Addressing item-cold start problem in recommendation systems using model based approach and deep learning I Obadić, G Madjarov, I Dimitrovski, D Gjorgjevikj ICT Innovations 2017: Data-Driven Innovation. 9th International Conference …, 2017 | 12 | 2017 |
Exploring self-attention for crop-type classification explainability I Obadic, R Roscher, DAB Oliveira, XX Zhu arXiv preprint arXiv:2210.13167, 2022 | 6 | 2022 |
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery S Scepanovic, I Obadic, S Joglekar, L Giustarini, C Nattero, D Quercia, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes A Höhl, S Ofori-Ampofo, I Obadic, MÁ Fernández-Torres, R Salih Kuzu, ... EGU General Assembly Conference Abstracts, EGU-15540, 2023 | 1 | 2023 |
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes I Obadic, A Levering, L Pennig, D Oliveira, D Marcos, X Zhu arXiv preprint arXiv:2404.09768, 2024 | | 2024 |
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data S Doda, M Kahl, K Ouan, I Obadic, Y Wang, H Taubenböck, XX Zhu International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | | 2024 |
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing A Höhl, I Obadic, MÁF Torres, H Najjar, D Oliveira, Z Akata, A Dengel, ... arXiv preprint arXiv:2402.13791, 2024 | | 2024 |