Ali Soleymani
Ali Soleymani
Lead Research Engineer, Here Technologies
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
Cross-scale analysis in classification and segmentation of movement
A Soleymani
University of Zurich, 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
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
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
Extraction of movement features for cross-scale behavioral classification
A Soleymani, R Weibel
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