Anuradha Kodali

19 papers A 3B 1Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
ExpCoot_DQNN: a novel deep quantum neural network approach for incremental on Amazon reviews.
Int. J. Ad Hoc Ubiquitous Comput.
Konda Adilakshmi, Malladi Srinivas, Anuradha Kodali, V. Srilakshmi
2023 J jnl
Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework.
J. Web Eng.
Konda Adilakshmi, Malladi Srinivas, Anuradha Kodali, V. Srilakshmi
2018 A conf
Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk.
AAMAS
Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer
2018 J jnl
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk.
CoRR
Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer
2018 — conf
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis.
PPSN (1)
Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard
2017 J jnl
An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques.
J. Softw.
Rao K. Mallikharjuna, Anuradha Kodali
2016 A conf
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming.
GECCO
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
2016 A conf
Semantic Forward Propagation for Symbolic Regression.
PPSN
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
2015 J jnl
Incremental Classifiers for Data-Driven Fault Diagnosis Applied to Automotive Systems.
IEEE Access
Chaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati, Satnam Singh
2014 — conf
An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization.
SEMCCO
Rao K. Mallikharjuna, Anuradha Kodali
2013 Misc conf
An integrated health management process for automotive cyber-physical systems.
ICNC
Chaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati
2013 J jnl
Coupled Factorial Hidden Markov Models (CFHMM) for Diagnosing Multiple and Coupled Faults.
IEEE Trans. Syst. Man Cybern. Syst.
Anuradha Kodali, Krishna R. Pattipati, Satnam Singh
2013 J jnl
Dynamic Set-Covering for Real-Time Multiple Fault Diagnosis With Delayed Test Outcomes.
IEEE Trans. Syst. Man Cybern. Syst.
Anuradha Kodali, Satnam Singh, Krishna R. Pattipati
2009 — conf
A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faults.
CASE
Satnam Singh, Anuradha Kodali, Krishna R. Pattipati
2009 J jnl
Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques.
IEEE Trans. Syst. Man Cybern. Part A
Satnam Singh, Anuradha Kodali, Kihoon Choi, Krishna R. Pattipati, Setu Madhavi Namburu, S. C. Sean, Danil V. Prokhorov, Liu Qiao
2009 — conf
Model-based and data-driven prognosis of automotive and electronic systems.
CASE
Chaitanya Sankavaram, Bharath R. Pattipati, Anuradha Kodali, Krishna R. Pattipati, Mohammad Azam, Sachin Kumar, Michael G. Pecht
2009 J jnl
Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems.
IEEE Trans. Instrum. Meas.
Kihoon Choi, Satnam Singh, Anuradha Kodali, Krishna R. Pattipati, John W. Sheppard, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao
2008 — ch.
An Integrated Diagnostic Process for Automotive Systems.
Computational Intelligence in Automotive Applications
Krishna R. Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram, Suvasri Mandal, William Donat, Setu Madhavi Namburu, Shunsuke Chigusa, Liu Qiao
2007 B conf
Dynamic fusion of classifiers for fault diagnosis.
SMC
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov, Liu Qiao