Publications

2022

K. R. Shahi, P. Ghamisi, B. Rasti, R. Gloaguen, and P. Scheunders (2022) MS2A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6518-6530, 2022-08-11. (more) (download)

Y. Xu, W. Yu, P. Ghamisi, M. Kopp, and S. Hochreiter (2022) Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. arXiv:2208.04441, 2022-08-08. (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. NeurIPS 2021 Competitions and Demonstrations Track, PMLR, 176, 97-112, 2022-07-20. (more) (download)

W. Wang, Y. Chen, and P. Ghamisi (2022) Transferring CNN with Adaptive Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-07-14. (more) (download)

L. Zhang, Y. Qian, J. Han, P. Duan, and P. Ghamisi (2022) Mixed Noise Removal for Hyperspectral Image with l0-l1-2SSTV Regularization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-18, 2022-06-23. (more) (download)

M. Mc Cutchan & I. Giannopoulos (2022) Encoding Geospatial Vector Data for Deep Learning: LULC as a Use Case. Remote Sensing, 14, 12, 2812, 2022-06-11. (more) (download)

N. Wiedemann, H. Martin, and M. Raubal (2022) Unlocking Social Network Analysis Methods for Studying Human Mobility. AGILE: GIScience Series, 3, 1-12, 2022-06-10. (more) (download)

H. Cai, Y. Xin, H. Martin, and M. Raubal (2022) Optimizing Electric Vehicle Charging Schedules Based on Probabilistic Forecast of Individual Mobility. AGILE: GIScience Series, 3, 1-13, 2022-06-10. (more) (download)

H. Martin, Y. Hong, N. Wiedemann, D. Bucher, and M. Raubal (2022) Trackintel: An Open-source Python Library for Human Mobility Analysis. arXiv:2206.03593, 2022-06-07. (more) (download)

O. Ghorbanzadeh, Y. Xu, P. Ghamisi, M. Kopp, and D. Kreil (2022) Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. arXiv:2206.00515, 2022-06-01. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Y. Ding, X. Liu, Z. Cai, and R. Gloaguen (2022) Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 2022-06-01. (more) (download)

H. Li, J. Zech, D. Hong, P. Ghamisi, M. Schultz, and A. Zipf (2022) Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation, 110, 102804, 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)

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)

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)

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)

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)

H. Martin, R. Buffat, D. Bucher, J. Hamper, and M. Raubal (2022) Using Rooftop Photovoltaic Generation to Cover Individual Electric Vehicle Demand – A Detailed Case Study. Renewable and Sustainable Energy Reviews, 157, 111969, 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. 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)

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, 19, 4, 929, 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, 62, 9, 2111, 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, 60, 5617514, 1, 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, 60, 1-14, 2022-01-04. (more) (download)

M. Avand, A. Kuriqi, M. Khazaei, and O. Ghorbanzadeh (2022) DEM Resolution Effects on Machine Learning Performance for Flood Probability Mapping. Journal of Hydro-environment Research, 40, 1-16, 2022-01-01. (more) (download)

D. J. Reck, H. Martin, and K. W. Axhausen (2022) Mode Choice, Substitution Patterns and Environmental Impacts of Shared and Personal Micro-Mobility. Transportation Research Part D: Transport and Environment, 102, 103134, 2022-01-01. (more) (download)

2021

P. Herruzo, A. Gruca, L. Lliso, X. Calbet, P. Rípodas, S. Hochreiter, M. Kopp, and D. P. Kreil (2021) High-Resolution Multi-Channel Weather Forecasting – First Insights on Transfer Learning from the Weather4cast Competitions 2021. 2021 IEEE International Conference on Big Data (Big Data), 5750-5757, 2021-12-15. (more) (download)

K. Rafiezadehshahi, P. Ghamisi, B. Rasti, P. Scheunders, and R. Gloaguen (2021) Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-12-06. (more) (download)

B. Rasti, P. Ghamisi, and R. Gloaguen (2021) OptFus: Optical Sensor Fusion For The Classification of Multi-source Data: Application to Mineralogical Mapping. IEEE Geoscience and Remote Sensing Letters, 2021-12-03. (more) (download)

T. Adler, M. Erhard, M. Krenn, J. Brandstetter, J. Kofler, and S. Hochreiter (2021) Quantum Optical Experiments Modeled by Long Short-Term Memory. Photonics, 8, 12, 535, 2021-11-26. (more) (download)

