News

• Koubarakis M., Kefalidis S., Plas K., Tsokanaridou M., Demir B., Hoxha G., Hackstein J., Corsi M., Leoni C., Pasquali G., Pratola C., Tilia S., Longepe N. A digital assistant for digital twins of the Earth.

• Koubarakis M., Kefalidis S., Plas K., Tsokanaridou M., Demir B., Hoxha G., Hackstein J., Corsi M., Leoni C., Pasquali G., Pratola C., Tilia S., Longepe N. A digital assistant for digital twins of the Earth.

UoA presented one paper at IGARSS 2024:

• Dimitris Bilidas, Anastasios Mantas, Filippos Yfantis, George Stamoulis, Manolis Koubarakis, José María Tárraga Habas, Eva Sevillano Marco, Fabien Castel, Camille Laine. The Semantic Data Cube System Plato and Its Applications, IEEE IGARSS, 2024.

TUB presented one paper at IGARSS 2024:

• Tom Burgert, Begüm Demir. Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images, IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024.

• Dimitris Bilidas, Anastasios Mantas, Filippos Yfantis, George Stamoulis, Manolis Koubarakis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis. Fire Risk Management using Data Cubes, Machine Learning and OBDA systems (Demo Paper) The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '23), November 13-16, 2023, Hamburg, Germany
• Maria Despoina Siampou, George Papadakis, Nikos Mamoulis, Manolis Koubarakis. Supervised Scheduling for Geospatial Interlinking The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '23), November 13-16, 2023, Hamburg, Germany

• Marco Corsi, Giorgio Pasquali, Chiara Pratola, Simone Tilia, Sergios-Anestis Kefalidis, Konstantinos Plas, Mariangela Pollali, Eleni Tsalapati, Myrto Tsokanaridou, Manolis Koubarakis, Kai Norman Clasen, Leonard Hackel, Jakob Hackstein, Gencer Sumbul, Begüm Demir and Nicolas Longépé. DA4DTE: DEVELOPING A DIGITAL ASSISTANT FOR SATELLITE DATA ARCHIVES Conference on Big Data from Space (BiDS23) 2023, Vienna, Austria, 6-9 November, 2023
• Dimitris Bilidas, Anastasios Mantas, Filippos Yfantis, George Stamoulis and Manolis Koubarakis. Plato: A Semantic Data Cube Implementation using Ontology-Based Data Access Technologies (Poster) Conference on Big Data from Space (BiDS23) 2023, Vienna, Austria, 6-9 November, 2023

• Sergios-Anestis Kefalidis, Dharmen Punjani, Eleni Tsalapati, Konstantinos Plas, Mariangela Pollali, Michail Mitsios, Myrto Tsokanaridou, Manolis Koubarakis, Pierre Maret, Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089, International Semantic Web Conference, 2023.
• Eleni Tsalapati, Markos Iliakis and Manolis Koubarakis. Location Query Answering Using Box Embeddings. Workshop at International Semantic Web Conference 2023: Deep Learning for Knowledge Graphs, November 6-10, Athens, Greece

• Dharmen Punjani, Sergios-Anestis Kefalidis, Konstantinos Plas, Eleni Tsalapati, Manolis Koubarakis, and Pierre Maret. The Question Answering System GeoQA2. The 2nd International Workshop on Geospatial Knowledge Graphs and GeoAI: Methods, Models, and Resources, Leeds, UK, 12 September, 2023

UoA presented one paper at IGARSS 2023:

• Dharmen Punjani, Manolis Koubarakis, Eleni Tsalapati, EarthQA: A Question Answering Engine for Earth Observation Data Archives, IEEE IGARSS, 2023.

TuB presented five papers at IGARSS 2023:

• Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir, LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing, IEEE IGARSS, 2023.
• Julia Henkel, Genc Hoxha, Gencer Sümbül, Lars Möllenbrok, Begüm Demir, Annotation Cost Efficient Active Learning for Remote Sensing Image Retrieval, IEEE IGARSS, 2023.
• David Hoffmann, Kai Norman Clasen, Begüm Demir, Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification, IEEE IGARSS, 2023.
• Gencer Sumbul, Begüm Demir, Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing, IEEE IGARSS, 2023.
• Lars Möllenbrok, Begüm Demir, Active Learning Guided Fine-Tuning for Enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images, IEEE IGARSS, 2023