Nonlinear cluster transformations for increasing pattern separability. - Robi Polikar; Lalita Udpa; Satish S. Udpa (IJCNN, 1999)

LEARN++: an incremental learning algorithm for multilayer perceptron networks. - Robi Polikar; Lalita Udpa; Satish S. Udpa; Vasant G. Honavar (ICASSP, 2000)

Fuzzy ARTMAP network with evolutionary learning. - Pradeep Ramuhalli; Robi Polikar; Lalita Udpa; Satish S. Udpa (ICASSP, 2000)

Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection. - Muhammad Afzal; Robi Polikar; Lalita Udpa; Satish S. Udpa (ICASSP, 2001)

Detection and identification of odorants using an electronic nose. - Robi Polikar; Ruth Shinar; Vasant G. Honavar; Lalita Udpa; Marc D. Porter (ICASSP, 2001)

Learn++: an incremental learning algorithm for supervised neural networks. - Robi Polikar; L. Upda; S. S. Upda; Vasant G. Honavar (IEEE Trans. Syst. Man Cybern. Part C, 2001)

Confidence Estimation Using the Incremental Learning Algorithm, Learn++. - Jeffrey Byorick; Robi Polikar (ICANN, 2003)

An ensemble of classifiers approach for the missing feature problem. - Stefan Krause; Robi Polikar (IJCNN, 2003)

Ensemble of classifiers based incremental learning with dynamic voting weight update. - Robi Polikar; Stefan Krause; Lyndsay Burd (IJCNN, 2003)

An Ensemble Approach for Data Fusion with Learn++. - Michael Lewitt; Robi Polikar (Multiple Classifier Systems, 2003)

Incremental learning from unbalanced data. - Michael Muhlbaier; Apostolos Topalis; Robi Polikar (IJCNN, 2004)

Learn++.MT: A New Approach to Incremental Learning. - Michael Muhlbaier; Apostolos Topalis; Robi Polikar (Multiple Classifier Systems, 2004)

Combining classifiers for multisensor data fusion. - Devi Parikh; Min T. Kim; Joseph Oagaro; Shreekanth Mandayam; Robi Polikar (SMC (2), 2004)

Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines. - Zeki Erdem; Robi Polikar; Fikret S. Gürgen; Nejat Yumusak (ICANN (2), 2005)

Multiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease. - Genevieve Jacques; Jennifer Frymiare; John Kounios; Christopher M. Clark; Robi Polikar (ICASSP (5), 2005)

Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches. - Aliasgar Gangardiwala; Robi Polikar (IJCNN, 2005)

Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks. - Zeki Erdem; Robi Polikar; Nejat Yumusak; Fikret S. Gürgen (ISCIS, 2005)

Ensemble of SVMs for Incremental Learning. - Zeki Erdem; Robi Polikar; Fikret S. Gürgen; Nejat Yumusak (Multiple Classifier Systems, 2005)

Ensemble Confidence Estimates Posterior Probability. - Michael Muhlbaier; Apostolos Topalis; Robi Polikar (Multiple Classifier Systems, 2005)

An architecture for intelligent systems based on smart sensors. - John L. Schmalzel; Fernando Figueroa; Jon Morris; Shreekanth Mandayam; Robi Polikar (IEEE Trans. Instrum. Meas., 2005)

Stacked Generalization for Early Diagnosis of Alzheimer's Disease. - Hardik Gandhi; Deborah Green; John Kounios; Christopher M. Clark; Robi Polikar (EMBC, 2006)

Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules. - Hussein Syed Mohammed; James Leander; Matthew Marbach; Robi Polikar (ICANN (1), 2006)

Majority 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 (ICASSP (5), 2006)

Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. - Nicholas Stepenosky; Robi Polikar; John Kounios; Christopher M. Clark (IJCNN, 2006)

Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments. - Hussein Syed Mohammed; James Leander; Matthew Marbach; Robi Polikar (SMC, 2006)

Ensemble 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 (IJCNN, 2007)

Random Feature Subset Selection for Analysis of Data with Missing Features. - Joseph DePasquale; Robi Polikar (IJCNN, 2007)

Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. - Joseph DePasquale; Robi Polikar (MCS, 2007)

An Ensemble Approach for Incremental Learning in Nonstationary Environments. - Michael Muhlbaier; Robi Polikar (MCS, 2007)

Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease. - Robi Polikar; Apostolos Topalis; Deborah Green; John Kounios; Christopher M. Clark (Comput. Biol. Medicine, 2007)

Bootstrap - Inspired Techniques in Computation Intelligence. - Robi Polikar (IEEE Signal Process. Mag., 2007)

An Ensemble-Based Incremental Learning Approach to Data Fusion. - Devi Parikh; Robi Polikar (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Margin-based discriminant dimensionality reduction for visual recognition. - Hakan Cevikalp; Bill Triggs; Frédéric Jurie; Robi Polikar (CVPR, 2008)

Nearest hyperdisk methods for high-dimensional classification. - Hakan Cevikalp; Bill Triggs; Robi Polikar (ICML, 2008)

Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. - Matthew T. Karnick; Michael Muhlbaier; Robi Polikar (ICPR, 2008)

Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. - Matthew T. Karnick; Metin Ahiskali; Michael Muhlbaier; Robi Polikar (IJCNN, 2008)

Metagenome Fragment Classification Using N-Mer Frequency Profiles. - Gail L. Rosen; Elaine Garbarine; Diamantino Caseiro; Robi Polikar; Bahrad A. Sokhansanj (Adv. Bioinformatics, 2008)

An ensemble based data fusion approach for early diagnosis of Alzheimer's disease. - Robi Polikar; Apostolos Topalis; Devi Parikh; Deborah Green; Jennifer Frymiare; John Kounios; Christopher M. Clark (Inf. Fusion, 2008)

Local Classifier Weighting by Quadratic Programming. - Hakan Cevikalp; Robi Polikar (IEEE Trans. Neural Networks, 2008)

Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach. - Anna Caterina Merzagora; Meltem Izzetoglu; Robi Polikar; Valerie Weisser; Banu Onaral; Maria T. Schultheis (HCI (16), 2009)

Incremental learning in nonstationary environments with controlled forgetting. - Ryan Elwell; Robi Polikar (IJCNN, 2009)

Incremental Learning of Variable Rate Concept Drift. - Ryan Elwell; Robi Polikar (MCS, 2009)

Ensemble learning. - Robi Polikar (Scholarpedia, 2009)

Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. - Michael D. Muhlbaier; Apostolos Topalis; Robi Polikar (IEEE Trans. Neural Networks, 2009)

Fusion methods for boosting performance of speaker identification systems. - Gregory Ditzler; James Ethridge; Ravi Prakash Ramachandran; Robi Polikar (APCCAS, 2010)

Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. - James Ethridge; Gregory Ditzler; Robi Polikar (IEEE Congress on Evolutionary Computation, 2010)

An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. - Gregory Ditzler; Robi Polikar; Nitesh V. Chawla (ICPR, 2010)

An ensemble based incremental learning framework for concept drift and class imbalance. - Gregory Ditzler; Robi Polikar (IJCNN, 2010)

Neural network-based taxonomic clustering for metagenomics. - Steven D. Essinger; Robi Polikar; Gail L. Rosen (IJCNN, 2010)

Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC. - Gregory Ditzler; Michael D. Muhlbaier; Robi Polikar (MCS, 2010)

Learn++.MF: A random subspace approach for the missing feature problem. - Robi Polikar; Joseph DePasquale; Hussein Syed Mohammed; Gavin Brown 001; Ludmila I. Kuncheva (Pattern Recognit., 2010)

Hellinger distance based drift detection for nonstationary environments. - Gregory Ditzler; Robi Polikar (CIDUE, 2011)

Ordering samples along environmental gradients using particle swarm optimization. - Steven D. Essinger; Robi Polikar; Gail Rosen (EMBC, 2011)

Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease. - Tyler Staudinger; Robi Polikar (EMBC, 2011)

Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments. - T. Ryan Hoens; Nitesh V. Chawla; Robi Polikar (ICDM, 2011)

Semi-supervised learning in nonstationary environments. - Gregory Ditzler; Robi Polikar (IJCNN, 2011)

Information-theoretic approaches to SVM feature selection for metagenome read classification. - Elaine Garbarine; Joseph DePasquale; Vinay Gadia; Robi Polikar; Gail L. Rosen (Comput. Biol. Chem., 2011)

Editorial: One Year as EiC, and Editorial-Board Changes at TNN. - Marco Baglietto; Lubica Benusková; Ivo Bukovsky; Tianping Chen; Tom Heskes; Kazushi Ikeda; Fakhri Karray; Rhee Man Kil; Robert Legenstein; Jinhu Lu; Yunqian Ma; Malik Magdon-Ismail; et al. (IEEE Trans. Neural Networks, 2011)

Incremental Learning of Concept Drift in Nonstationary Environments. - Ryan Elwell; Robi Polikar (IEEE Trans. Neural Networks, 2011)

Information theoretic feature selection for high dimensional metagenomic data. - Gregory Ditzler; Gail Rosen; Robi Polikar (GENSiPS, 2012)

Forensic identification with environmental samples. - Gregory Ditzler; Gail Rosen; Robi Polikar (ICASSP, 2012)

Transductive learning algorithms for nonstationary environments. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2012)

Semi-supervised learning in initially labeled non-stationary environments with gradual drift. - Karl B. Dyer; Robi Polikar (IJCNN, 2012)

Open-ended design and performance evaluation of a biometric speaker identification system. - Ravi Prakash Ramachandran; Robi Polikar; Kevin D. Dahm; Sachin S. Shetty (ISCAS, 2012)

Learning from streaming data with concept drift and imbalance: an overview. - T. Ryan Hoens; Robi Polikar; Nitesh V. Chawla (Prog. Artif. Intell., 2012)

Discounted expert weighting for concept drift. - Gregory Ditzler; Gail Rosen; Robi Polikar (CIDUE, 2013)

Active learning in nonstationary environments. - Robert Capo; Karl B. Dyer; Robi Polikar (IJCNN, 2013)