Y. Ma, Y. Li, K. Feng, Y. Xia, Q. Huang, H. Zhang, C. Prieur, G. Licciardi, H. Malha, J. Chanussot, P. Ghamisi, R. Hansch, and N. Yokoya (2021) The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track DSE: Detection of Settlements Without Electricity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12375, 2021-11-24. (more) (download)

H. Shahabi, M. Rahimzad, S. T. Piralilou, O. Ghorbanzadeh, S. Homayouni, T. Blaschke, S. Lim, and a. P. Ghamisi (2021) Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. Remote Sensing, 13, 22, 4698, 2021-11-20. (more) (download)

Y. Cai, Z. Zhang, Y. Liu, P. Ghamisi, K. Li, X. Liu, and Z. Cai (2021) Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. arXiv:2111.07945, 2021-11-15. (more) (download)

H. Ebrahimy, A. Naboureh, B. Feizizadeh, J. Aryal, and a. O. Ghorbanzadeh (2021) Integration of Sentinel-1 and Sentinel-2 Data with the G-SMOTE Technique for Boosting Land Cover Classification Accuracy. Applied Sciences, 11, 21, 10309, 2021-11-03. (more) (download)

M. Mc Cutchan & I. Giannopoulos (2021) Towards Geographic Aware Neural Networks for Geospatial Vector Data: A Case Study on Land Use and Land Cover Classification. CEUR Workshop Proceedings, CIKM 2021, 3052, 2021-11-01. (more) (download)

A. Gruca, P. Herruzo, P. Rípodas, A. Kucik, C. Briese, M. K. Kopp, S. Hochreiter, P. Ghamisi, and D. P. Kreil (2021) CDCEO’21 – First Workshop on Complex Data Challenges in Earth Observation. Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 4878–4879, 2021-10-26. (more) (download)

M. Schmitt, C. Persello, G. Vivone, D. Lunga, W. Liao, N. Yokoya, P. Ghamisi, and R. Hänsch (2021) The New Working Groups of the GRSS Technical Committee on Image Analysis and Data Fusion. IEEE Geoscience and Remote Sensing Magazine, 9, 3, 165-166, 2021-09-29. (more) (download)

Q. Li, Y. Chen, and P. Ghamisi (2021) Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. IEEE Geoscience and Remote Sensing Letters, 2021-09-29. (more) (download)

Y. Hong, Y. Xin, H. Martin, D. Bucher, and M. Raubal (2021) A Clustering-Based Framework for Individual Travel Behaviour Change Detection. Leibniz International Proceedings in Informatics (LIPIcs), 11th International Conference on Geographic Information Science (GIScience) – Part 2, 4, 1-15, 2021-09-14. (more) (download)

N. Alinaghi, M. Kattenbeck, A. Golab, and I. Giannopoulos (2021) Will You Take this Turn? Gaze-Based Turning Activity Recognition During Navigation. Leibniz International Proceedings in Informatics (LIPIcs), 11th International Conference on Geographic Information Science (GIScience) - Part 2, 5, 1-16, 2021-09-14. (more) (download)

D. Flam-Shepherd, T. Wu, X. Gu, A. Cervera-Lierta, M. Krenn, and A. Aspuru-Guzik (2021) Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models. arXiv:2109.02490, 2021-09-06. (more) (download)

P. Ghamisi, K. R. Shahi, P. Duan, B. Rasti, S. Lorenz, R. Booysen, S. Thiele, I. C. C. Acosta, M. Kirsch, and R. Gloaguen (2021) The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-09-01. (more) (download)

M. Krenn, J. Kottmann, N. Tischler, and A. Aspuru-Guzik (2021) Conceptual Understanding through Efficient Automated Design of Quantum Optical Experiments. Physical Review X, 11, 3, 031044, 2021-08-26. (more) (download)

Y. Han, M. Yin, P. Duan, and P. Ghamisi (2021) Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, in press. 2021-08-17. (more) (download)

M. Kopp, D. Kreil, M. Neun, D. Jonietz, H. Martin, P. Herruzo, A. Gruca, A. Soleymani, F. Wu, Y. Liu, J. Xu, J. Zhang, J. Santokhi, A. Bojesomo, H. Al Marzouqi, P. Liatsis, P. H. Kwok, Q. Qi, and S. Hochreiter (2021) Traffic4cast at NeurIPS 2020 – Yet More on the Unreasonable Effectiveness of Gridded Geo-Spatial Processes. Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR, 133, 325-343, 2021. (more) (download)

