| Grape detection with convolutional neural networks H Cecotti, A Rivera, M Farhadloo, MA Pedroza Expert Systems with Applications 159, 113588, 2020 | 77 | 2020 |
| An Introduction to Spatial Data Mining S Golmohammadi, J., Xie, Y., Gupta, J., Farhadloo, M., Li, Y., Cai, Y ... The Geographic Information Science & Technology Body of Knowledge, 2020 | 11* | 2020 |
| Understanding covid-19 effects on mobility: A community-engaged approach A Sharma, M Farhadloo, Y Li, J Gupta, A Kulkarni, S Shekhar AGILE: GIScience Series 3, 14, 2022 | 9 | 2022 |
| SRNet: A spatial-relationship aware point-set classification method for multiplexed pathology images. Y Li, M Farhadloo, S Krishnan, TL Frankel, S Shekhar, A Rao In Proceedings of DeepSpatial’21: 2nd ACM SIGKDD Workshop on Deep Learning …, 2021 | 9 | 2021 |
| SAMCNet: towards a spatially explainable AI approach for classifying MxIF oncology data M Farhadloo, C Molnar, G Luo, Y Li, S Shekhar, RL Maus, S Markovic, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 7 | 2022 |
| Analyzing trajectory gaps for possible rendezvous: A summary of results A Sharma, X Tang, J Gupta, M Farhadloo, S Shekhar 11th International Conference on Geographic Information Science (GIScience …, 2020 | 7 | 2020 |
| CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data Y Li*, M Farhadloo* (*equal contribution), S Krishnan, TL Frankel, ... Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics …, 2022 | 5 | 2022 |
| Eco-pinn: A physics-informed neural network for eco-toll estimation Y Li, M Yang, M Eagon, M Farhadloo, Y Xie, WF Northrop, S Shekhar Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 3 | 2023 |
| NTEP‐DB 1.0: A relational database for the national turfgrass evaluation program Y Xie, M Farhadloo, N Guo, S Shekhar, E Watkins, L Kne, H Bao, ... International Turfgrass Society Research Journal 14 (1), 316-332, 2022 | 3 | 2022 |
| Spatial computing opportunities in biomedical decision support: The atlas-ehr vision M Farhadloo, A Sharma, S Shekhar, SN Markovic arXiv preprint arXiv:2305.09675, 2023 | 2 | 2023 |
| Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data M Farhadloo, A Sharma, J Gupta, A Leontovich, SN Markovic, S Shekhar Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024 | | 2024 |
| SAMCNet for Spatial-configuration-based Classification: A Summary of Results M Farhadloo, C Molnar, G Luo, Y Li, S Shekhar, RL Maus, SN Markovic, ... arXiv preprint arXiv:2112.12219, 2021 | | 2021 |
| Reducing winter damage in lawns: how can GeoAI help? M Farhadloo, S Shekhar | | |
Shashi ShekharMcKnight Distinguished University Professor of Computer Science, University of MinnesotaVerified email at umn.edu
