Narayanan U Edakunni
Narayanan U Edakunni
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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
The Journal of Machine Learning Research 14 (1), 1033-1090, 2013
Cost-sensitive boosting algorithms: Do we really need them?
N Nikolaou, N Edakunni, M Kull, P Flach, G Brown
Machine Learning 104 (2), 359-384, 2016
Predicting arrival times of vehicles based upon observed schedule adherence
A Tripathi, V Rajan, NU Edakunni
US Patent 9,159,032, 2015
Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.
NU Edakunni, S Schaal, S Vijayakumar
IJCAI, 762-767, 2007
Boosting as a Product of Experts
NU Edakunni, G Brown, T Kovacs
Uncertainty in Artificial Intelligence, 187-194, 2011
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
Efficient online classification using an ensemble of bayesian linear logistic regressors
NU Edakunni, S Vijayakumar
International Workshop on Multiple Classifier Systems, 102-111, 2009
Method and system for scheduling vehicles along routes in a transportation system
K Mukherjee, A Kumar, P Manohar, NU Edakunni, S Jat
US Patent 9,746,332, 2017
Method and system for predicting demand for vehicles
NU Edakunni, A Raghunathan
US Patent 10,102,485, 2018
Method and system to predict a communication channel for communication with a customer service
NU Edakunni, S Galhotra
US Patent App. 15/077,085, 2017
Systems and methods for real-time scheduling in a transportation system based upon a user criteria
NU Edakunni, K Baruah
US Patent 11,127,100, 2021
Methods and systems for analyzing customer care data
G Manjunath, A Sharma, NU Edakunni, D Gupta, M Gupta, S Kunde, ...
US Patent App. 15/064,642, 2017
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
Bayesian locally weighted online learning
NU Edakunni
The University of Edinburgh, 2010
Method and system for real time management of transportation services
NU Edakunni, BS Solanki, T Tulabandhula, T Bhattacharya
US Patent 10,957,001, 2021
Use of gps signals from multiple vehicles for robust vehicle tracking
A Sengupta, NU Edakunni
US Patent App. 15/443,295, 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
Method and system for real-time prediction of crowdedness in vehicles in transit
A Sengupta, K Baruah, S Sankhya, NU Edakunni
US Patent App. 15/271,249, 2018
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
Simple is better: Making Decision Trees faster using random sampling
VN Kumar, NU Edakunni
arXiv preprint arXiv:2108.08790, 2021
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