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Items where Subject is "Institute of Data Science > Data Analysis and Intelligence"

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Number of items at this level: 65.

  Balasis, Georgios and Balikhin, Michael A and Chapman, Sandra C and Consolini, Giuseppe and Daglis, Ioannis A and Donner, Reik V and Kurths, Jürgen and Palu\v, Milan and Runge, Jakob and Tsurutani, Bruce T and Vassiliadis, Dimitris and Wing, Simon and Gjerloev, Jesper W. and Johnson, Jay and Materassi, Massimo and Alberti, Tommaso and Papadimitriou, Constantinos and Manshour, Pouya and Boutsi, Adamantia Zoe and Stumpo, Mirko (2023) Complex systems methods characterizing nonlinear processes in the near-earth electromagnetic environment: Recent advances and open challenges. Space Science Reviews, 219 (5), p. 38. Springer. doi: 10.1007/s11214-023-00979-7. ISSN 0038-6308. file

  Bodesheim, Paul and Blunk, Jan and Körschens, Matthias and Brust, Clemens-Alexander and Käding, Christoph and Denzler, Joachim (2022) Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes. Mammalian Biology. Springer. doi: 10.1007/s42991-022-00224-8. ISSN 1616-5047. file

  Bouhlal, Badr-Eddine and Gruner, Bernd and Sonnekalb, Tim and Brust, Clemens-Alexander (2022) Machine Learning Applications in Secure Software Engineering. WissensAustauschWorkshop Machine Learning, 2022-11-07 - 2022-11-09, Jena, Deutschland. file

  Boyé, Pascal (2022) Betrachtung der Gradientenbestimmung für den Adam Algorithmus. Bachelor's, Technische Universität Ilmenau. Volltext nicht frei. file

  Brust, Clemens-Alexander and Barz, Björn and Denzler, Joachim (2022) Self-Supervised Learning from Semantically Imprecise Data. In: 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, 5, pp. 27-35. SCITEPRESS. Computer Vision Theory and Applications (VISAPP), 2022-02-06 - 2022-02-08, Online. doi: 10.5220/0010766700003124. ISBN 978-989-758-555-5. ISSN 2184-4321. file

  Camps-Valls, Gustau and Gerhardus, Andreas and Ninad, Urmi and Varando, Gherardo and Martius, Georg and Balaguer-Ballester, Emili and Vinuesa, Ricardo and Diaz, Emiliano and Zanna, Laure and Runge, Jakob (2023) Discovering causal relations and equations from data. Physics Reports, 1044, pp. 1-68. Elsevier. doi: 10.1016/j.physrep.2023.10.005. ISSN 0370-1573. file

  Chamarthi, Sireesha and Fogelberg, Katharina and Brinker, Titus J. and Niebling, Julia (2023) Mitigating the influence of domain shift in skin lesion classification: A benchmark study of unsupervised domain adaptation methods. Informatics in Medicine Unlocked, 44, p. 101430. Elsevier. doi: 10.1016/j.imu.2023.101430. ISSN 2352-9148. file

  Debeire, Kevin and Gerhardus, Andreas and Runge, Jakob and Eyring, Veronika (2024) Bootstrap aggregation and confidence measures to improve time series causal discovery. In: 3rd Conference on Causal Learning and Reasoning, CLeaR 2024, 236, pp. 979-1007. 3rd Conference on Causal Learning and Reasoning, CLeaR 2024, 2024-04-01 - 2024-04-03, Los Angeles. ISSN 2640-3498. file

  Dietenberger, Steffen and Mueller, Marlin M. and Bachmann, Felix and Nestler, Maximilian and Ziemer, Jonas and Metz, Friederike and Heidenreich, Marius G. and Koebsch, Frankziska and Hese, Sören and Dubois, Clémence and Thiel, Christian (2023) Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data. Remote Sensing, 15 (18). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15184366. ISSN 2072-4292. file

  Dietenberger, Steffen and Müller, Marlin and Adam, Markus and Bachmann, Felix and Metz, Friederike and Nestler, Maximilian and Hese, Sören and Thiel, Christian (2023) Digital forest inventory based on UAV imagery. European Geosciences Union General Assembly 2023, 2023-04-23 - 2023-04-28, Wien, Österreich. Volltext nicht online.

