
Articles in public domain
- Das geht einfach! -GIS Business 2023
- FAIRiCUBE Goes IGARSS – GIS Resources– GeoConnection 2023
- GreenCube: Green Datacube Analytics– GeoConnection 2023
- Vienna City Fly: Was die Wiener Fruchtfliege ausmacht – ORF science section 2025
- Die lästigen Fruchtfliegen sind eigentlich total sinnvoll – Die Presse 2025
- Drosophila melanogaster – die Fliege aus der Innenstadt – Falter 2025
- Policy Brief: Unlocking The Full Potential Of The Green Deal Data Space – Zenodo 2025
Scientific articles
- P. Baumann, On the analysis-readiness of spatio-temporal Earth data and suggestions for its enhancement, Environmental Modelling & Software, Volume 176, 2024, 106017, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2024.106017.
- Nunez, Coronado-Zamora, et al., Footprints of worldwide adaptation in structured populations of D. melanogaster through the expanded DEST 2.0 genomic resource. BioRxiv preprint doi: https://doi.org/10.1101/2024.11.10.622744
- Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker, Query-driven Qualitative Constraint Acquisition, Journal of Artificial Intelligence Research, vol 79, 2024. DOI: https://doi.org/10.1613/jair.1.14752
- J. Sharma, S. Jetschny, M. Kapun, M.B. Belaid, Scalable Deep Learning for High-Fidelity Imputation of Large-Scale Genomic Fragments. In prep.
- Kapun, M; Steindl, S; Ricci, M; Löhnert, M, The biodiversity and ecology of urban Drosophila species. In prep.
- Kapun, M; Steindl, S, How to catch a fly in the city – fast? Citizen Science on Drosophila ecology helps to raise awareness for biodiversity in urban environments. In prep.
- Kapun, M; Steindl, S, Genome-wide signals of adaptation in Drosophila to natural and anthropogenic factors in rural and urban environments in Europe. In prep.
Contributions in proceedings
- P. Baumann, “On Openness in Service Stacks,” 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), Victoria, Seychelles, 2024, pp. 1-7, doi: 10.1109/ACDSA59508.2024.10467764.
- D. Mišev, M. Rodionychev and P. Baumann, “Performance of Null Handling in Array Databases,” 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 247-254, doi: 10.1109/BigData59044.2023.10386100.
- Babak Ebrahimi, Mohamed-Bachir Belaid, Daniel Dean Moran and Stefan Jetschny, Estimating Residential Building Energy Demand at City Scale: Heuristic vs. Machine Learning.
Posters
- P. Baumann, D. Misev, AI and Datacubes: Towards a Happy Marriage. In Soille, P., Lumnitz, S. and Albani, S., Proceedings of the 2023 conference on Big Data from Space (BiDS’23) – From foresight to impact – 6-9 November 2023, Austrian Center, Vienna, Soille, P.(editor), Lumnitz, S.(editor) and Albani, S.(editor), Publications Office of the European Union, 2023, https://data.europa.eu/doi/10.2760/46796
- Heimo Rainer, Susanna Ioni, Kryštof Chytrý, UC5: Validation of Phytosociological Methods through Occurrence Cubes