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Svetha Venkatesh
Svetha Venkatesh
Deakin Distinguished Professor, Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Video abstraction: A systematic review and classification
BT Truong, S Venkatesh
ACM transactions on multimedia computing, communications, and applications …, 2007
11122007
Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ...
Journal of medical Internet research 18 (12), e323, 2016
8392016
Activity recognition and abnormality detection with the switching hidden semi-markov model
TV Duong, HH Bui, DQ Phung, S Venkatesh
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
7832005
GraphDTA: predicting drug–target binding affinity with graph neural networks
T Nguyen, H Le, TP Quinn, T Nguyen, TD Le, S Venkatesh
Bioinformatics 37 (8), 1140-1147, 2021
7572021
Predicting healthcare trajectories from medical records: A deep learning approach
T Pham, T Tran, D Phung, S Venkatesh
Journal of biomedical informatics 69, 218-229, 2017
5462017
Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model
NT Nguyen, DQ Phung, S Venkatesh, H Bui
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
5032005
: A Convolutional Net for Medical Records
P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
IEEE journal of biomedical and health informatics 21 (1), 22-30, 2016
4572016
Policy recognition in the abstract hidden markov model
HH Bui, S Venkatesh, G West
Journal of Artificial Intelligence Research 17, 451-499, 2002
4032002
Deepcare: A deep dynamic memory model for predictive medicine
T Pham, T Tran, D Phung, S Venkatesh
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
4022016
Bayesian optimization for adaptive experimental design: A review
S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh
IEEE access 8, 13937-13948, 2020
3972020
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
S An, W Liu, S Venkatesh
Pattern Recognition 40 (8), 2154-2162, 2007
3712007
Learning regularity in skeleton trajectories for anomaly detection in videos
R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3472019
Hierarchical conditional relation networks for video question answering
TM Le, V Le, S Venkatesh, T Tran
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3092020
Outbreak investigation of Nipah virus disease in Kerala, India, 2018
G Arunkumar, R Chandni, DT Mourya, SK Singh, R Sadanandan, ...
The Journal of infectious diseases 219 (12), 1867-1878, 2019
3032019
Joint learning and dictionary construction for pattern recognition
DS Pham, S Venkatesh
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
3012008
How honeybees make grazing landings on flat surfaces
MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh
Biological cybernetics 83, 171-183, 2000
3012000
Affective and content analysis of online depression communities
T Nguyen, D Phung, B Dao, S Venkatesh, M Berk
IEEE transactions on affective computing 5 (3), 217-226, 2014
2872014
Face recognition using kernel ridge regression
S An, W Liu, S Venkatesh
2007 IEEE conference on computer vision and pattern recognition, 1-7, 2007
2852007
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
K Huckvale, S Venkatesh, H Christensen
NPJ digital medicine 2 (1), 1-11, 2019
2692019
Robot navigation inspired by principles of insect vision
MV Srinivasan, JS Chahl, K Weber, S Venkatesh, MG Nagle, SW Zhang
Robotics and Autonomous Systems 26 (2-3), 203-216, 1999
2671999
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