Publications

David Montero, César Aybar, Miguel D Mahecha, Francesco Martinuzzi, Maximilian Söchting, and Sebastian Wieneke. A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Scientific Data, (10)1:1-20, Nature Publishing Group, 2023. [PUMA: yaff]

Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls, David Montero, Tristan Williams, and Karin Mora. Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks. EGU24-9569Copernicus Meetings, 2024. [PUMA: yaff]

Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel Mahecha, Oana-Iuliana Popescu, Oscar J Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, and Tristan Williams. AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. 2024. [PUMA: yaff]

David Montero, Miguel D Mahecha, Francesco Martinuzzi, César Aybar, Anne Klosterhalfen, Alexander Knohl, Franziska Koebsch, Jesús Anaya, and Sebastian Wieneke. Recurrent Neural Networks for Modelling Gross Primary Production. 4214-4217, IEEE, 2024. [PUMA: yaff]

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi. Arctic climate response to European radiative forcing: a deep learning study on circulation pattern changes. Weather and Climate Dynamics, (5)4:1223-1268, Copernicus Publications, 2024. [PUMA: topic_earthenvironment yaff]

David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, and et al.. Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science, (3):e27, 2024. [PUMA: topic_earthenvironment xack yaff]

David Antony Selby, Rashika Jakhmola, Maximilian Sprang, Gerrit Grossmann, Hind Raki, Niloofar Maani, Daria Pavliuk, Jan Ewald, and Sebastian Vollmer. Visible neural networks for multi-omics integration: a critical review. bioRxiv, Cold Spring Harbor Laboratory, 2024. [PUMA: topic_lifescience yaff] URL

Maximilian Joas, Daniel Freund, Robert Haase, Erhard Rahm, and Jan Ewald. Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily. bioRxiv, Cold Spring Harbor Laboratory, 2025. [PUMA: topic_lifescience xack yaff] URL

Lincoln Sherpa, Sima Attar Khorasani, Rajasekar Sankar, Ralph Müller-Pfefferkorn, and Siavash Ghiasvand. KEENsight: Cloud based Collaborative Environment for Streamlining Machine Learning Development. The Fifteenth International Conference on Information, Intelligence, Systems and Applications, Crete, Greece, June 2024. [PUMA: yaff]

Tom Richard Vargis, and Siavash Ghiasvand. Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. Proceedings of the International Workshop on Data-driven Resilience Research, (3376)arXiv, Leipzig, Germany, December 2022. [PUMA: xack yaff] URL

Tom Richard Vargis, and Siavash Ghiasvand. Content-Aware Depth-Adaptive Image Restoration. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, January 2024. [PUMA: xack yaff] URL

Taís Maria Nunes Carvalho, Francisco de Assis de Souza Filho, and Mariana Madruga de Brito. Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings. Environmental Research Letters, (19)4:044066, IOP Publishing, 2024. [PUMA: yaff]

Taís Maria Nunes Carvalho, Jakob Zscheischler, Christian Kuhlicke, and Mariana Madruga de Brito. A global database of natural hazards impacts reported in the scientific literature. EGU General Assembly Conference Abstracts, 19940, 2024. [PUMA: yaff]

Jessenia Gonzalez, Sudhakar Dipu, Odran Sourdeval, Alexandre Siméon, Gustau Camps-Valls, and Johannes Quaas. Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (18):1896-1911, 2025. [PUMA: topic_earthenvironment yaff]

Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, and Sebastian Engelke. Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events. Artificial Intelligence for the Earth Systems, (4)1:e240033, American Meteorological Society, Boston MA, USA, 2025. [PUMA: topic_earthenvironment xack yaff] URL

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi. Arctic Climate Response to European Radiative Forcing: A Deep Learning Approach. EGUsphere, (2024):1-55, Copernicus Publications, 2024. [PUMA: Yaff topic_earthenvironment]

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, and Daniel Klocke. Leveraging surface observations and passive satellite retrievals of cloud properties: Applications to cloud type classification and cloud base height retrieval. EGU24-18214Copernicus Meetings, 2024. [PUMA: yaff]

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic, and Daniel Klocke. CloudViT: classifying cloud types in global satellite data and in kilometre-resolution simulations using vision transformers. EGUsphere, (2024):1-31, Copernicus Publications, 2024. [PUMA: yaff]

Maria C Novitasari, Johannes Quaas, and Miguel Rodrigues. ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data. 3358-3366, PMLR, 2024. [PUMA: Yaff]

Sina Mehrdad, Dörthe Handorf, Ines Höschel, Khalil Karami, Johannes Quaas, Sudhakar Dipu, and Christoph Jacobi. A Physics-informed Deep Learning Based Clustering to Investigate the Impact of Regional European Radiative Forcing on Arctic Climate and Upper Atmospheric Dynamics. EGU24-16391Copernicus Meetings, 2024. [PUMA: yaff]