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Achyut Mani Tripathi
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2020 – today
- 2024
- [i2]Tonmoy Rajkhowa, Amartya Roy Chowdhury, Sankalp Nagaonkar, Achyut Mani Tripathi:
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering. CoRR abs/2407.11383 (2024) - 2023
- [j4]Naveen Kumar Gupta, Rama Shankar Yadav, Rajendra Kumar Nagaria, Deepak Gupta, Achyut Mani Tripathi, Om Jee Pandey:
Anchor-based void detouring routing protocol in three dimensional IoT networks. Comput. Networks 227: 109691 (2023) - [j3]Achyut Mani Tripathi, Om Jee Pandey:
Divide and Distill: New Outlooks on Knowledge Distillation for Environmental Sound Classification. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1100-1113 (2023) - [c19]Achyut Mani Tripathi, Aakansha Mishra:
Sub-Band Contrastive Learning-Based Knowledge Distillation For Sound Classification. ICASSP 2023: 1-5 - [c18]Swarup Ranjan Behera, Pailla Balakrishna Reddy, Achyut Mani Tripathi, Megavath Bharadwaj Rathod, Tejesh Karavadi:
Towards Multi-Lingual Audio Question Answering. INTERSPEECH 2023: 356-360 - 2022
- [j2]Achyut Mani Tripathi, Konark Paul:
Data augmentation guided knowledge distillation for environmental sound classification. Neurocomputing 489: 59-77 (2022) - [c17]Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Defensive Bit Planes: Defense Against Adversarial Attacks. IJCNN 2022: 1-8 - [c16]Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis. IJCNN 2022: 1-8 - [c15]Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Reverse Adversarial Attack To Enhance Environmental Sound Classification. IJCNN 2022: 1-9 - [c14]Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Investigation of Performance of Visual Attention Mechanisms for Environmental Sound Classification: A Comparative Study. IJCNN 2022: 1-8 - [c13]Achyut Mani Tripathi, Aakansha Mishra:
Revamped Knowledge Distillation for Sound Classification. IJCNN 2022: 1-8 - [c12]Achyut Mani Tripathi, Konark Paul:
Temporal Self Attention-Based Residual Network for Environmental Sound Classification. INTERSPEECH 2022: 1516-1520 - 2021
- [j1]Achyut Mani Tripathi, Aakansha Mishra:
Environment sound classification using an attention-based residual neural network. Neurocomputing 460: 409-423 (2021) - 2020
- [c11]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network. ACIIDS (2) 2020: 333-342 - [c10]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN. FUZZ-IEEE 2020: 1-8 - [c9]Achyut Mani Tripathi:
Enhancing Multivariate Time Series Classification Using LSTM and Evidence Feed Forward HMM. IJCNN 2020: 1-7 - [c8]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. IJCNN 2020: 1-8 - [i1]Achyut Mani Tripathi, Ashish Mishra:
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models. CoRR abs/2009.04004 (2020)
2010 – 2019
- 2019
- [c7]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation. FUZZ-IEEE 2019: 1-6 - [c6]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier. SMC 2019: 1938-1944 - 2017
- [c5]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier. FUZZ-IEEE 2017: 1-6 - 2016
- [c4]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Anomaly detection in data streams based on graph coloring density coefficients. SSCI 2016: 1-7 - 2015
- [c3]Sonia, Achyut Mani Tripathi, Rashmi Dutta Baruah, Shivashankar B. Nair:
Ultrasonic sensor-based human detector using one-class classifiers. EAIS 2015: 1-6 - [c2]Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah:
Acoustic sensor based activity recognition using ensemble of one-class classifiers. EAIS 2015: 1-7 - [c1]Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah:
Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application. SSCI 2015: 1681-1686
Coauthor Index
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last updated on 2024-08-25 20:09 CEST by the dblp team
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