Einträge mit Themengebiet "Institut für Datenwissenschaften > Datenmanagement und Analyse"

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Anzahl der Einträge auf dieser Ebene: 61.

A

Al-Sayeh, Hani und Memishi, Bunjamin und Paradies, Marcus und Sattler, Kai-Uwe (2020) Masha: Sampling-Based Performance Prediction of Big Data Applications in Resource-Constrained Clusters. In: The 1st Workshop on Distributed Infrastructure, Systems, Programming and AI (DISPA). Very Large Data Base Endowment Inc. (VLDB Endowment). The 1st Workshop on Distributed Infrastructure, Systems, Programming and AI (DISPA), 31 August 2020, Tokyo, Japan. Volltext nicht frei.

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Bollt, Erik M. und Sun, Jie und Runge, Jakob (2018) Introduction to Focus Issue: Causation inference and information flow in dynamical systems: Theory and applications. Chaos, 28 (7), 075201. American Institute of Physics (AIP). doi: 10.1063/1.5046848. ISSN 1054-1500.

Brajard, Julien und Charantonis, Anastase und Chen, Chen und Runge, Jakob (2019) Proceedings of the 9th International Workshop on Climate Informatics: CI 2019. NCAR.

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Camps-Valls, Gustau und Sejdinovic, Dino und Runge, Jakob und Reichstein, Markus (2019) A perspective on gaussian processes for earth observation. National Science Review. Oxford University Press. doi: 10.1093/nsr/nwz028. ISSN 2095-5138.

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Di Capua, G und Kretschmer, M und Runge, J und Alessandri, A und Donner, RV und van den Hurk, B und Vellore, R und Krishnan, R und Coumou, D (2019) Long-Lead Statistical Forecasts of the Indian Summer Monsoon Rainfall Based on Causal Precursors. Weather and Forecasting, 34 (5), Seiten 1377-1394. American Meteorological Society. doi: 10.1175/waf-d-19-0002.1. ISSN 0882-8156.

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Feddoul, Leila und Schindler, Sirko und Löffler, Frank (2019) Semantic Relatedness as an Inter-Facet Metric for Facet Selection over Knowledge Graphs. In: Lecture Notes in Computer Science. Springer Verlag. ESWC 2019, 02.06.2019 - 06.06.2019, Portorož, Slovenia. doi: 10.1007/978-3-030-32327-1_10. ISSN 0302-9743.

Feddoul, Leila und Schindler, Sirko und Löffler, Frank (2019) Automatic Facet Generation and Selection over Knowledge Graphs. In: 15th International Conference on Semantic Systems, SEMANTiCS 2019, Seiten 310-325. Springer. SEMANTiCS 2019, 09.-12. Sep. 2019, Karlsruhe, Germany. doi: 10.1007/978-3-030-33220-4_23. ISBN 978-3-030-33219-8. ISSN 0302-9743.

Feddoul, Leila und Schindler, Sirko und Löffler, Frank (2019) Automatic Facet Generation and Selection over Knowledge Graphs. RDA's 14th Plenary, 23.-25.10.2019, Helsinki, Finland.

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Gawlikowski, Jakob und Saha, Sudipan und Kruspe, Anna und Zhu, Xiao Xiang (2021) Out-of-Distribution Detection in Satellite Image Classification. In: RobustML Workshop at ICLR 2021, Seiten 1-5. ICRL. The Ninth International Conference on Learning Representations, 3.-7. May 2021, Virtual event.

Gawlikowski, Jakob und Saha, Sudipan und Kruspe, Anna und Zhu, Xiao Xiang (2022) An Advanced Dirichlet Prior Network for Out-of-distribution Detection in Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, 60, Seite 5616819. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2022.3140324. ISSN 0196-2892.

Gawlikowski, Jakob und Saha, Sudipan und Kruspe, Anna und Zhu, Xiao Xiang (2021) Towards Out-of-Distribution Detection for Remote Sensing. In: International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 8676-8679. IGARSS 2021, 11.-16.7.2021, Brüssel, Belgien. doi: 10.1109/IGARSS47720.2021.9553266.

