Robi Polikar - RankMe

117 papers A* 3B 35C 4Misc 7Journal 34Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Labeler-Dependent Noise with Adversarial Awareness. IJCNN Vincent Agostino Del Tufo, Glenn Dawson, Robi Polikar
2025	—	`conf`	Large Language Models for Molecular Biology (LLMBio): Editorial. BCB Companion Gavin L. A. Hearne, Glen Rogers, Chaz Allegra, Robi Polikar, Gail Rosen
2025	J	`jnl`	The Naïve Bayes classifier++ for metagenomic taxonomic classification - query evaluation. Bioinform. Haozhe Duan, Gavin L. A. Hearne, Robi Polikar, Gail L. Rosen
2025	—	`conf`	Translating the Language of Life. BCB Companion Chaz Allegra, Robi Polikar, Gail Rosen
2024	J	`jnl`	Adversary Aware Continual Learning. IEEE Access Muhammad Umer, Robi Polikar
2024	J	`jnl`	Guest Editorial: Anomaly detection and open-set recognition applications for computer vision. IET Comput. Vis. Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng
2023	J	`jnl`	Adversary Aware Continual Learning. CoRR Muhammad Umer, Robi Polikar
2023	—	`conf`	Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. SSCI Adriana Fasino, Emrecan Ozdogan, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar
2022	J	`jnl`	Contributor-Aware Defenses Against Adversarial Backdoor Attacks. CoRR Glenn Dawson, Muhammad Umer, Robi Polikar
2022	J	`jnl`	False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger. CoRR Muhammad Umer, Robi Polikar
2022	—	`conf`	Semi-supervised and Incremental VSEARCH for Metagenomic Classification. SSCI Emrecan Ozdogan, Adriana Fasino, Rachel Nguyen, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar
2021	B	`conf`	Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. IJCNN Muhammad Umer, Robi Polikar
2021	J	`jnl`	Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models. CoRR Muhammad Umer, Robi Polikar
2021	—	`conf`	Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. SSCI Mali Halac, Bahrad A. Sokhansanj, William L. Trimble, Thomas Coard, Norman C. Sabin, Emrecan Ozdogan, Robi Polikar, Gail L. Rosen
2021	—	`conf`	Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. SSCI Emrecan Ozdogan, Norman C. Sabin, Thomas Gracie, Steven Portley, Mali Halac, Thomas Coard, William L. Trimble, Bahrad A. Sokhansanj, Gail Rosen, Robi Polikar
2021	B	`conf`	OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. IJCNN Glenn Dawson, Robi Polikar
2021	J	`jnl`	OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking. CoRR Glenn Dawson, Robi Polikar
2021	J	`jnl`	Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. CoRR Glenn Dawson, Robi Polikar
2020	J	`jnl`	Comparative Analysis of Extreme Verification Latency Learning Algorithms. CoRR Muhammad Umer, Robi Polikar
2020	B	`conf`	Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. IJCNN Muhammad Umer, Glenn Dawson, Robi Polikar
2020	J	`jnl`	Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks. CoRR Muhammad Umer, Glenn Dawson, Robi Polikar
2020	—	`conf`	Trajectory design of an Aircraft for Circular Motion. ICCA Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya, Robi Polikar
2019	B	`conf`	Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks. IJCNN Muhammad Umer, Christopher Frederickson, Robi Polikar
2018	J	`jnl`	A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. IEEE Trans. Neural Networks Learn. Syst. Gregory Ditzler, Robi Polikar, Gail Rosen
2018	—	`conf`	Adversarial Poisoning of Importance Weighting in Domain Adaptation. SSCI Muhammad Umer, Christopher Frederickson, Robi Polikar
2018	B	`conf`	Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. IJCNN Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar
2018	J	`jnl`	Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning. CoRR Christopher Frederickson, Michael Moore, Glenn Dawson, Robi Polikar
2018	J	`jnl`	Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Trans. Neural Networks Learn. Syst. Gregory Ditzler, Joseph LaBarck, James Ritchie, Gail Rosen, Robi Polikar
2018	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick
