Ribana Roscher

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 69

Top Venues

CoRR

IGARSS

IEEE Geosci. Remote. Sens. Lett.

Frontiers Artif. Intell.

University of Bonn (PHD)

Education History

University of Bonn

PHD

Publications

Ahmed Emam, Timo T. Stomberg, Ribana Roscher
Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. CoRR (2024)
Samet Aksoy, Elif Sertel, Ribana Roscher, Aysegul Tanik, Nikou Hamzehpour
Assessment of soil salinity using explainable machine learning methods and Landsat 8 images. Int. J. Appl. Earth Obs. Geoinformation 130 (2024)
Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry. Frontiers Artif. Intell. 7 (2024)
Ahmed Emam, Mohamed M. Farag, Ribana Roscher
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Jana Kierdorf, Ribana Roscher
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower. CoRR (2023)
Ahmed Emam, Timo T. Stomberg, Ribana Roscher
Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery. CoRR (2023)
Ahmed Emam, Mohamed Farag, Ribana Roscher
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness. CoRR (2023)
Timo T. Stomberg, Johannes Leonhardt, Immanuel Weber, Ribana Roscher
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery. Frontiers Artif. Intell. 6 (2023)
Jana Kierdorf, Ribana Roscher
Reliability Scores From Saliency Map Clusters for Improved Image-Based Harvest-Readiness Prediction in Cauliflower. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR (2023)
Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM (2023)
Mohamed Farag, Jana Kierdorf, Ribana Roscher
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods. ICCV (Workshops) (2023)
Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher
GrowliFlower: An image time-series dataset for GROWth analysis of cauLIFLOWER. J. Field Robotics 40 (2) (2023)
Ribana Roscher, Lukas Roth, Cyrill Stachniss, Achim Walter
Data-Centric Digital Agriculture: A Perspective. CoRR (2023)
Jochen Garcke, Ribana Roscher
Explainable Machine Learning. Mach. Learn. Knowl. Extr. 5 (1) (2023)
Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) (2023)
Lukas Drees, Dereje T. Demie, Madhuri R. Paul, Johannes Leonhardt, Sabine J. Seidel, Thomas F. Döring, Ribana Roscher
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks. CoRR (2023)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56 (S1) (2023)
Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR (2022)
Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher
Occlusion Sensitivity Analysis of Neural Network Architectures for Eddy Detection. IGARSS (2022)
Lukas Drees, Immanuel Weber, Marc Rußwurm, Ribana Roscher
Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer. GCPR (2022)
Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting. CoRR (2022)
Johannes Leonhardt, Lukas Drees, Peter Jung, Ribana Roscher
Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks. GCPR (2022)
Miro Miranda, Lukas Drees, Ribana Roscher
Controlled Multi-modal Image Generation for Plant Growth Modeling. ICPR (2022)
Timo T. Stomberg, Taylor Stone, Johannes Leonhardt, Ribana Roscher
Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. CoRR (2022)
Scarlet Stadtler, Clara Betancourt, Ribana Roscher
Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset. Mach. Learn. Knowl. Extr. 4 (1) (2022)
Surbhi Sharma, Ribana Roscher, Morris Riedel, M. Shahbaz Memon, Gabriele Cavallaro
Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. IGARSS (2022)
Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER. CoRR (2022)
Burak Ekim, Timo T. Stomberg, Ribana Roscher, Michael Schmitt
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. CoRR (2022)
Ivica Obadic, Ribana Roscher, Dário Augusto Borges Oliveira, Xiao Xiang Zhu
Exploring Self-Attention for Crop-type Classification Explainability. CoRR (2022)
Immanuel Weber, Jens Bongartz, Ribana Roscher
Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection. IGARSS (2022)
Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks. Frontiers Artif. Intell. 5 (2022)
Immanuel Weber, Jens Bongartz, Ribana Roscher
ArtifiVe-Potsdam: A Benchmark for Learning with Artificial Objects for Improved Aerial Vehicle Detection. IGARSS (2021)
Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls
Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR (2021)
Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR (2021)
Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. IROS (2021)
Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks. Comput. Electron. Agric. 190 (2021)
Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks. CoRR (2021)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
A Survey of Uncertainty in Deep Neural Networks. CoRR (2021)
Immanuel Weber, Jens Bongartz, Ribana Roscher
Artificial and beneficial - Exploiting artificial images for aerial vehicle detection. CoRR (2021)
Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
Behind the leaves - Estimation of occluded grapevine berries with conditional generative adversarial networks. CoRR (2021)