M. Mc Cutchan, A. J. Comber, I. Giannopoulos, and a. M. Canestrini (2021) Semantic Boosting: Enhancing Deep Learning Based LULC Classification. Remote Sensing, 13, 16, 3197, 2021-08-12. (more) (download)

J. Yue, D. Zhu, L. Fang, P. Ghamisi, and Y. Wang (2021) Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification with Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2021-07-20. (more) (download)

O. Ghorbanzadeh, A. Crivellari, P. Ghamisi, H. Shahabi, and T. Blaschke (2021) A Comprehensive Transferability Evaluation of U-Net and ResU-Net for Landslide Detection from Sentinel-2 Data. Scientific Reports, 11, 14629, 2021-07-16. (more) (download)

C. Shen, M. Krenn, S. Eppel, and A. Aspuru-Guzik (2021) Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations. Machine Learning: Science and Technology, 2, 3, 03LT02, 2021-07-13. (more) (download)

K. R. Shahi, B. Rasti, P. Ghamisi, P. Scheunders, and R. Gloaguen (2021) When is the Right Time to Apply Denoising?. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2464-2467, 2021-07-11. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) Spectral Unmixing Using Deep Convolutional Encoder-Decoder. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3829-3832, 2021-07-11. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, P. Ghamisi, and R. Gloaguen (2021) Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3821-3824, 2021-07-11. (more) (download)

P. A. Robert, R. Akbar, R. Frank, M. Pavlović, M. Widrich, I. Snapkov, M. Chernigovskaya, L. Scheffer, A. Slabodkin, B. B. Mehta, M. Ha Vu, 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 (2021) One Billion Synthetic 3D-Antibody-Antigen Complexes Enable Unconstrained Machine-Learning Formalized Investigation of Antibody Specificity Prediction. bioRxiv, doi:10.1101/2021.07.06.451258, 2021-07-11. (more) (download)

B. Rasti, Y. Chang, E. Dalsasso, L. Denis, and P. Ghamisi (2021) Image Restoration for Remote Sensing: Overview and Toolbox. arXiv:2107.00557, 2021-07-01. (more) (download)

H. Xie, Y. Chen, and a. P. Ghamisi (2021) Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. Remote Sensing, 13, 2566, 2021-06-30. (more) (download)

H. Martin, D. J. Reck, and M. Raubal (2021) Using Information and Communication Technologies to Facilitate Mobility Behaviour Change and Enable Mobility as a Service. Journal for Geographic Information Science, GI_Forum, 9, 1, 2021-06-29. (more) (download)

A. Mayr, S. Lehner, A. Mayrhofer, C. Kloss, S. Hochreiter, and J. Brandstetter (2021) Boundary Graph Neural Networks for 3D Simulations. arXiv:2106.11299, 2021-06-21. (more) (download)

S. Mohammed, K. Tai-hoon, P. Ghamisi, and R.-S. Chang (2021) A Special Issue on Recent Progress in Developing Artificial Intelligence and Machine Learning Methodologies. IEEE Geoscience and Remote Sensing Magazine, 9, 2, 7-128, 2021-06-15. (more) (download)

X. Liu, D. Hong, J. Chanussot, B. Zhao, and P. Ghamisi (2021) Modality Translation in Remote Sensing Time Series. IEEE Transactions on Geoscience and Remote Sensing, 2021-05-21. (more) (download)

F. Kratzert, D. Klotz, S. Hochreiter, and G. Nearing (2021) A Note on Leveraging Synergy in Multiple Meteorological Datasets with Deep Learning for Rainfall-Runoff Modeling. Hydrology and Earth System Sciences, 25, 5, 2685-2703, 2021-05-20. (more) (download)

F. Kratzert, M. Gauch, G. Nearing, S. Hochreiter, and D. Klotz (2021) Rainfall-Runoff Modeling with Long Short-Term Memory Networks (LSTM)—an Overview. Österreichische Wasser-und Abfallwirtschaft, 2021-05-17. (more) (download)

A. Mayr, S. Lehner, A. Mayrhofer, C. Kloss, S. Hochreiter, and J. Brandstetter (2021) Learning 3D Granular Flow Simulations. arXiv: 2105.01636, 2021-05-04. (more) (download)

