Robi Polikar

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 26

Top Venues

IJCNN

CoRR

SSCI

IEEE Trans. Neural Networks Learn. Syst.

Publications

Muhammad Umer, Robi Polikar
Adversary Aware Continual Learning. CoRR (2023)
Adriana Fasino, Emrecan Ozdogan, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar
Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. SSCI (2023)
Emrecan Ozdogan, Adriana Fasino, Rachel Nguyen, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar
Semi-supervised and Incremental VSEARCH for Metagenomic Classification. SSCI (2022)
Glenn Dawson, Muhammad Umer, Robi Polikar
Contributor-Aware Defenses Against Adversarial Backdoor Attacks. CoRR (2022)
Muhammad Umer, Robi Polikar
False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger. CoRR (2022)
Muhammad Umer, Robi Polikar
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. CoRR (2021)
Glenn Dawson, Robi Polikar
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. CoRR (2021)
Emrecan Ozdogan, Norman C. Sabin, Thomas Gracie, Steven Portley, Mali Halac, Thomas Coard, William Trimble, Bahrad Sokhansanj, Gail Rosen, Robi Polikar
Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. SSCI (2021)
Glenn Dawson, Robi Polikar
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. CoRR (2021)
Glenn Dawson, Robi Polikar
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. IJCNN (2021)
Mali Halac, Bahrad Sokhansanj, William L. Trimble, Thomas Coard, Norman C. Sabin, Emrecan Ozdogan, Robi Polikar, Gail L. Rosen
Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. SSCI (2021)
Muhammad Umer, Robi Polikar
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. IJCNN (2021)
Muhammad Umer, Glenn Dawson, Robi Polikar
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. CoRR (2020)
Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar
Trajectory design of an Aircraft for Circular Motion. ICCA (2020)
Muhammad Umer, Robi Polikar
Comparative Analysis of Extreme Verification Latency Learning Algorithms. CoRR (2020)
Muhammad Umer, Glenn Dawson, Robi Polikar
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. IJCNN (2020)
Muhammad Umer, Christopher Frederickson, Robi Polikar
Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks. IJCNN (2019)
Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. IJCNN (2018)
Christopher Frederickson, Robi Polikar
Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance. IJCNN (2018)
Gregory Ditzler, Robi Polikar, Gail Rosen
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Gregory Ditzler, Joseph LaBarck, James Ritchie, Gail Rosen, Robi Polikar
Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Muhammad Umer, Christopher Frederickson, Robi Polikar
Adversarial Poisoning of Importance Weighting in Domain Adaptation. SSCI (2018)
Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. CoRR (2018)
Muhammad Umer, Robi Polikar, Christopher Frederickson
LEVELIW: Learning extreme verification latency with importance weighting. IJCNN (2017)
Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh
Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN (2016)
Muhammad Umer, Christopher Frederickson, Robi Polikar
Learning under extreme verification latency quickly: FAST COMPOSE. SSCI (2016)
Joseph Sarnelle, Anthony Sanchez, Robert Capo, Joshua Haas, Robi Polikar
Quantifying the limited and gradual concept drift assumption. IJCNN (2015)
Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar
Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. 10 (4) (2015)
Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg
Constrained state estimation in particle filters. ICASSP (2015)
Gregory Ditzler, Robi Polikar, Gail Rosen
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Ahmad Taher Azar, Nidhal Bouaynaya, Robi Polikar
Inductive learning based on rough set theory for medical decision making. FUZZ-IEEE (2015)
Gregory Ditzler, Gail L. Rosen, Robi Polikar
Domain adaptation bounds for multiple expert systems under concept drift. IJCNN (2014)
Robi Polikar, Cesare Alippi
Guest Editorial Learning in Nonstationary and Evolving Environments. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Jehandad Khan, Nidhal Bouaynaya, Robi Polikar
Optimal Bayesian classification in nonstationary streaming environments. IJCNN (2014)
