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2020 – today
- 2025
[j23]Hiba Najjar
, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel:
Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 4141-4161 (2025)- 2024
- [j22]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: 103879 (2024) - [j21]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) - [j20]Jana Kierdorf, Timo T. Stomberg, Lukas Drees, Uwe Rascher, Ribana Roscher:
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction. Frontiers Artif. Intell. 7 (2024) - [j19]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: 1-5 (2024) - [j18]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: 1-5 (2024) - [i33]Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel:
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. CoRR abs/2407.08274 (2024) - 2023
- [j17]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): 1513-1589 (2023) - [j16]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) - [j15]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): 173-192 (2023) - [j14]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: 1-5 (2023) - [j13]Jochen Garcke, Ribana Roscher:
Explainable Machine Learning. Mach. Learn. Knowl. Extr. 5(1): 169-170 (2023) - [j12]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: 1-18 (2023) - [c25]Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher:
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM 2023: 227-242 - [c24]Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler:
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) 2023: 572-581 - [c23]Mohamed M. 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: 651-659 - [i32]Jana Kierdorf, Ribana Roscher:
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower. CoRR abs/2305.15149 (2023) - [i31]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 abs/2311.08923 (2023) - [i30]Ahmed Emam, Mohamed M. Farag, Ribana Roscher:
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness. CoRR abs/2311.08936 (2023) - [i29]Ribana Roscher, Lukas Roth, Cyrill Stachniss, Achim Walter:
Data-Centric Digital Agriculture: A Perspective. CoRR abs/2312.03437 (2023) - [i28]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 abs/2312.03443 (2023) - [i27]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 abs/2312.05327 (2023) - 2022
- [j11]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: 830026 (2022) - [j10]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): 150-171 (2022) - [c22]Johannes Leonhardt, Lukas Drees, Peter Jung, Ribana Roscher:
Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks. GCPR 2022: 479-494 - [c21]Lukas Drees, Immanuel Weber, Marc Rußwurm, Ribana Roscher:
Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer. GCPR 2022: 495-510 - [c20]Miro Miranda, Lukas Drees, Ribana Roscher:
Controlled Multi-modal Image Generation for Plant Growth Modeling. ICPR 2022: 5118-5124 - [c19]Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher:
Occlusion Sensitivity Analysis of Neural Network Architectures for Eddy Detection. IGARSS 2022: 623-626 - [c18]Surbhi Sharma, Ribana Roscher, Morris Riedel, M. Shahbaz Memon, Gabriele Cavallaro:
Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. IGARSS 2022: 5061-5064 - [c17]Immanuel Weber, Jens Bongartz, Ribana Roscher:
Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection. IGARSS 2022: 5089-5092 - [i26]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 abs/2201.02885 (2022) - [i25]Timo T. Stomberg, Taylor Stone, Johannes Leonhardt, Ribana Roscher:
Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. CoRR abs/2203.00379 (2022) - [i24]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 abs/2204.00294 (2022) - [i23]Ivica Obadic, Ribana Roscher, Dário Augusto Borges Oliveira, Xiao Xiang Zhu:
Exploring Self-Attention for Crop-type Classification Explainability. CoRR abs/2210.13167 (2022) - [i22]Burak Ekim, Timo T. Stomberg, Ribana Roscher, Michael Schmitt:
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. CoRR abs/2212.02265 (2022) - [i21]Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall:
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting. CoRR abs/2212.08208 (2022) - 2021
- [j9]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: 106415 (2021) - [c16]Immanuel Weber, Jens Bongartz, Ribana Roscher:
ArtifiVe-Potsdam: A Benchmark for Learning with Artificial Objects for Improved Aerial Vehicle Detection. IGARSS 2021: 1214-1217 - [c15]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: 4888-4895 - [i20]Immanuel Weber, Jens Bongartz, Ribana Roscher:
Artificial and beneficial - Exploiting artificial images for aerial vehicle detection. CoRR abs/2104.03054 (2021) - [i19]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 abs/2104.05107 (2021) - [i18]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 abs/2105.07789 (2021) - [i17]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 abs/2105.10325 (2021) - [i16]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 abs/2107.03342 (2021) - [i15]Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher:
