Narayanan U Edakunni
Narayanan U Edakunni
Verified email at cs.man.ac.uk - Homepage
TitleCited byYear
Beyond Fano's inequality: bounds on the optimal F-score, BER, and cost-sensitive risk and their implications
MJ Zhao, N Edakunni, A Pocock, G Brown
Journal of Machine Learning Research 14 (Apr), 1033-1090, 2013
522013
Cost-sensitive boosting algorithms: Do we really need them?
N Nikolaou, N Edakunni, M Kull, P Flach, G Brown
Machine Learning 104 (2-3), 359-384, 2016
292016
Calculating noise from multiple digital images having a common noise source
EB Gindele, N Serrano, JC Snyder
US Patent 6,934,421, 2005
252005
Predicting arrival times of vehicles based upon observed schedule adherence
A Tripathi, V Rajan, NU Edakunni
US Patent 9,159,032, 2015
232015
Variable frequency switching amplifier and method therefor
W Roeckner, P Midya, G Buchwald
US Patent 6,819,912, 2004
212004
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.
NU Edakunni, S Schaal, S Vijayakumar
IJCAI, 762-767, 2007
142007
Anti-corrosion member for use in a vehicle wheel end assembly having an aluminum steering knuckle
ML Silvasi
US Patent 6,626,579, 2003
132003
Modeling UCS as a mixture of experts
NU Edakunni, T Kovacs, G Brown, JAR Marshall
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
102009
Boosting as a Product of Experts
NU Edakunni, G Brown, T Kovacs
Uncertainty in Artificial Intelligence, 187-194, 2011
92011
Efficient online classification using an ensemble of bayesian linear logistic regressors
NU Edakunni, S Vijayakumar
International Workshop on Multiple Classifier Systems, 102-111, 2009
62009
Online, GA based mixture of experts: a probabilistic model of UCS
NU Edakunni, G Brown, T Kovacs
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
22011
Bayesian locally weighted online learning
NU Edakunni
The University of Edinburgh, 2010
22010
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JM Parks
Journal of the American Chemical Society 131 (37), 13278-13285, 0
2
Systems and methods for real-time scheduling in a transportation system based upon a user criteria
NU Edakunni, K Baruah
US Patent App. 15/459,091, 2018
12018
Use of gps signals from multiple vehicles for robust vehicle tracking
A Sengupta, NU Edakunni
US Patent App. 15/443,295, 2018
12018
Accuracy exponentiation in UCS and its effect on voting margins
T Kovacs, N Edakunni, G Brown
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
12011
Method and system for predicting demand for vehicles
NU Edakunni, A Raghunathan
US Patent App. 16/122,965, 2019
2019
Method and system for predicting demand for vehicles
NU Edakunni, A Raghunathan
US Patent 10,102,485, 2018
2018
Method and system for real time management of transportation services
NU Edakunni, BS Solanki, T Tulabandhula, T Bhattacharya
US Patent App. 15/378,338, 2018
2018
Method and system for recommending one or more vehicles for one or more requestors
S Jat, K Mukherjee, NU Edakunni, P Manohar
US Patent 9,978,111, 2018
2018
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