Robert Capo, Anthony Sanchez, Robi Polikar
Core support extraction for learning from initially labeled nonstationary environments using COMPOSE. IJCNN (2014)
Karl B. Dyer, Robert Capo, Robi Polikar
COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. CIDM (2014)
Sara H. Davis, Megan N. Frankle, Ravi Prakash Ramachandran, Kevin D. Dahm, Robi Polikar
A freshman level module in biometric systems. ISCAS (2013)
Robert Capo, Karl B. Dyer, Robi Polikar
Active learning in nonstationary environments. IJCNN (2013)
Gregory Ditzler, Gail Rosen, Robi Polikar
Incremental learning of new classes from unbalanced data. IJCNN (2013)
Gregory Ditzler, Gail Rosen, Robi Polikar
Discounted expert weighting for concept drift. CIDUE (2013)
Gregory Ditzler, Robi Polikar
Incremental Learning of Concept Drift from Streaming Imbalanced Data. IEEE Trans. Knowl. Data Eng. 25 (10) (2013)
Gregory Ditzler, Gail Rosen, Robi Polikar
Information theoretic feature selection for high dimensional metagenomic data. GENSiPS (2012)
Karl B. Dyer, Robi Polikar
Semi-supervised learning in initially labeled non-stationary environments with gradual drift. IJCNN (2012)
Ravi Prakash Ramachandran, Robi Polikar, Kevin D. Dahm, Sachin S. Shetty
Open-ended design and performance evaluation of a biometric speaker identification system. ISCAS (2012)
Gregory Ditzler, Gail L. Rosen, Robi Polikar
Transductive learning algorithms for nonstationary environments. IJCNN (2012)
T. Ryan Hoens, Robi Polikar, Nitesh V. Chawla
Learning from streaming data with concept drift and imbalance: an overview. Prog. Artif. Intell. 1 (1) (2012)
Gregory Ditzler, Gail Rosen, Robi Polikar
Forensic identification with environmental samples. ICASSP (2012)
Steven D. Essinger, Robi Polikar, Gail Rosen
Ordering samples along environmental gradients using particle swarm optimization. EMBC (2011)
Ryan Elwell, Robi Polikar
Incremental Learning of Concept Drift in Nonstationary Environments. IEEE Trans. Neural Networks 22 (10) (2011)
Tyler Staudinger, Robi Polikar
Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease. EMBC (2011)
Elaine Garbarine, Joseph DePasquale, Vinay Gadia, Robi Polikar, Gail L. Rosen
Information-theoretic approaches to SVM feature selection for metagenome read classification. Comput. Biol. Chem. 35 (3) (2011)
Gregory Ditzler, Robi Polikar
Hellinger distance based drift detection for nonstationary environments. CIDUE (2011)
Gregory Ditzler, Robi Polikar
Semi-supervised learning in nonstationary environments. IJCNN (2011)
T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar
Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments. ICDM (2011)
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, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22 (1) (2011)
Steven D. Essinger, Robi Polikar, Gail L. Rosen
Neural network-based taxonomic clustering for metagenomics. IJCNN (2010)
Gregory Ditzler, Robi Polikar, Nitesh V. Chawla
An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. ICPR (2010)
Gregory Ditzler, James Ethridge, Ravi Prakash Ramachandran, Robi Polikar
Fusion methods for boosting performance of speaker identification systems. APCCAS (2010)
Gregory Ditzler, Robi Polikar
An ensemble based incremental learning framework for concept drift and class imbalance. IJCNN (2010)
James Ethridge, Gregory Ditzler, Robi Polikar
Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2010)
Robi Polikar, Joseph DePasquale, Hussein Syed Mohammed, Gavin Brown, Ludmila I. Kuncheva
.MF: A random subspace approach for the missing feature problem. Pattern Recognit. 43 (11) (2010)
Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar
.UDNC. MCS (2010)
Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar
.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. IEEE Trans. Neural Networks 20 (1) (2009)
Ryan Elwell, Robi Polikar
Incremental Learning of Variable Rate Concept Drift. MCS (2009)
Anna Caterina Merzagora, Meltem Izzetoglu, Robi Polikar, Valerie Weisser, Banu Onaral, Maria T. Schultheis
Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach. HCI (16) (2009)
Robi Polikar
Ensemble learning. Scholarpedia 4 (1) (2009)
Ryan Elwell, Robi Polikar
Incremental learning in nonstationary environments with controlled forgetting. IJCNN (2009)
Hakan Cevikalp, Robi Polikar
