Majid Farhadloo

22 papers A* 1A 3B 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 B conf
Discovering Super-Colocation Patterns: A Summary of Results.
SSTD
Shuai An, Shesha Sai Kumar Reddy Sadu, Arun Sharma, Majid Farhadloo, Shashi Shekhar
2025 — conf
Geo-lucid Conditional Diffusion Models for High Physical Fidelity Trajectory Generation.
SIGSPATIAL/GIS
Mingzhou Yang, Arun Sharma, Majid Farhadloo, Bharat Jayaprakash, Shashi Shekhar
2025 J jnl
Spatial Distribution-Shift Aware Knowledge-Guided Machine Learning.
CoRR
Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Shashi Shekhar
2025 A conf
Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data.
SDM
Majid Farhadloo, Arun Sharma, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
2025 J jnl
Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data.
CoRR
Majid Farhadloo, Arun Sharma, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
2025 J jnl
Towards Physics-Guided Foundation Models.
CoRR
Majid Farhadloo, Arun Sharma, Mingzhou Yang, Bharat Jayaprakash, William F. Northrop, Shashi Shekhar
2025 J jnl
Towards Physics-informed Diffusion for Anomaly Detection in Trajectories.
CoRR
Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar
2025 — conf
Towards Physics-informed Diffusion for Anomaly Detection in Trajectories: A Summary of Results.
GeoAnomalies@SIGSPATIAL
Arun Sharma, Mingzhou Yang, Majid Farhadloo, Subhankar Ghosh, Bharat Jayaprakash, Shashi Shekhar
2025 — conf
Towards Surrogate Models with Hybrid Spatial Neural Networks: A Summary of Results.
GeoSim@SIGSPATIAL
Shengya Zhang, Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Yao Zhang, Mu Hong, Licheng Liu, David J. Mulla, Shashi Shekhar
2024 J jnl
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision.
ACM Trans. Spatial Algorithms Syst.
Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic
2024 A conf
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data.
SDM
Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
2024 J jnl
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data.
CoRR
Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar
2023 A conf
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
SDM
Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
2023 J jnl
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
CoRR
Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar
2023 J jnl
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision.
CoRR
Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic
2022 — conf
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data.
BigSpatial@SIGSPATIAL
Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao
2022 A* conf
SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data.
KDD
Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore
2022 — conf
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach.
AGILE Conf.
Arun Sharma, Majid Farhadloo, Yan Li, Jayant Gupta, Aditya Kulkarni, Shashi Shekhar
2022 J jnl
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach.
CoRR
Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar
2021 — conf
Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results.
GIScience (I)
Arun Sharma, Xun Tang, Jayant Gupta, Majid Farhadloo, Shashi Shekhar
2021 J jnl
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification.
CoRR
Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich
2020 J jnl
Grape detection with convolutional neural networks.
Expert Syst. Appl.
Hubert Cecotti, Agustin Rivera, Majid Farhadloo, Miguel A. Pedroza