| Multimodal deep learning based crop classification using multispectral and multitemporal satellite imagery KK Gadiraju, B Ramachandra, Z Chen, RR Vatsavai Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 52 | 2020 |
| Machine learning approaches for slum detection using very high resolution satellite images KK Gadiraju, RR Vatsavai, N Kaza, E Wibbels, A Krishna 2018 IEEE International Conference on data Mining Workshops (ICDMW), 1397-1404, 2018 | 19 | 2018 |
| Comparative analysis of deep transfer learning performance on crop classification KK Gadiraju, RR Vatsavai Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics …, 2020 | 14 | 2020 |
| Benchmarking performance for migrating a relational application to a parallel implementation KK Gadiraju, M Verma, KC Davis, PG Talaga Future Generation Computer Systems 63, 148-156, 2016 | 12 | 2016 |
| A Review of Satellite Remote Sensing Techniques of River Delta Morphology Change D Munasinghe, S Cohen, K Gadiraju Remote Sensing in Earth Systems Sciences 4 (1), 44-75, 2021 | 11 | 2021 |
| Remote Sensing Based Crop Type Classification Via Deep Transfer Learning KK Gadiraju, RR Vatsavai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 6 | 2023 |
| Application of Transfer Learning in Remote Sensing Crop Image Classification KK Gadiraju, RR Vatsavai IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 2 | 2023 |
| Classification performance evaluation of deep learning architectures for complex object based facility recognition KK Gadiraju, B Ramachandra, RR Vatsavai IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |
| Detecting extreme events in gridded climate data B Ramachandra, KK Gadiraju, RR Vatsavai, DP Kaiser, TP Karnowski Procedia Computer Science 80, 2397-2401, 2016 | 2 | 2016 |
| Real-Time Change Detection At the Edge KK Gadiraju, Z Chen, B Ramachandra, RR Vatsavai 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes KK Gadiraju, B Ramachandra, A Shashidharan, B Dutton, RR Vatsavai 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 1 | 2019 |
| The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022) A Shashidharan, KK Gadiraju, RR Vatsavai, V Chandola SIGSPATIAL Special 14 (1), 43-44, 2023 | | 2023 |
| Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data A Shashidharan, KK Gadiraju, V Chandola, RR Vatsavai ACM, 2022 | | 2022 |
| Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition KK Gadiraju, B Ramachandra, RR Vatsavai 2019 International Conference on Data Mining Workshops (ICDMW), 573-580, 2019 | | 2019 |
| Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors B Ramachandra, K Gadiraju, RR Vatsavai, J Puente IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | | 2019 |
| Data Science Driven Hydrological Applications KK Gadiraju NATIONAL WATER CENTER INNOVATORS PROGRAM SUMMER INSTITUTE REPORT 2016 4, 62, 2016 | | 2016 |
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSU在 ncsu.edu 的电子邮件经过验证
