Video abstraction: A systematic review and classification BT Truong, S Venkatesh
ACM transactions on multimedia computing, communications, and applications …, 2007
1110 2007 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
827 2016 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
779 2005 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
739 2021 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
541 2017 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
503 2005 P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
IEEE journal of biomedical and health informatics 21 (1), 22-30, 2016
453 2016 Policy recognition in the abstract hidden markov model HH Bui, S Venkatesh, G West
Journal of Artificial Intelligence Research 17, 451-499, 2002
403 2002 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
398 2016 Bayesian optimization for adaptive experimental design: A review S Greenhill, S Rana, S Gupta, P Vellanki, S Venkatesh
IEEE access 8, 13937-13948, 2020
384 2020 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
369 2007 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
341 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
307 2020 Joint learning and dictionary construction for pattern recognition DS Pham, S Venkatesh
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
301 2008 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
300 2019 How honeybees make grazing landings on flat surfaces MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh
Biological cybernetics 83, 171-183, 2000
300 2000 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
284 2014 Face recognition using kernel ridge regression S An, W Liu, S Venkatesh
2007 IEEE conference on computer vision and pattern recognition, 1-7, 2007
284 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
267 1999 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
262 2019 