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Robi Polikar

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

54

Venues

12

Active years

1999–2025

Best venue rank

A*

Where they publish

Papers

54 indexed papers, newest first.

YearVenueTitleAuthors
2025IJCNNLabeler-Dependent Noise with Adversarial Awareness.Vincent Agostino Del Tufo, Glenn Dawson, Robi Polikar
2021IJCNNOpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking.Glenn Dawson, Robi Polikar
2021IJCNNAdversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models.Muhammad Umer, Robi Polikar
2020IJCNNTargeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks.Muhammad Umer, Glenn Dawson, Robi Polikar
2019IJCNNVulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks.Muhammad Umer, Christopher Frederickson, Robi Polikar
2018IJCNNAttack Strength vs. Detectability Dilemma in Adversarial Machine Learning.Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar
2018IJCNNResampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance.Christopher Frederickson, Robi Polikar
2017IJCNNLEVELIW: Learning extreme verification latency with importance weighting.Muhammad Umer, Robi Polikar, Christopher Frederickson
2016IJCNNNon-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation.Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh
2015ICASSPConstrained state estimation in particle filters.Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg
2015IJCNNQuantifying the limited and gradual concept drift assumption.Joseph Sarnelle, Anthony Sanchez, Robert Capo, Joshua Haas, Robi Polikar
2014CIDMScaling a neyman-pearson subset selection approach via heuristics for mining massive data.Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar
2014IJCNNCore support extraction for learning from initially labeled nonstationary environments using COMPOSE.Robert Capo, Anthony Sanchez, Robi Polikar
2014IJCNNDomain adaptation bounds for multiple expert systems under concept drift.Gregory Ditzler, Gail L. Rosen, Robi Polikar
2014IJCNNOptimal Bayesian classification in nonstationary streaming environments.Jehandad Khan, Nidhal Bouaynaya, Robi Polikar
2013IJCNNActive learning in nonstationary environments.Robert Capo, Karl B. Dyer, Robi Polikar
2013IJCNNIncremental learning of new classes from unbalanced data.Gregory Ditzler, Gail Rosen, Robi Polikar
2013ISCASA freshman level module in biometric systems.Sara H. Davis, Megan N. Frankle, Ravi Prakash Ramachandran, Kevin D. Dahm, Robi Polikar
2012ICASSPForensic identification with environmental samples.Gregory Ditzler, Gail Rosen, Robi Polikar
2012IJCNNTransductive learning algorithms for nonstationary environments.Gregory Ditzler, Gail L. Rosen, Robi Polikar
2012IJCNNSemi-supervised learning in initially labeled non-stationary environments with gradual drift.Karl B. Dyer, Robi Polikar
2012ISCASOpen-ended design and performance evaluation of a biometric speaker identification system.Ravi Prakash Ramachandran, Robi Polikar, Kevin D. Dahm, Sachin S. Shetty
2011ICDMHeuristic Updatable Weighted Random Subspaces for Non-stationary Environments.T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar
2011IJCNNSemi-supervised learning in nonstationary environments.Gregory Ditzler, Robi Polikar
2010CECOptimal nu-SVM parameter estimation using multi objective evolutionary algorithms.James Ethridge, Gregory Ditzler, Robi Polikar
2010ICPRAn Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance.Gregory Ditzler, Robi Polikar, Nitesh V. Chawla
2010IJCNNAn ensemble based incremental learning framework for concept drift and class imbalance.Gregory Ditzler, Robi Polikar
2010IJCNNNeural network-based taxonomic clustering for metagenomics.Steven D. Essinger, Robi Polikar, Gail L. Rosen
2009HCIFunctional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach.Anna Caterina Merzagora, Meltem Izzetoglu, Robi Polikar, Valerie Weisser, Banu Onaral, Maria T. Schultheis
2009IJCNNIncremental learning in nonstationary environments with controlled forgetting.Ryan Elwell, Robi Polikar
2008CVPRMargin-based discriminant dimensionality reduction for visual recognition.Hakan Cevikalp, Bill Triggs, Frdric Jurie, Robi Polikar
2008ICMLNearest hyperdisk methods for high-dimensional classification.Hakan Cevikalp, Bill Triggs, Robi Polikar
2008ICPRIncremental learning in non-stationary environments with concept drift using a multiple classifier based approach.Matthew T. Karnick, Michael Muhlbaier, Robi Polikar
2008IJCNNLearning concept drift in nonstationary environments using an ensemble of classifiers based approach.Matthew T. Karnick, Metin Ahiskali, Michael Muhlbaier, Robi Polikar
2007IJCNNEnsemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease.Brian A. Balut, Matthew T. Karnick, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2007IJCNNRandom Feature Subset Selection for Analysis of Data with Missing Features.Joseph DePasquale, Robi Polikar
2006ICANNCan AdaBoost.M1 Learn Incrementally? A Comparison to LearnHussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
2006ICASSPMajority Vote and Decision Template Based Ensemble Classifiers Trained on Event Related Potentials for Early Diagnosis of Alzheimer's Disease.Nicholas Stepenosky, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2006IJCNNEnsemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease.Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher M. Clark
2006SMCComparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments.Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
2005ICANNReducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.Zeki Erdem, Robi Polikar, Fikret S. Grgen, Nejat Yumusak
2005ICASSPMultiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease.Genevieve Jacques, Jennifer Frymiare, John Kounios, Christopher M. Clark, Robi Polikar
2005IJCNNDynamically weighted majority voting for incremental learning and comparison of three boosting based approaches.Aliasgar Gangardiwala, Robi Polikar
2004IJCNNIncremental learning from unbalanced data.Michael Muhlbaier, Apostolos Topalis, Robi Polikar
2004SMCCombining classifiers for multisensor data fusion.Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
2003ICANNConfidence Estimation Using the Incremental Learning Algorithm, Learn++.Jeffrey Byorick, Robi Polikar
2003IJCNNAn ensemble of classifiers approach for the missing feature problem.Stefan Krause, Robi Polikar
2003IJCNNEnsemble of classifiers based incremental learning with dynamic voting weight update.Robi Polikar, Stefan Krause, Lyndsay Burd
2001ICASSPAdaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection.Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
2001ICASSPAdaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection.Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
2001ICASSPDetection and identification of odorants using an electronic nose.Robi Polikar, Ruth Shinar, Vasant G. Honavar, Lalita Udpa, Marc D. Porter
2000ICASSPLEARN++: an incremental learning algorithm for multilayer perceptron networks.Robi Polikar, Lalita Udpa, Satish S. Udpa, Vasant G. Honavar
2000ICASSPFuzzy ARTMAP network with evolutionary learning.Pradeep Ramuhalli, Robi Polikar, Lalita Udpa, Satish S. Udpa
1999IJCNNNonlinear cluster transformations for increasing pattern separability.Robi Polikar, Lalita Udpa, Satish S. Udpa