K. Subramanian

Orcid: 0000-0002-5979-797X

Affiliations:
  • Nanyang Technological University, School of Computer Engineering, Singapore


According to our database1, K. Subramanian authored at least 27 papers between 2011 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2016
Extended Metacognitive Neuro-Fuzzy Inference System for Biometric Identification.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Development of a Self-Regulating Evolving Spiking Neural Network for classification problem.
Neurocomputing, 2016

Initial investigation of speech synthesis based on complex-valued neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
An Evolving Interval Type-2 Neurofuzzy Inference System and Its Metacognitive Sequential Learning Algorithm.
IEEE Trans. Fuzzy Syst., 2015

Multi-UAV Task Allocation: A Team-Based Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Adaptive Neuro-Fuzzy Controller for Multi-object Tracker.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Evolving Complex-Valued Interval Type-2 Fuzzy Inference System.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Automatic seizure detection in multichannel EEG using McCIT2FIS approach.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

HumanCog: A cognitive architecture for solving optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Meta-cognitive learning algorithm for neuro-fuzzy inference systems
PhD thesis, 2014

A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System.
IEEE Trans. Neural Networks Learn. Syst., 2014

A complex-valued neuro-fuzzy inference system and its learning mechanism.
Neurocomputing, 2014

A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm.
Evol. Syst., 2014

Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

An optical flow feature and McFIS based approach for 3-dimensional human action recognition.
Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems.
IEEE Trans. Fuzzy Syst., 2013

Zero-Error Density Maximization based learning algorithm for a neuro-fuzzy inference system.
Proceedings of the FUZZ-IEEE 2013, 2013

A projection based learning algorithm for Meta-Cognitive Neuro-Fuzzy Inference system.
Proceedings of the FUZZ-IEEE 2013, 2013

A Meta-cognitive Interval Type-2 fuzzy inference system classifier and its projection based learning algorithm.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012
Human Action Recognition using Meta-Cognitive Neuro-Fuzzy Inference System.
Int. J. Neural Syst., 2012

A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system.
Appl. Soft Comput., 2012

Complex-Valued Neuro-Fuzzy Inference System Based Classifier.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Complex-valued neuro-fuzzy inference system for wind prediction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011


  Loading...