Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning. - Ivica Obadic; Gjorgji Madjarov; Ivica Dimitrovski; Dejan Gjorgjevikj (ICT Innovations, 2017)

Exploring Self-Attention for Crop-type Classification Explainability. - Ivica Obadic; Ribana Roscher; Dário Augusto Borges Oliveira; Xiao Xiang Zhu 001 (CoRR, 2022)

MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery. - Sanja Scepanovic; Ivica Obadic; Sagar Joglekar 001; Laura Giustarini; Cristiano Nattero; Daniele Quercia; Xiaoxiang Zhu 001 (NeurIPS, 2023)

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes. - Ivica Obadic; Alex Levering; Lars Pennig; Dário A. B. Oliveira; Diego Marcos; Xiaoxiang Zhu 001 (CVPR Workshops, 2024)

Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing. - Adrian Höhl; Ivica Obadic; Miguel-Ángel Fernández-Torres; Dário A. B. Oliveira; Xiao Xiang Zhu 001 (XAI4CV, 2024)

Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data. - Sugandha Doda; Matthias Kahl; Kim Ouan; Ivica Obadic; Yuanyuan Wang 002; Hannes Taubenböck; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. - Adrian Höhl; Ivica Obadic; Miguel-Ángel Fernández-Torres; Hiba Najjar; Dário A. B. Oliveira; Zeynep Akata; Andreas Dengel 001; Xiao Xiang Zhu 001 (CoRR, 2024)

i-WiViG: Interpretable Window Vision GNN. - Ivica Obadic; Dmitry Kangin; Dário A. B. Oliveira; Plamen P. Angelov; Xiao Xiang Zhu 001 (CoRR, 2025)

MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions. - Minwei Zhao; Sanja Scepanovic; Stephen Law; Daniele Quercia; Ivica Obadic (CoRR, 2025)