Dynamic fusion of classifiers for fault diagnosis. - Satnam Singh; Kihoon Choi; Anuradha Kodali; Krishna R. Pattipati; Setu Madhavi Namburu; Shunsuke Chigusa; Danil V. Prokhorov; Liu Qiao (SMC, 2007)

An Integrated Diagnostic Process for Automotive Systems. - Krishna R. Pattipati; Anuradha Kodali; Jianhui Luo; Kihoon Choi; Satnam Singh; Chaitanya Sankavaram; Suvasri Mandal; William Donat; Setu Madhavi Namburu; Shunsuke Chigusa; Liu Qiao (Computational Intelligence in Automotive Applications, 2008)

Model-based and data-driven prognosis of automotive and electronic systems. - Chaitanya Sankavaram; Bharath R. Pattipati; Anuradha Kodali; Krishna R. Pattipati; Mohammad Azam; Sachin Kumar 007; Michael G. Pecht (CASE, 2009)

A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faults. - Satnam Singh; Anuradha Kodali; Krishna R. Pattipati (CASE, 2009)

Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems. - Kihoon Choi; Satnam Singh; Anuradha Kodali; Krishna R. Pattipati; John W. Sheppard; Setu Madhavi Namburu; Shunsuke Chigusa; Danil V. Prokhorov; Liu Qiao (IEEE Trans. Instrum. Meas., 2009)

Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques. - Satnam Singh; Anuradha Kodali; Kihoon Choi; Krishna R. Pattipati; Setu Madhavi Namburu; S. C. Sean; Danil V. Prokhorov; Liu Qiao (IEEE Trans. Syst. Man Cybern. Part A, 2009)

An integrated health management process for automotive cyber-physical systems. - Chaitanya Sankavaram; Anuradha Kodali; Krishna R. Pattipati (ICNC, 2013)

Coupled Factorial Hidden Markov Models (CFHMM) for Diagnosing Multiple and Coupled Faults. - Anuradha Kodali; Krishna R. Pattipati; Satnam Singh (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Dynamic Set-Covering for Real-Time Multiple Fault Diagnosis With Delayed Test Outcomes. - Anuradha Kodali; Satnam Singh; Krishna R. Pattipati (IEEE Trans. Syst. Man Cybern. Syst., 2013)

An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization. - Rao K. Mallikharjuna; Anuradha Kodali (SEMCCO, 2014)

Incremental Classifiers for Data-Driven Fault Diagnosis Applied to Automotive Systems. - Chaitanya Sankavaram; Anuradha Kodali; Krishna R. Pattipati; Satnam Singh (IEEE Access, 2015)

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (GECCO, 2016)

Semantic Forward Propagation for Symbolic Regression. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (PPSN, 2016)

An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques. - Rao K. Mallikharjuna; Anuradha Kodali (J. Softw., 2017)

Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk. - Blake Wulfe; Sunil Chintakindi; Sou-Cheng T. Choi; Rory Hartong-Redden; Anuradha Kodali; Mykel J. Kochenderfer (AAMAS, 2018)

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. - Anuradha Kodali; Marcin Szubert; Kamalika Das; Sangram Ganguly; Joshua Clifford Bongard (PPSN (1), 2018)

Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework. - Konda Adilakshmi; Malladi Srinivas; Anuradha Kodali; V. Srilakshmi (J. Web Eng., 2023)