Publications

Published Works

  • Gadiraju, Krishna Karthik, and Ranga Raju Vatsavai. "Comparative analysis of deep transfer learning performance on crop classification." In Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, pp. 1-8. 2020.

  • Munasinghe, Dinuke, Sagy Cohen, and Krishna Gadiraju. "A Review of Satellite Remote Sensing Techniques of River Delta Morphology Change." Remote Sensing in Earth Systems Sciences (2021): 1-32.

  • Gadiraju, Krishna Karthik, Bharathkumar Ramachandra, Zexi Chen, and Ranga Raju Vatsavai. "Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery." In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 3234-3242. 2020.

  • Gadiraju, Krishna Karthik, Bharathkumar Ramachadra, Ashwin Shashidharan, Ben Dutton and Ranga Raju Vatsavai. "Scalable Data Parallel Approaches to Anomaly Detection in Gridded Climate Data" in ICMLA 2019

  • Gadiraju, Krishna Karthik, Bharathkumar Ramachandra, Ranga Raju Vatsavai "Evaluating Performance of Deep Neural Networks\\ for Crop Classification and Complex Facility Recognition" in ICDMW 2019

  • Gadiraju, Krishna Karthik, Bharathkumar Ramachandra, and Ranga Raju Vatsavai. "Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition." In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 3057-3060. IEEE, 2019.

  • Ramachandra, Bharathkumar, Krishna Karthik Gadiraju and Ranga Raju Vatsavai, "Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors" in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 3732-3735. IEEE, 2019.

  • Gadiraju, Krishna Karthik, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, and Anirudh Krishna. "Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1397-1404. IEEE, 2018.

  • Gadiraju, Krishna Karthik. "Data Science Driven Hydrological Applications." NATIONAL WATER CENTER INNOVATORS PROGRAM SUMMER INSTITUTE REPORT 2016 4 (2016): 62.

  • Bharathkumar Ramachandra, Gadiraju Krishna Karthik, Ranga Raju Vatsavai, Dale Kaiser and Tom Karnowski. "Detecting Extreme Events in Gridded Climate Data", Procedia Computer Science - at The International Conference on Computational Science 2016.

  • Bharathkumar Ramachandra, Gadiraju Krishna Karthik, Ranga Raju Vatsavai, Dale Kaiser and Tom Karnowski. "Detecting Extreme Events in Historical Global Gridded Climatological Data", The 6th International Workshop on Big Data Analytics: Challenges, and Opportunities, held in cooperation with 27th IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis.

  • Gadiraju, Krishna Karthik, Karen C. Davis, and Paul G. Talaga. "Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation." In Advances in Conceptual Modeling, pp. 55-64. Springer International Publishing, 2014. (An extended version of this paper has been published in the journal: Future Generation Computer Systems