Krishna Karthik Gadiraju

According to our database, Krishna Karthik Gadiraju authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning.

Krishna Karthik Gadiraju, Ranga Raju Vatsavai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022

The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022).

Ashwin Shashidharan, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Varun Chandola

ACM SIGSPATIAL Special, November, 2022

Real-Time Change Detection At the Edge.

Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Comparative analysis of deep transfer learning performance on crop classification.

Krishna Karthik Gadiraju, Ranga Raju Vatsavai

Proceedings of the BIGSPATIAL '20: Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2020

2019

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors.

Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition.

Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images.

Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2016

Benchmarking performance for migrating a relational application to a parallel implementation.

Krishna Karthik Gadiraju, Manik Verma, Karen C. Davis, Paul G. Talaga

Future Gener. Comput. Syst., 2016

Detecting Extreme Events in Gridded Climate Data.

Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski

Proceedings of the International Conference on Computational Science 2016, 2016

2014

Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation.

Krishna Karthik Gadiraju, Karen C. Davis, Paul G. Talaga

Proceedings of the Advances in Conceptual Modeling, 2014