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Majid Farhadloo
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2020 – today
- 2024
- [c5]Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar:
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. SDM 2024: 616-624 - [i5]Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar:
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. CoRR abs/2402.14974 (2024) - 2023
- [c4]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM 2023: 838-846 - [i4]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. CoRR abs/2301.05739 (2023) - [i3]Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic:
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision. CoRR abs/2305.09675 (2023) - 2022
- [c3]Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao:
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL 2022: 36-46 - [c2]Majid Farhadloo, Carl Molnar, Gaoxiang Luo
, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore:
SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. KDD 2022: 2860-2870 - [i2]Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar:
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. CoRR abs/2201.06955 (2022) - 2021
- [c1]Arun Sharma, Xun Tang, Jayant Gupta, Majid Farhadloo, Shashi Shekhar:
Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results. GIScience (I) 2021: 13:1-13:16 - [i1]Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich:
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. CoRR abs/2112.12219 (2021) - 2020
- [j1]Hubert Cecotti
, Agustin Rivera, Majid Farhadloo, Miguel A. Pedroza
:
Grape detection with convolutional neural networks. Expert Syst. Appl. 159: 113588 (2020)
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