M. Gauch, F. Kratzert, D. Klotz, G. Nearing, J. Lin, and S. Hochreiter (2021) Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network. Hydrology and Earth System Sciences, 25, 4, 2045-2062, 2021-04-19. (more) (download)

A. Vall, Y. Sabnis, J. Shi, R. Class, S. Hochreiter, and G. Klambauer (2021) The Promise of AI for DILI Prediction. Frontiers in Artificial Intelligence, 4, 638410, 2021-04-14. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-31. (more) (download)

M. Pavlovic, L. Scheffer, K. Motwani, C. Kanduri, R. Kompova, N. Vazov, K. Waagan, F. LM Bernal, A. A. Costa, B. Corrie, R. Akbar, G. S. Al Hajj, G. Balaban, T. M. Brusko, M. Chernigovskaya, S. Christley, L. G. Cowell, R. Frank, I. Grytten, S. Gundersen, I. H. Haff, S. Hochreiter, E. Hovig, P.-H. Hsieh, G. Klambauer, M. L. Kuijjer, C. Lund-Andersen, A. Martini, T. Minotto, J. Pensar, K. Rand, E. Riccardi, P. A. Robert, A. Rocha, A. Slabodkin, I. Snapkov, L. M. Sollid, D. Titov, C. R. Weber, M. Widrich, G. Yaari, V. Greiff, and G. K. Sandve (2021) immuneML: an Ecosystem for Machine Learning Analysis of Adaptive Immune Receptor Repertoires. bioRxiv, 2021-03-15. (more) (download)

X. He, Y. Chen, and P. Ghamisi (2021) Dual Graph Convolutional Network for Hyperspectral Image Classification with Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-08. (more) (download)

N. Yokoya, P. Ghamisi, R. Hansch, C. Prieur, H. Malha, J. Chanussot, C. Robinson, K. Malkin, and N. Jojic (2021) 2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good. IEEE Geoscience and Remote Sensing Magazine, 9, 1, 287-C3, 2021-03-05. (more) (download)

C. Robinson, K. Malkin, N. Jojic, H. Chen, R. Qin, C. Xiao, M. Schmitt, P. Ghamisi, R. Hansch, and N. Yokoya (2021) Global Land Cover Mapping with Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-03-04. (more) (download)

F. Kratzert, D. Klotz, M. Gauch, C. Klingler, G. Nearing, and S. Hochreiter (2021) Large-Scale River Network Modeling Using Graph Neural Networks. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13375, 2021-03-03. (more) (download)

D. Klotz, F. Kratzert, M. Gauch, A. K. Sampson, G. Klambauer, J. Brandstetter, S. Hochreiter, and G. Nearing (2021) Uncertainty Estimation with LSTM Based Rainfall-Runoff Models. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13308, 2021-03-03. (more) (download)

M. Gauch, F. Kratzert, G. Nearing, J. Lin, S. Hochreiter, J. Brandstetter, and D. Klotz (2021) Multi-Timescale LSTM for Rainfall–Runoff Forecasting. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9714, 2021-03-03. (more) (download)

J. Yue, L. Fang, H. Rahmani, and P. Ghamisi (2021) Self-Supervised Learning with Adaptive Distillation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 1-13, 2021-02-22. (more) (download)

2020

M. Gauch, D. Klotz, F. Kratzert, G. Nearing, S. Hochreiter, and a. J. Lin (2020) A Machine Learner’s Guide to Streamflow Prediction. NeurIPS Workshop: AI for Earth Sciences, 2020-12-12. (more) (download)

S. Kimeswenger, P. Tschandl, P. Noack, M. Hofmarcher, E. Rumetshofer, H. Kindermann, R. Silye, S. Hochreiter, M. Kaltenbrunner, E. Guenova, G. Klambauer, and W. Hoetzenecker (2020) Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns. Modern Pathology, 34, 5, 895–903, 2020-11-13. (more) (download)

M. Reitner, P. Chalupa, L. D. Re, D. Springer, S. Ciuchi, G. Sangiovanni, and A. Toschi (2020) Attractive Effect of a Strong Electronic Repulsion: the Physics of Vertex Divergences. Physical Review Letters, 125, 19, 196403, 2020-11-05. (more) (download)

