| Spatio-temporal dynamics and quantification of daisyworld in two-dimensional coupled map lattices D Punithan, DK Kim, RIB McKay Ecological complexity 12, 43-57, 2012 | 46 | 2012 |
| Daisyworld in two dimensional small-world networks D Punithan, DK Kim, RI McKay International Conference on Bio-Science and Bio-Technology, 167-178, 2011 | 9 | 2011 |
| Scene graph parsing via Abstract Meaning Representation in pre-trained language models WS Choi, YJ Heo, D Punithan, BT Zhang Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural …, 2022 | 8 | 2022 |
| Self-organizing spatio-temporal pattern formation in two-dimensional daisyworld D Punithan, RI McKay International Workshop on Self-Organizing Systems, 72-83, 2012 | 8 | 2012 |
| Phase transitions in two dimensional daisyworld with small-world effects: A study of local and long-range couplings D Punithan, RI McKay Future Generation Computer Systems, 2013 | 7 | 2013 |
| Evolutionary dynamics and ecosystems feedback in two dimensional daisyworld D Punithan, RI McKay Artificial Life Conference Proceedings 12, 91-98, 2012 | 7 | 2012 |
| Sampling bias in estimation of distribution algorithms for genetic programming using prototype trees K Kim, BRI McKay, D Punithan PRICAI 2010: Trends in Artificial Intelligence: 11th Pacific Rim …, 2010 | 7 | 2010 |
| Ising Model based Molecular Associative Memory for Pattern Recall D Punithan, BT Zhang Proceedings of Korea Computer Congress, 941-942, 2017 | 3 | 2017 |
| Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward D Punithan, BT Zhang Procedia computer science 145 (Proceedings of BICA 2018), 423-427, 2018 | 2 | 2018 |
| Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall D Punithan, BT Zhang Procedia Computer Science 123 (Proceedings of BICA 2017), 373-379, 2018 | 2 | 2018 |
| Machine learning models and statistical measures for predicting the progression of IgA nephropathy J Noh, D Punithan, H Lee, JP Lee, YS Kim, DK Kim, RIB McKay International Journal of Software Engineering and Knowledge Engineering 25 …, 2015 | 2 | 2015 |
| Predicting the progression of IgA nephropathy using machine learning methods J Noh, D Punithan, H Lee Proceedings of the 8th International Conference on Bioinspired Information …, 2014 | 2 | 2014 |
| Collective dynamics and homeostatic emergence in complex adaptive ecosystem D Punithan, RI McKay Artificial Life Conference Proceedings, 332-339, 2013 | 2 | 2013 |
| Pattern denoising in molecular associative memory using pairwise markov random field models D Punithan, BT Zhang arXiv preprint arXiv:2005.13780, 2020 | 1 | 2020 |
| Molecular Learning and Pattern Denoising using Markov Random Field Models D Punithan, BT Zhang Proceedings of Korea Computer Congress, 812-814, 2020 | | 2020 |
| Molecular associative memory for pattern recall with local neighborhood models D Punithan, B Zhang Conference on DNA Computing and Molecular Programming, 2018 | | 2018 |
| Molecular Associative Memory for Pattern Recall with Local Neighborhood System D Punithan, BT Zhang The 24th International Conference on DNA Computing and Molecular Programming …, 2018 | | 2018 |
| Lifelong Autonomous Learning through Intrinsic Motivation and Emergent Emotions in Embodied Agents D Punithan, BT Zhang International Symposium on Perception, Action, and Cognitive Systems (PACS 2017), 2017 | | 2017 |
| Coupled Map Lattice based Homeostatic Complex Systems 다라니 서울대학교 대학원, 2014 | | 2014 |
| An XML Format for Sharing Evolutionary Algorithm Output and Analysis N Mori, K Kim, D Punithan, J Marhic, RI McKay, J Bootkrajang (No Title), 2010 | | 2010 |
Bob McKayHonorary Professor of Computer Science, Australian National UniverstyVerified email at anu.edu.au
