Machine Learning

N. Alinaghi, T. CK Kwok, P. Kiefer, and I. Giannopoulos (2023) Do You Need Instructions Again? Predicting Wayfinding Instruction Demand. Leibniz International Proceedings in Informatics (LIPIcs), 12th International Conference on Geographic Information Science (GIScience), 277, 2023-09-07. (more) (download)

A. Gruca, F. Serva, L. Lliso, P. Rípodas, X. Calbet, P. Herruzo, J. Pihrt, R. Raevskyi, P. Šimánek, M. Choma, Y. Li, H. Dong, Y. Belousov, S. Polezhaev, B. Pulfer, M. Seo, D. Kim, S. Shin, E. Kim, S. Ahn, Y. Choi, J. Park, M. Son, S. Cho, I. Lee, C. Kim, T. Kim, S. Kang, H. Shin, D. Yoon, S. Eom, K. Shin, S.-Y. Yun, B. Le Saux, M. K. Kopp, S. Hochreiter, and D. P. Kreil (2023) Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. Proceedings of the NeurIPS 2022 Competitions Track, PMLR, 220, 292-313, 2023-09-04. (more) (download)

T. Tschoellitsch, P. Seidl, C. Böck, A. Maletzky, P. Moser, S. Thumfart, M. Giretzlehner, S. Hochreiter, and J. Meier (2023) Using Emergency Department Triage for Machine Learning-Based Admission and Mortality Prediction. European Journal of Emergency Medicine, 2023-08-14. (more) (download)

R. Jena, A. Shanableh, R. Al-Ruzouq, B. Pradhan, M. B. A Gibril, M. A. Khalil, O. Ghorbanzadeh, and P. Ghamisi (2023) Earthquake Spatial Probability and Hazard Estimation Using Various Explainable AI (XAI) Models at the Arabian Peninsula. Remote Sensing Applications: Society and Environment, 31, 101004, 2023-06-01. (more) (download)

R. Jena, A. Shanableh, R. Al-Ruzouq, B. Pradhan, M. B. A Gibril, M. A. Khalil, O. Ghorbanzadeh, G. P. Ganapathy, and P. Ghamisi (2023) Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula. Remote Sensing, 15, 9, 2248, 2023-04-24. (more) (download)

M. Kopp (2023) The Impact of the AI Revolution on Asset Management. arXiv:2304.10212, 2023-04-20. (more) (download)

D. Klotz, M. Gauch, G. Nearing, S. Hochreiter, and F. Kratzert (2023) The Persistence of Errors: How Evaluating Models over Data Partitions Relates to a Global Evaluation. EGU23-15221, 2023-02-22. (more) (download)

M. Gauch, F. Kratzert, O. Gilon, H. Gupta, J. Mai, G. Nearing, B. Tolson, S. Hochreiter, and D. Klotz (2023) Peeking Inside Hydrologists’ Minds: Comparing Human Judgment and Quantitative Metrics of Hydrographs. EGU23-12261, 2023-02-22. (more) (download)

S. Thiele, A. J. Afifi, S. Lorenz, R. Tolosana-Delgado, M. Kirsch, P. Ghamisi, and R. Gloaguen (2023) LithoNet: A Benchmark Dataset for Machine Learning with Digital Outcrops. EGU23-14007, 2023-02-22. (more) (download)

L. Lewis, H.-Y. Huang, V. T. Tran, S. Lehner, R. Kueng, and J. Preskill (2023) Improved Machine Learning Algorithm for Predicting Ground State Properties. arXiv:2301.13169, 2023-01-30. (more) (download)

A. R. Barzani, P. Pahlavani, and O. Ghorbanzadeh (2023) Ensembling of Decision Trees, KNN, and Logistic Regression with Soft-Voting Method for Wildfire Susceptibility Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 647–652, 2023-01-14. (more) (download)