P. Renz, D. Van Rompaey, J. K. Wegner, S. Hochreiter, and G. Klambauer (2020) On failure modes in molecule generation and optimization. Drug Discovery Today: Technologies, 32, 55-63, 2020-10-24. (more) (download)

D. Springer, B. Kim, P. Liu, S. Khmelevskyi, S. Adler, M. Capone, G. Sangiovanni, C. Franchini, and a. A. Toschi (2020) Osmates on the Verge of a Hund’s-Mott Transition: The Different Fates of NaOsO3 and LiOsO3. Physical Review Letters, 125, 16, 166402, 2020-10-16. (more) (download)

D. P. Kreil, M. K. Kopp, D. Jonietz, M. Neun, A. Gruca, P. Herruzo, H. Martin, A. Soleymani, and S. Hochreiter (2020) The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task – Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR, 123, 232-241, 2020-08-19. (more) (download)

P. Herruzo & J. L. Larriba-Pey (2020) Recurrent Autoencoder with Skip Connections and Exogenous Variables for Traffic Forecasting. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 47-55, 2020-08-19. (more) (download)

H. Martin, D. Bucher, Y. Hong, R. Buffat, C. Rupprecht, and M. Raubal (2020) Graph-ResNets for short-term traffic forecasts in almost unknown cities. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 153-163, 2020-08-19. (more) (download)

M. Widrich, B. Schäfl, H. Ramsauer, M. Pavlović, L. Gruber, M. Holzleitner, J. Brandstetter, G. K. Sandve, V. Greiff, S. Hochreiter, and G. Klambauer (2020) Modern Hopfield Networks and Attention for Immune Repertoire Classification. arXiv:2007.13505, 2020-07-16. (more) (download)

M. Mc Cutchan, S. Özdal‐Oktay, and I. Giannopoulos (2020) Semantic‐based urban growth prediction. Transactions in GIS. 00: 1– 22. 2020-07-14. (more) (download)

A. Mitterecker, A. Hofmann, K. M. Trentino, A. Lloyd, M. F. Leahy, K. Schwarzbauer, T. Tschoellitsch, C. Böck, S. Hochreiter, and J. Meier (2020) Machine learning–based prediction of transfusion. Transfusion, 60, 1977–1986, 2020-06-28. (more) (download)

N. Sturm, A. Mayr, T. Le Van, V. Chupakhin, H. Ceulemans, J. Wegner, J.-F. Golib-Dzib, N. Jeliazkova, Y. Vandriessche, S. Böhm, V. Cima, J. Martinovic, N. Greene, T. V. Aa, T. J. Ashby, S. Hochreiter, O. Engkvist, G. Klambauer, and H. Chen (2020) Industry-scale application and evaluation of deep learning for drug target prediction. Journal of Cheminformatics, 12, 1-13, 2020-04-19. (more) (download)

M. Hofmarcher, A. Mayr, E. Rumetshofer, P. Ruch, P. Renz, J. Schimunek, P. Seidl, A. Vall, M. Widrich, S. Hochreiter, and G. Klambauer (2020) Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks. SSRN 3561442, 2020-03-23. (more) (download)

A. Mayr, G. Klambauer, T. Unterthiner, and S. Hochreiter (2020) The LSC Benchmark Dataset: Technical Appendix and Partial Reanalysis. 2020-02-12. (more) (download)

2019

F. Kratzert, D. Klotz, M. Herrnegger, A. K. Sampson, S. Hochreiter, and G. S. Nearing (2019) Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning. Water Resources Research. 55, 12, 11344-11354. 2019-12-23. (more) (download)

F. Kratzert, D. Klotz, G. Shalev, G. Klambauer, S. Hochreiter, and G. Nearing (2019) Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets. Hydrology and Earth System Sciences, 23, 12, 5089–5110, 2019-12-17. (more) (download)

F. Kratzert, D. Klotz, G. Klambauer, S. Hochreiter, and G. S. Nearing (2019) Large-Scale Rainfall-Runoff Modeling using the Long Short-Term Memory Network. American Geophysical Union, AGU Fall Meeting 2019, San Francisco, 9-13 Dec. (more) (download)

F. Kratzert, D. Klotz, J. Brandstetter, P.-J. Hoedt, G. Nearing, and S. Hochreiter (2019) Using LSTMs for climate change assessment studies on droughts and floods. arXiv, 1911.03941v2, Machine Learning (cs.LG), 2019-11-28. (more) (download)

