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Other IDs

Scopus Author ID: 6505853809

Keywords

Machine Learning, Deep Learning, Speech Technology, Computer Vision

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Employment (2)

Shiv Nadar University Chennai: Chengalpattu, IN

2023-05-24 to present | Professor (Computer Science and Engineering)
Employment
Source: Self-asserted source
Chandrakala S

SASTRA University: Thanjavur, Tamil Nadu, IN

2017-06-09 to 2023-05-13 | Professor (School Of Computing)
Employment
Source: Self-asserted source
Chandrakala S

Education and qualifications (3)

Indian Institute of Technology Madras: Chennai, Tamil Nadu, IN

2005-06-01 to 2010-06-01 | PhD (CSE)
Education
Source: Self-asserted source
Chandrakala S

SASTRA University: Thanjavur, Tamil Nadu, IN

2001-05-01 to 2002-06-01 | M.Tech (CSE)
Education
Source: Self-asserted source
Chandrakala S

Thiagarajar College of Engineering: Madurai, Tamil Nadu, IN

1988-05-01 to 1992-05-01 | B.E (ECE)
Education
Source: Self-asserted source
Chandrakala S

Professional activities (1)

Computer Society of India: Chennai, Tamil Nadu, IN

2012-06-01 to present | Life Member
Membership
Source: Self-asserted source
Chandrakala S

Funding (1)

Machine Learning based Speech Assistive Tool for people with Neurological Disorder

2018-12 to present | Grant
Department of Science and Technology (New Delhi, IN)
Source: Self-asserted source
Chandrakala S

Works (42)

Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition

International Journal on Artificial Intelligence Tools
2024-02 | Journal article
DOI: 10.1142/S0218213023500586
Contributors: S. Chandrakala; Veni S Vishnika
Source: check_circle
Crossref

Anomalous human activity detection in videos using Bag-of-Adapted-Models-based representation

Pattern Analysis and Applications
2023-08 | Journal article
DOI: 10.1007/s10044-023-01177-5
Contributors: S. Chandrakala
Source: check_circle
Crossref

Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis

Artificial Intelligence Review
2023-04 | Journal article
DOI: 10.1007/s10462-022-10258-6
Contributors: S. Chandrakala; K. Deepak; G. Revathy
Source: check_circle
Crossref

Object-centric and memory-guided network-based normality modeling for video anomaly detection

Signal, Image and Video Processing
2022-10 | Journal article
DOI: 10.1007/s11760-022-02161-y
Contributors: S. Chandrakala; P. Shalmiya; V. Srinivas; K. Deepak
Source: check_circle
Crossref

V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos

IEEE Transactions on Computational Social Systems
2022-10 | Journal article
DOI: 10.1109/TCSS.2021.3119957
Contributors: S. Chandrakala; L. K. P. Vignesh
Source: check_circle
Crossref

Intelligibility assessment of impaired speech using Regularized self-representation based compact supervectors

Computer Speech & Language
2022-07 | Journal article
DOI: 10.1016/j.csl.2022.101355
Contributors: S. Malini; S. Chandrakala
Source: check_circle
Crossref

Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos

Expert Systems with Applications
2022-03 | Journal article
DOI: 10.1016/j.eswa.2021.116168
Contributors: Chandrakala S.; Deepak K.; Vignesh L.K.P.
Source: check_circle
Crossref

Histogram of States Based Assistive System for Speech Impairment Due to Neurological Disorders

IEEE Transactions on Neural Systems and Rehabilitation Engineering
2021 | Journal article
DOI: 10.1109/TNSRE.2021.3125314
Contributors: S. Chandrakala; S. Malini; S. Vishnika Veni
Source: check_circle
Crossref

Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3129847
Contributors: Vishnika Veni S; Chandrakala S
Source: check_circle
Crossref

Residual Spatiotemporal Autoencoder with Skip Connected and Memory Guided Network for Detecting Video Anomalies

Neural Processing Letters
2021-12-25 | Journal article
DOI: 10.1007/s11063-021-10618-3
Contributors: S. Chandrakala; V. Srinivas; K. Deepak
Source: check_circle
Crossref

Multi-view representation for sound event recognition

Signal, Image and Video Processing
2021-09-23 | Journal article
DOI: 10.1007/s11760-020-01851-9
Contributors: S. Chandrakala; Venkatraman M; Shreyas N; Jayalakshmi S L
Source: check_circle
Crossref
grade
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Bag of Models Based Embeddings for Assessment of Neurological Disorders Using Speech Intelligibility

IEEE Transactions on Emerging Topics in Computing
2021-07-01 | Journal article
DOI: 10.1109/TETC.2020.3003085
Contributors: S. Chandrakala; S. Malini; S. L. Jayalakshmi
Source: check_circle
Crossref