P. A. Robert, R. Akbar, R. Frank, M. Pavlović, M. Widrich, I. Snapkov, A. Slabodkin, M. Chernigovskaya, L. Scheffer, E. Smorodina, P. Rawat, B. B. Mehta, M. Ha Vu, I. F. Mathisen, A. Prósz, K. Abram, A. Olar, E. Miho, D. T. T. Haug, F. Lund-Johansen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, and V. Greiff (2022) Unconstrained Generation of Synthetic Antibody–Antigen Structures to Guide Machine Learning Methodology for Antibody Specificity Prediction. Nature Computational Science, 2, 12, 845-865, 2022-12-19. (more) (download)

V. T. Tran, L. Lewis, H.-Y. Huang, J. Kofler, R. Kueng, S. Hochreiter, and S. Lehner (2022) Using Shadows to Learn Ground State Properties of Quantum Hamiltonians. Machine Learning and the Physical Sciences at NeurIPS 2022, 2022-12-03. (more) (download)

C. Steinparz, T. Schmied, F. Paischer, M.-C. Dinu, V. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR, 199, 441-469, 2022, 2022-11-28. (more) (download)

I. Svogor, C. Eichenberger, M. Spanring, M. Neun, and M. Kopp (2022) Profiling and Improving the PyTorch Dataloader for High-Latency Storage: A Technical Report. arXiv:2211.04908, 2022-11-09. (more) (download)

A. Maletzky, C. Böck, T. Tschoellitsch, T. Roland, H. Ludwig, S. Thumfart, M. Giretzlehner, S. Hochreiter, and J. Meier (2022) Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities. JMIR Medical Informatics, 10, 10, e38557, 2022-10-21. (more) (download)

M. Gauch, F. Kratzert, O. Gilon, H. Gupta, J. Mai, G. Nearing, B. Tolson, S. Hochreiter, and D. Klotz (2022) In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance. EarthArXiv, 2022-10-19. (more) (download)

P. M. Winter, C. Burger, S. Lehner, J. Kofler, T. I. Maindl, and C. M. Schäfer (2022) Residual Neural Networks for the Prediction of Planetary Collision Outcomes. Monthly Notices of the Royal Astronomical Society, 520, 1, 1224-1242, 2022-10-14. (more) (download)

M. Krenn, L. Buffoni, B. Coutinho, S. Eppel, J. G. Foster, A. Gritsevskiy, H. Lee, Y. Lu, J. P. Moutinho, N. Sanjabi, R. Sonthalia, N. M. Tran, F. Valente, Y. Xie, R. Yu, and M. Kopp (2022) Predicting the Future of AI with AI: High-Quality Link Prediction in an Exponentially Growing Knowledge Network. arXiv:2210.00881, 2022-09-23. (more) (download)

M. Schmitt, P. Ghamisi, N. Yokoya, and R. Hänsch (2022) EOD: The IEEE GRSS Earth Observation Database. International Geoscience and Remote Sensing Symposium (IGARSS), 5365-5368, 2022-07-17. (more) (download)

B. Schäfl, L. Gruber, A. Bitto-Nemling, and S. Hochreiter (2022) Hopular: Modern Hopfield Networks for Tabular Data. arXiv:2206.00664, 2022-06-01. (more) (download)

D. Klotz, M. Gauch, G. Nearing, S. Hochreiter, and F. Kratzert (2022) Deficiencies in Hydrological Modelling Practices. EGU22-12403, 2022-05-23. (more) (download)

B. Aslam, A. Maqsoom, U. Khalil, O. Ghorbanzadeh, T. Blaschke, D. Farooq, R. F. Tufail, S. A. Suhail, and P. Ghamisi (2022) Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. Sensors, 22, 9, 3107, 2022-04-19. (more) (download)

A. Arabameri, A. S. Danesh, M. Santosh, A. Cerda, S. C. Pal, O. Ghorbanzadeh, P. Roy, and I. Chowdhuri (2022) Flood Susceptibility Mapping Using Meta-heuristic Algorithms. Geomatics, Natural Hazards and Risk, 13, 1, 949-974, 2022-04-11. (more) (download)