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR abs/2109.07365 (2021) - 2020
- [j8]Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke:
Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access 8: 42200-42216 (2020) - [c14]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: 347-359 - [c13]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: 297-313 - [i14]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 abs/2004.14010 (2020)
2010 – 2019
- 2019
- [c12]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: 2571-2579 - [c11]Alina Förster, Jens Behley, Jan Behmann, Ribana Roscher:
Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. IGARSS 2019: 1793-1796 - [c10]Laurenz Strothmann, Uwe Rascher, Ribana Roscher:
Detection of Anomalous Grapevine Berries Using All-Convolutional Autoencoders. IGARSS 2019: 3701-3704 - [i13]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 abs/1905.00458 (2019) - [i12]Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke:
Explainable Machine Learning for Scientific Insights and Discoveries. CoRR abs/1905.08883 (2019) - 2018
- [j7]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): 147 (2018) - [c9]Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche:
Ocean Eddy Identification and Tracking Using Neural Networks. IGARSS 2018: 6887-6890 - [i11]Lukas Drees, Ribana Roscher, Susanne Wenzel:
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification. CoRR abs/1802.02813 (2018) - [i10]Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche:
Ocean Eddy Identification and Tracking using Neural Networks. CoRR abs/1803.07436 (2018) - [i9]Johannes Oehrlein, Alina Förster, D. Schunck, Youness Dehbi, Ribana Roscher, Jan-Henrik Haunert:
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories. CoRR abs/1806.09158 (2018) - 2017
- [j6]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: 244-256 (2017) - [j5]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): 1938-1948 (2017) - [c8]Ribana Roscher, Lukas Drees, Susanne Wenzel:
Sparse representation-based archetypal graphs for spectral clustering. IGARSS 2017: 2203-2206 - [i8]Ribana Roscher, Björn Waske, Wolfgang Förstner:
Incremental Import Vector Machines for Classifying Hyperspectral Data. CoRR abs/1708.05966 (2017) - [i7]Ribana Roscher, Björn Waske:
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images. CoRR abs/1708.05974 (2017) - [i6]Ribana Roscher, Bernd Uebbing, Jürgen Kusche:
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields. CoRR abs/1709.07681 (2017) - [i5]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 abs/1709.07794 (2017) - [i4]Anika Bettge, Ribana Roscher, Susanne Wenzel:
Deep Self-taught Learning for Remote Sensing Image Classification. CoRR abs/1710.07096 (2017) - [i3]Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel, Bernd Uebbing, Jürgen Kusche:
Sea Level Anomaly Prediction using Recurrent Neural Networks. CoRR abs/1710.07099 (2017) - [i2]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 abs/1712.05647 (2017) - 2016
- [j4]Ribana Roscher, Björn Waske:
Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(3): 1623-1634 (2016) - [c7]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: 1-5 - 2015
- [c6]Ribana Roscher, Bernd Uebbing, Jürgen Kusche:
Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields. IGARSS 2015: 1234-1237 - [c5]Ribana Roscher, Christoph Römer, Björn Waske, Lutz Plümer:
Landcover classification with self-taught learning on archetypal dictionaries. IGARSS 2015: 2358-2361 - [i1]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 abs/1509.02900 (2015) - 2014
- [j3]Benjamin Mack, Ribana Roscher, Björn Waske:
Can I Trust My One-Class Classification? Remote. Sens. 6(9): 8779-8802 (2014) - [c4]Ribana Roscher, Björn Waske:
Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields. IGARSS 2014: 3674-3677 - 2012
- [b1]Ribana Roscher:
Sequential learning using incremental import vector machines for semantic segmentation. University of Bonn, 2012, pp. 1-125 - [j2]Ribana Roscher, Wolfgang Förstner, Björn Waske:
I2VM: Incremental import vector machines. Image Vis. Comput. 30(4-5): 263-278 (2012) - [j1]Ribana Roscher, Björn Waske, Wolfgang Förstner:
Incremental Import Vector Machines for Classifying Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 50(9): 3463-3473 (2012) - 2011
- [c3]Ribana Roscher, Björn Waske, Wolfgang Förstner:
Incremental import vector machines for large area land cover classification. ICCV Workshops 2011: 243-248 - [c2]Björn Waske, Ribana Roscher, Sascha Klemenjak:
Import vector machines based classification of multisensor remote sensing data. IGARSS 2011: 2931-2934 - 2010
- [c1]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: 334-343
Coauthor Index
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