Modeling Severe Traffic Accidents with Spatial and Temporal Features. - Soumya Sourav; Devashish Khulbe; Vishal Verma (ICONIP (2), 2019)

Modeling Severe Traffic Accidents With Spatial And Temporal Features. - Devashish Khulbe; Soumya Sourav (CoRR, 2019)

Modeling Food Popularity Dependencies using Social Media data. - Devashish Khulbe; Manu Pathak (CoRR, 2019)

Deep Learning Based Android Malware Detection Framework. - Soumya Sourav; Devashish Khulbe; Naman Kapoor (CoRR, 2019)

Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems. - Devashish Khulbe; Alexander Belyi; Ondrej Mikes; Stanislav Sobolevsky (ICCSA (2), 2023)

How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis. - Tadeas Dvorak; Marketa Makarova; Devashish Khulbe; Radim Lískovec; Ondrej Malina; David Górny; Pavel Morcinek; Tomas Pompa; Ondrej Mikes; Veronika Eclerová; Filip Zlamal; Stanislav Sobolevsky; et al. (SAP, 2024)

Commute Networks as a Signature of Urban Socioeconomic Performance: Evaluating Mobility Structures with Deep Learning Models. - Devashish Khulbe; Alexander Belyi; Stanislav Sobolevsky (CoRR, 2025)

Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities. - Devashish Khulbe; Stanislav Sobolevsky (CoRR, 2025)