Anuradha Kodali - researchr alias

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Viewing Publication 1 - 17 from 17

2023

Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce FrameworkKonda Adilakshmi, Malladi Srinivas, Anuradha Kodali, V. Srilakshmi. jwe, 22(8):1101-1132, 2023. [doi]

2018

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree AnalysisAnuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard. ppsn 2018: 525-536 [doi]

Real-Time Prediction of Intermediate-Horizon Automotive Collision RiskBlake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer. atal 2018: 1087-1096 [doi]

2017

An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization TechniquesRao K. Mallikharjuna, Anuradha Kodali. jsw, 12(1):1-8, 2017. [doi]

2016

Semantic Forward Propagation for Symbolic RegressionMarcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard. ppsn 2016: 364-374 [doi]

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic ProgrammingMarcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard. gecco 2016: 797-804 [doi]

2015

Incremental Classifiers for Data-Driven Fault Diagnosis Applied to Automotive SystemsChaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati, Satnam Singh. access, 3:407-419, 2015. [doi]

2014

An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony OptimizationRao K. Mallikharjuna, Anuradha Kodali. semcco 2015: 765-776 [doi]

2013

Dynamic Set-Covering for Real-Time Multiple Fault Diagnosis With Delayed Test OutcomesAnuradha Kodali, Satnam Singh, Krishna R. Pattipati. tsmc, 43(3):547-562, 2013. [doi]

Coupled Factorial Hidden Markov Models (CFHMM) for Diagnosing Multiple and Coupled FaultsAnuradha Kodali, Krishna R. Pattipati, Satnam Singh. tsmc, 43(3):522-534, 2013. [doi]

An integrated health management process for automotive cyber-physical systemsChaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati. iccnc 2013: 82-86 [doi]

2009

Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive SystemsKihoon Choi, Satnam Singh, Anuradha Kodali, Krishna R. Pattipati, John W. Sheppard, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao. tim, 58(3):602-611, 2009. [doi]

Model-based and data-driven prognosis of automotive and electronic systemsChaitanya Sankavaram, Bharath R. Pattipati, Anuradha Kodali, Krishna R. Pattipati, Mohammad Azam, Sachin Kumar, Michael Pecht. case 2009: 96-101 [doi]

Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution TechniquesSatnam Singh, Anuradha Kodali, Kihoon Choi, Krishna R. Pattipati, Setu Madhavi Namburu, S. C. Sean, Danil V. Prokhorov, Liu Qiao. tsmc, 39(1):160-176, 2009. [doi]

A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faultsSatnam Singh, Anuradha Kodali, Krishna R. Pattipati. case 2009: 146-151 [doi]

2008

An Integrated Diagnostic Process for Automotive SystemsKrishna R. Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram, Suvasri Mandal, William Donat, Setu Madhavi Namburu, Shunsuke Chigusa, Liu Qiao. In Danil V. Prokhorov, editor, Computational Intelligence in Automotive Applications. Volume 132 of Studies in Computational Intelligence, pages 191-218, Springer, 2008. [doi]

2007

Dynamic fusion of classifiers for fault diagnosisSatnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao. SMC 2007: 2467-2472 [doi]

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