Gawlikowski, Jakob und Schmitt, Michael und Kruspe, Anna und Zhu, Xiao Xiang (2020) On the fusion strategies of Sentinel-1 and Sentinel-2 data for local climate zone classification. In: 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Seiten 1-4. IGARSS 2020, 26.9.-2.10.2020, Virtual event. doi: 10.1109/igarss39084.2020.9324234. ISBN 978-172816374-1. ISSN 2153-6996.

Gerhardus, Andreas (2021) Learning cause-and-effect relationships from time series data. KITP Program: Machine Learning and the Physics of Climate, Santa Barbara, USA. doi: 10.26081/K6SP99.

Gerhardus, Andreas (2021) Causal discovery in time series with unobserved confounders. Joint IS-ENES3/ESiWACE2 Virtual Workshop on New Opportunities for ML and AI in Weather and Climate Modelling, 16.-18. März 2021, Online.

Gerhardus, Andreas und Runge, Jakob (2021) LPCMCI: Causal Discovery in Time Series with Latent Confounders. EGU General Assembly 2021, 19. - 30. April 2021, Online. doi: 10.5194/egusphere-egu21-8259.

Gerhardus, Andreas und Runge, Jakob (2020) High-recall causal discovery for autocorrelated time series with latent confounders. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), 06.-12.12.2020, Online.

Gerhardus, Andreas und Runge, Jakob (2020) Causal Discovery for Climate Time Series in the Presence of Unobserved Variables. EGU General Assembly 2020, 04.-08. Mai 2020, Online. doi: 10.5194/egusphere-egu2020-9270.

Gütter, Jonas Aaron (2019) Bringing together visual analytics and probabilistic programming languages. Masterarbeit, Friedrich-Schiller-Universität Jena.

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Johnson, Michael A. C. und Paradies, Marcus und Dembska, Marta und Lackeos, Kristen und Klöckner, Hans-Rainer und Champion, David J. und Schindler, Sirko (2021) Astronomical Pipeline Provenance: A Use Case Evaluation. In: TaPP 2021 - 13th International Workshop on Theory and Practice of Provenance. Theory and Practice of Provenance (TaPP 2021), 19.-22. Juli 2021, virtual.

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Krich, Christopher und Migliavacca, Mirco und Miralles, Diego G und Kraemer, Guido und El-Madany, Tarek und Reichstein, Markus und Runge, Jakob und Mahecha, Miguel D (2021) Functional convergence of biosphere-atmosphere interactions in response to meteorological conditions. Biogeosciences, 18 (7), Seiten 2379-2404. Copernicus Publications. doi: 10.5194/bg-18-2379-2021. ISSN 1726-4170.

Krich, Christopher und Runge, Jakob und Miralles, Diego G und Migliavacca, Mirco und Perez-Priego, Oscar und El-Madany, Tarek S und Carrara, Arnaud und Mahecha, Miguel D (2019) Causal networks of biosphere--atmosphere interactions. Biogeosciences Discussions. Copernicus Publications. doi: 10.5194/bg-2019-297. ISSN 1810-6277.

Kruspe, Anna (2019) Few-shot tweet detection in emerging disaster events. AI+HADR Workshop @ NeurIPS, 13 Dec 2019, Vancouver, Canada.

Kruspe, Anna und Kersten, Jens und Klan, Friederike (2019) Automatic Detection of Informative Tweets during Disasters. EGU General Assembly 2019, 07.-12. April 2019, Wien, Österreich. Volltext nicht online.

Kruspe, Anna und Kersten, Jens und Klan, Friederike (2019) Detecting Event-Related Tweets by Example using Few-Shot Models. ISCRAM 2019 Conference Proceedings - 16th International Conference on Information Systems for Crisis Response and Management, Valencia, Spain.

Kruspe, Anna und Kersten, Jens und Klan, Friederike (2019) Automatic detection of informative tweets during disasters. EGU 2019, Vienna, Austria.

