Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation. - Krishna Karthik Gadiraju; Karen C. Davis; Paul G. Talaga (ER Workshops, 2014)

Detecting Extreme Events in Gridded Climate Data. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Dale P. Kaiser; Thomas P. Karnowski (ICCS, 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)

Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. - Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Nikhil Kaza; Eric Wibbels; Anirudh Krishna (ICDM Workshops, 2018)

Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICDM Workshops, 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 (ICMLA, 2019)

Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2019)

Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. - Bharathkumar Ramachandra; Krishna Karthik Gadiraju; Ranga Raju Vatsavai; Jaime Puente (IGARSS, 2019)

Comparative analysis of deep transfer learning performance on crop classification. - Krishna Karthik Gadiraju; Ranga Raju Vatsavai (BigSpatial@SIGSPATIAL, 2020)

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Zexi Chen; Ranga Raju Vatsavai (KDD, 2020)

Real-Time Change Detection At the Edge. - Krishna Karthik Gadiraju; Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICMLA, 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, 2022)

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)