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Ali Soleymani
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Journal Articles
- 2021
- [j3]Ali Soleymani, Fatemeh Arabgol:
A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques. J. Comput. Networks Commun. 2021: 4767388:1-4767388:13 (2021) - 2014
- [j2]Ali Soleymani, Jonathan Cachat, Kyle Robinson, Somayeh Dodge, Allan Kalueff, Robert Weibel:
Integrating cross-scale analysis in the spatial and temporal domains for classification of behavioral movement. J. Spatial Inf. Sci. 8(1): 1-25 (2014) - 2010
- [j1]Irina Cristea, Morteza Jafarpour, Seyed S. Mousavi, Ali Soleymani:
Enumeration of Rosenberg hypergroups. Comput. Math. Appl. 60(10): 2753-2763 (2010)
Conference and Workshop Papers
- 2022
- [c4]Ali Soleymani, Seyed Hossein Ghoreishi:
Controlling the Pandemic of COVID-19 based on Telecommunication Data. CSICC 2022: 1-7 - [c3]Bo Xu, David Jonietz, Rohit Gupta, Ali Soleymani, Kevin Malm, Reinhard Köhn:
STAMP: An Approach to ETA Prediction by Spatio-temporal Discretization and Machine Learning. ITSC 2022: 893-900 - 2020
- [c2]Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter:
Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes. NeurIPS (Competition and Demos) 2020: 325-343 - 2019
- [c1]David P. Kreil, Michael K. Kopp, David Jonietz, Moritz Neun, Aleksandra Gruca, Pedro Herruzo, Henry Martin, Ali Soleymani, Sepp Hochreiter:
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019. NeurIPS (Competition and Demos) 2019: 232-241
Coauthor Index
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