Kruspe, Anna und Kersten, Jens und Klan, Friederike (2019) detecting Event-Related Tweets by Example Using Few-Shot Models. In: 16th International Conference on Information Systems for Crisis Response and Management. ISCRAM 2019 Conference Proceedings - 16th International Conference on Information Systems for Crisis Response and Management, 19.-22. Mai 2019, Valencia, Spanien.

Käding, Christoph und Runge, Jakob (2021) A Benchmark for Bivariate Causal Discovery Methods. EGU General Assembly 2021, Online.

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Listemann, Marc und Trapp, Matthias und Doellner, Juergen (2019) Lens-based Focus+Context Visualization Techniques for Interactive Exploration of Web- based Reachability Maps. Journal of WSCG, 27 (2). University of West Bohemia. doi: 10.24132/JWSCG.2019.27.2.1. ISSN 1213-6972.

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Magagna, Barbara und Moncoiffe, Gwenaelle und Devaraju, Anusuriya und Buttigieg, Pier Luigi und Stoica, Maria und Schindler, Sirko (2020) Towards an interoperability framework for observable property terminologies. In: EGU General Assembly 2020. EGU General Assembly 2020, 03. - 08.05.2020, Vienna, Austria. doi: 10.5194/egusphere-egu2020-19895.

Magagna, Barbara und Moncoiffe, Gwenaelle und Devaraju, Anusuriya und Stoica, Maria und Schindler, Sirko und Pamment, Alison (2021) I-ADOPT Framework 1.0.0. In: RDA Virtual Plenary 17. RDA Virtiual Plenary 17, 20. - 23.04.2021, virtual. Volltext nicht online.

Magagna, Barbara und Moncoiffe, Gwenaelle und Stoica, Maria und Devaraju, Anusuriya und Pamment, Alison und Schindler, Sirko und Huber, Robert (2021) The I-ADOPT Interoperability Framework: a proposal for FAIRer observable property descriptions. In: EGU General Assembly 2021. EGU General Assembly 2021, 19. - 30.04.2021, virtual. doi: 10.5194/egusphere-egu21-13155. Volltext nicht online.

Magagna, Barbara und Rosati, Ilaria und Stoica, Maria und Schindler, Sirko und Moncoiffe, Gwenaelle und Devaraju, Anusuriya und Peterseil, Johannes und Huber, Robert (2021) The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity. In: JOWO 2021 - Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge. 3rd International Workshop on Semantics for Biodiversity, 15. Sep. 2021, virtual. ISSN 1613-0073.

Manjunath, Apoorva Thimlapura (2021) Efficiently storing and accessing high-resolution solar images using light weight compression techniques. Masterarbeit, TU Ilmenau. Volltext nicht online.

Memishi, Bunjamin und Appuswamy, Raja und Paradies, Marcus (2019) Cold Storage Data Archives: More Than Just a Bunch of Tapes. In: Proceedings of the 15th International Workshop on Data Management on New Hardware, 1:1-1:7. ACM, New York, NY, USA. Proceedings of the 15th International Workshop on Data Management on New Hardware, 01-01 Jul 2019, Amsterdam, Netherlands. doi: 10.1145/3329785.3329921. ISBN 978-1-4503-6801-8. Volltext nicht frei.

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Nepal, Santosh und Pradhananga, Saurav und Shrestha, Narayan Kumar und Kralisch, Sven und Shrestha, Jayandra und Fink, Manfred (2020) Space-time variability of soil moisture droughts in the Himalayan region. Hydrology and Earth System Sciences. Copernicus Publications. doi: 10.5194/hess-25-1761-2021. ISSN 1027-5606. (eingereichter Beitrag)

Nowack, Peer und Runge, Jakob und Eyring, Veronika und Haigh, J.D. (2020) Causal networks for climate model evaluation and constrained projections. Nature Communications, 11, 1415/1-11. Nature Publishing Group. doi: 10.1038/s41467-020-15195-y. ISSN 2041-1723.

