Guruprasad Nayak

According to our database, Guruprasad Nayak authored at least 13 papers between 2017 and 2023.

Collaborative distances:

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

2023

Deep Layers Beware: Unraveling the Surprising Benefits of JPEG Compression for Image Classification Pre-processing.

Guruprasad Nayak, Gerald Friedland

Proceedings of the IEEE International Symposium on Multimedia, 2023

2021

Weakly Supervised Classification Using Group-Level Labels.

Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar

CoRR, 2021

2020

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data.

Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs.

Guruprasad Nayak, Sourav Dutta, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala

Inf. Retr. J., 2019

Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection.

Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar

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

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.

Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar

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

Spatio-temporal classification at multiple resolutions using multi-view regularization.

Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework.

Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza

Remote. Sens., 2018

Automated Knowledge Hierarchy Assessment.

Guruprasad Nayak, Sourav Dutta, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala

Proceedings of the Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, 2018

Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns.

Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

RAPT: Rare Class Prediction in Absence of True Labels.

Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani

IEEE Trans. Knowl. Data Eng., 2017

Predict Land Covers with Transition Modeling and Incremental Learning.

Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Incremental Dual-memory LSTM in Land Cover Prediction.

Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017