Devashish Khulbe
Devashish Khulbe
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Deep learning based android malware detection framework
S Sourav, D Khulbe, N Kapoor
arXiv preprint arXiv:1912.12122, 2019
Modeling severe traffic accidents with spatial and temporal features
D Khulbe, S Sourav
arXiv preprint arXiv:1906.10317, 2019
Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems
D Khulbe, A Belyi, O Mikeš, S Sobolevsky
International Conference on Computational Science and Its Applications, 453-461, 2023
Detecting a citizens' activity profile of an urban territory through natural language processing of social media data
O Tikhonova, A Antonov, Y Bogomolov, D Khulbe, SL Sobolevsky
Procedia Computer Science 212, 11-22, 2022
Impact of income on urban commute across major cities in US
Y Bogomolov, M He, D Khulbe, S Sobolevsky
Procedia Computer Science 193, 325-332, 2021
Transportation interventions reshaping nyc commute: the probabilistic simulation framework assessing the impacts of ridesharing and manhattan congestion surcharge
D Khulbe, C Kang, S Sobolevsky
arXiv preprint arXiv:2010.06588, 2020
Modeling Food Popularity Dependencies Using Social Media Data
D Khulbe, M Pathak
arXiv preprint arXiv:1906.12331, 2019
Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model
M He, Y Bogomolov, D Khulbe, S Sobolevsky
Journal of Transport Geography 113, 103732, 2023
A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City
D Khulbe, C Kang, S Ukkusuri, S Sobolevsky
Data Science for Transportation 5 (2), 8, 2023
New York City's Travel Information Dataset (Project: Assessing the Mode-shift in NYC Resulting from Shared FHV)[supporting dataset]
C Kang, S Sobolevsky, D Khulbe
Modeling Severe Traffic Accidents with Spatial and Temporal Features
S Sourav, D Khulbe, V Verma
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
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