2018	B	`conf`	Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance. IJCNN Christopher Frederickson, Robi Polikar
2017	B	`conf`	LEVELIW: Learning extreme verification latency with importance weighting. IJCNN Muhammad Umer, Robi Polikar, Christopher Frederickson
2017	—	`ed.`	Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma
2016	—	`conf`	Learning under extreme verification latency quickly: FAST COMPOSE. SSCI Muhammad Umer, Christopher Frederickson, Robi Polikar
2016	B	`conf`	Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation. IJCNN Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh
2015	J	`jnl`	A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. IEEE Trans. Neural Networks Learn. Syst. Gregory Ditzler, Robi Polikar, Gail Rosen
2015	Misc	`conf`	Constrained state estimation in particle filters. ICASSP Bradley Ebinger, Nidhal Bouaynaya, Robi Polikar, Roman Shterenberg
2015	B	`conf`	Inductive learning based on rough set theory for medical decision making. FUZZ-IEEE Ahmad Taher Azar, Nidhal Bouaynaya, Robi Polikar
2015	J	`jnl`	Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar
2015	B	`conf`	Quantifying the limited and gradual concept drift assumption. IJCNN Joseph Sarnelle, Anthony Sanchez, Robert Capo, Joshua Haas, Robi Polikar
2014	J	`jnl`	COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data. IEEE Trans. Neural Networks Learn. Syst. Karl B. Dyer, Robert Capo, Robi Polikar
2014	B	`conf`	Core support extraction for learning from initially labeled nonstationary environments using COMPOSE. IJCNN Robert Capo, Anthony Sanchez, Robi Polikar
2014	B	`conf`	Domain adaptation bounds for multiple expert systems under concept drift. IJCNN Gregory Ditzler, Gail L. Rosen, Robi Polikar
2014	J	`jnl`	Guest Editorial Learning in Nonstationary and Evolving Environments. IEEE Trans. Neural Networks Learn. Syst. Robi Polikar, Cesare Alippi
2014	B	`conf`	Optimal Bayesian classification in nonstationary streaming environments. IJCNN Jehandad Khan, Nidhal Bouaynaya, Robi Polikar
2014	C	`conf`	Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. CIDM Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar
2013	C	`conf`	A freshman level module in biometric systems. ISCAS Sara H. Davis, Megan N. Frankle, Ravi Prakash Ramachandran, Kevin D. Dahm, Robi Polikar
2013	B	`conf`	Active learning in nonstationary environments. IJCNN Robert Capo, Karl B. Dyer, Robi Polikar
2013	—	`conf`	Discounted expert weighting for concept drift. CIDUE Gregory Ditzler, Gail Rosen, Robi Polikar
2013	J	`jnl`	Incremental Learning of Concept Drift from Streaming Imbalanced Data. IEEE Trans. Knowl. Data Eng. Gregory Ditzler, Robi Polikar
2013	B	`conf`	Incremental learning of new classes from unbalanced data. IJCNN Gregory Ditzler, Gail Rosen, Robi Polikar
2012	Misc	`conf`	Forensic identification with environmental samples. ICASSP Gregory Ditzler, Gail Rosen, Robi Polikar
2012	—	`conf`	Information theoretic feature selection for high dimensional metagenomic data. GENSiPS Gregory Ditzler, Gail Rosen, Robi Polikar
2012	J	`jnl`	Learning from streaming data with concept drift and imbalance: an overview. Prog. Artif. Intell. T. Ryan Hoens, Robi Polikar, Nitesh V. Chawla
2012	C	`conf`	Open-ended design and performance evaluation of a biometric speaker identification system. ISCAS Ravi Prakash Ramachandran, Robi Polikar, Kevin D. Dahm, Sachin S. Shetty
2012	B	`conf`	Semi-supervised learning in initially labeled non-stationary environments with gradual drift. IJCNN Karl B. Dyer, Robi Polikar
2012	B	`conf`	Transductive learning algorithms for nonstationary environments. IJCNN Gregory Ditzler, Gail L. Rosen, Robi Polikar
2011	—	`conf`	Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease. EMBC Tyler Staudinger, Robi Polikar
2011	J	`jnl`	Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 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
2011	—	`conf`	Hellinger distance based drift detection for nonstationary environments. CIDUE Gregory Ditzler, Robi Polikar
