Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset. - Savvas Karatsiolis; Christos N. Schizas (BIBE, 2012)

Implementing a Software Cache for Genetic Programming Algorithms for Reducing Execution Time. - Savvas Karatsiolis; Christos N. Schizas (IJCCI (ECTA), 2014)

Feature Mapping Through Maximization of the Atomic Interclass Distances. - Savvas Karatsiolis; Christos N. Schizas (SLDS, 2015)

Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. - Andreas Kamilaris; Corjan van den Brink; Savvas Karatsiolis (CAIP Workshops, 2019)

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)

The pursuit of beauty: Converting image labels to meaningful vectors. - Savvas Karatsiolis; Andreas Kamilaris (CoRR, 2020)

Modular domain-to-domain translation network. - Savvas Karatsiolis; Christos N. Schizas; Nicolai Petkov (Neural Comput. Appl., 2020)

Conditional Generative Denoising Autoencoder. - Savvas Karatsiolis; Christos N. Schizas (IEEE Trans. Neural Networks Learn. Syst., 2020)

Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning. - Indrajit Kalita; Savvas Karatsiolis; Andreas Kamilaris (CAIP (2), 2021)

Converting Image Labels to Meaningful and Information-rich Embeddings. - Savvas Karatsiolis; Andreas Kamilaris (ICPRAM, 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 (PerCom Workshops, 2021)

Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning. - Savvas Karatsiolis; Andreas Kamilaris (CoRR, 2021)

IMG2nDSM: Height Estimation from Single Airborne RGB Images with Deep Learning. - Savvas Karatsiolis; Andreas Kamilaris; Ian Cole (Remote. Sens., 2021)

Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning. - Chirag Padubidri; Andreas Kamilaris; Savvas Karatsiolis (PerCom Workshops, 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)

A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models. - Savvas Karatsiolis; Andreas Kamilaris (VISIGRAPP (4: VISAPP), 2023)

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 (FedCSIS, 2024)

A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus. - Arslan Amin; Andreas Kamilaris; Savvas Karatsiolis (Remote. Sens., 2024)

Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning. - Savvas Karatsiolis; Chirag Padubidri; Andreas Kamilaris (Remote. Sens., 2024)