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Anuradha Kodali
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2020 – today
- 2023
- [j7]Konda Adilakshmi, Malladi Srinivas, Anuradha Kodali, V. Srilakshmi:
Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework. J. Web Eng. 22(8): 1101-1132 (2023)
2010 – 2019
- 2018
- [c9]Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer:
Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk. AAMAS 2018: 1087-1096 - [c8]Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard:
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. PPSN (1) 2018: 525-536 - [i1]Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer:
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk. CoRR abs/1802.01532 (2018) - 2017
- [j6]Rao K. Mallikharjuna, Anuradha Kodali:
An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques. J. Softw. 12(1): 1-8 (2017) - 2016
- [c7]Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. GECCO 2016: 797-804 - [c6]Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard:
Semantic Forward Propagation for Symbolic Regression. PPSN 2016: 364-374 - 2015
- [j5]Chaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati, Satnam Singh:
Incremental Classifiers for Data-Driven Fault Diagnosis Applied to Automotive Systems. IEEE Access 3: 407-419 (2015) - 2014
- [c5]Rao K. Mallikharjuna
, Anuradha Kodali:
An Efficient Method for Parameter Estimation of Software Reliability Growth Model Using Artificial Bee Colony Optimization. SEMCCO 2014: 765-776 - 2013
- [j4]Anuradha Kodali, Krishna R. Pattipati, Satnam Singh:
Coupled Factorial Hidden Markov Models (CFHMM) for Diagnosing Multiple and Coupled Faults. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 522-534 (2013) - [j3]Anuradha Kodali, Satnam Singh, Krishna R. Pattipati:
Dynamic Set-Covering for Real-Time Multiple Fault Diagnosis With Delayed Test Outcomes. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 547-562 (2013) - [c4]Chaitanya Sankavaram, Anuradha Kodali, Krishna R. Pattipati:
An integrated health management process for automotive cyber-physical systems. ICNC 2013: 82-86
2000 – 2009
- 2009
- [j2]Kihoon Choi, Satnam Singh, Anuradha Kodali, Krishna R. Pattipati, John W. Sheppard
Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems. IEEE Trans. Instrum. Meas. 58(3): 602-611 (2009) - [j1]Satnam Singh, Anuradha Kodali, Kihoon Choi, Krishna R. Pattipati, Setu Madhavi Namburu, S. C. Sean, Danil V. Prokhorov
Dynamic Multiple Fault Diagnosis: Mathematical Formulations and Solution Techniques. IEEE Trans. Syst. Man Cybern. Part A 39(1): 160-176 (2009) - [c3]Chaitanya Sankavaram, Bharath R. Pattipati, Anuradha Kodali, Krishna R. Pattipati, Mohammad Azam, Sachin Kumar, Michael G. Pecht
Model-based and data-driven prognosis of automotive and electronic systems. CASE 2009: 96-101 - [c2]Satnam Singh, Anuradha Kodali, Krishna R. Pattipati:
A factorial hidden markov model (FHMM)-based reasoner for diagnosing multiple intermittent faults. CASE 2009: 146-151 - 2008
- [p1]Krishna R. Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram, Suvasri Mandal, William Donat, Setu Madhavi Namburu, Shunsuke Chigusa, Liu Qiao:
An Integrated Diagnostic Process for Automotive Systems. Computational Intelligence in Automotive Applications 2008: 191-218 - 2007
- [c1]Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishna R. Pattipati, Setu Madhavi Namburu, Shunsuke Chigusa, Danil V. Prokhorov
Dynamic fusion of classifiers for fault diagnosis. SMC 2007: 2467-2472
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