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Chennupati, Gopinath
78  results:
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1

Significant ASR Error Detection for Conversational Voice As..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Harvill, John ; Khaziev, Rinat ; Li, Scarlett... - p. 11606-11610 , 2024
Link: https://doi.org/10.1109/..
 
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2

BB-ML: Basic Block Performance Prediction using Machine Lea..:

, In: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),
Abdelkhalik, Hamdy ; Aktar, Shamminuj ; Arafa, Yehia... - p. 1975-1982 , 2023
Link: https://doi.org/10.1109/..
 
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3

Federated Self-Learning with Weak Supervision for Speech Re..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Rao, Milind ; Chennupati, Gopinath ; Tiwari, Gautam... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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4

General-Purpose Unsupervised Cyber Anomaly Detection via No..:

Eren, Maksim E. ; Moore, Juston S. ; Skau, Erik...
Digital Threats: Research and Practice.  , 2022
Link: https://doi.org/10.1145/..
 
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5

Quantum Algorithm Implementations for Beginners:

J., Abhijith ; Adedoyin, Adetokunbo ; Ambrosiano, John...
ACM Transactions on Quantum Computing.  3 (2022)  4 - p. 1-92 , 2022
Link: https://doi.org/10.1145/..
 
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6

Improved Protein Decoy Selection via Non-Negative Matrix Fa..:

Akhter, Nasrin ; Kabir, Kazi Lutful ; Chennupati, Gopinath...
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  19 (2022)  3 - p. 1670-1682 , 2022
Link: https://doi.org/10.1109/..
 
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7

ILASR: Privacy-Preserving Incremental Learning for Automati..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Chennupati, Gopinath ; Rao, Milind ; Chadha, Gurpreet... - p. 2780-2788 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Finding the Number of Latent Topics With Semantic Non-Negat..:

Vangara, Raviteja ; Bhattarai, Manish ; Skau, Erik...
IEEE Access.  9 (2021)  - p. 117217-117231 , 2021
Link: https://doi.org/10.1109/..
 
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9

Hybrid, scalable, trace-driven performance modeling of GPGP..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Arafa, Yehia ; Badawy, Abdel-Hameed ; ElWazir, Ammar... - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Hybrid, Scalable, Trace-Driven Performance Modeling of GPGP..:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,
Arafa, Yehia ; Badawy, Abdel-Hameed ; ElWazir, Ammar... - p. 1-15 , 2021
Link: https://doi.org/10.1145/..
 
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11

Machine Learning–enabled Scalable Performance Prediction of..:

Chennupati, Gopinath ; Santhi, Nandakishore ; Romero, Phill.
ACM Transactions on Modeling and Computer Simulation.  31 (2021)  2 - p. 1-28 , 2021
Link: https://doi.org/10.1145/..
 
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12

PPT-Multicore: performance prediction of OpenMP application..:

Barai, Atanu ; Arafa, Yehia ; Badawy, Abdel-Hameed...
The Journal of Supercomputing.  78 (2021)  2 - p. 2354-2385 , 2021
Link: https://doi.org/10.1007/..
 
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13

Machine Learning–enabled Scalable Performance Prediction of..:

Chennupati, Gopinath ; Santhi, Nandakishore ; Romero, Phill.
ACM Transactions on Modeling and Computer Simulation (TOMACS).  31 (2021)  2 - p. 1-28 , 2021
Link: https://dl.acm.org/doi/1..
 
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14

PPT-SASMM: Scalable Analytical Shared Memory Model : Pre..:

, In: The International Symposium on Memory Systems,
Barai, Atanu ; Chennupati, Gopinath ; Santhi, Nandakishore... - p. 341-351 , 2020
Link: https://dl.acm.org/doi/1..
 
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15

Distributed non-negative matrix factorization with determin..:

Chennupati, Gopinath ; Vangara, Raviteja ; Skau, Erik..
The Journal of Supercomputing.  76 (2020)  9 - p. 7458-7488 , 2020
Link: https://doi.org/10.1007/..
 
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