Jonas Bömer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher
Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks. ECCV Workshops (6) (2020)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access 8 (2020)
Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher
A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML (2020)
Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks. CoRR (2020)
Laurenz Strothmann, Uwe Rascher, Ribana Roscher
Detection of Anomalous Grapevine Berries Using All-Convolutional Autoencoders. IGARSS (2019)
Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CoRR (2019)
Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CVPR Workshops (2019)
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
Explainable Machine Learning for Scientific Insights and Discoveries. CoRR (2019)
Alina Förster, Jens Behley, Jan Behmann, Ribana Roscher
Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. IGARSS (2019)
Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche
Ocean Eddy Identification and Tracking using Neural Networks. CoRR (2018)
Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche
Ocean Eddy Identification and Tracking Using Neural Networks. IGARSS (2018)
Jan Dirk Wegner, Ribana Roscher, Michele Volpi, Fabio Veronesi
Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis. ISPRS Int. J. Geo Inf. 7 (4) (2018)
Lukas Drees, Ribana Roscher, Susanne Wenzel
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification. CoRR (2018)
Johannes Oehrlein, Alina Förster, D. Schunck, Youness Dehbi, Ribana Roscher, Jan-Henrik Haunert
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories. CoRR (2018)
Ribana Roscher, Katja Herzog, Annemarie Kunkel, Anna Kicherer, Reinhard Töpfer, Wolfgang Förstner
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields. CoRR (2017)
Johannes Rosentreter, Ron Hagensieker, Akpona Okujeni, Ribana Roscher, Paul D. Wagner, Björn Waske
Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (5) (2017)
Ribana Roscher, Bernd Uebbing, Jürgen Kusche
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields. CoRR (2017)
Ron Hagensieker, Ribana Roscher, Johannes Rosentreter, Benjamin Jakimow, Björn Waske
Tropical Land Use Land Cover Mapping in Pará (Brazil) using Discriminative Markov Random Fields and Multi-temporal TerraSAR-X Data. CoRR (2017)
Ribana Roscher, Björn Waske
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images. CoRR (2017)
Anika Bettge, Ribana Roscher, Susanne Wenzel
Deep Self-taught Learning for Remote Sensing Image Classification. CoRR (2017)
Ribana Roscher, Björn Waske, Wolfgang Förstner
Incremental Import Vector Machines for Classifying Hyperspectral Data. CoRR (2017)
Ribana Roscher, Lukas Drees, Susanne Wenzel
Sparse representation-based archetypal graphs for spectral clustering. IGARSS (2017)
Ron Hagensieker, Ribana Roscher, Johannes Rosentreter, Benjamin Jakimow, Björn Waske
Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data. Int. J. Appl. Earth Obs. Geoinformation 63 (2017)
Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel, Bernd Uebbing, Jürgen Kusche
Sea Level Anomaly Prediction using Recurrent Neural Networks. CoRR (2017)
Ribana Roscher, Björn Waske
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54 (3) (2016)
Ribana Roscher, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models. WHISPERS (2016)
Ribana Roscher, Bernd Uebbing, Jürgen Kusche
Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields. IGARSS (2015)
Beate Franke, Jean-François Plante, Ribana Roscher, Annie Lee, Cathal Smyth, Armin Hatefi, Fuqi Chen, Einat Gil, Alexander G. Schwing, Alessandro Selvitella, Michael M. Hoffman, Roger B. Grosse, Dieter Hendricks, Nancy Reid
Statistical Inference, Learning and Models in Big Data. CoRR (2015)
Ribana Roscher, Christoph Römer, Björn Waske, Lutz Plümer
Landcover classification with self-taught learning on archetypal dictionaries. IGARSS (2015)
Benjamin Mack, Ribana Roscher, Björn Waske
Can I Trust My One-Class Classification? Remote. Sens. 6 (9) (2014)
Ribana Roscher, Björn Waske
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields. IGARSS (2014)
Ribana Roscher, Björn Waske, Wolfgang Förstner
Incremental Import Vector Machines for Classifying Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 50 (9) (2012)
Ribana Roscher, Wolfgang Förstner, Björn Waske
VM: Incremental import vector machines. Image Vis. Comput. 30 (4-5) (2012)
Björn Waske, Ribana Roscher, Sascha Klemenjak
Import vector machines based classification of multisensor remote sensing data. IGARSS (2011)
Ribana Roscher, Björn Waske, Wolfgang Förstner
Incremental import vector machines for large area land cover classification. ICCV Workshops (2011)
Ribana Roscher, Falko Schindler, Wolfgang Förstner
High Dimensional Correspondences from Low Dimensional Manifolds - An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms. ACCV Workshops (2) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ribana Roscher