Multiblock PLS: Block dependent prediction modeling for Python. - Andreas Baum; Laurent Vermue (J. Open Source Softw., 2019)

Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought. - Verónica Sobejano-Paz; Teis Nørgaard Mikkelsen; Andreas Baum; Xingguo Mo; Suxia Liu; Christian Josef Köppl; Mark S. Johnson; Lorant Gulyas; Mónica García (Remote. Sens., 2020)

Gap-Filling of NDVI Satellite Data Using Tucker Decomposition: Exploiting Spatio-Temporal Patterns. - Andri Freyr Þórðarson; Andreas Baum; Mónica García; Sergio M. Vicente-Serrano; Anders Stockmarr (Remote. Sens., 2021)

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. - Tobias Engelhardt Rasmussen; Line Katrine Harder Clemmensen; Andreas Baum (NLDL, 2022)

Cost-Effective Active Learning for Cable Network Impairment Data. - Meadhbh Healy; Rocco Cassandro; Zhaojun Steven Li; Andreas Baum; Thomas Martini Jørgensen (ICPHM, 2025)

Topology reconstruction in telecommunication networks: Embedding operations research within deep learning. - Tobias Engelhardt Rasmussen; Siv Sørensen; David Pisinger; Thomas Martini Jørgensen; Andreas Baum (Comput. Oper. Res., 2025)

Anomaly detection in broadband networks: Using normalizing flows for multivariate time series. - Tobias Engelhardt Rasmussen; Facundo Esteban Castellá Algán; Andreas Baum (Signal Process., 2025)