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Devashish Khulbe
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2020 – today
- 2026
[i6]Daniel Bretsko, Piotr Walas, Devashish Khulbe, Sebastian Stros, Stanislav Sobolevsky, Tomas Satura:
FastODT: A tree-based framework for efficient continual learning. CoRR abs/2603.13276 (2026)- 2025
[i5]Devashish Khulbe, Alexander Belyi, Stanislav Sobolevsky:
Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models. CoRR abs/2507.04027 (2025)
[i4]Devashish Khulbe, Stanislav Sobolevsky:
Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities. CoRR abs/2507.11057 (2025)- 2024
[c3]Tadeas Dvorak, Marketa Makarova, Devashish Khulbe, Radim Lískovec
, Ondrej Malina, David Górny, Pavel Morcinek, Tomas Pompa
, Ondrej Mikes, Veronika Eclerová, Filip Zlamal, Stanislav Sobolevsky, Ondrej Mulicek, Julie Bienertova-Vasku:
How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis. SAP 2024: 20:1-20:3- 2023
[c2]Devashish Khulbe
, Alexander Belyi
, Ondrej Mikes
, Stanislav Sobolevsky
:
Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems. ICCSA (2) 2023: 453-461
2010 – 2019
- 2019
[c1]Soumya Sourav, Devashish Khulbe, Vishal Verma:
Modeling Severe Traffic Accidents with Spatial and Temporal Features. ICONIP (2) 2019: 528-535
[i3]Devashish Khulbe, Soumya Sourav:
Modeling Severe Traffic Accidents With Spatial And Temporal Features. CoRR abs/1906.10317 (2019)
[i2]Devashish Khulbe, Manu Pathak:
Modeling Food Popularity Dependencies using Social Media data. CoRR abs/1906.12331 (2019)
[i1]Soumya Sourav, Devashish Khulbe, Naman Kapoor:
Deep Learning Based Android Malware Detection Framework. CoRR abs/1912.12122 (2019)
Coauthor Index

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