S. Chandrakala
Orcid: 0000-0003-4723-1984Affiliations:
- SASTRA University, Intelligent Systems Group, Thanjavur, Tamil Nadu, India
According to our database1,
S. Chandrakala
authored at least 28 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection.
Neural Process. Lett., February, 2024
Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition.
Int. J. Artif. Intell. Tools, February, 2024
2023
Anomalous human activity detection in videos using Bag-of-Adapted-Models-based representation.
Pattern Anal. Appl., August, 2023
Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis.
Artif. Intell. Rev., April, 2023
2022
V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos.
IEEE Trans. Comput. Soc. Syst., 2022
Object-centric and memory-guided network-based normality modeling for video anomaly detection.
Signal Image Video Process., 2022
Expert Syst. Appl., 2022
Intelligibility assessment of impaired speech using Regularized self-representation based compact supervectors.
Comput. Speech Lang., 2022
2021
Bag of Models Based Embeddings for Assessment of Neurological Disorders Using Speech Intelligibility.
IEEE Trans. Emerg. Top. Comput., 2021
Signal Image Video Process., 2021
Signal Image Video Process., 2021
Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies.
Neural Process. Lett., 2021
Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders.
Circuits Syst. Signal Process., 2021
Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition.
IEEE Access, 2021
Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021), 2021
2020
Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition.
IEEE Trans. Multim., 2020
J. Medical Imaging Health Informatics, 2020
ICT Express, 2020
2019
Environmental Audio Scene and Sound Event Recognition for Autonomous Surveillance: A Survey and Comparative Studies.
ACM Comput. Surv., 2019
2017
Erratum to: MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks.
Wirel. Pers. Commun., 2017
MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks.
Wirel. Pers. Commun., 2017
2016
Survey on state scheduling-based topology control in unattended wireless sensor networks.
Comput. Electr. Eng., 2016
2010
Classification of varying length multivariate time series using Gaussian mixture models and support vector machines.
Int. J. Data Min. Model. Manag., 2010
2009
Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Combination of generative models and SVM based classifier for speech emotion recognition.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009
2008
A density based method for multivariate time series clustering in kernel feature space.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007