Publications

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]

Thaís Antero de Oliveira, Francisco de Assis de Souza Filho, Gabriela de Azevedo Reis, and Taís Maria Nunes Carvalho. Identification of correlation between residential water demand and average income using the pool regression model: Study case in Fortaleza-Brazil. Water Utility Journal, 2020. [PUMA: zno]

Taís Maria Nunes Carvalho, and Francisco de Assis de Souza Filho. Variational Mode Decomposition Hybridized With Gradient Boost Regression for Seasonal Forecast of Residential Water Demand. Water Resources Management, (35)10:3431-3445, Springer Netherlands, 2021. [PUMA: zno]

Francisco Assis Souza Filho, Ticiana Marinho Carvalho Studart, Joao Dehon Pontes Filho, Eduardo Sávio Passos Rodrigues Martins, Sergio Rodrigues Ayrimoraes, Carlos Alberto Perdigão Pessoa, Larissa Zaira Rafael Rolim, Luiz Martins Araujo Junior, Samiria Maria Oliveira Silva, Taís Maria Nunes Carvalho, and Sandra Helena Silva Aquino. Integrated proactive drought management in hydrosystems and cities: building a nine-step participatory planning methodology. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, (115)3:2179-2204, Springer & International Society for the Prevention and Mitigation of Natural Hazards, 2023. [PUMA: zno]

Louise Cavalcante, David W Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter van Oel. From insufficient rainfall to livelihoods: understanding the cascade of drought impacts and policy implications. EGUsphere, (2024):1-20, Copernicus Publications, 2024. [PUMA: zno]

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]

Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, and Miguel D. Mahecha. Macrophenological dynamics from citizen science plant occurrence data. Methods in Ecology and Evolution, (15)8:1422–1437, Wiley, July 2024. [PUMA: Yaff] URL

Salim Soltani, Olga Ferlian, Nico Eisenhauer, Hannes Feilhauer, and Teja Kattenborn. From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery. Biogeosciences, (21)11:2909–2935, Copernicus GmbH, June 2024. [PUMA: xack] URL

David Montero, César Aybar, Chaonan Ji, Guido Kraemer, Maximilian Söchting, Khalil Teber, and Miguel D. Mahecha. On-Demand Earth System Data Cubes. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7529–7532, IEEE, July 2024. [PUMA: zno] URL

Sophie Wolf, Miguel D. Mahecha, Francesco Maria Sabatini, Christian Wirth, Helge Bruelheide, Jens Kattge, Álvaro Moreno Martínez, Karin Mora, and Teja Kattenborn. Citizen science plant observations encode global trait patterns. Nature Ecology & Evolution, (6)12:1850–1859, Springer Science and Business Media LLC, October 2022. [PUMA: zno] URL

M. D. Mahecha, A. Bastos, F. J. Bohn, N. Eisenhauer, H. Feilhauer, T. Hickler, H. Kalesse‐Los, M. Migliavacca, F. E. L. Otto, J. Peng, S. Sippel, I. Tegen, A. Weigelt, M. Wendisch, C. Wirth, D. Al‐Halbouni, H. Deneke, D. Doktor, S. Dunker, G. Duveiller, A. Ehrlich, A. Foth, A. García‐García, C. A. Guerra, C. Guimarães‐Steinicke, H. Hartmann, S. Henning, H. Herrmann, P. Hu, C. Ji, T. Kattenborn, N. Kolleck, M. Kretschmer, I. Kühn, M. L. Luttkus, M. Maahn, M. Mönks, K. Mora, M. Pöhlker, M. Reichstein, N. Rüger, B. Sánchez‐Parra, M. Schäfer, F. Stratmann, M. Tesche, B. Wehner, S. Wieneke, A. J. Winkler, S. Wolf, S. Zaehle, J. Zscheischler, and J. Quaas. Biodiversity and Climate Extremes: Known Interactions and Research Gaps. Earth’s Future, (12)6American Geophysical Union (AGU), June 2024. [PUMA: zno] URL

Maximilian Söchting, Miguel D. Mahecha, David Montero, and Gerik Scheuermann. Lexcube: Interactive Visualization of Large Earth System Data Cubes. IEEE Computer Graphics and Applications, (44)1:25–37, Institute of Electrical and Electronics Engineers (IEEE), January 2024. [PUMA: zno] URL

Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito. Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany. Natural Hazards and Earth System Sciences, (24)5:1757–1777, Copernicus GmbH, May 2024. [PUMA: Zno] URL

Marco Hannemann, Almudena Garc\'ıa-Garc\'ıa, Rafael Poyatos, Miguel D Mahecha, and Jian Peng. Estimating transpiration globally by integrating the Priestley-Taylor model with neural networks. Environ. Res. Lett., (19)11:114089, IOP Publishing, November 2024. [PUMA: zno]

Oscar J. Pellicer-Valero, Miguel-Ángel Fernández-Torres, Chaonan Ji, Miguel D. Mahecha, and Gustau Camps-Valls. Explainable Earth Surface Forecasting under Extreme Events. arXiv, 2024. [PUMA: zno] URL

