Ribana Roscher

90 papers A 1B 1C 12Journal 62Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An assessment of data-centric methods for label noise identification in remote sensing data sets. CoRR Felix Kröber, Genc Hoxha, Ribana Roscher
2026	J	`jnl`	Core-Set Selection for Data-Efficient Land Cover Segmentation. IEEE Access Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025	J	`jnl`	Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery. CoRR Ahmed Emam, Ribana Roscher
2025	J	`jnl`	Core-Set Selection for Data-efficient Land Cover Segmentation. CoRR Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025	J	`jnl`	Enhancing decision support in crop production: Analyzing conformal prediction for uncertainty quantification. Comput. Electron. Agric. Mohamed M. Farag, Ahmed Emam, Johannes Leonhardt, Ribana Roscher
2025	J	`jnl`	Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
2025	J	`jnl`	LC-SLab - An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels. CoRR Johannes Leonhardt, Juergen Gall, Ribana Roscher
2025	—	`conf`	NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability. DAGM GCPR Ahmed Emam, Mohamed M. Farag, Marc Rußwurm, Ribana Roscher
2024	—	`conf`	A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning. ECCV Workshops (3) Ahmed Emam, Mohamed M. Farag, Jana Kierdorf, Lasse Klingbeil, Uwe Rascher, Ribana Roscher
2024	J	`jnl`	Assessment of soil salinity using explainable machine learning methods and Landsat 8 images. Int. J. Appl. Earth Obs. Geoinformation Samet Aksoy, Elif Sertel, Ribana Roscher, Aysegul Tanik, Nikou Hamzehpour
2024	J	`jnl`	Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness. IEEE Geosci. Remote. Sens. Lett. Ahmed Emam, Mohamed M. Farag, Ribana Roscher
2024	J	`jnl`	Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry. Frontiers Artif. Intell. Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher
2024	J	`jnl`	Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. CoRR Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel
2024	J	`jnl`	Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction. Frontiers Artif. Intell. Jana Kierdorf, Timo T. Stomberg, Lukas Drees, Uwe Rascher, Ribana Roscher
2024	J	`jnl`	Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery. IEEE Geosci. Remote. Sens. Lett. Ahmed Emam, Timo T. Stomberg, Ribana Roscher
2023	J	`jnl`	A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 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
2023	—	`conf`	Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler
2023	J	`jnl`	Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness. CoRR Ahmed Emam, Mohamed M. Farag, Ribana Roscher
2023	J	`jnl`	Data-Centric Digital Agriculture: A Perspective. CoRR Ribana Roscher, Lukas Roth, Cyrill Stachniss, Achim Walter
2023	J	`jnl`	Data-Centric Machine Learning for Geospatial Remote Sensing Data. CoRR Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
2023	J	`jnl`	Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks. CoRR Lukas Drees, Dereje T. Demie, Madhuri R. Paul, Johannes Leonhardt, Sabine J. Seidel, Thomas F. Döring, Ribana Roscher
2023	J	`jnl`	Explainable Machine Learning. Mach. Learn. Knowl. Extr. Jochen Garcke, Ribana Roscher
2023	J	`jnl`	GrowliFlower: An image time-series dataset for GROWth analysis of cauLIFLOWER. J. Field Robotics Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher
2023	—	`conf`	Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods. ICCV (Workshops) Mohamed M. Farag, Jana Kierdorf, Ribana Roscher
2023	J	`jnl`	Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery. CoRR Ahmed Emam, Timo T. Stomberg, Ribana Roscher
2023	—	`conf`	Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher
2023	J	`jnl`	Location-Aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting. IEEE Trans. Geosci. Remote. Sens. Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
2023	J	`jnl`	Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery. Frontiers Artif. Intell. Timo T. Stomberg, Johannes Leonhardt, Immanuel Weber, Ribana Roscher
2023	J	`jnl`	Reliability Scores From Saliency Map Clusters for Improved Image-Based Harvest-Readiness Prediction in Cauliflower. IEEE Geosci. Remote. Sens. Lett. Jana Kierdorf, Ribana Roscher
2023	J	`jnl`	Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower. CoRR Jana Kierdorf, Ribana Roscher