Nurgaliev, Azat und Paradies, Marcus (2021) Automated I/O Parameter Tuning of Scientific Applications with Parametrizable Workload Replays. FAST '21 Work-in-Progress Reports (WiPs), 23-25 Feb 2021, United States of America.

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Opasjumruskit, Kobkaew und Peters, Diana und Schindler, Sirko (2021) Automatic Data Sheet Information Extraction for Supporting Model-Based Systems Engineering. In: 18th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2021, 12983, Seiten 97-102. Springer International Publishing. CDVE 2021: Cooperative Design, Visualization, and Engineering, 24.-27. Okt. 2021, Online. doi: 10.1007/978-3-030-88207-5_10. ISBN 978-303088206-8. ISSN 0302-9743.

Opasjumruskit, Kobkaew und Peters, Diana und Schindler, Sirko (2020) DSAT: Ontology-based Information Extraction on Technical Data Sheets. ISWC 2020, 2.-6. Nov. 2020, Online.

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Pamment, Alison und Magagna, Barbara und Moncoiffe, Gwenaelle und Devaraju, Anusuriya und Stoica, Maria und Schindler, Sirko (2021) Improving the Interoperability of CF Standard Names in Environmental Science. American Geophysical Union - Fall Meeting 2021, virtual. Volltext nicht online.

Paradies, Marcus (2021) Near-data processing - State-of-the-art and open problems. Dagstuhl Reports, 11 (6), Seiten 46-50. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. doi: 10.4230/DagRep.11.6.38. ISSN 2192-5283.

Pestka, Constantin (2021) Enabling Next-Generation Real-Time Pulsar Astronomy via Accelerated Processing on Tensor Cores. Masterarbeit, Uni Bielefeld. Volltext nicht online.

Pfeiffer, Linda und Martinussen, Michelle und Rosenthal, Paul (2021) On Glyph Design for Wind Information in En-Route Air Traffic Control. In: 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, 3, Seiten 164-172. SciTePress. 12th International Conference on Information Visualization Theory and Applications, 08.-10. Feb. 2021, online. doi: 10.5220/0010227701640172. ISBN 978-989-758-488-6. ISSN 2184-4321. Volltext nicht frei.

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Reibert, Joshua und Riehmann, Patrick und Froehlich, Bernd (2020) Multitouch Interaction with Parallel Coordinates on Large Vertical Displays. Proceedings of the ACM on Human-Computer Interaction, 4 (ISS), Seiten 1-22. Association for Computing Machinery (ACM). doi: 10.1145/3427327. ISSN 2573-0142.

Reimers, Christian und Penzel, Niklas und Bodesheim, Paul und Runge, Jakob und Denzler, Joachim (2021) Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. Sixth ISIC Skin Image Analysis Workshop @ CVPR 2021 Virtual, June 19, 2021, Online. doi: 10.1109/CVPRW53098.2021.00200. ISSN 2160-7508. Volltext nicht frei.

Reimers, Christian und Runge, Jakob und Denzler, Joachim (2020) Using Causal Inference to Globally Understand Black Box Predictors Beyond Saliency Maps. In: Proceedings of the 9th International Workshop on Climate Informatics: CI 2019, Seiten 1-4. 9th Int. Work. Clim. Informatics, Paris.

Requena-Mesa, Christian und Benson, Vitus und Reichstein, Markus und Runge, Jakob und Denzler, Joachim (2021) EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021. CVPR EarthVision Workshop, June 19, 2021, Online. doi: 10.1109/CVPRW53098.2021.00124. ISSN 2160-7508. Volltext nicht frei.

Rewicki, Ferdinand (2021) Estimating Uncertainty of Deep Learning Multi-Label Classifications using Laplace Approximation. Masterarbeit, Friedrich-Schiller-Universität Jena.

Riehmann, Patrick und Molina León, Gabriela und Reibert, Joshua und Echtler, Florian und Froehlich, Bernd (2020) Short‐Contact Touch‐Manipulation of Scatterplot Matrices on Wall Displays. Computer Graphics Forum, 39 (3), Seiten 265-276. Wiley-Blackwell. doi: 10.1111/cgf.13979. ISSN 0167-7055.

