Savvas Karatsiolis

27 papers C 3Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Domain Adaptation via Feature Refinement.
CoRR
Savvas Karatsiolis, Andreas Kamilaris
2025 J jnl
GAEA: Experiences and Lessons Learned from a Country-Scale Environmental Digital Twin.
CoRR
Andreas Kamilaris, Chirag Padubidri, Asfa Jamil, Arslan Amin, Indrajit Kalita, Jyoti Harti, Savvas Karatsiolis, Aytac Guley
2025 J jnl
Poultry Farm Intelligence: An Integrated Multi-Sensor AI Platform for Enhanced Welfare and Productivity.
CoRR
Pieris Panagi, Savvas Karatsiolis, Kyriacos Mosphilis, Nicolas Hadjisavvas, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis, Vassilis Vassiliades
2024 J jnl
A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus.
Remote. Sens.
Arslan Amin, Andreas Kamilaris, Savvas Karatsiolis
2024 J jnl
Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning.
Remote. Sens.
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
2024 C conf
Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics.
FedCSIS
Savvas Karatsiolis, Pieris Panagi, Vassilis Vassiliades, Andreas Kamilaris, Nicolas Nicolaou, Efstathios Stavrakis
2023 — conf
A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models.
VISIGRAPP (4: VISAPP)
Savvas Karatsiolis, Andreas Kamilaris
2022 J jnl
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models.
CoRR
Savvas Karatsiolis, Andreas Kamilaris
2022 — conf
Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning.
PerCom Workshops
Chirag Padubidri, Andreas Kamilaris, Savvas Karatsiolis
2022 J jnl
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images.
CoRR
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
2022 J jnl
Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images.
IEEE Trans. Geosci. Remote. Sens.
Savvas Karatsiolis, Chirag Padubidri, Andreas Kamilaris
2021 C conf
Converting Image Labels to Meaningful and Information-rich Embeddings.
ICPRAM
Savvas Karatsiolis, Andreas Kamilaris
2021 — conf
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time.
PerCom Workshops
Andreas Kamilaris, Jesper C. Provoost, Jean-Baptiste Filippi, Chirag Padubidri, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou
2021 J jnl
EscapeWildFire: Assisting People to Escape Wildfires in Real-Time.
CoRR
Andreas Kamilaris, Jean-Baptiste Filippi, Chirag Padubidri, Jesper C. Provoost, Savvas Karatsiolis, Ian Cole, Wouter Couwenbergh, Evi Demetriou
2021 J jnl
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning.
CoRR
Savvas Karatsiolis, Andreas Kamilaris
2021 J jnl
IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning.
Remote. Sens.
Savvas Karatsiolis, Andreas Kamilaris, Ian Cole
2021 — conf
Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning.
CAIP (2)
Indrajit Kalita, Savvas Karatsiolis, Andreas Kamilaris
2020 J jnl
Conditional Generative Denoising Autoencoder.
IEEE Trans. Neural Networks Learn. Syst.
Savvas Karatsiolis, Christos N. Schizas
2020 J jnl
Identification of Tree Species in Japanese Forests based on Aerial Photography and Deep Learning.
CoRR
Sarah Kentsch, Savvas Karatsiolis, Andreas Kamilaris, Luca Tomhave, Maximo Larry Lopez Caceres
2020 J jnl
Modular domain-to-domain translation network.
Neural Comput. Appl.
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
2020 J jnl
The pursuit of beauty: Converting image labels to meaningful vectors.
CoRR
Savvas Karatsiolis, Andreas Kamilaris
2019 — conf
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles.
CAIP Workshops
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
2019 J jnl
Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles.
CoRR
Andreas Kamilaris, Corjan van den Brink, Savvas Karatsiolis
2018 — conf
Modular Domain-to-Domain Translation Network.
ICANN (3)
Savvas Karatsiolis, Christos N. Schizas, Nicolai Petkov
2015 — conf
Feature Mapping Through Maximization of the Atomic Interclass Distances.
SLDS
Savvas Karatsiolis, Christos N. Schizas
2014 — conf
Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time.
IJCCI (ECTA)
Savvas Karatsiolis, Christos N. Schizas
2012 C conf
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset.
BIBE
Savvas Karatsiolis, Christos N. Schizas