Self-Supervised Learning for Environmental Sound Classification AM Tripathi, A Mishra Applied Acoustics 182, 108183, 2021 | 44 | 2021 |
Environment Sound Classification Using An Attention-Based Residual Neural Network AM Tripathi, A Mishra Neurocomputing 460, 409-423, 2021 | 43 | 2021 |
Data Augmentation Guided Knowledge Distillation for Environmental Sound Classification AM Tripathi, K Paul Neurocomputing 489, 59-77, 2022 | 19 | 2022 |
Multivariate time series classification with an attention-based multivariate convolutional neural network AM Tripathi, RD Baruah 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 18 | 2020 |
Ultrasonic sensor-based human detector using one-class classifiers S Sonia, AM Tripathi, RD Baruah, SB Nair 2015 IEEE International Conference on Evolving and Adaptive Intelligent …, 2015 | 18 | 2015 |
Divide and Distill: New Outlooks On Knowledge Distillation for Environmental Sound Classification AM Tripathi, OJ Pandey IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) 31 …, 2023 | 15 | 2023 |
Fuzzy unique image transformation: Defense against adversarial attacks on deep covid-19 models AM Tripathi, A Mishra arXiv preprint arXiv:2009.04004, 2020 | 15 | 2020 |
Adv-ESC: Adversarial attack datasets for an environmental sound classification AM Tripathi*, A Mishra* Applied Acoustics 185, 108437, 2022 | 12 | 2022 |
Ultrasonic sensor-based human detector using one-class classifiers AM Tripathi, RD Baruah, SB Nair 2015 IEEE International Conference on Evolving and Adaptive Intelligent …, 2015 | 12 | 2015 |
Oil Well Drilling Activities Recognition Using a Hierarchical Classifier AM Tripathi, R DuttaBaruah, S Subbiah Journal of Petroleum Science and Engineering 196, 107883, 2021 | 10 | 2021 |
Anomaly detection in multivariate time series using fuzzy adaboost and dynamic naive bayesian classifier AM Tripathi, RD Baruah 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 10 | 2019 |
Acoustic sensor based activity recognition using ensemble of one-class classifiers AM Tripathi, D Baruah, RD Baruah 2015 IEEE international conference on evolving and adaptive intelligent …, 2015 | 8 | 2015 |
Towards Multi-Lingual Audio Question Answering SR Behera, PB Reddy, AM Tripathi, MB Rathod, T Karavadi Proceedings of the IEEE International Speech Communication Association, 356-360, 2023 | 7 | 2023 |
When Sub-Band Features Meet Attention Mechanism While Knowledge Distillation for Sound Classification AM Tripathi, K Paul Applied Acoustics 195, 108813, 2022 | 6 | 2022 |
Contextual anomaly detection in time series using dynamic Bayesian network AM Tripathi, RD Baruah Asian Conference on Intelligent Information and Database Systems, 333-342, 2020 | 6 | 2020 |
Anchor-based void detouring routing protocol in three dimensional IoT networks NK Gupta, RS Yadav, RK Nagaria, D Gupta, AM Tripathi, OJ Pandey Computer Networks 227, 109691, 2023 | 5 | 2023 |
Acoustic event classification using ensemble of one-class classifiers for monitoring application A Tripathi, D Baruah, RD Baruah 2015 IEEE Symposium Series on Computational Intelligence, 1681-1686, 2015 | 5 | 2015 |
Enhancing multivariate time series classification using LSTM and evidence feed forward HMM AM Tripathi 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 4 | 2020 |
Acoustic event classification using Cauchy non-negative matrix factorization and fuzzy rule-based classifier AM Tripathi, RD Baruah 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 4 | 2017 |
Anomaly detection in data streams based on graph coloring density coefficients AM Tripathi, RD Baruah 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016 | 4 | 2016 |