DeepFeatures: Remote sensing beyond spectral indices. EGU General Assembly Conference Abstracts, 18852, 2024. [PUMA: zno]
Delineating Standing Deadwood in High-Resolution RGB Drone Imagery. EGU24-190252024. [PUMA: zno]
High-resolution mapping of tree mortality in European forests. EGU24-20213Copernicus Meetings, 2024. [PUMA: zno]
deadtrees.earth - an open, dynamic database for accessing, contributing, analyzing, and visualizing remote sensing-based tree mortality data. EGU24-155022024. [PUMA: zno]
Revisiting Recommended BGP Route Flap Damping Configurations. (5):22, 2021. [PUMA: zno]
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land Use/Land Cover Mapping. EGU General Assembly Conference Abstracts, EGU22-4300, 2022. [PUMA: zno]
From spectra to functional plant traits: Transferable multi-trait models from heterogeneous and sparse data. EGU General Assembly Conference Abstracts, EGU-10901, 2023. [PUMA: xack]
Taking the pulse of the Amazon rainforest by fusing multitemporal Sentinel 1 and 2 data for advanced deep-learning. EGU General Assembly Conference Abstracts, EGU21-3749, 2021. [PUMA: nopdf]
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. arXiv preprint arXiv:2406.18179, 2024. [PUMA: yaff]
Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis. EGU24-20805Copernicus Meetings, 2024. [PUMA: yaff]
Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis. EGU24-6773Copernicus Meetings, 2024. [PUMA: yaff]
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]
Data cubes for earth system research: Challenges ahead. EarthArXiv (California Digital Library), 2023. [PUMA: xack]
Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks. EGU24-9569Copernicus Meetings, 2024. [PUMA: yaff]
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. 2024. [PUMA: yaff]
Composable and reusable neural surrogates to predict system response of causal model components. 2021. [PUMA: zno]
Recurrent Neural Networks for Modelling Gross Primary Production. 4214-4217, IEEE, 2024. [PUMA: yaff]
Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear Processes in Geophysics, (31)4:535-557, Copernicus Publications, 2024. [PUMA: xack]
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]
Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science, (3):e27, 2024. [PUMA: topic_earthenvironment xack yaff]
Visible neural networks for multi-omics integration: a critical review. bioRxiv, Cold Spring Harbor Laboratory, 2024. [PUMA: topic_lifescience yaff] URL
Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily. bioRxiv, Cold Spring Harbor Laboratory, 2025. [PUMA: topic_lifescience xack yaff] URL
Reducing Load Imbalance of Virtual Clusters via Reconfiguration and Adaptive Job Scheduling. Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 992--999, IEEE, Madrid, Spain, May 2017. [PUMA: zno] URL
Towards Adaptive Resilience in High Performance Computing. In E. Grosspietsch, and K. Kloeckner (Eds.), Proceedings of WiP in 25th EUROMICRO International Conference on Parallel, Distributed and Network-based Processing, (1):5--6, SEA-Publications-Austria, St. Petersburg, Russia, March 2017. [PUMA: zno]
Anonymization of System Logs for Preserving Privacy and Reducing Storage. Proceedings of the 2018 Future of Information and Communications Conference (FICC), (1):440--447, Springer, Singapore, April 2018. [PUMA: zno]
Event Pattern Identification in Anonymized System Logs. International Supercomputing Conference (ISC), Frankfurt, Germany, June 2017. [PUMA: nopdf]
Lessons Learned from Spatial and Temporal Correlation of Node Failures in High Performance Computers. Proceedings of the 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 377--381, IEEE, Heraklion, Crete, Greece, February 2016. [PUMA: zno] URL
Turning Privacy Constraints into Syslog Analysis Advantage. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Salt Lake City, Utah, USA, November 2016. [PUMA: zno] URL
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]
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
Content-Aware Depth-Adaptive Image Restoration. Proceedings of the 29th International Conference on Automation and Computing, Sunderland, UK, January 2024. [PUMA: xack yaff] URL
A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, January 2022. [PUMA: Zno] URL
Composing modeling and simulation with machine learning in Julia. 1-17, IEEE, 2022. [PUMA: zno]
Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events. arXiv preprint arXiv:2404.17652, 2024. [PUMA: xack]
The potential of machine learning for modeling spatio-temporal properties of water isotopologue distributions in precipitation. EGU General Assembly Conference Abstracts, EGU21-2979, 2021. [PUMA: zno]
Towards learned emulation of interannual water isotopologue variations in General Circulation Models. Environmental Data Science, (2):e35, Cambridge University Press, 2023. [PUMA: xack]
Intermediate filaments ensure resiliency of single carcinoma cells, while active contractility of the actin cortex determines their invasive potential. New Journal of Physics, (23)8:083028, IOP Publishing, 2021. [PUMA: zno]
Anatomy of the fetal membranes: Insights from spinning disk confocal microscopy. Archives of Gynecology and Obstetrics, (309)5:1919-1923, Springer Berlin Heidelberg, 2024. [PUMA: zno]
Rapid prototyping of 3D biochips for cell motility studies using two-photon polymerization. Frontiers in bioengineering and biotechnology, (9):664094, Frontiers Media SA, 2021. [PUMA: zno]
Urban Water Demand Modeling Using Machine Learning Techniques: Case Study of Fortaleza, Brazil. Journal of Water Resources Planning and Management, (147)1:05020026, American Society of Civil Engineers, 2021. [PUMA: zno]
Unveiling water allocation dynamics: a text analysis of 25 years of stakeholder meetings. Environmental Research Letters, (19)4:044066, IOP Publishing, 2024. [PUMA: yaff]
Application of stochastic dual dynamic programming in operation optimization of the Jaguaribe-Metropolitano reservoirs system. 2019. [PUMA: zno]
Water demand modeling using machine learning techniques. 2019. [PUMA: zno]
Avaliação do uso de cisternas como medida compensatória para atenuação de picos de cheia na Bacia do Pajeú utilizando o SWMM. 2017. [PUMA: zno]
Integrated model of capacity expansion and operation of water supply systems including non-conventional water sources. 2019. [PUMA: zno]
Uncovering the influence of hydrological and climate variables in chlorophyll-A concentration in tropical reservoirs with machine learning. Environmental Science and Pollution Research, (29)49:74967-74982, Springer Berlin Heidelberg, 2022. [PUMA: zno]
Vulnerability index to COVID-19: Fortaleza, Brazil study case. Engenharia Sanitaria e Ambiental, (26):731-739, Associação Brasileira de Engenharia Sanitária e Ambiental-ABES, 2021. [PUMA: zno]
Modelagem dinâmica espacial aplicada à previsão da demanda hídrica. ABRHidro-Associação Brasileira de Recursos Hidrícos, http://www. abrhidro. org. br/xxivsbrh, 2021. [PUMA: zno]
A global database of natural hazards impacts reported in the scientific literature. EGU General Assembly Conference Abstracts, 19940, 2024. [PUMA: yaff]
Hydrological risk of dam failure under climate change. RBRH, (27):e19, Associação Brasileira de Recursos Hídricos, 2022. [PUMA: zno]