  Ertmer, Markus Till (2023) Domain Shifts and Interpretability in AI-based Skin Cancer Diagnosis. Master's, Ernst-Abbe-Hochschule Jena. file

  Fauerbach, Tim (2023) Web-basiertes Tool zur Visualisierung und Analyse von Punktwolken aus unterschiedlichen Datenquellen. Master's, Goethe-Universität Frankfurt am Main. Volltext nicht online.

  Fogelberg, Katharina and Chamarthi, Sireesha and Maron, Roman C. and Niebling, Julia and Brinker, Titus J. (2023) Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. New Biotechnology, 76, pp. 106-117. Elsevier. doi: 10.1016/j.nbt.2023.04.006. ISSN 1871-6784. file

  Fons, Emilie and Runge, Jakob and Neubauer, David and Lohmann, Ulrike (2023) Stratocumulus adjustments to aerosol perturbations disentangled with a causal approach. npj Climate and Atmospheric Science, 6 (1), p. 130. Springer. doi: 10.1038/s41612-023-00452-w. ISSN 2397-3722. file

  Galytska, Evgenia and Weigel, Katja and Handorf, Dörthe and Jaiser, Ralf and Köhler, Raphael and Runge, Jakob and Eyring, Veronika (2023) Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6. Journal of Geophysical Research: Atmospheres, 128 (17). Wiley. doi: 10.1029/2022JD037978. ISSN 2169-897X. file

  Gerhardus, Andreas (2022) Reliable causal discovery in time series. Workshop on Artificial Intelligence, Causality and Personalised Medicine (AICPM 2022), 2022-09-08 - 2022-09-09, Hybrid (Hannover, Deutschland, und online). file

  Gerhardus, Andreas (2022) Kausale Inferenz: Datengetriebene Analyse von Ursache-Wirkungs-Zusammenhängen. Herbsttagung 2022 der German Data Science Society e.V., 2022-11-16, Bonn, Deutschland. Volltext nicht frei. file

  Gerhardus, Andreas (2022) Learning cause-and-effect relationships from time series data. 1st Causal Methods in Environmental Science Workshop, 2022-12-06 - 2022-12-07, Hybrid (Cambridge, UK, und online). Volltext nicht frei. file

  Gerhardus, Andreas (2023) Novel developments in causal graphical models for time series. Seminarvortrag am Lehrstuhl für Mathematische Statistik der Technischen Universität München, 2023-11-06, Garching bei München. (Unpublished) Volltext nicht online.

  Gerhardus, Andreas and Runge, Jakob (2022) Numerical study of constraint-based time series causal discovery algorithms on synthetic data with heavy-tailed noise distributions. Workshop on Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes, 2022-06-26 - 2022-07-01, Hybrid (Kelowna, Kanada, und virtuell). Volltext nicht online.

  Gerhardus, Andreas and Runge, Jakob (2022) Causal Discovery in Ensembles of Climate Time Series. EGU General Assembly 2022, 2022-05-23 - 2022-05-27, Hybrid (Wien, Östereich, und virtuell). Volltext nicht online.

  Günther, Wiebke (2023) Causal Discovery for time series from multiple datasets with latent contexts. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023. Causal inference for time series data Workshop at UAI 2023, 2023-08-04, Pittsburgh, USA. ISSN 2640-3498. Volltext nicht online.

