Murlikrishna Viswanathan

23 papers A 1C 3Misc 2Journal 2Unranked 13
YearRankTypeTitle / Venue / Authors
2021 J jnl
Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development.
Inf.
Yoshimasa Masuda, Alfred Zimmermann, Murlikrishna Viswanathan, Matt Bass, Osamu Nakamura, Shuichiro Yamamoto
2019 — book
Enterprise Architecture for Global Companies in a Digital IT Era - Adaptive Integrated Digital Architecture Framework (AIDAF)
Yoshimasa Masuda, Murlikrishna Viswanathan
2012 — conf
A novel local mobility anchor selection scheme for proxy mobile IPv6 networks.
ICUIMC
Murlikrishna Viswanathan, Myung-Kyu Yi, Sung-Yeol Yun, Seok-Cheon Park, Young-Kyu Yang
2012 — conf
Emotional-speech recognition using the neuro-fuzzy network.
ICUIMC
Murlikrishna Viswanathan, Zhen-Xing Zhang, Xue-Wei Tian, Joon S. Lim
2011 — conf
A fatigue detection algorithm by heart rate variability based on a neuro-fuzzy network.
ICUIMC
Murlikrishna Viswanathan, Zhenxing Zhang, Xue-Wei Tian, Joon S. Lim
2011 — conf
Performance analysis of dynamic mobility management for proxy mobile IPv6 networks.
ICUIMC
Murlikrishna Viswanathan, Myung-Kyu Yi, Sung-Yeol Yun, Seok-Cheon Park, Young-Kyu Yang
2007 Misc conf
A Distributed Data Mining System for a Novel Ubiquitous Healthcare Framework.
International Conference on Computational Science (3)
Murlikrishna Viswanathan, Taeg Keun Whangbo, Ki-Jung Lee, Young-Kyu Yang
2007 — conf
Distributed Data Mining in a Ubiquitous Healthcare Framework.
Canadian AI
Murlikrishna Viswanathan
2006 — conf
A Hybrid Soft Computing Approach to Link Travel Speed Estimation.
FSKD
Seung-Heon Lee, Murlikrishna Viswanathan, Young-Kyu Yang
2006 Misc conf
Link Speed Estimation and Incident Detection Using Clustering and Neuro-fuzzy Methods.
International Conference on Computational Science (3)
Seung-Heon Lee, Murlikrishna Viswanathan, Young-Kyu Yang
2006 C conf
Neuro-fuzzy Learning for Automated Incident Detection.
IEA/AIE
Murlikrishna Viswanathan, Seung-Heon Lee, Young-Kyu Yang
2006 J jnl
Pose-expression Normalization for Face Recognition Using Connected Components Analysis.
Int. J. Pattern Recognit. Artif. Intell.
Jae Young Choi, Taeg Keun Whangbo, Young-Gyu Yang, Murlikrishna Viswanathan, Nak-Bin Kim
2005 — ch.
Designing Robust Regression Models.
Foundations of Data Mining and knowledge Discovery
Murlikrishna Viswanathan, Kotagiri Ramamohanarao
2005 — conf
Development of Incident Detection Model Using Neuro-Fuzzy Algorithm.
ACIS-ICIS
Seung-Heon Lee, Jin-Woo Choi, Nam-Kwan Hong, Murlikrishna Viswanathan, Young-Kyu Yang
2005 — conf
Distributed Data Mining on Clusters with Bayesian Mixture Modeling.
FSKD (1)
Murlikrishna Viswanathan, Young-Gyu Yang, Taeg Keun Whangbo
2005 — conf
Knowledge-Based Compliance Management Systems - Methodology and Implementation.
ACIS-ICIS
Murlikrishna Viswanathan, Young-Gyu Yang, Taeg Keun Whangbo, Nak-Bin Kim, Brian Garner
2005 — conf
Pose-Invariant Face Recognition Using Deformation Analysis.
BVAI
Taeg Keun Whangbo, Jae Young Choi, Murlikrishna Viswanathan, Nak-Bin Kim, Young-Gyu Yang
2005 — conf
Robust Face Recognition from Images with Varying Pose.
ICIAR
Jae Young Choi, Murlikrishna Viswanathan, Taeg Keun Whangbo, Young-Gyu Yang, Nak-Bin Kim
2005 C conf
Sketch map generation method using leveled spatial indexing technique in a mobile environment.
IGARSS
Yong-Uk So, Ki-Jung Lee, Murlikrishna Viswanathan, Young-Kyu Yang, Taeg Keun Whangbo
2003 C conf
An Optimal Approach to Mining Boolean Functions from Noisy Data.
IDEAL
Murlikrishna Viswanathan, Chris S. Wallace
1999 A conf
A note on the comparison of polynomial selection methods.
AISTATS
Murlikrishna Viswanathan, Chris S. Wallace
1999 — conf
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.
Australian Joint Conference on Artificial Intelligence
Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb
1998 — conf
Classification Learning Using All Rules.
ECML
Murlikrishna Viswanathan, Geoffrey I. Webb