Incremental learning of new classes from unbalanced data. - Gregory Ditzler; Gail Rosen; Robi Polikar (IJCNN, 2013)

A freshman level module in biometric systems. - Sara H. Davis; Megan N. Frankle; Ravi Prakash Ramachandran; Kevin D. Dahm; Robi Polikar (ISCAS, 2013)

Incremental Learning of Concept Drift from Streaming Imbalanced Data. - Gregory Ditzler; Robi Polikar (IEEE Trans. Knowl. Data Eng., 2013)

Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. - Gregory Ditzler; Matthew Austen; Gail L. Rosen; Robi Polikar (CIDM, 2014)

Core support extraction for learning from initially labeled nonstationary environments using COMPOSE. - Robert Capo; Anthony Sanchez; Robi Polikar (IJCNN, 2014)

Domain adaptation bounds for multiple expert systems under concept drift. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2014)

Optimal Bayesian classification in nonstationary streaming environments. - Jehandad Khan; Nidhal Bouaynaya; Robi Polikar (IJCNN, 2014)

COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data. - Karl B. Dyer; Robert Capo; Robi Polikar (IEEE Trans. Neural Networks Learn. Syst., 2014)

Guest Editorial Learning in Nonstationary and Evolving Environments. - Robi Polikar; Cesare Alippi (IEEE Trans. Neural Networks Learn. Syst., 2014)

Inductive learning based on rough set theory for medical decision making. - Ahmad Taher Azar; Nidhal Bouaynaya; Robi Polikar (FUZZ-IEEE, 2015)

Constrained state estimation in particle filters. - Bradley Ebinger; Nidhal Bouaynaya; Robi Polikar; Roman Shterenberg (ICASSP, 2015)

Quantifying the limited and gradual concept drift assumption. - Joseph Sarnelle; Anthony Sanchez; Robert Capo; Joshua Haas; Robi Polikar (IJCNN, 2015)

Learning in Nonstationary Environments: A Survey. - Gregory Ditzler; Manuel Roveri; Cesare Alippi; Robi Polikar (IEEE Comput. Intell. Mag., 2015)

A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. - Dimah Dera; Nidhal Bouaynaya; Robi Polikar; Hassan M. Fathallah-Shaykh (IJCNN, 2016)

Learning under extreme verification latency quickly: FAST COMPOSE. - Muhammad Umer; Christopher Frederickson; Robi Polikar (SSCI, 2016)

LEVELIW: Learning extreme verification latency with importance weighting. - Muhammad Umer; Robi Polikar; Christopher Frederickson (IJCNN, 2017)

Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. - Christopher Frederickson; Michael Moore; Glenn Dawson; Robi Polikar (IJCNN, 2018)

Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance. - Christopher Frederickson; Robi Polikar (IJCNN, 2018)

Adversarial Poisoning of Importance Weighting in Domain Adaptation. - Muhammad Umer; Christopher Frederickson; Robi Polikar (SSCI, 2018)

Extensions to Online Feature Selection Using Bagging and Boosting. - Gregory Ditzler; Joseph LaBarck; James Ritchie; Gail Rosen; Robi Polikar (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks. - Muhammad Umer; Christopher Frederickson; Robi Polikar (IJCNN, 2019)

Trajectory design of an Aircraft for Circular Motion. - Nicholas DeCicco; Kristine Napolitano; Russell Trafford; Petia Georgieva; Nidhal Bouaynaya; Robi Polikar (ICCA, 2020)

Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. - Muhammad Umer; Glenn Dawson; Robi Polikar (IJCNN, 2020)

Comparative Analysis of Extreme Verification Latency Learning Algorithms. - Muhammad Umer; Robi Polikar (CoRR, 2020)

OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. - Glenn Dawson; Robi Polikar (IJCNN, 2021)

Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. - Muhammad Umer; Robi Polikar (IJCNN, 2021)

Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. - Mali Halac; Bahrad A. Sokhansanj; William L. Trimble; Thomas Coard; Norman C. Sabin; Emrecan Ozdogan; Robi Polikar; Gail L. Rosen (SSCI, 2021)

Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. - Emrecan Ozdogan; Norman C. Sabin; Thomas Gracie; Steven Portley; Mali Halac; Thomas Coard; William L. Trimble; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2021)

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. - Glenn Dawson; Robi Polikar (CoRR, 2021)

Semi-supervised and Incremental VSEARCH for Metagenomic Classification. - Emrecan Ozdogan; Adriana Fasino; Rachel Nguyen; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2022)

False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger. - Muhammad Umer; Robi Polikar (CoRR, 2022)

Contributor-Aware Defenses Against Adversarial Backdoor Attacks. - Glenn Dawson; Muhammad Umer; Robi Polikar (CoRR, 2022)

Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. - Adriana Fasino; Emrecan Ozdogan; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2023)

Adversary Aware Continual Learning. - Muhammad Umer; Robi Polikar (IEEE Access, 2024)

Guest Editorial: Anomaly detection and open-set recognition applications for computer vision. - Hakan Cevikalp; Robi Polikar; Ömer Nezih Gerek; Songcan Chen; Chuanxing Geng (IET Comput. Vis., 2024)