  Günther, Wiebke and Miersch, Peter and Ninad, Urmi and Runge, Jakob (2023) Clustering of causal graphs to explore drivers of river discharge. In: Environmental Data Science, 2, pp. 1-9. Cambridge University Press. 12th International Conference on Climate Informatics, 2023-04-19 - 2023-04-21, Cambridge, England. doi: 10.1017/eds.2023.17. file

  Günther, Wiebke and Ninad, Urmi and Runge, Jakob (2023) Causal Discovery for time series from multiple datasets with latent contexts. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023 (216), pp. 766-776. Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 2023-08-01 - 2023-08-03, Pittsburgh, USA. ISSN 2640-3498. file

  Günther, Wiebke and Ninad, Urmi and Wah, Jonas and Runge, Jakob (2022) Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, pp. 16191-16202. Thirty-sixth Conference on Neural Information Processing Systems, 2022-11-28 - 2022-12-04, New Orleans, Vereinigte Staaten von Amerika. ISBN 978-171387108-8. ISSN 1049-5258. file

  Hochsprung, Tom and Wahl, Jonas and Gerhardus, Andreas and Ninad, Urmi and Runge, Jakob (2023) Increasing Effect Sizes of Pairwise Conditional Independence Tests between Random Vectors. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023 (216), pp. 879-889. 39th Conference on Uncertainty in Artificial Intelligence, 2023-08-01 - 2023-08-03, Pittsburgh, PA, USA. ISSN 2640-3498. Volltext nicht online.

  Kaeding, Christoph and Runge, Jakob (2023) Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation. Journal of Machine Learning Research, 24 (278), pp. 1-144. Microtome Publishing. ISSN 1532-4435. file

  Karmouche, Soufiane and Galytska, Evgenia and Runge, Jakob and Meehl, Gerald A. and Phillips, Adam S. and Weigel, Katja and Eyring, Veronika (2023) Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6. Earth System Dynamics, 14 (2), pp. 309-344. Copernicus Publications. doi: 10.5194/esd-14-309-2023. ISSN 2190-4979. file

  Koebsch, Frankziska and Mund, Martina and Klosterhalfen, Anne and Dietenberger, Steffen and Donfack, Laura and Heidenreich, Marius and Markwitz, Christian and Montero, David and Thiel, Christian and Tiedemann, Frank and Knohl, Alexander (2023) Stress response and transformation processes initiated by the summer drought 2018 - a multi-scale study from the Hainich forest. European Geosciences Union General Assembly 2023, 2023-04-23 - 2023-04-28, Wien, Österreich. doi: 10.5194/egusphere-egu23-14520. Volltext nicht online.

  Krich, Christopher and Mahecha, Miguel and Migliavacca, Mirco and De Kauwe, Martin G and Griebel, Anne and Runge, Jakob and Miralles, Diego G (2022) Decoupling between ecosystem photosynthesis and transpiration: a last resort against overheating. Environmental Research Letters. Institute of Physics (IOP) Publishing. doi: 10.1088/1748-9326/ac583e. ISSN 1748-9326. file

  Mueller, Marlin M. and Thiel, Christian and Klan, Friederike and Lenz, Josefine and Kaiser, Soraya and Langer, Moritz and Lantuit, Hugues and Marx, Sabrina and Fritz, Oliver and Zipf, Alexader (2023) UNDERCOVEREISAGENTEN - ERSTE EXPEDITION UND AKTUELLER STAND DES ARKTISCHEN PERMAFROSTPROJEKTS. Österreichische Citizen Science Konferenz 2023, 2023-04-19 - 2023-04-21, Linz, Österreich. file

  Niebling, Julia (2022) A multiobjective view on creating counterfactual explanations for explaining uncertainty in machine learning. [Other] file

  Nussbaum, Frank / FN and Gawlikowski, Jakob / JG and Niebling, Julia (2022) Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. In: 2022 International Joint Conference on Neural Networks, IJCNN 2022. Conference on Neural Information Processing Systems (NeuRIPS), 2022-11-28 - 2022-12-09, New Orleans. ISBN 978-1-7281-8671-9. ISSN 2161-4393. Volltext nicht frei. file

  Rabel, Martin and Popescu, Oana and Runge, Jakob (2023) Hands-On Session on Causal Mediation Analysis & Corresponding Poster. XAIDA General Assembly 2023, 2023-10-16 - 2023-10-18, Valencia, Spain. (Unpublished) Volltext nicht frei. file

  Reimers, Christian and Bodesheim, Paul and Runge, Jakob and Denzler, Joachim (2022) Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. In: 43rd DAGM German Conference on Pattern Recognition, DAGM GCPR 2021, 13024. Springer, Cham. 43rd DAGM German Conference for Pattern Recognition, 2021-09-28 - 2021-10-01, Bonn, Deutschland. doi: 10.1007/978-3-030-92659-5_4. ISBN 978-3-030-92658-8. ISSN 0302-9743. Volltext nicht online.