Local Classifier Weighting by Quadratic Programming. IEEE Trans. Neural Networks 19 (10) (2008)
Matthew T. Karnick, Michael Muhlbaier, Robi Polikar
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. ICPR (2008)
Hakan Cevikalp, Bill Triggs, Robi Polikar
Nearest hyperdisk methods for high-dimensional classification. ICML (2008)
Matthew T. Karnick, Metin Ahiskali, Michael Muhlbaier, Robi Polikar
Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. IJCNN (2008)
Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer Frymiare, John Kounios, Christopher M. Clark
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease. Inf. Fusion 9 (1) (2008)
Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar
Margin-based discriminant dimensionality reduction for visual recognition. CVPR (2008)
Gail L. Rosen, Elaine Garbarine, Diamantino Caseiro, Robi Polikar, Bahrad A. Sokhansanj
Metagenome Fragment Classification Using N-Mer Frequency Profiles. Adv. Bioinformatics 2008 (2008)
Joseph DePasquale, Robi Polikar
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. MCS (2007)
Joseph DePasquale, Robi Polikar
Random Feature Subset Selection for Analysis of Data with Missing Features. IJCNN (2007)
Michael Muhlbaier, Robi Polikar
An Ensemble Approach for Incremental Learning in Nonstationary Environments. MCS (2007)
Brian A. Balut, Matthew T. Karnick, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease. IJCNN (2007)
Robi Polikar, Apostolos Topalis, Deborah Green, John Kounios, Christopher M. Clark
Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease. Comput. Biol. Medicine 37 (4) (2007)
Devi Parikh, Robi Polikar
An Ensemble-Based Incremental Learning Approach to Data Fusion. IEEE Trans. Syst. Man Cybern. Part B 37 (2) (2007)
Robi Polikar
Bootstrap - Inspired Techniques in Computation Intelligence. IEEE Signal Process. Mag. 24 (4) (2007)
Hardik Gandhi, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
Stacked Generalization for Early Diagnosis of Alzheimer's Disease. EMBC (2006)
Nicholas Stepenosky, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
Majority Vote and Decision Template Based Ensemble Classifiers Trained on Event Related Potentials for Early Diagnosis of Alzheimer's Disease. ICASSP (5) (2006)
Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments. SMC (2006)
Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
Under Different Combination Rules. ICANN (1) (2006)
Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher M. Clark
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. IJCNN (2006)
Genevieve Jacques, Jennifer Frymiare, John Kounios, Christopher M. Clark, Robi Polikar
Multiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease. ICASSP (5) (2005)
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S. Gürgen
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks. ISCIS (2005)
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
Ensemble Confidence Estimates Posterior Probability. Multiple Classifier Systems (2005)
John L. Schmalzel, Fernando Figueroa, Jon Morris, Shreekanth Mandayam, Robi Polikar
An architecture for intelligent systems based on smart sensors. IEEE Trans. Instrum. Meas. 54 (4) (2005)
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
Ensemble of SVMs for Incremental Learning. Multiple Classifier Systems (2005)
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines. ICANN (2) (2005)
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
Learn++.MT: A New Approach to Incremental Learning. Multiple Classifier Systems (2004)
Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
Combining classifiers for multisensor data fusion. SMC (2) (2004)
Michael Lewitt, Robi Polikar
An Ensemble Approach for Data Fusion with Learn++. Multiple Classifier Systems (2003)
Jeffrey Byorick, Robi Polikar
Confidence Estimation Using the Incremental Learning Algorithm, Learn++. ICANN (2003)
Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection. ICASSP (2001)
Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection. ICASSP (2001)
Robi Polikar, L. Upda, S. S. Upda, Vasant G. Honavar
Learn++: an incremental learning algorithm for supervised neural networks. IEEE Trans. Syst. Man Cybern. Part C 31 (4) (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Robi Polikar