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ORCIDSurya Teja Chavali
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2020 – today
- 2025
[j2]Susmitha Vekkot
, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers. IEEE Access 13: 3298-3319 (2025)- 2022
- [c1]Surya Teja Chavali, Charan Tej Kandavalli, Sugash T. M, Deepa Gupta:
A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines. ICCCNT 2022: 1-5 - 2020
- [j1]Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian:
DANTE: Deep alternations for training neural networks. Neural Networks 131: 127-143 (2020)
2010 – 2019
- 2019
- [i2]Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. CoRR abs/1902.00491 (2019) - [i1]Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla:
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. CoRR abs/1907.01484 (2019)
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