  Rewicki, Ferdinand (2023) Machine Learning for Space Gardening. Seminar "Maschinelles Lernen", 2023-05, Jena, Germany. (Unpublished) Volltext nicht online.

  Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series. Applied Sciences. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app13031778. ISSN 2076-3417. file

  Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Unsupervised Anomaly Detection for Space Gardening. Advances in Artificial Intelligence for Aerospace Engineering, 2023-05-30, Paris. (Unpublished) Volltext nicht online.

  Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Unsupervised Anomaly Detection for Space Gardening. Data Science Day Jena 2023, 2023-05-10, Jena, Germany. file

  Rewicki, Ferdinand and Gawlikowski, Jakob (2022) Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, pp. 1560-1563. IEEE. IGARSS 2022 - IEEE International Geoscience and Remote Sensing Symposium, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884167. ISBN 978-166542792-0. ISSN 2153-7003. Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Helmholtz Center Munich Seminar Series, 2022-09, Munich, Deutschland (virtuell). Volltext nicht online.

  Runge, Jakob (2023) Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships. Nature Communications, 14 (1), p. 1917. Nature Publishing Group. doi: 10.1038/s41467-023-37546-1. ISSN 2041-1723. file

  Runge, Jakob (2021) Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Curran Associates, Inc.. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021-12-06 - 2021-12-14, Virtuell. ISBN 978-171384539-3. ISSN 1049-5258. file

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. CMU/STAMPS webinar, 2022-04-22, Pittsburgh, USA (virtuell). Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery. Simulation-based Science Community Series, 2022-04, Amsterdam, Niederlande. Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery. causality conference at Madrid, 2022-05, Madrid, Spanien. Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Aspen workshop Exploring the frontiers in Earth system modeling with machine learning and big data, 2022-06-05 - 2022-06-10, Aspen, USA (virtuell). Volltext nicht online.

  Runge, Jakob (2022) Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes. BANFF Workshop in Extremes and causality, 2022-07, Banff, Kanada (Virtuell). Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Columbia University Seminar, 2022-12-08, New York, USA. Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Seminar, Nairobi, Kenia. Volltext nicht online.

  Runge, Jakob (2022) Explainable AI in climate science and its limitations. Lorentz Center Workshop on subseasonal prediction, 2022-09-05 - 2022-09-09, Leiden, Niederlande. Volltext nicht online.

  Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data, Dresden, Deutschland. Volltext nicht online.

  Runge, Jakob and Ebert-Uphoff, Imme (2022) Causal inference for Earth system sciences. AI4Good, 2022-01, Genf, Schweiz (Virtuell). Volltext nicht online.

  Schulte-Kroll, Anne (2022) Unsupervised Learning of Reusable Text Sequence Representations for IT-Infrastructure Health Monitoring using Anomaly Detection. Master's, FSU Jena. Volltext nicht frei. file

  Sonnekalb, Tim and Gruner, Bernd and Brust, Clemens-Alexander and Mäder, Patrick (2022) Generalizability of Code Clone Detection on CodeBERT. In: 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. ACM. ASE 2022, 2022-10-10 - 2022-10-14, Michigan, USA. ISBN 978-145039475-8. file

  Sudheesh, Saranya Ganesh and Beucler, Tom and Tam, Frederick Iat-Hin and Gomez, Milton S. and Runge, Jakob and Gerhardus, Andreas (2023) Selecting robust features for machine-learning applications using multidata causal discovery. Environmental data science, 2. Cambridge University Press. doi: 10.1017/eds.2023.21. ISSN 2634-4602. file

  Sudheesh, Saranya Ganesh and Beucler, Tom Georges and Tam, Frederick Iat-Hin and Gerhardus, Andreas and Runge, Jakob (2023) Causal Discovery to Improve Machine Learning-Based Tropical Cyclone Intensity Predictions. 103rd AMS annual meeting, Denver, CO, USA und Online. Volltext nicht online.

