Robi Polikar
Orcid: 0000-0002-2739-4228
According to our database1,
Robi Polikar
authored at least 99 papers
between 1999 and 2023.
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Bibliography
2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
CoRR, 2021
Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models.
Proceedings of the International Joint Conference on Neural Networks, 2021
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data.
IEEE Trans. Neural Networks Learn. Syst., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Core support extraction for learning from initially labeled nonstationary environments using COMPOSE.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013
2012
Prog. Artif. Intell., 2012
Open-ended design and performance evaluation of a biometric speaker identification system.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Semi-supervised learning in initially labeled non-stationary environments with gradual drift.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
2011
IEEE Trans. Neural Networks, 2011
IEEE Trans. Neural Networks, 2011
Information-theoretic approaches to SVM feature selection for metagenome read classification.
Comput. Biol. Chem., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2011
2010
Pattern Recognit., 2010
Incremental Learning of New Classes in Unbalanced Datasets: Learn<sup> + + </sup>.UDNC.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
An ensemble based incremental learning framework for concept drift and class imbalance.
Proceedings of the International Joint Conference on Neural Networks, 2010
An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010
2009
Learn<sup>++</sup>.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes.
IEEE Trans. Neural Networks, 2009
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009
2008
IEEE Trans. Neural Networks, 2008
Inf. Fusion, 2008
Adv. Bioinformatics, 2008
Learning concept drift in nonstationary environments using an ensemble of classifiers based approach.
Proceedings of the International Joint Conference on Neural Networks, 2008
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the Machine Learning, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
IEEE Signal Process. Mag., 2007
Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease.
Comput. Biol. Medicine, 2007
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments.
Proceedings of the IEEE International Conference on Systems, 2006
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease.
Proceedings of the International Joint Conference on Neural Networks, 2006
Majority Vote and Decision Template Based Ensemble Classifiers Trained on Event Related Potentials for Early Diagnosis of Alzheimer's Disease.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn<sup>++</sup> Under Different Combination Rules.
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
IEEE Trans. Instrum. Meas., 2005
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005
Proceedings of the Computer and Information Sciences, 2005
Multiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004
2003
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2001
IEEE Trans. Syst. Man Cybern. Part C, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999