Teja Kattenborn, Sebastian Wieneke, David Montero, Miguel D. Mahecha, Ronny Richter, Claudia Guimarães-Steinicke, Christian Wirth, Olga Ferlian, Hannes Feilhauer, Lena Sachsenmaier, Nico Eisenhauer, and Benjamin Dechant. Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. Communications Earth & Environment, (5)1Springer Science and Business Media LLC, October 2024. [PUMA: zno] URL

Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, and Jakob Zscheischler. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth’s Future, (12)7American Geophysical Union (AGU), July 2024. [PUMA: yaff] URL

Brian Groenke, Kristoffer Aalstad, Norbert Pirk, Sebastian Westermann, Jakob Zscheischler, Guillermo Gallego, and Julia Boike. Simulation-based inference as a paradigm for scientific machine learning in the cryosphere and beyond. Copernicus GmbH, March 2024. [PUMA: zno] URL

Ni Li, Wim Thiery, Jakob Zscheischler, Gabriele Messori, Liane Guillou, Joakim Nivre, Olof Görnerup, Seppe Lampe, Clare Flynn, Mariana Madruga de Brito, and Aglae Jezequel. A new climate impact database using generative AI. Copernicus GmbH, November 2024. [PUMA: zno] URL

Daniel Klotz, Martin Gauch, Frederik Kratzert, Grey Nearing, and Jakob Zscheischler. Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions. Hydrology and Earth System Sciences, (28)15:3665–3673, Copernicus GmbH, August 2024. [PUMA: zno] URL

Mohit Anand, Friedrich J. Bohn, Gustau Camps-Valls, Rico Fischer, Andreas Huth, Lily-belle Sweet, and Jakob Zscheischler. Identifying compound weather drivers of forest biomass loss with generative deep learning. Environmental Data Science, (3)Cambridge University Press (CUP), 2024. [PUMA: zno] URL

Ni Li, Shorouq Zahra, Mariana Brito, Clare Flynn, Olof Görnerup, Koffi Worou, Murathan Kurfali, Chanjuan Meng, Wim Thiery, Jakob Zscheischler, Gabriele Messori, and Joakim Nivre. Using LLMs to Build a Database of Climate Extreme Impacts. Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024), 93–110, Association for Computational Linguistics, 2024. [PUMA: imported zno] URL

Siavash Ghiasvand, and Florina M. Ciorba. Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. Proceedings of the 17th International Symposium on Parallel and Distributed Computing (ISPDC), 164--171, Geneva, Switzerland, June 2018. [PUMA: zno]

Maximilian Joas, Neringa Jurenaite, Dusan Prascevic, Nico Scherf, and Jan Ewald. A generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond: AUTOENCODIX. bioRxiv, Cold Spring Harbor Laboratory, December 2024. [PUMA: xack] URL

Cristian A. Velandia-Huerto, Ali M. Yazbeck, Jana Schor, and Peter F. Stadler. Evolution and Phylogeny of MicroRNAs — Protocols, Pitfalls, and Problems. miRNomics, 211–233, Springer US, February 2012. [PUMA: Evolution MicroRNAs Phylogeny Zno] URL

Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, and Miguel D. Mahecha. DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data, (12)1:149, Jan 25, 2025. [PUMA: Yaff topic_earthenvironment] URL

Evangelia Skoufa, Jixing Zhong, Oliver Kahre, Kelly Hu, Georgios Tsissios, Louise Carrau, Antonio Herrera, Albert Dominguez Mantes, Alejandro Castilla-Ibeas, Hwanseok Jang, Martin Weigert, Gioele La Manno, Matthias Lutolf, Marian Ros, and Can Aztekin. Specialized signaling centers direct cell fate and spatial organization in a limb organoid model. bioRxiv, Cold Spring Harbor Laboratory, 2024. [PUMA: ML_Spatial_Understanding Zno] URL

Mauro Gwerder, Cansaran Saygili Demir, Hannah L Williams, Alessandro Lugli, Cristina Graham Martinez, Joanna Kowal, Amjad Khan, Philipp Kirchner, Thibaud Koessler, Martin D Berger, and others. Morpho-molecular features of Epithelial Mesenchymal Transition associate with clinical outcome in patients with rectal cancer. bioRxiv, 2024--11, Cold Spring Harbor Laboratory, 2024. [PUMA: ML_Spatial_Understanding Yaff]

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, and others. CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. arXiv preprint arXiv:2303.06274, (92):103047, 2023. [PUMA: Computational_pathology Deep_learning ML_Spatial_Understanding Nuclear_recognition Zno] URL

Andreas Müller, Deborah Schmidt, Jan Philipp Albrecht, Lucas Rieckert, Maximilian Otto, Leticia Elizabeth Galicia Garcia, Gunar Fabig, Michele Solimena, and Martin Weigert. Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets. Nature Protocols, 1--31, Nature Publishing Group UK London, 2024. [PUMA: ML_Spatial_Understanding Zno]

Benjamin Gallusser, and Martin Weigert. Trackastra: Transformer-based cell tracking for live-cell microscopy. European Conference on Computer Vision, 467--484, 2025. [PUMA: ML_Spatial_Understanding imported]

Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Joerg K. H. Franke, and Frank Hutter. HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models. The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS'24), 2024. [PUMA: AutoML Xack Yaff large_language_models neural_architecture_search]

Antonia Stubenvoll, Maria Schmidt, Johanna Moeller, Max Alexander Lingner Chango, Carolyn Schultz, Olga Antoniadou, Henry Loeffler-Wirth, Stephan Bernhart, Florian Peter Große, Beatrice Thier, Annette Paschen, Ulf Anderegg, Jan C. Simon, Mirjana Ziemer, Clara T. Schoeder, Hans Binder, and Manfred Kunz. Single-cell transcriptomics and epigenomics point to CD58-CD2 interaction in controlling primary melanoma growth and immunity. Cancer Communications, (n/a)n/aJohn Wiley & Sons, Ltd, January 2025. [PUMA: Yaff melanoma myown single-cell topic_lifescience transcriptomics] URL

Byung Ho Lee, Kana Fuji, Heike Petzold, Phil Seymour, Siham Yennek, Coline Schewin, Allison Lewis, Daniel Riveline, Tetsuya Hiraiwa, Masaki Sano, and Anne Grapin-Botton. Control of lumen geometry and topology by the interplay between pressure and cell proliferation rate in pancreatic organoids. bioRxiv, Cold Spring Harbor Laboratory, 2024. [PUMA: Yaff imported] URL

Yuvaraj Natarajan, Gitanjali Wadhwa, Sri Preethaa K R, Karthic Sundaram, and Rama Abirami K. Advancing Sustainable IoT Appliance Load Monitoring Through Edge-Enabled Federated Transfer Learning. 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), 386-391, January 2024. [PUMA: Yaff imported]

Reza Nicknam, Seyyed Rouhollah Hadj Zargarbashi, and Abtin Safavipour. AI Development in Germany After the Publication of German Nation AI Strategy, Problems and Solutions. Journal of Humanities and Education Development, (6)5:68–81, AI Publications, 2024. [PUMA: Zno imported] URL

Prakash Gondode, Sakshi Duggal, and Vaishali Mahor. Artificial intelligence hallucinations in anaesthesia: Causes, consequences and countermeasures. Indian Journal of Anaesthesia, (68)7:658–661, Medknow, June 2024. [PUMA: Zno imported] URL

Patricia Evelyn Schlosser. Klangwelten neu gedacht : Zur Nutzung und Rolle von Künstlicher Intelligenz in der Musikproduktion. Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. [PUMA: Zno imported] URL

Gishnu Harikumar Parvathy, Dhananjay Bhandiwad, Lars Eggers, Linda von Borstel, Jochen Behrends, Martina Hein, David Hertz, Jaqueline Marschner, Zane Orinska, Stefan H E Kaufmann, Mario Alberto Flores-Valdez, Hanna Lotter, and Bianca E Schneider. Sex differences in vaccine induced immunity and protection againstMycobacterium tuberculosis. Cold Spring Harbor Laboratory, April 2024. [PUMA: Yaff imported] URL

Atharva Naik. On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation. 2024. [PUMA: Zno imported] URL

Meysam Alishahi, and Jeff M. Phillips. No Dimensional Sampling Coresets for Classification. 2024. [PUMA: Yaff imported] URL

Aldo Acevedo, Yue Wu, Fabio Lorenzo Traversa, and Carlo Vittorio Cannistraci. Geometric separability of mesoscale patterns in embedding representation and visualization of multidimensional data and complex networks. PLOS Complex Systems, (1)2:1-28, Public Library of Science, October 2024. [PUMA: Yaff imported] URL

Jakob Rehof. LIPIcs, Volume 299, FSCD 2024, Complete Volume. Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024. [PUMA: Xack Yaff imported] URL

C. Molinari, J. Bulgarelli, F. Rebuzzi, R. Camara, V. Kokala Dimitropoulou, E. Petracci, J. Ewald, D. Prascevic, P. Ulivi, M. Canale, M. Monti, S. Tamberi, and A. Derventzi. 16P The role of systemic immunity in locally advanced gastric cancer patients treated with neoadjuvant chemotherapy. ESMO Open, (9):103762, 2024. [PUMA: Yaff imported] URL

Patrick Ebel, Rochelle Schneider, Massimo Bonavita, Mariana Clare, Anna Jungbluth, Maryam Pourshamsi, Matthew Chantry, Mihai Alexe, Alessandro Sebastianelli, and Marcin Chrust. 2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction. npj Climate and Atmospheric Science, (7)1:241, Oct 9, 2024. [PUMA: Zno imported] URL

Maria Wyrzykowska, Gabriel della Maggiora, Nikita Deshpande, Ashkan Mokarian, and Artur Yakimovich. A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy. Cold Spring Harbor Laboratory, September 2024. [PUMA: Xack imported] URL

Vaibhav Sharma, and Artur Yakimovich. A deep learning dataset for sample preparation artefacts detection in multispectral high-content microscopy. Scientific Data, (11)1:232, Feb 23, 2024. [PUMA: Xack imported] URL