2011	A*	`conf`	Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments. ICDM T. Ryan Hoens, Nitesh V. Chawla, Robi Polikar
2011	J	`jnl`	Incremental Learning of Concept Drift in Nonstationary Environments. IEEE Trans. Neural Networks Ryan Elwell, Robi Polikar
2011	J	`jnl`	Information-theoretic approaches to SVM feature selection for metagenome read classification. Comput. Biol. Chem. Elaine Garbarine, Joseph DePasquale, Vinay Gadia, Robi Polikar, Gail L. Rosen
2011	—	`conf`	Ordering samples along environmental gradients using particle swarm optimization. EMBC Steven D. Essinger, Robi Polikar, Gail Rosen
2011	B	`conf`	Semi-supervised learning in nonstationary environments. IJCNN Gregory Ditzler, Robi Polikar
2010	B	`conf`	An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. ICPR Gregory Ditzler, Robi Polikar, Nitesh V. Chawla
2010	B	`conf`	An ensemble based incremental learning framework for concept drift and class imbalance. IJCNN Gregory Ditzler, Robi Polikar
2010	—	`conf`	Fusion methods for boosting performance of speaker identification systems. APCCAS Gregory Ditzler, James Ethridge, Ravi Prakash Ramachandran, Robi Polikar
2010	—	`conf`	Incremental Learning of New Classes in Unbalanced Datasets: Learn MCS Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar
2010	J	`jnl`	Learn Pattern Recognit. Robi Polikar, Joseph DePasquale, Hussein Syed Mohammed, Gavin Brown, Ludmila I. Kuncheva
2010	B	`conf`	Neural network-based taxonomic clustering for metagenomics. IJCNN Steven D. Essinger, Robi Polikar, Gail L. Rosen
2010	B	`conf`	Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. IEEE Congress on Evolutionary Computation James Ethridge, Gregory Ditzler, Robi Polikar
2009	J	`jnl`	Ensemble learning. Scholarpedia Robi Polikar
2009	—	`conf`	Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach. HCI (16) Anna Caterina Merzagora, Meltem Izzetoglu, Robi Polikar, Valerie Weisser, Banu Onaral, Maria T. Schultheis
2009	—	`conf`	Incremental Learning of Variable Rate Concept Drift. MCS Ryan Elwell, Robi Polikar
2009	B	`conf`	Incremental learning in nonstationary environments with controlled forgetting. IJCNN Ryan Elwell, Robi Polikar
2009	J	`jnl`	Learn IEEE Trans. Neural Networks Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar
2008	J	`jnl`	An ensemble based data fusion approach for early diagnosis of Alzheimer's disease. Inf. Fusion Robi Polikar, Apostolos Topalis, Devi Parikh, Deborah Green, Jennifer Frymiare, John Kounios, Christopher M. Clark
2008	B	`conf`	Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach. ICPR Matthew T. Karnick, Michael Muhlbaier, Robi Polikar
2008	B	`conf`	Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. IJCNN Matthew T. Karnick, Metin Ahiskali, Michael Muhlbaier, Robi Polikar
2008	J	`jnl`	Local Classifier Weighting by Quadratic Programming. IEEE Trans. Neural Networks Hakan Cevikalp, Robi Polikar
2008	A*	`conf`	Margin-based discriminant dimensionality reduction for visual recognition. CVPR Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar
2008	J	`jnl`	Metagenome Fragment Classification Using N-Mer Frequency Profiles. Adv. Bioinformatics Gail L. Rosen, Elaine Garbarine, Diamantino Caseiro, Robi Polikar, Bahrad A. Sokhansanj
2008	A*	`conf`	Nearest hyperdisk methods for high-dimensional classification. ICML Hakan Cevikalp, Bill Triggs, Robi Polikar
2007	—	`conf`	An Ensemble Approach for Incremental Learning in Nonstationary Environments. MCS Michael Muhlbaier, Robi Polikar
2007	J	`jnl`	An Ensemble-Based Incremental Learning Approach to Data Fusion. IEEE Trans. Syst. Man Cybern. Part B Devi Parikh, Robi Polikar
2007	J	`jnl`	Bootstrap - Inspired Techniques in Computation Intelligence. IEEE Signal Process. Mag. Robi Polikar
2007	J	`jnl`	Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease. Comput. Biol. Medicine Robi Polikar, Apostolos Topalis, Deborah Green, John Kounios, Christopher M. Clark