2022	J	`jnl`	Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage
2022	C	`conf`	Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection. IGARSS Immanuel Weber, Jens Bongartz, Ribana Roscher
2022	J	`jnl`	Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks. Frontiers Artif. Intell. Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
2022	B	`conf`	Controlled Multi-modal Image Generation for Plant Growth Modeling. ICPR Miro Miranda, Lukas Drees, Ribana Roscher
2022	J	`jnl`	Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset. Mach. Learn. Knowl. Extr. Scarlet Stadtler, Clara Betancourt, Ribana Roscher
2022	J	`jnl`	Exploring Self-Attention for Crop-type Classification Explainability. CoRR Ivica Obadic, Ribana Roscher, Dário Augusto Borges Oliveira, Xiao Xiang Zhu
2022	J	`jnl`	Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. CoRR Timo T. Stomberg, Taylor Stone, Johannes Leonhardt, Ribana Roscher
2022	J	`jnl`	GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER. CoRR Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher
2022	C	`conf`	Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. IGARSS Surbhi Sharma, Ribana Roscher, Morris Riedel, M. Shahbaz Memon, Gabriele Cavallaro
2022	J	`jnl`	Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting. CoRR Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall
2022	J	`jnl`	MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. CoRR Burak Ekim, Timo T. Stomberg, Ribana Roscher, Michael Schmitt
2022	C	`conf`	Occlusion Sensitivity Analysis of Neural Network Architectures for Eddy Detection. IGARSS Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher
2022	—	`conf`	Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks. GCPR Johannes Leonhardt, Lukas Drees, Peter Jung, Ribana Roscher
2022	—	`conf`	Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer. GCPR Lukas Drees, Immanuel Weber, Marc Rußwurm, Ribana Roscher
2021	J	`jnl`	A Survey of Uncertainty in Deep Neural Networks. CoRR 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
2021	C	`conf`	ArtifiVe-Potsdam: A Benchmark for Learning with Artificial Objects for Improved Aerial Vehicle Detection. IGARSS Immanuel Weber, Jens Bongartz, Ribana Roscher
2021	J	`jnl`	Artificial and beneficial - Exploiting artificial images for aerial vehicle detection. CoRR Immanuel Weber, Jens Bongartz, Ribana Roscher
2021	J	`jnl`	Behind the leaves - Estimation of occluded grapevine berries with conditional generative adversarial networks. CoRR Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher
2021	A	`conf`	Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. IROS Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
2021	J	`jnl`	Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. CoRR Benedikt Mersch, Thomas Höllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher
2021	J	`jnl`	Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks. CoRR Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher
2021	J	`jnl`	Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks. Comput. Electron. Agric. Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf, Ribana Roscher
2021	J	`jnl`	Towards a Collective Agenda on AI for Earth Science Data Analysis. CoRR Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls
2020	—	`conf`	A Whale's Tail - Finding the Right Whale in an Uncertain World. xxAI@ICML Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher
2020	—	`conf`	Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks. ECCV Workshops (6) Jonas Bömer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher
2020	J	`jnl`	Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks. CoRR Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
2020	J	`jnl`	Explainable Machine Learning for Scientific Insights and Discoveries. IEEE Access Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2019	C	`conf`	Detection of Anomalous Grapevine Berries Using All-Convolutional Autoencoders. IGARSS Laurenz Strothmann, Uwe Rascher, Ribana Roscher
2019	—	`conf`	Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CVPR Workshops Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
2019	J	`jnl`	Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CoRR Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