Runge, Jakob und Bathiany, Sebastian und Bollt, Erik und Camps-Valls, Gustau und Coumou, Dim und Deyle, Ethan und Glymour, Clark und Kretschmer, Marlene und Mahecha, Miguel D und Muñoz-Mar\'\i, Jordi und van Nes, Egbert H und Peters, Jonas und Quax, Rick und Reichstein, Markus und Scheffer, Marten und Sch\"lkopf, Bernhard und Spirtes, Peter und Sugihara, George und Sun, Jie und Zhang, Kun und Zscheischler, Jakob (2019) Inferring causation from time series in earth system sciences. Nature Communications, 10 (1), Seite 2553. Nature Publishing Group. doi: 10.1038/s41467-019-10105-3. ISSN 2041-1723.

Runge, Jakob und Nowack, Peer und Kretschmer, Marlene und Flaxman, Seth und Sejdinovic, Dino (2019) Detecting and quantifying causal associations in large nonlinear time series datasets. Science Advances, eaau49 (5). American Association for the Advancement of Science (AAAS). doi: 10.1126/sciadv.aau4996. ISSN 2375-2548.

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Satpute, Ankit Suresh (2021) Feature Based Representative Workload Construction from Traces. Masterarbeit, BU Weimar. Volltext nicht online.

Schindler, Sirko und Keil, Jan Martin (2019) Building Ontologies for Reuse. 2nd International Workshop on Bad Or Good Ontology, 23.-25. Sep. 2019, Graz, Austria. (eingereichter Beitrag)

Schindler, Sirko und Klan, Friederike (2019) Automated Data Integration - How to enable a not (yet) Redeemed Promise? W3C Workshop on Web Standardization for Graph Data, 04.-06.03.2019, Berlin, Germany.

Steinberg, Markus und Schindler, Sirko und Klan, Friederike (2019) Open Data Kit Goes Semantic - A Contribution to the Interpretability and Interoperability of Citizen Science Data. Forum Citizen Science 2019, 26.-27. Sept. 2019, Münster.

Steinberg, Markus D. und Schindler, Sirko und Klan, Friederike (2019) Software solutions for form-based, mobile data collection - A comparative evaluation. In: Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI). Workshop on Big (and Small) Data in Science and Humanities, 05.03.2019, Rostock, Germany. doi: 10.18420/btw2019-ws-14.

Steinberg, Markus D. und Schindler, Sirko und Klan, Friederike (2019) Open Data Kit Goes Semantic - A Contribution to the Interpretability and Interoperability of Field Data. iDiv Annual Conference 2019, 29.-20. Aug. 2019, Leipzig, Deutschland. Volltext nicht frei.

Steinberg, Markus Daniel und Schindler, Sirko und Klan, Friederike (2019) Bringing Semantics to Citizen Data Collection - A Semantic Extension of Open Data Kit 1. EGU General Assembly 2019, 07.-12. April 2019, Wien. Volltext nicht online.

Surber, Tim (2021) Entwicklung eines Benutzermodells zur nutzeradaptiven Suche von Datensätzen. Masterarbeit, Friedrich-Schiller-Universität Jena.

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Trifunov, Violeta Teodora und Shadaydeh, Maha und Runge, Jakob und Eyring, Veronika und Reichstein, Markus und Denzler, Joachim (2020) Causal Link Estimation under Hidden Confounding in Ecological Time Series. 9th Int. Work. Clim. Informatics, Paris.

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Watson, Andrew und Kralisch, Sven und Künne, Annika und Fink, Manfred und Miller, Jodie (2020) Impact of precipitation data density and duration on simulated flow dynamics and implications for ecohydrological modelling of semi-arid catchments of Southern Africa. Journal of Hydrology, 590, Seite 125280. Elsevier. doi: 10.1016/j.jhydrol.2020.125280. ISSN 0022-1694. Volltext nicht frei.

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