| Integrating cross-scale analysis in the spatial and temporal domains for classification of behavioral movement A Soleymani, J Cachat, K Robinson, S Dodge, A Kalueff, R Weibel Journal of Spatial Information Science, 1-25, 2014 | 55 | 2014 |
| Evaluation of Genetic Algorithms for tuning SVM parameters in multi-class problems F Samadzadegan, A Soleymani, RA Abbaspour 11th International Symposium on Computational Intelligence and Informatics …, 2010 | 47 | 2010 |
| The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task–insights from the iarai traffic4cast competition at neurips 2019 DP Kreil, MK Kopp, D Jonietz, M Neun, A Gruca, P Herruzo, H Martin, ... NeurIPS 2019 competition and demonstration track, 232-241, 2020 | 32 | 2020 |
| Traffic4cast at neurips 2020-yet more on the unreasonable effectiveness of gridded geo-spatial processes M Kopp, D Kreil, M Neun, D Jonietz, H Martin, P Herruzo, A Gruca, ... NeurIPS 2020 Competition and Demonstration Track, 325-343, 2021 | 25 | 2021 |
| Characterizing change points and continuous transitions in movement behaviours using wavelet decomposition A Soleymani, F Pennekamp, S Dodge, R Weibel Methods in Ecology and Evolution 8 (9), 1113-1123, 2017 | 19 | 2017 |
| Developing and integrating advanced movement features improves automated classification of ciliate species A Soleymani, F Pennekamp, OL Petchey, R Weibel PLoS One 10 (12), e0145345, 2015 | 11 | 2015 |
| Capability of movement features extracted from GPS trajectories for the classification of fine‐grained behaviors A Soleymani, EE van Loon, W Robert AGILE Digital Editions, 2014 | 3 | 2014 |
| Method, apparatus, and system for end-to-end traffic estimation from minimally processed input data D Jonietz, M Kopp, M Neun, B Xu, A Soleymani US Patent App. 17/410,624, 2023 | 2 | 2023 |
| Method, apparatus, and system for compression of sparse data for machine learning tasks C Capota, D Jonietz, A Soleymani, B Xu, M Neun US Patent App. 17/197,974, 2022 | 2 | 2022 |
| STAMP: An Approach to ETA Prediction by Spatio-temporal Discretization and Machine Learning B Xu, D Jonietz, R Gupta, A Soleymani, K Malm, R Köhn 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 1 | 2022 |
| Cross-scale analysis in classification and segmentation of movement A Soleymani University of Zurich, 2016 | 1 | 2016 |
| Method and apparatus for machine learning-based prediction of an estimated time of arrival D Jonietz, B Xu, R Gupta, A Soleymani, RW Köhn US Patent App. 17/941,607, 2024 | | 2024 |
| Method and apparatus for spatial aggregation for location-based services R Gupta, D Jonietz, B Xu, A Soleymani, RW Köhn US Patent App. 17/941,580, 2024 | | 2024 |
| Method, apparatus, and system for linearizing a network of features for machine learning tasks B Xu, R Gupta, D Jonietz, A Soleymani US Patent App. 17/533,877, 2023 | | 2023 |
| Extraction of movement features for cross-scale behavioral classification A Soleymani, R Weibel | | 2014 |
Robert WeibelProfessor of Geographic Information Science, University of ZurichE-mail confirmado em geo.uzh.ch