Using kinect for face recognition under varying poses, expressions, illumination and disguise BYL Li, AS Mian, W Liu, A Krishna 2013 IEEE workshop on applications of computer vision (WACV), 186-192, 2013 | 305 | 2013 |
A review on methods for detecting SNP interactions in high-dimensional genomic data S Uppu, A Krishna, RP Gopalan IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2016 | 64 | 2016 |
Combining i* and BPMN for Business Process Model Lifecycle Management G Koliadis, A Vranesevic, M Bhuiyan, A Krishna, A Ghose Business Process Management Workshops: BPM 2006 International Workshops, BPD …, 2006 | 59 | 2006 |
Combined approach for supporting the business process model lifecycle G Koliadis, A Vranesevic, M Bhuiyan, A Krishna, A Ghose | 52 | 2006 |
Semiotics and intelligent systems development R Gudwin, J Queiroz IGI Global, 2006 | 46 | 2006 |
A deep learning approach to detect SNP interactions. S Uppu, A Krishna, RP Gopalan J. Softw. 11 (10), 965-975, 2016 | 45 | 2016 |
A neural network approach for the prediction of in vitro culture parameters for maximum biomass yields in hairy root cultures O Prakash, S Mehrotra, A Krishna, BN Mishra Journal of theoretical biology 265 (4), 579-585, 2010 | 40 | 2010 |
Supporting quantitative reasoning of non-functional requirements: A process-oriented approach A Affleck, A Krishna 2012 International Conference on Software and System Process (ICSSP), 88-92, 2012 | 37 | 2012 |
Machine learning-based proactive social-sensor service for mental health monitoring using twitter data S Hinduja, M Afrin, S Mistry, A Krishna International Journal of Information Management Data Insights 2 (2), 100113, 2022 | 36 | 2022 |
The evaluation of a mobile user interface for people on the autism spectrum: An eye movement study M Rezae, N Chen, D McMeekin, T Tan, A Krishna, H Lee International Journal of Human-Computer Studies 142, 102462, 2020 | 35 | 2020 |
Face recognition based on Kinect BYL Li, AS Mian, W Liu, A Krishna Pattern Analysis and Applications 19, 977-987, 2016 | 33 | 2016 |
Optimal selection of operationalizations for non-functional requirements A Affleck, A Krishna, NR Achuthan Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling …, 2013 | 31 | 2013 |
Towards optimising non-functional requirements C Burgess, A Krishna, L Jiang 2009 Ninth International Conference on Quality Software, 269-277, 2009 | 30 | 2009 |
Co-evolution of complementary formal and informal requirements A Krishna, AK Ghose, SA Vilkomir Proceedings. 7th International Workshop on Principles of Software Evolution …, 2004 | 29 | 2004 |
Game Theory-Based Requirements Analysis in the i* Framework CM Subramanian, A Krishna, A Kaur The Computer Journal 61 (3), 427-446, 2018 | 25 | 2018 |
Robust RGB-D face recognition using Kinect sensor BYL Li, M Xue, A Mian, W Liu, A Krishna Neurocomputing 214, 93-108, 2016 | 25 | 2016 |
Duplicate bug report detection using clustering RP Gopalan, A Krishna 2014 23rd Australian Software Engineering Conference, 104-109, 2014 | 25 | 2014 |
Risks and challenges of adopting electric vehicles in smart cities V Potdar, S Batool, A Krishna Smart Cities: Development and Governance Frameworks, 207-240, 2018 | 24 | 2018 |
Non-functional requirements framework: A mathematical programming approach A Affleck, A Krishna, NR Achuthan The Computer Journal 58 (5), 1122-1139, 2015 | 24 | 2015 |
Combining agent-oriented conceptual modelling with formal methods SA Vilkomir, AK Ghose, A Krishna 2004 Australian Software Engineering Conference. Proceedings., 147-155, 2004 | 21 | 2004 |