S. Chandrakala

27 papers B 2Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition.
Int. J. Artif. Intell. Tools
S. Chandrakala, Vishnika Veni S
2024 J jnl
Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection.
Neural Process. Lett.
S. Chandrakala, Akhilandeswari Pidikiti, P. V. N. Sai Mahathi
2023 J jnl
Anomalous human activity detection in videos using Bag-of-Adapted-Models-based representation.
Pattern Anal. Appl.
S. Chandrakala
2023 J jnl
Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis.
Artif. Intell. Rev.
S. Chandrakala, K. Deepak, G. Revathy
2022 J jnl
Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos.
Expert Syst. Appl.
S. Chandrakala, K. Deepak, L. K. P. Vignesh
2022 J jnl
Intelligibility assessment of impaired speech using Regularized self-representation based compact supervectors.
Comput. Speech Lang.
S. Malini, S. Chandrakala
2022 J jnl
Object-centric and memory-guided network-based normality modeling for video anomaly detection.
Signal Image Video Process.
S. Chandrakala, P. Shalmiya, V. Srinivas, K. Deepak
2022 J jnl
V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos.
IEEE Trans. Comput. Soc. Syst.
S. Chandrakala, L. K. P. Vignesh
2021 — conf
Analysis of Global Word Representations for Depression Detection.
ISIC
Niveditha Sekar, S. Chandrakala, G. Prakash
2021 J jnl
Bag of Models Based Embeddings for Assessment of Neurological Disorders Using Speech Intelligibility.
IEEE Trans. Emerg. Top. Comput.
S. Chandrakala, S. Malini, S. L. Jayalakshmi
2021 J jnl
Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders.
Circuits Syst. Signal Process.
K. Deepak, G. Srivathsan, S. Roshan, S. Chandrakala
2021 J jnl
Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition.
IEEE Access
Vishnika Veni S, S. Chandrakala
2021 J jnl
Multi-view representation for sound event recognition.
Signal Image Video Process.
S. Chandrakala, Venkatraman M, Shreyas N, S. L. Jayalakshmi
2021 J jnl
Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies.
Neural Process. Lett.
S. Chandrakala, V. Srinivas, K. Deepak
2021 J jnl
Residual spatiotemporal autoencoder for unsupervised video anomaly detection.
Signal Image Video Process.
K. Deepak, S. Chandrakala, C. Krishna Mohan
2020 J jnl
A Similarity Based Representation for Identifying Healthcare Anomalous Activities.
J. Medical Imaging Health Informatics
K. Deepak, Mohamed Yacin Sikkandar, S. Siddharth, S. Chandrakala
2020 J jnl
Autocorrelation of gradients based violence detection in surveillance videos.
ICT Express
K. Deepak, L. K. P. Vignesh, S. Chandrakala
2020 J jnl
Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition.
IEEE Trans. Multim.
S. Chandrakala, S. L. Jayalakshmi
2019 J jnl
Environmental Audio Scene and Sound Event Recognition for Autonomous Surveillance: A Survey and Comparative Studies.
ACM Comput. Surv.
S. Chandrakala, S. L. Jayalakshmi
2017 J jnl
Erratum to: MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks.
Wirel. Pers. Commun.
A. Pravin Renold, S. Chandrakala
2017 J jnl
MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks.
Wirel. Pers. Commun.
A. Pravin Renold, S. Chandrakala
2016 J jnl
Survey on state scheduling-based topology control in unattended wireless sensor networks.
Comput. Electr. Eng.
A. Pravin Renold, S. Chandrakala
2010 J jnl
Classification of varying length multivariate time series using Gaussian mixture models and support vector machines.
Int. J. Data Min. Model. Manag.
S. Chandrakala, C. Chandra Sekhar
2009 — conf
Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features.
PReMI
S. Chandrakala, C. Chandra Sekhar
2009 — conf
Model Based Clustering of Audio Clips Using Gaussian Mixture Models.
ICAPR
S. Chandrakala, C. Chandra Sekhar
2008 B conf
A density based method for multivariate time series clustering in kernel feature space.
IJCNN
S. Chandrakala, C. Chandra Sekhar
2007 B conf
Local Density Estimation based Clustering.
IJCNN
Sheetal Reddy Pamudurthy, S. Chandrakala, C. Chandra Sekhar