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Publication search results
found 80 matches
- 2024
- Min Ji, Huan Xie, Jürgen Oberst, Qi Xu, Yuan Sun, Sicong Liu, Changda Liu, Xiaohua Tong:
Deforestation detection from spaceborne full-waveform laser altimetry, incorporating terrain effects: A case study in Porto Velho, Brazil. Int. J. Appl. Earth Obs. Geoinformation 129: 103861 (2024) - Miguel Macías, C. Bonaldi, C. L. Fontana, W. Geerts, A. J. M. Plompen, S. Oberstedt, M. Vidali:
NEBOAS: A Neutron yiElds Based On AcceleratorS application. Comput. Phys. Commun. 304: 109304 (2024) - Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst:
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024: 12143-12170 - Hao Chen, Philipp Gläser, Xuanyu Hu, Konrad Willner, Jürgen Oberst:
Deep Learning-Based Modeling of High-Resolution Lunar Topography Using Orbiter Imagery. IGARSS 2024: 6084-6087 - Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid:
Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. ISBI 2024: 1-5 - Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid:
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. CoRR abs/2402.17744 (2024) - Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - Jan Oberst, Johann Bonneau:
Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning. CoRR abs/2405.11512 (2024) - Jan Oberst:
Sliding Block (Slick) Hashing: An Implementation & Benchmarks. CoRR abs/2409.20125 (2024) - 2023
- Saifur R. Khan, Andreea Obersterescu, Erica P. Gunderson, Babak Razani, Michael B. Wheeler, Brian J. Cox:
metGWAS 1.0: an R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome-wide association studies. Bioinform. 39(9) (2023) - Neil Daruwala, Ursula Oberst:
A systematic literature review of Smart Home Technology acceptance. J. Ambient Intell. Smart Environ. 15(2): 115-142 (2023) - Tobias Uelwer, Sebastian Konietzny, Alexander Oberstraß, Stefan Harmeling:
Learning Conditional Generative Models for Phase Retrieval. J. Mach. Learn. Res. 24: 332:1-332:28 (2023) - Shu Su, Lida Fanara, Haifeng Xiao, Ernst Hauber, Jürgen Oberst:
Detection of Detached Ice-fragments at Martian Polar Scarps Using a Convolutional Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1728-1739 (2023) - Luis Oberste, Florian Rüffer, Okan Aydingül, Johann Rink, Armin Heinzl:
Designing User-Centric Explanations for Medical Imaging with Informed Machine Learning. DESRIST 2023: 470-484 - Prathamesh Mandke, Rachel Oberst, Matthias Reisser, Avijit Chakraborty, Christos Louizos, Joseph Soriaga, Daniel Madrigal Diaz, Andre Manoel, Nalin Singal, Jeff Omhover, Robert Sim:
Federated Learning Toolkit with Voice-based User Verification Demo. INTERSPEECH 2023: 5263-5264 - Erick L. Oberstar, Martin G. Wagner, Mariya Pravdivtseva, Jingfeng Jiang, Michael A. Speidel:
Dynamic 3D imaging of contrast medium flow on an interventional C-arm using a pulsed injection protocol. Medical Imaging: Image-Guided Procedures 2023 - 2022
- Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara I. Wohlmuth:
Resiliency in numerical algorithm design for extreme scale simulations. Int. J. High Perform. Comput. Appl. 36(2): 251-285 (2022) - Andreas Obersteiner, Martha W. Alibali, Vijay Marupudi:
Comparing fraction magnitudes: Adults' verbal reports reveal strategy flexibility and adaptivity, but also bias. J. Numer. Cogn. 8(3): 398-413 (2022) - Haifeng Xiao, Alexander Stark, Hao Chen, Jürgen Oberst:
Recomputation and Updating of MOLA Geolocation. Remote. Sens. 14(9): 2201 (2022) - Abdel Darwish, Benjamin J. Halkon, Sebastian Oberst:
Non-Contact Vibro-Acoustic Object Recognition Using Laser Doppler Vibrometry and Convolutional Neural Networks. Sensors 22(23): 9360 (2022) - Hao Chen, Xuanyu Hu, Philipp Gläser, Haifeng Xiao, Zhen Ye, Hanyue Zhang, Xiaohua Tong, Jürgen Oberst:
CNN-Based Large Area Pixel-Resolution Topography Retrieval From Single-View LROC NAC Images Constrained With SLDEM. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9398-9416 (2022) - 2021
- Andreas J. C. Woitzik:
Quanteninformationsverarbeitung in der gymnasialen Oberstufe. LOG IN 41(1): 39-46 (2021) - Michael Obersteiner, Hans-Joachim Bungartz:
A Generalized Spatially Adaptive Sparse Grid Combination Technique with Dimension-wise Refinement. SIAM J. Sci. Comput. 43(4): A2381-A2403 (2021) - Michael Oberst, Nikolaj Thams, Jonas Peters, David A. Sontag:
Regularizing towards Causal Invariance: Linear Models with Proxies. ICML 2021: 8260-8270 - Justin Lim, Christina X. Ji, Michael Oberst, Saul Blecker, Leora Horwitz, David A. Sontag:
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance. NeurIPS 2021: 15328-15343 - Luis Oberste, Okan Aydingül, Ekaterina Jussupow, Armin Heinzl:
When Every Minute Matters - Using Predictive Analytics of Intervention Durations to Support Hospital Scheduling. PACIS 2021: 221 - Michael Oberst, Nikolaj Thams, Jonas Peters, David A. Sontag:
Regularizing towards Causal Invariance: Linear Models with Proxies. CoRR abs/2103.02477 (2021) - Justin Lim, Christina X. Ji, Michael Oberst, Saul Blecker, Leora Horwitz, David A. Sontag:
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance. CoRR abs/2110.14508 (2021) - 2020
- Josep L. Matalí, Ania Pérez-Racana, Ursula Oberst, Maria Lleras, Paola Bertomeu, Elena Flores:
Seclusion in adolescents with IGD: New diagnostic criteria or measure of severity? Comput. Hum. Behav. 110: 106394 (2020) - Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. AISTATS 2020: 788-798
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