Achyut Mani Tripathi

Orcid: 0000-0003-0548-9688

According to our database1, Achyut Mani Tripathi authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Anchor-based void detouring routing protocol in three dimensional IoT networks.
Comput. Networks, May, 2023

Divide and Distill: New Outlooks on Knowledge Distillation for Environmental Sound Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Sub-Band Contrastive Learning-Based Knowledge Distillation For Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Data augmentation guided knowledge distillation for environmental sound classification.
Neurocomputing, 2022

Temporal Self Attention-Based Residual Network for Environmental Sound Classification.
Proceedings of the Interspeech 2022, 2022

Revamped Knowledge Distillation for Sound Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Investigation of Performance of Visual Attention Mechanisms for Environmental Sound Classification: A Comparative Study.
Proceedings of the International Joint Conference on Neural Networks, 2022

Reverse Adversarial Attack To Enhance Environmental Sound Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2022

Defensive Bit Planes: Defense Against Adversarial Attacks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Environment sound classification using an attention-based residual neural network.
Neurocomputing, 2021

2020
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models.
CoRR, 2020

Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Multivariate Time Series Classification Using LSTM and Evidence Feed Forward HMM.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2017
Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Anomaly detection in data streams based on graph coloring density coefficients.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Acoustic sensor based activity recognition using ensemble of one-class classifiers.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Ultrasonic sensor-based human detector using one-class classifiers.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015


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