2007	B	`conf`	Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease. IJCNN Brian A. Balut, Matthew T. Karnick, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2007	B	`conf`	Random Feature Subset Selection for Analysis of Data with Missing Features. IJCNN Joseph DePasquale, Robi Polikar
2007	—	`conf`	Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. MCS Joseph DePasquale, Robi Polikar
2006	—	`conf`	Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn ICANN (1) Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
2006	B	`conf`	Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments. SMC Hussein Syed Mohammed, James Leander, Matthew Marbach, Robi Polikar
2006	B	`conf`	Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease. IJCNN Nicholas Stepenosky, Robi Polikar, John Kounios, Christopher M. Clark
2006	—	`conf`	Majority Vote and Decision Template Based Ensemble Classifiers Trained on Event Related Potentials for Early Diagnosis of Alzheimer's Disease. ICASSP (5) Nicholas Stepenosky, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2006	—	`conf`	Stacked Generalization for Early Diagnosis of Alzheimer's Disease. EMBC Hardik Gandhi, Deborah Green, John Kounios, Christopher M. Clark, Robi Polikar
2005	J	`jnl`	An architecture for intelligent systems based on smart sensors. IEEE Trans. Instrum. Meas. John L. Schmalzel, Fernando Figueroa, Jon Morris, Shreekanth Mandayam, Robi Polikar
2005	—	`conf`	Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks. ISCIS Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S. Gürgen
2005	B	`conf`	Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches. IJCNN Aliasgar Gangardiwala, Robi Polikar
2005	—	`conf`	Ensemble Confidence Estimates Posterior Probability. Multiple Classifier Systems Michael Muhlbaier, Apostolos Topalis, Robi Polikar
2005	—	`conf`	Ensemble of SVMs for Incremental Learning. Multiple Classifier Systems Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
2005	—	`ed.`	Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings Multiple Classifier Systems Nikunj C. Oza, Robi Polikar, Josef Kittler, Fabio Roli
2005	—	`conf`	Multiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease. ICASSP (5) Genevieve Jacques, Jennifer Frymiare, John Kounios, Christopher M. Clark, Robi Polikar
2005	—	`conf`	Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines. ICANN (2) Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak
2004	—	`conf`	Combining classifiers for multisensor data fusion. SMC (2) Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar
2004	B	`conf`	Incremental learning from unbalanced data. IJCNN Michael Muhlbaier, Apostolos Topalis, Robi Polikar
2004	—	`conf`	Learn++.MT: A New Approach to Incremental Learning. Multiple Classifier Systems Michael Muhlbaier, Apostolos Topalis, Robi Polikar
2003	—	`conf`	An Ensemble Approach for Data Fusion with Learn++. Multiple Classifier Systems Michael Lewitt, Robi Polikar
2003	B	`conf`	An ensemble of classifiers approach for the missing feature problem. IJCNN Stefan Krause, Robi Polikar
2003	C	`conf`	Confidence Estimation Using the Incremental Learning Algorithm, Learn++. ICANN Jeffrey Byorick, Robi Polikar
2003	B	`conf`	Ensemble of classifiers based incremental learning with dynamic voting weight update. IJCNN Robi Polikar, Stefan Krause, Lyndsay Burd
2001	Misc	`conf`	Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection. ICASSP Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
2001	Misc	`conf`	Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection. ICASSP Muhammad Afzal, Robi Polikar, Lalita Udpa, Satish S. Udpa
2001	Misc	`conf`	Detection and identification of odorants using an electronic nose. ICASSP Robi Polikar, Ruth Shinar, Vasant G. Honavar, Lalita Udpa, Marc D. Porter
2001	J	`jnl`	Learn++: an incremental learning algorithm for supervised neural networks. IEEE Trans. Syst. Man Cybern. Part C Robi Polikar, L. Upda, S. S. Upda, Vasant G. Honavar
2000	Misc	`conf`	Fuzzy ARTMAP network with evolutionary learning. ICASSP Pradeep Ramuhalli, Robi Polikar, Lalita Udpa, