| Activeharnet: Towards on-device deep bayesian active learning for human activity recognition GK Gudur, P Sundaramoorthy, V Umaashankar The 3rd International Workshop on Deep Learning for Mobile Systems and …, 2019 | 49 | 2019 |
| Analysis of routing protocol for low-power and lossy networks in IoT real time applications G Gautham Krishna, G Krishna, N Bhalaji Procedia Computer Science 87, 270-274, 2016 | 43 | 2016 |
| Resource-constrained federated learning with heterogeneous labels and models for human activity recognition GK Gudur, SK Perepu International Workshop on Deep Learning for Human Activity Recognition, 57-69, 2021 | 24 | 2021 |
| Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring GK Gudur, SK Perepu NeurIPS Workshop on Machine Learning for Mobile Health 2020, 2020 | 24 | 2020 |
| Harnet: Towards on-device incremental learning using deep ensembles on constrained devices P Sundaramoorthy, GK Gudur, MR Moorthy, RN Bhandari, ... Proceedings of the 2nd International Workshop on Embedded and Mobile Deep …, 2018 | 23 | 2018 |
| Resource-Constrained Federated Learning with Heterogeneous Labels and Models GK Gudur, BS Balaji, SK Perepu ACM SIGKDD 2020 3rd International Workshop on Artificial Intelligence of …, 2020 | 22 | 2020 |
| Zero-Shot Federated Learning with New Classes for Audio Classification GK Gudur, SK Perepu INTERSPEECH 2021, 1579-1583, 2021 | 15 | 2021 |
| A vision-based deep on-device intelligent bus stop recognition system GK Gudur, A Ramesh, S R Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 11 | 2019 |
| Bayesian Active Learning for Wearable Stress and Affect Detection A Ragav*, GK Gudur* NeurIPS Workshop on Machine Learning for Mobile Health 2020, 2020 | 10 | 2020 |
| Svft: Parameter-efficient fine-tuning with singular vectors VC Lingam, A Neerkaje, A Vavre, A Shetty, GK Gudur, J Ghosh, E Choi, ... Advances in Neural Information Processing Systems 37, 41425-41446, 2024 | 8 | 2024 |
| A Generic Multi-modal Dynamic Gesture Recognition System Using Machine Learning GG Krishna, KS Nathan, BY Kumar, AA Prabhu, A Kannan, ... Future of Information and Communication Conference, 603-615, 2018 | 6* | 2018 |
| Label Frequency Transformation for Multi-Label Multi-Class Text Classification. AK Raghavan, V Umaashankar, GK Gudur KONVENS, 2019 | 5 | 2019 |
| Federated learning using heterogeneous labels PS KUMAR, GK Gudur US Patent App. 18/016,636, 2023 | 2 | 2023 |
| AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset E Farahmand, RR Azghan, NT Chatrudi, E Kim, GK Gudur, E Thomaz, ... arXiv preprint arXiv:2502.09919, 2025 | 1 | 2025 |
| Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection GK Gudur, R Raaghul, K Adithya, S Vasudevan 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| A dynamically adaptive movie occupancy forecasting system with feature optimization S Venkataramani, A Ramesh, AK Jain, GK Gudur, V Vijayaraghavan 2019 International Conference on Data Mining Workshops (ICDMW), 799-805, 2019 | 1 | 2019 |
| Electroencephalography Based Analysis of Emotions Among Indian Film Viewers G Gautham Krishna, G Krishna, N Bhalaji Advanced Informatics for Computing Research, 145-155, 2017 | 1 | 2017 |
| Dataset Distillation for Audio Classification: A Data-Efficient Alternative to Active Learning GK Gudur, E Thomaz NeurIPS 2024 Efficient Natural Language and Speech Processing Workshop, 2024 | | 2024 |
| Distributed machine learning with new labels using heterogeneous label distribution GG KRISHNA, SK Perepu US Patent App. 18/274,531, 2024 | | 2024 |
| Method and apparatus for approach recommendation with threshold optimization in unsupervised anomaly detection GK GUDUR, A Adithya, R Raaghul, S Vasudevan WO Patent App. 050,194, 2023 | | 2023 |
satheesh kumar perepuSenior Researcher, EricssonVerified email at ericsson.com
