Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection D Gong, L Liu, V Le, B Saha, MR Mansour, S Venkatesh, A Hengel
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1092 2019 Video abstraction: A systematic review and classification BT Truong, S Venkatesh
ACM transactions on multimedia computing, communications, and applications …, 2007
1081 2007 Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study L Dandona, R Dandona, GA Kumar, DK Shukla, VK Paul, K Balakrishnan, ...
The Lancet 390 (10111), 2437-2460, 2017
843 2017 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
765 2005 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
643 2016 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
492 2005 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
465 2017 Policy recognition in the abstract hidden markov model HH Bui, S Venkatesh, G West
Journal of Artificial Intelligence Research 17, 451-499, 2002
398 2002 P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
IEEE journal of biomedical and health informatics 21 (1), 22-30, 2016
388 2016 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
383 2021 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
352 2016 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
340 2007 Joint learning and dictionary construction for pattern recognition DS Pham, S Venkatesh
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
298 2008 How honeybees make grazing landings on flat surfaces MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh
Biological cybernetics 83, 171-183, 2000
280 2000 Face recognition using kernel ridge regression S An, W Liu, S Venkatesh
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007
270 2007 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
265 1999 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
262 2019 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
250 2014 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
235 2019 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
229 2020 