2022

S. Das, S. Pratiher, C. Kyal, and P. Ghamisi (2022) Sparsity Regularized Deep Subspace Clustering for Multi-criterion-based Hyperspectral Band Selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022-05-03. (more) (download)

A. Sanchez-Fernandez, E. Rumetshofer, S. Hochreiter, and G. Klambauer (2022) Contrastive Learning of Image- and Structure-based Representations in Drug Discovery. ICLR 2022 Machine Learning for Drug Discovery Workshop Proceedings, 2022-04-29. (more) (download)

S. Venkataramanan, B. Psomas, E. Kijak, L. Amsaleg, K. Karantzalos, and Y. Avrithis (2022) It Takes Two to Tango: Mixup for Deep Metric Learning. ICLR 2022 Conference Proceedings, 2022-04-25. (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)

J. Yue, L. Fang, P. Ghamisi, W. Xie, J. Li, J. Chanussot, and A. J. Plaza (2022) Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. IEEE Geoscience and Remote Sensing Magazine, 2022-04-18. (more) (download)

D. Coquelin, B. Rasti, M. Götz, P. Ghamisi, R. Gloaguen, and A. Streit (2022) HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. arXiv:2204.06979, 2022-04-14. (more) (download)

R. Akbar, P. A. Robert, C. R. Weber, M. Widrich, R. Frank, M. Pavlović, L. Scheffer, M. Chernigovskaya, I. Snapkov, A. Slabodkin, B. B. Mehta, E. Miho, F. Lund-Johansen, J. T. Andersen, S. Hochreiter, I. H. Haff, G. Klambauer, G. K. Sandve, and V. Greiff (2022) In Silico Proof of Principle of Machine Learning-Based Antibody Design at Unconstrained Scale. mAbs, 14, 1, 2031482, 2022-04-04. (more) (download)

C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. L. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter (2022) Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. arXiv:2203.17070, 2022-04-01. (more) (download)

D. Klotz, F. Kratzert, M. Gauch, A. K. Sampson, J. Brandstetter, G. Klambauer, S. Hochreiter, and G. Nearing (2022) Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. Hydrology and Earth System Sciences, 26, 6, 1673-1693, 2022-03-31. (more) (download)

T. Roland, C. Boeck, T. Tschoellitsch, A. Maletzky, S. Hochreiter, J. Meier, and G. Klambauer (2022) Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. Journal of Medical Systems, 46, 5, 23, 2022-03-29. (more) (download)

S. Hochreiter (2022) Toward a broad AI. Communications of the ACM, 65, 4, 56-57, 2022-03-19. (more) (download)

S. Chang & P. Ghamisi (2022) Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. arXiv:2203.10030, 2022-03-18. (more) (download)

O. Ghorbanzadeh, K. Gholamnia, and P. Ghamisi (2022) The Application of ResU-Net and OBIA for Landslide Detection from Multi-Temporal Sentinel-2 Images. Big Earth Data, 2022-02-14. (more) (download)

Y. Xu & P. Ghamisi (2022) Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. arXiv:2202.07054, 2022-02-14. (more) (download)

Y. Xu & P. Ghamisi (2022) Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. arXiv:2202.03740, 2022-02-08. (more) (download)

S. T. Piralilou, G. Einali, O. Ghorbanzadeh, T. G. Nachappa, K. Gholamnia, T. Blaschke, and a. P. Ghamisi (2022) A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. Remote Sensing, 14, 3, 672, 2022-01-30. (more) (download)

Z. Li, F. Lu, H. Zhang, L. Tu, J. Li, X. Huang, C. Robinson, K. Malkin, N. Jojic, P. Ghamisi, R. Hansch, and N. Yokoya (2022) The Outcome of the 2021 IEEE GRSS Data Fusion Contest-Track MSD: Multitemporal Semantic Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022-01-24. (more) (download)

O. Ghorbanzadeh, H. Shahabi, A. Crivellari, S. Homayouni, T. Blaschke, and P. Ghamisi (2022) Landslide Detection Using Deep Learning and Object-Based Image Analysis. Landslides, 2022-01-20. (more) (download)

L. Servadei, J. H. Lee, J. A. A. Medina, M. Werner, S. Hochreiter, W. Ecker, and R. Wille (2022) Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Design & Test, 2022-01-20. (more) (download)

P. Seidl, P. Renz, N. Dyubankova, P. Neves, J. Verhoeven, J. K. Wegner, M. Segler, S. Hochreiter, and a. G. Klambauer (2022) Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. Journal of Chemical Information and Modeling, From Reaction Informatics to Chemical Space, 2022-01-15. (more) (download)

W. Song, Z. Gao, R. Dian, P. Ghamisi, Y. Zhang, and J. A. Benediktsson (2022) Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 2022-01-14. (more) (download)

C. Persello, J. D. Wegner, R. Hänsch, D. Tuia, P. Ghamisi, M. Koeva, and G. Camps-Valls (2022) Deep Learning and Earth Observation to Support the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Magazine, 2-30, 2022-01-14. (more) (download)

K. M. Trentino, K. Schwarzbauer, A. Mitterecker, A. Hofmann, A. Lloyd, M. F. Leahy, T. Tschoellitsch, C. Böck, S. Hochreiter, and J. Meier (2022) Machine Learning-Based Mortality Prediction of Patients at Risk During Hospital Admission. Journal of Patient Safety, 2022-01-12. (more) (download)

M. Lu, L. Fang, M. Li, B. Zhang, Y. Zhang, and P. Ghamisi (2022) NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2022-01-04. (more) (download)

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