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Chandra Kambhampati
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2020 – today
- 2024
- [j16]Yangyimin Xue
, Chandrasekhar Kambhampati, Yongqiang Cheng, Nishikant Mishra, Nur Wulandhari, Pauline Deutz:
A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy. Int. J. Comput. Intell. Syst. 17(1): 8 (2024) - [i1]Samuel Rose
Classifying Graphemes in English Words Through the Application of a Fuzzy Inference System. CoRR abs/2404.01953 (2024) - 2022
- [j15]Ming Hou
Locally fitting hyperplanes to high-dimensional data. Neural Comput. Appl. 34(11): 8885-8896 (2022) - 2020
- [c20]Asmaa Alabed, Chandrasekhar Kambhampati, Neil A. Gordon
Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. SAI (2) 2020: 531-543
2010 – 2019
- 2017
- [c19]John Stamford, Chandra Kambhampati:
Discriminative and Generative Models for Clinical Risk Estimation: An Empirical Comparison. ICCSW 2017: 5:1-5:9 - 2016
- [c18]Mohammad Al Khaldy
Performance Analysis of Various Missing Value Imputation Methods on Heart Failure Dataset. IntelliSys (2) 2016: 415-425 - 2014
- [j14]Nongnuch Poolsawad, Lisa Moore, Chandrasekhar Kambhampati
Issues in the Mining of Heart Failure Datasets. Int. J. Autom. Comput. 11(2): 162-179 (2014) - [c17]Jan Bohacik, Chandra Kambhampati
Use of cumulative information estimations for risk assessment of heart failure patients. FUZZ-IEEE 2014: 1402-1407 - [c16]Lisa Moore, Chandra Kambhampati
Classification of a real live heart failure clinical dataset- Is TAN Bayes better than other Bayes? SMC 2014: 882-887 - 2013
- [j13]Jan Bohacik, Chandrasekhar Kambhampati, Darryl N. Davis
Prediction of mortality rates in heart failure patients with data mining methods. Ann. UMCS Informatica 13(2): 7-16 (2013) - [c15]Jan Bohacik, Chandra Kambhampati
Analysis of Fuzzy Decision Trees on Expert Fuzzified Heart Failure Data. SMC 2013: 350-355 - [c14]Lisa Moore, Chandrasekhar Kambhampati
The Effect of Features Using Feature Selection for Bayesian Classifier. SMC 2013: 4641-4646 - 2012
- [c13]Y. Zhang, Chandrasekhar Kambhampati
A comparative study of missing value imputation with multiclass classification for clinical heart failure data. FSKD 2012: 2840-2844 - [c12]Nongnuch Poolsawad, Lisa Moore, Chandrasekhar Kambhampati
Handling missing values in data mining - A case study of heart failure dataset. FSKD 2012: 2934-2938 - 2010
- [c11]Chandrasekhar Kambhampati, Mayur Sarangdhar, Nongnuch Poolsawad:
Dysphonia Measures in Parkinson's Disease and Their use in Prediction of Its Progression . KEOD 2010: 104-109
2000 – 2009
- 2008
- [j12]Mayur Sarangdhar, Chandrasekhar Kambhampati:
Spiking Neurons and Synaptic Stimuli: Determining the Fidelity of Coincidence-Factor in Neural Response Comparison. Eng. Lett. 16(4): 512-517 (2008) - [j11]Charlotte Bean
Autonomous clustering using rough set theory. Int. J. Autom. Comput. 5(1): 90-102 (2008) - [j10]Woakil Uddin Ahamed, Chandra Kambhampati
Stable quantum filters with scattering phenomena. Int. J. Autom. Comput. 5(2): 132-137 (2008) - [c10]Mayur Sarangdhar, Chandrasekhar Kambhampati
Spiking Neurons and Synaptic Stimuli: Neural Response Comparison Using Coincidence-Factor. World Congress on Engineering (Selected Papers) 2008: 681-692 - 2007
- [j9]Ronald J. Patton, Chandrasekhar Kambhampati
A Generic Strategy for Fault-Tolerance in Control Systems Distributed Over a Network. Eur. J. Control 13(2-3): 280-296 (2007) - [c9]Ping Zhang
Adaptive and Cooperative Sampling in Networked Control Systems. ICNSC 2007: 398-403 - [c8]Supat Klinkhieo, Chandra Kambhampati
Fault Tolerant Control in NCS Medium Access Constraints. ICNSC 2007: 416-423 - 2006
- [c7]Supat Klinkhieo, Chandra Kambhampati
Information Packets and MPC Enable Fault-tolerance in Network Control. ETFA 2006: 689-694 - 2005
- [j8]Chandra Kambhampati
Robots and sensors for landmine detection. Int. J. Syst. Sci. 36(9): 509 (2005) - 2003
- [j7]Chandra Kambhampati
A human motor control perspective to multiple manipulator modelling. Biol. Cybern. 89(4): 254-263 (2003) - [j6]Chandrasekhar Kambhampati
Multiple manipulator control from a human motor-control perspective. IEEE Trans. Robotics Autom. 19(3): 433-442 (2003) - [c6]S. Rajasekharan, Chandra Kambhampati:
The current opinion on the use of rohots for landmine detection. ICRA 2003: 4252-4257 - 2002
- [c5]C. L. Bean, Chandra Kambhampati, S. Rajasekharan:
A rough set solution to a fuzzy set problem. FUZZ-IEEE 2002: 18-23 - 2001
- [c4]Chandra Kambhampati, S. Rajasekharan:
Decentralised fuzzy control of multi-robot systems using LMIs. CDC 2001: 3968-3969 - [c3]Chandrasekhar Kambhampati, S. Rajasekharan:
Modelling multiple robot manipulators handling a common object: a human motor control perspective. SMC 2001: 3435-3440 - 2000
- [j5]Chandrasekhar Kambhampati
A stable one-step-ahead predictive control of non-linear systems. Autom. 36(4): 485-495 (2000) - [c2]Chandra Kambhampati, F. Garces, Kevin Warwick:
Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks. IJCNN (1) 2000: 64-69
1990 – 1999
- 1999
- [j4]A. Tsoularis, Chandra Kambhampati:
Avoiding Moving Obstacles by Deviation from a Mobile Robot's Nominal Path. Int. J. Robotics Res. 18(5): 454-465 (1999) - 1998
- [j3]A. Tsoularis, Chandra Kambhampati:
On-line Planning for Collision Avoidance on the Nominal Path. J. Intell. Robotic Syst. 21(4): 327-371 (1998) - 1996
- [j2]Chandra Kambhampati
The relative order and inverses of recurrent networks. Autom. 32(1): 117-123 (1996) - [c1]A. Delgado, Chandrasekhar Kambhampati, Kevin Warwick:
Dynamic input/output linearization using recurrent neural networks. ICNN 1996: 1721-1726
1980 – 1989
- 1989
- [j1]Chandra Kambhampati
Generalization of integrated system optimization and parameter estimation techniques. Autom. 25(2): 307-310 (1989)
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