Deep Multi-view Representation Learning for Video Anomaly Detection Using Spatiotemporal Autoencoders

Circuits, Systems, and Signal Processing
2021-03-25 | Journal article
DOI: 10.1007/s00034-020-01522-7
Contributors: K. Deepak; G. Srivathsan; S. Roshan; S. Chandrakala
Source: check_circle
Crossref
grade
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Residual spatiotemporal autoencoder for unsupervised video anomaly detection

Signal, Image and Video Processing
2021-02-20 | Journal article
DOI: 10.1007/s11760-020-01740-1
Contributors: K. Deepak; S. Chandrakala; C. Krishna Mohan
Source: check_circle
Crossref
grade
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Multi-view representation based speech assisted system for people with neurological disorders

Journal of Ambient Intelligence and Humanized Computing
2021-01-02 | Journal article
DOI: 10.1007/s12652-020-02764-8
Part of ISSN: 1868-5137
Part of ISSN: 1868-5145
Source: Self-asserted source
Chandrakala S

Autocorrelation of gradients based violence detection in surveillance videos

ICT Express
2020 | Journal article
DOI: 10.1016/j.icte.2020.04.014
EID:

2-s2.0-85087781508

Part of ISSN: 24059595
Contributors: Deepak, K.; Vignesh, L.K.P.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Machine Learning Based Assistive Speech Technology for People with Neurological Disorders

Intelligent Systems Reference Library
2020 | Book chapter
DOI: 10.1007/978-3-030-30817-9_6
EID:

2-s2.0-85075077639

Part of ISSN: 18684408 18684394
Contributors: Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Statistical features based violence detection in surveillance videos

International Journal of Advanced Science and Technology
2020 | Journal article
DOI: 10.1007/978-981-15-1451-7_21
EID:

2-s2.0-85081578736

Part of ISSN: 22076360 20054238
Contributors: Deepak, K.; Vignesh, L.K.P.; Srivathsan, G.; Roshan, S.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Traffic anomalies in surveillance videos: Recent trends

Journal of Computational and Theoretical Nanoscience
2020 | Journal article
DOI: 10.1166/jctn.2020.8622
EID:

2-s2.0-85080024187

Part of ISSN: 15461963 15461955
Contributors: Prasath, V.; Deepak, K.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Environmental Audio Scene and Sound Event Recognition for Autonomous Surveillance

ACM Computing Surveys
2020-05-31 | Journal article
DOI: 10.1145/3322240
Contributors: S. Chandrakala; S. L. Jayalakshmi
Source: check_circle
Crossref

A Similarity Based Representation for Identifying Healthcare Anomalous Activities

Journal of Medical Imaging and Health Informatics
2020-04-01 | Journal article
DOI: 10.1166/jmihi.2020.2903
Part of ISSN: 2156-7018
Source: Self-asserted source
Chandrakala S

Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition

IEEE Transactions on Multimedia
2020-01 | Journal article
DOI: 10.1109/TMM.2019.2925956
Contributors: S. Chandrakala; S. L. Jayalakshmi
Source: check_circle
Crossref
grade
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Global statistical features-based approach for Acoustic Event Detection

Applied Acoustics
2018 | Journal article
DOI: 10.1016/j.apacoust.2018.04.026
EID:

2-s2.0-85046168569

Part of ISSN: 1872910X 0003682X
Contributors: Jayalakshmi, S.L.; Chandrakala, S.; Nedunchelian, R.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Acoustic event detection for surveillance applications

Applied Acoustics, Elsevier
2018-10-01 | Journal article
Source: Self-asserted source
Chandrakala S

Erratum to: MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks (Wireless Personal Communications, (2017), 96, 4, (5061-5079), 10.1007/s11277-016-3729-3)

Wireless Personal Communications
2017 | Journal article
DOI: 10.1007/s11277-016-3832-5
EID:

2-s2.0-84992349001

Part of ISSN: 1572834X 09296212
Contributors: Pravin Renold, A.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks

Wireless Personal Communications
2017 | Journal article
DOI: 10.1007/s11277-016-3729-3
EID:

2-s2.0-84990833605

Part of ISSN: 1572834X 09296212
Contributors: Renold, A.P.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Representation Learning Based Speech Assistive System for Persons With Dysarthria

IEEE Transactions on Neural Systems and Rehabilitation Engineering
2017-09 | Journal article
DOI: 10.1109/TNSRE.2016.2638830
Contributors: S. Chandrakala; Natarajan Rajeswari
Source: check_circle
Crossref
grade
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Convex-hull based boundary detection in unattended wireless sensor networks

IEEE Sensors Letters
2017-08-01 | Journal article
Source: Self-asserted source
Chandrakala S

Survey on state scheduling-based topology control in unattended wireless sensor networks

Computers and Electrical Engineering
2016 | Journal article
DOI: 10.1016/j.compeleceng.2015.12.024
EID:

