Dharani Punithan and Byoung-Tak Zhang,
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models,
arXiv preprint arXiv:2005.13780, 2020.
Dharani Punithan and Byoung-Tak Zhang,
Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward,
Procedia computer science 145, 423-427, 2018. (Impact Score 2.09)
Dharani Punithan and Byoung-Tak Zhang,
Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall,
Procedia Computer Science, 123: 373–379, 2018. (Impact Score 2.09)
Junhyug Noh, Dharani Punithan*, Hajeong Lee, JungPyo Lee, YonSu Kim, DongKi Kim and RI(Bob) McKay,
Machine Learning Models and Statistical Measures for Predicting the Progression of IgA Nephropathy,
International Journal of Software Engineering and Knowledge Engineering, 2015. (Impact Factor 1.47)
Dharani Punithan and Bob (RI) Mckay,
Phase Transitions in Two-Dimensional Daisyworld with Small-World Effects - A Study of Local and Long-Range Couplings,
Future Generation Computer Systems, 2013. (Impact Factor 7.187)
Dharani Punithan, Dong-Kyun Kim, Bob (RI) Mckay,
Spatio-Temporal Dynamics and Quantification of Daisyworld in Two-Dimensional Coupled Map Lattices,
Ecological Complexity 12, Pp 43–57, 2013. (Impact Factor 1.882)
Woo Suk Choi, Yu-Jung Heo, Dharani Punithan, Byoung-Tak Zhang
Scene graph parsing via Abstract Meaning Representation in pre-trained language models,
Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022), Pp. 30-35.
Molecular Learning and Pattern Denoising using Markov Random Field Models,
Proceedings of Korea Computer Congress, Korean Institute of Information Scientists and Engineers (KIISE), Pp. 812-814, June 2020.
Dharani Punithan and Byoung-Tak Zhang,
Molecular Associative Memory for Pattern Recall with Local Neighborhood System,
The 24th International Conference on DNA Computing and Molecular Programming (DNA24), Pp 36, 2018.
Dharani Punithan and Byoung-Tak Zhang,
Lifelong Autonomous Learning through Intrinsic Motivation and Emergent Emotions in Embodied Agents,
International Symposium on Perception, Action, and Cognitive Systems (PACS), 2017 (Best Paper Award).
Dharani Punithan and Byoung-Tak Zhang,
Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall,
Annual International Conference on Biologically Inspired Cognitive Architectures (BICA), 2017 (BICA Society Outstanding Performance Award).
Dharani Punithan and Byoung-Tak Zhang,
Ising Model based Molecular Associative Memory for Pattern Recall,
Proceedings of Korea Computer Congress, Korean Institute of Information Scientists and Engineers (KIISE), Pp. 941-942, June 2017.
Junhyug Noh, Dharani Punithan, and Hajeong Lee,
Predicting the progression of IgA nephropathy using machine learning methods,
8th International Conference on Bioinspired Information and Communications Technologies (BICT), 2014.
Dharani Punithan and Bob (RI) Mckay,
Collective Dynamics and Homeostatic Emergence in Complex Adaptive Ecosystem,
European Conference on Artificial Life (ECAL), MIT Press, Pp. 332-339, 2013.
Dharani Punithan and Bob (RI) Mckay,
Evolutionary Dynamics and Ecosystems Feedback in Two-Dimensional Daisyworld,
Proceedings of ALife XIII, MIT Press, Pp. 91-98, 2012.
Dharani Punithan and Bob (RI) Mckay,
Self-Organizing Spatio-Temporal Pattern Formation in Two-Dimensional Daisyworld,
The International Workshop on Self-Organizing Systems (IWSOS), Lecture Notes in Computer Science 7166 Springer, Pp. 72-83, 2012 (Acceptance: 25%).
Dharani Punithan, Dong-Kyun Kim, Bob (RI) Mckay,
Daisyworld in Two-Dimensional Small-World Networks,
International Conference on Bio-Science and Bio-Technology (FGIT), Communications in Computer and Information Science 258 Springer, Pp. 167-178., 2011.
Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Bob (RI) Mckay, N Mori,
An XML Format for Sharing Evolutionary Algorithm Output and Analysis,
Simulated Evolution and Learning (SEAL), Lecture Notes in Computer Science 6457 Springer, Pp. 384-388, 2010.
Dharani Punithan, Dong-Kyun Kim, Bob (RI) Mckay,
Spatio-temporal Pattern Analysis of Multispecies and an Unlimited Resource,
Korean Society of Mathematical Biology, 2010.
Kangil Kim, Bob (RI) Mckay, Dharani Punithan,
Sampling Bias in Estimation of Distribution Algorithms for Genetic Programming using Prototype Trees,
Pacific Rim Conference on Artificial Intelligence (PRICAI), Lecture Notes in Artificial Intelligence 6230 Springer, Pp. 100-111, 2010.
Dharani Punithan and Bob (RI) Mckay,
Cognitive Based Context-Aware Reference History Management,
Korean Human-Computer Interface Conference (HCI), Pp. 227-231, 2009.
Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Bob (RI) Mckay, Naoki Mori
An XML Format for Sharing Evolutionary Output and Resource,
Seoul National University, Structural Complexity Laboratory, 2008.