S. Kimeswenger, E. Rumetshofer, M. Hofmarcher, P. Tschandl, H. Kittler, S. Hochreiter, W. Hötzenecker, and G. Klambauer (2019) Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. ML4H: Machine Learning for Health workshop at NeurIPS 2019, Vancouver, 10-12 Dec 2019, or preprint at arXiv, 1911.06616v3, Image and Video Processing (eess.IV), 2019-12-02. (more) (download)

T. Adler, M. Erhard, M. Krenn, J. Brandstetter, J. Kofler, and S. Hochreiter (2019) LSTM-Designed Quantum Experiments. Machine Learning and the Physical Sciences Workshop at NeurIPS 2019, Vancouver, 10-12 Dec 2019. (more) (download)

J. Lehner, A. Mitterecker, T. Adler, M. Hofmarcher, B. Nessler, and S. Hochreiter (2019) Patch Refinement – Localized 3D Object Detection. Machine Learning for Autonomous Driving Workshop at NeurIPS 2019, Vancouver, 10-12 Dec 2019, or preprint arXiv, 1910.04093v1, Computer Vision and Pattern Recognition (cs.CV), 2019-10-09. (more) (download)

M. Hofmarcher, T. Unterthiner, J. Arjona-Medina, G. Klambauer, S. Hochreiter, and B. Nessler (2019) Visual scene understanding for autonomous driving using semantic segmentation. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 285, 2019-09-10. (more) (download)

K. Preuer, G. Klambauer, F. Rippmann, S. Hochreiter, and T. Unterthiner (2019) Interpretable Deep Learning in Drug Discovery. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 331, 2019-09-10; preprint at arXiv, 1903.02788v2. (more) (download)

F. Kratzert, M. Herrnegger, D. Klotz, S. Hochreiter, and G. Klambauer (2019) NeuralHydrology – Interpreting LSTMs in Hydrology. in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer, 347, 2019-09-10; preprint at arXiv:1903.07903v2. (more) (download)

F. Kratzert, D. Klotz, A. K. Sampson, S. Hochreiter, and G. Nearing (2019) Prediction in Ungauged Basins with Long Short-term Memory Networks. EarthArXiv. doi:10.31223/osf.io/4rysp, 2019-08-26. (more) (download)

M. P. Menden, D. Wang, M. J. Mason, B. Szalai, K. C. Bulusu, Y. Guan, T. Yu, J. Kang, M. Jeon, R. Wolfinger, T. Nguyen, M. Zaslavskiy, A.-S. D. C. D. Consortium, I. S. Jang, Z. Ghazoui, M. E. Ahsen, R. Vogel, E. C. Neto, T. Norman, E. K. Y. Tang, M. J. Garnett, G. Y. Di Veroli, S. Fawell, G. Stolovitzky, J. Guinney, J. R. Dry, and J. Saez-Rodriguez (2019) Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications, 10, 2674, 2019-06-17. (more) (download)

F. Kratzert, D. Klotz, M. Herrnegger, S. Hochreiter, and G. Klambauer (2019) Using large data sets towards generating a catchment aware hydrological model for global applications. Geophysical Research Abstracts, Vol. 21, EGU2019-13795. EGU General Assembly 2019. (more) (download)

D. Klotz, F. Kratzert, M. Herrnegger, S. Hochreiter, and G. Klambauer (2019) Towards the quantification of uncertainty for deep learning based rainfall-runoff models. Geophysical Research Abstracts, Vol. 21, EGU2019-10708-2. EGU General Assembly 2019. (more) (download)

G. Klambauer, S. Hochreiter, and M. Rarey (2019) Machine Learning in Drug Discovery. Journal of Chemical Information and Modeling , 59, 3, 945, 2019-03-25. (more) (download)

M. Hofmarcher, E. Rumetshofer, D.-A. Clevert, S. Hochreiter, and G. Klambauer (2019) Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks. Journal of Chemical Information and Modeling, 59, 3, 1163, 2019-03-06. (more) (download)

E. Rumetshofer, M. Hofmarcher, C. Röhrl, S. Hochreiter, and G. Klambauer (2019) Human-level Protein Localization with Convolutional Neural Networks. International Conference on Learning Representations, ICLR 2019, New Orleans, 6-9 May. (more) (download)

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