich Embeddings. ICPRAM 2021: 107-119 - [c6]Andreas Kamilaris, Jesper C. Provoost, Jean-Baptiste Filippi, Chirag Padubidri, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou:
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. PerCom Workshops 2021: 129-134 - 2019
- [c5]Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis:
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. CAIP Workshops 2019: 81-90 - 2018
- [c4]Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov:
Modular Domain-to-Domain Translation Network. ICANN (3) 2018: 425-435 - 2015
- [c3]Savvas Karatsiolis, Christos N. Schizas:
Feature Mapping Through Maximization of the Atomic Interclass Distances. SLDS 2015: 75-85 - 2014
- [c2]Savvas Karatsiolis, Christos N. Schizas:
Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time. IJCCI (ECTA) 2014: 259-265 - 2012
- [c1]Savvas Karatsiolis, Christos N. Schizas:
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset. BIBE 2012: 139-144
Informal and Other Publications
- 2022
- [i7]Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris:
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images. CoRR abs/2205.04056 (2022) - [i6]Savvas Karatsiolis, Andreas Kamilaris:
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models. CoRR abs/2209.08906 (2022) - 2021
- [i5]Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper C. Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou:
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time. CoRR abs/2102.11558 (2021) - [i4]Savvas Karatsiolis, Andreas Kamilaris:
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning. CoRR abs/2104.10874 (2021) - 2020
- [i3]Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres:
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning. CoRR abs/2007.08907 (2020) - [i2]Savvas Karatsiolis, Andreas Kamilaris:
The pursuit of beauty: Converting image labels to meaningful vectors. CoRR abs/2008.00665 (2020) - 2019
- [i1]Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis:
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. CoRR abs/1908.06472 (2019)
Coauthor Index
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