Chandra Kambhampati

According to our database, Chandra Kambhampati authored at least 38 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy.

Yangyimin Xue, Chandrasekhar Kambhampati, Yongqiang Cheng, Nishikant Mishra, Nur Wulandhari, Pauline Deutz

Int. J. Comput. Intell. Syst., December, 2024

Classifying Graphemes in English Words Through the Application of a Fuzzy Inference System.

Samuel Rose, Chandrasekhar Kambhampati

CoRR, 2024

2022

Locally fitting hyperplanes to high-dimensional data.

Ming Hou, Chandra Kambhampati

Neural Comput. Appl., 2022

2020

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease.

Asmaa Alabed, Chandrasekhar Kambhampati, Neil A. Gordon

Proceedings of the Intelligent Computing, 2020

2017

Discriminative and Generative Models for Clinical Risk Estimation: An Empirical Comparison.

John Stamford, Chandra Kambhampati

Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

2016

Performance Analysis of Various Missing Value Imputation Methods on Heart Failure Dataset.

Mohammad Al Khaldy, Chandrasekhar Kambhampati

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2014

Issues in the Mining of Heart Failure Datasets.

Nongnuch Poolsawad, Lisa Moore, Chandrasekhar Kambhampati, John G. F. Cleland

Int. J. Autom. Comput., 2014

Classification of a real live heart failure clinical dataset- Is TAN Bayes better than other Bayes?

Lisa Moore, Chandra Kambhampati, John G. F. Cleland

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Use of cumulative information estimations for risk assessment of heart failure patients.

Jan Bohacik, Chandra Kambhampati, Darryl N. Davis, John G. F. Cleland

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Prediction of mortality rates in heart failure patients with data mining methods.

Jan Bohacik, Chandrasekhar Kambhampati, Darryl N. Davis, John G. F. Cleland

Ann. UMCS Informatica, 2013

The Effect of Features Using Feature Selection for Bayesian Classifier.

Lisa Moore, Chandrasekhar Kambhampati

Proceedings of the IEEE International Conference on Systems, 2013

Analysis of Fuzzy Decision Trees on Expert Fuzzified Heart Failure Data.

Jan Bohacik, Chandra Kambhampati, Darryl N. Davis, John G. F. Cleland

Proceedings of the IEEE International Conference on Systems, 2013

2012

A comparative study of missing value imputation with multiclass classification for clinical heart failure data.

Y. Zhang, Chandrasekhar Kambhampati, Darryl N. Davis, Kevin M. Goode, John G. F. Cleland

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Handling missing values in data mining - A case study of heart failure dataset.

Nongnuch Poolsawad, Lisa Moore, Chandrasekhar Kambhampati, John G. F. Cleland

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2010

Dysphonia Measures in Parkinson's Disease and Their use in Prediction of Its Progression .

Chandrasekhar Kambhampati, Mayur Sarangdhar, Nongnuch Poolsawad

Proceedings of the KEOD 2010, 2010

2008

Autonomous clustering using rough set theory.

Charlotte Bean, Chandra Kambhampati

Int. J. Autom. Comput., 2008

Stable quantum filters with scattering phenomena.

Woakil Uddin Ahamed, Chandra Kambhampati

Int. J. Autom. Comput., 2008

Spiking Neurons and Synaptic Stimuli: Determining the Fidelity of Coincidence-Factor in Neural Response Comparison.

Mayur Sarangdhar, Chandrasekhar Kambhampati

Eng. Lett., 2008

Spiking Neurons and Synaptic Stimuli: Neural Response Comparison Using Coincidence-Factor.

Mayur Sarangdhar, Chandrasekhar Kambhampati

Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

2007

A Generic Strategy for Fault-Tolerance in Control Systems Distributed Over a Network.

Ronald J. Patton, Chandrasekhar Kambhampati, Alessandro Casavola, Ping Zhang, Steven X. Ding, Dominique Sauter

Eur. J. Control, 2007

Adaptive and Cooperative Sampling in Networked Control Systems.

Ping Zhang, Steven X. Ding, Ronald J. Patton, Chandra Kambhampati

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

Fault Tolerant Control in NCS Medium Access Constraints.

Supat Klinkhieo, Chandra Kambhampati, Ronald J. Patton

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

2006

Information Packets and MPC Enable Fault-tolerance in Network Control.

Supat Klinkhieo, Chandra Kambhampati, Ronald J. Patton

Proceedings of 11th IEEE International Conference on Emerging Technologies and Factory Automation, 2006

2005

Robots and sensors for landmine detection.

Chandra Kambhampati, S. Rajasekharan

Int. J. Syst. Sci., 2005

2003

Multiple manipulator control from a human motor-control perspective.

Chandrasekhar Kambhampati, S. Rajasekharan

IEEE Trans. Robotics Autom., 2003

A human motor control perspective to multiple manipulator modelling.

Chandra Kambhampati, S. Rajasekharan

Biol. Cybern., 2003

Knowledge-oriented clustering for decision support.

C. L. Bean, Chandrasekhar Kambhampati

Proceedings of the International Joint Conference on Neural Networks, 2003

The current opinion on the use of rohots for landmine detection.

S. Rajasekharan, Chandra Kambhampati

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002

A rough set solution to a fuzzy set problem.

C. L. Bean, Chandra Kambhampati, S. Rajasekharan

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

Modelling multiple robot manipulators handling a common object: a human motor control perspective.

Chandrasekhar Kambhampati, S. Rajasekharan

Proceedings of the IEEE International Conference on Systems, 2001

Decentralised fuzzy control of multi-robot systems using LMIs.

Chandra Kambhampati, S. Rajasekharan

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000

A stable one-step-ahead predictive control of non-linear systems.

Chandrasekhar Kambhampati, J. D. Mason, Kevin Warwick

Autom., 2000

Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks.

Chandra Kambhampati, F. Garces, Kevin Warwick

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Avoiding Moving Obstacles by Deviation from a Mobile Robot's Nominal Path.

A. Tsoularis, Chandra Kambhampati

Int. J. Robotics Res., 1999

1998

On-line Planning for Collision Avoidance on the Nominal Path.

A. Tsoularis, Chandra Kambhampati

J. Intell. Robotic Syst., 1998

1996

The relative order and inverses of recurrent networks.

Chandra Kambhampati, S. Manchanda, A. Delgado, Gary G. R. Green, Kevin Warwick, M. T. Tham

Autom., 1996

Dynamic input/output linearization using recurrent neural networks.

A. Delgado, Chandrasekhar Kambhampati, Kevin Warwick

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1989

Generalization of integrated system optimization and parameter estimation techniques.

Chandra Kambhampati, J. E. Ellis, Peter D. Roberts

Autom., 1989