2019	J	`jnl`	Explainable Machine Learning for Scientific Insights and Discoveries. CoRR Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke
2019	C	`conf`	Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. IGARSS Alina Förster, Jens Behley, Jan Behmann, Ribana Roscher
2018	J	`jnl`	Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification. CoRR Lukas Drees, Ribana Roscher, Susanne Wenzel
2018	J	`jnl`	Foreword to the Special Issue on Machine Learning for Geospatial Data Analysis. ISPRS Int. J. Geo Inf. Jan Dirk Wegner, Ribana Roscher, Michele Volpi, Fabio Veronesi
2018	J	`jnl`	Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories. CoRR Johannes Oehrlein, Alina Förster, D. Schunck, Youness Dehbi, Ribana Roscher, Jan-Henrik Haunert
2018	C	`conf`	Ocean Eddy Identification and Tracking Using Neural Networks. IGARSS Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche
2018	J	`jnl`	Ocean Eddy Identification and Tracking using Neural Networks. CoRR Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche
2017	J	`jnl`	Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields. CoRR Ribana Roscher, Katja Herzog, Annemarie Kunkel, Anna Kicherer, Reinhard Töpfer, Wolfgang Förstner
2017	J	`jnl`	Deep Self-taught Learning for Remote Sensing Image Classification. CoRR Anika Bettge, Ribana Roscher, Susanne Wenzel
2017	J	`jnl`	Incremental Import Vector Machines for Classifying Hyperspectral Data. CoRR Ribana Roscher, Björn Waske, Wolfgang Förstner
2017	J	`jnl`	STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields. CoRR Ribana Roscher, Bernd Uebbing, Jürgen Kusche
2017	J	`jnl`	Sea Level Anomaly Prediction using Recurrent Neural Networks. CoRR Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel, Bernd Uebbing, Jürgen Kusche
2017	J	`jnl`	Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images. CoRR Ribana Roscher, Björn Waske
2017	C	`conf`	Sparse representation-based archetypal graphs for spectral clustering. IGARSS Ribana Roscher, Lukas Drees, Susanne Wenzel
2017	J	`jnl`	Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Johannes Rosentreter, Ron Hagensieker, Akpona Okujeni, Ribana Roscher, Paul D. Wagner, Björn Waske
2017	J	`jnl`	Tropical Land Use Land Cover Mapping in Pará (Brazil) using Discriminative Markov Random Fields and Multi-temporal TerraSAR-X Data. CoRR Ron Hagensieker, Ribana Roscher, Johannes Rosentreter, Benjamin Jakimow, Björn Waske
2017	J	`jnl`	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 Ron Hagensieker, Ribana Roscher, Johannes Rosentreter, Benjamin Jakimow, Björn Waske
2016	—	`conf`	On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models. WHISPERS Ribana Roscher, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer
2016	J	`jnl`	Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Ribana Roscher, Björn Waske
2015	C	`conf`	Landcover classification with self-taught learning on archetypal dictionaries. IGARSS Ribana Roscher, Christoph Römer, Björn Waske, Lutz Plümer
2015	C	`conf`	Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields. IGARSS Ribana Roscher, Bernd Uebbing, Jürgen Kusche
2015	J	`jnl`	Statistical Inference, Learning and Models in Big Data. CoRR 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
2014	J	`jnl`	Can I Trust My One-Class Classification? Remote. Sens. Benjamin Mack, Ribana Roscher, Björn Waske
2014	C	`conf`	Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields. IGARSS Ribana Roscher, Björn Waske
2012	J	`jnl`	I Image Vis. Comput. Ribana Roscher, Wolfgang Förstner, Björn Waske
2012	J	`jnl`	Incremental Import Vector Machines for Classifying Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. Ribana Roscher, Björn Waske, Wolfgang Förstner
2012	—	`—`	Sequential learning using incremental import vector machines for semantic segmentation. Ribana Roscher
2011	C	`conf`	Import vector machines based classification of multisensor remote sensing data. IGARSS Björn Waske, Ribana Roscher, Sascha Klemenjak
2011	—	`conf`	Incremental import vector machines for large area land cover classification. ICCV Workshops Ribana Roscher, Björn Waske, Wolfgang Förstner
2010	—	`conf`	High Dimensional Correspondences from Low Dimensional Manifolds - An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms. ACCV Workshops (2) Ribana Roscher, Falko Schindler, Wolfgang Förstner