2-s2.0-84954350277

Part of ISSN: 00457906
Contributors: Renold, A.P.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Android OpenCV based effective driver fatigue and distraction monitoring system

Proceedings of the International Conference on Computing and Communications Technologies, ICCCT 2015
2015 | Conference paper
DOI: 10.1109/ICCCT2.2015.7292757
EID:

2-s2.0-84961777914
Contributors: Manoharan, R.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Joint sentiment/topic extraction from text

Proceedings of 2014 IEEE International Conference on Advanced Communication, Control and Computing Technologies, ICACCCT 2014
2015 | Conference paper
DOI: 10.1109/ICACCCT.2014.7019160
EID:

2-s2.0-84923268941
Contributors: Sowmiya, J.S.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Audio-based event detection in videos - A comprehensive survey

International Journal of Engineering and Technology
2014 | Journal article
EID:

2-s2.0-84908880332

Part of ISSN: 09754024 23198613
Contributors: Natarajan, R.; Chandrakala, S.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Classification of varying length multivariate time series using Gaussian mixture models and support vector machines

International Journal of Data Mining, Modelling and Management
2010 | Journal article
DOI: 10.1504/IJDMMM.2010.033537
EID:

2-s2.0-84858762110

Part of ISSN: 17591171 17591163
Contributors: Chandrakala, S.; Sekhar, C.C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Classification of varying length time series using example-specific adapted Gaussian mixture models and support vector machines

2010 International Conference on Signal Processing and Communications, SPCOM 2010
2010 | Conference paper
DOI: 10.1109/SPCOM.2010.5560502
EID:

2-s2.0-77958474665
Contributors: Chandrakala, S.; Chandra Sekhar, C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Support vector regression based autoassociative models for time series classification

Proceedings of 16th National Conference on Communications, NCC 2010
2010 | Conference paper
DOI: 10.1109/NCC.2010.5430179
EID:

2-s2.0-77952126858
Contributors: Chandrakala, S.; Chandra Sekhar, C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Classification of multi-variate varying length time series using descriptive statistical features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | Book
DOI: 10.1007/978-3-642-11164-8_3
EID:

2-s2.0-76249126638

Part of ISSN: 03029743 16113349
Contributors: Chandrakala, S.; Sekhar, C.C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Combination of generative models and SVM based classifier for speech emotion recognition

Proceedings of the International Joint Conference on Neural Networks
2009 | Conference paper
DOI: 10.1109/IJCNN.2009.5178777
EID:

2-s2.0-70449426118
Contributors: Chandrakala, S.; Chandra Sekhar, C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Model based clustering of audio clips using Gaussian mixture models

Proceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009
2009 | Conference paper
DOI: 10.1109/ICAPR.2009.92
EID:

2-s2.0-63649121105
Contributors: Chandrakala, S.; Chandra Sekhar, C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

A density based method for multivariate time series clustering in kernel feature space

Proceedings of the International Joint Conference on Neural Networks
2008 | Conference paper
DOI: 10.1109/IJCNN.2008.4634055
EID:

2-s2.0-56349085660
Contributors: Chandrakala, S.; Sekhar, C.C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Local density estimation based clustering

IEEE International Conference on Neural Networks - Conference Proceedings
2007 | Conference paper
DOI: 10.1109/IJCNN.2007.4371137
EID:

2-s2.0-51749114452

Part of ISSN: 10987576
Contributors: Pamudurthy, S.R.; Chandrakala, S.; Sekhar, C.C.
Source: Self-asserted source
Chandrakala S via Scopus - Elsevier

Generative Model-Driven Feature Learning for Dysarthric Speech Recognition

Biocybernetics and Biomedical Engineering, Volume 36, Issue 4, pages 553-561, Elsevier
Journal article
DOI: 10.1016/j.bbe.2016.05.003
EID:

2-s2.0-84976427910

Part of ISSN: 02085216
Source: Self-asserted source
Chandrakala S
grade
Preferred source (of 2)‎

MRL-SCSO: Multi-agent Reinforcement Learning based Self-Configuration and Self-Optimization protocol for Un-attended Wireless Sensor Networks

Springer Journal of Wireless Personal Communications, Vol. 90, Issue 3, Oct 2016.
Journal article
Source: Self-asserted source
Chandrakala S

Peer review (17 reviews for 9 publications/grants)

Review activity for Applied acoustics (2)
Review activity for Applied soft computing. (1)
Review activity for Artificial intelligence review. (1)
Review activity for Engineering applications of artificial intelligence. (1)
Review activity for Journal of visual communication and image representation. (1)
Review activity for Knowledge-based systems. (2)
Review activity for Neural computing & applications. (4)
Review activity for Pattern recognition. (2)
Review activity for Signal, image and video processing. (3)
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