  Ulman, Hannah and Gütter, Jonas Aaron and Niebling, Julia (2023) Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints. Frontiers in Remote Sensing (3), p. 1100012. Frontiers Media S.A.. doi: 10.3389/frsen.2022.1100012. ISSN 2673-6187. file

  Veselova, Inna (2022) Evaluation von verteilten Algorithmen zur Diabeteserkennung unter Beachtung des Datenschutzes. Bachelor's. Volltext nicht frei. file

  Wahl, Jonas and Ninad, Urmi and Runge, Jakob (2023) Vector causal inference between two groups of variables. In: 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37 (10), pp. 12305-12312. Proceedings of the AAAI Conference on Artificial Intelligence, Washington DC. doi: 10.1609/aaai.v37i10.26450. ISBN 978-157735880-0. file

  Wen, Jiaming and Runge, Jakob and Gerhardus, Andreas and Sun, Ying (2023) Differential Interannual Sensitivities to Water Availability Between Amazon and Congo Rainforests. AGU Annual Meeting 2023, 2023-12-11 - 2023-12-15, San Francisco, CA, USA und Online. (Unpublished) Volltext nicht online.

  Wen, Jiaming and Runge, Jakob and Gerhardus, Andreas and Sun, Ying (2022) Understanding and Predicting the Interannual Variability (IAV) of the Global Terrestrial Carbon Cycle. AGU Fall Meeting, 2022-12-12 - 2022-12-16, Chicago, IL, USA und Online. (Unpublished) Volltext nicht online.

  Ziemer, Jonas and Dubois, Clémence and Thiel, Christian and Bueso Bello, Jose Luis and Rizzoli, Paola and Schmullius, C. (2023) Relationship between Lidar-Derived Canopy Densities and the Scattering Phase Center of High-Resolution TanDEM-X Data. Remote Sensing. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15143589. ISSN 2072-4292. file

  de Castro, Luciano and Cundy, Lance D. and Galvao, Antonio F. and Westenberger, Rafael (2023) A dynamic quantile model for distinguishing intertemporal substitution from risk aversion. European Economic Review, 159 (104587). Elsevier. doi: 10.1016/j.euroecorev.2023.104587. ISSN 0014-2921. Volltext nicht online.

  von Gönner, Julia and Herrmann, Thora M. and Bruckermann, Till and Eichinger, Michael and Hecker, Susanne and Klan, Friederike and Lorke, Julia and Richter, Anett and Sturm, Ulrike and Voigt-Heucke, Silke and Brink, Wiebke and Liedtke, Christin and Premke-Kraus, Matthias and Altmann, Carolin and Bauhus, Wilhelm and Bengtsson, Luiza and Büermann, Andrea and Dietrich, Peter and Dörler, Daniel and Eich-Brod, Regina and Ferschinger, Laura and Freyberg, Linda and Grützner, Agnes and Hammel, Gertrud and Heigl, Florian and Heyen, Nils B. and Hölker, Franz and Johannsen, Carolin and Kluß, Thorsten and Kluttig, Thekla and Knobloch, Jörn and Munke, Martin and Mortega, Kim and Pathe, Carsten and Soßdorf, Anna and Stämpfli, Tiina and Thiel, Christian and Tönsmann, Susanne and Valentin, Anke and Wagenknecht, Katherin and Wegener, Robert and Woll, Silvia and Bonn, Aletta (2023) Citizen science’s transformative impact on science, citizen empowerment and socio-political processes. Socio-Ecological Practice Research, 5 (1), pp. 11-33. Springer Nature. doi: 10.1007/s42532-022-00136-4. ISSN 2524-5279. file

This list was generated on Fri Jun 21 20:17:57 2024 CEST.
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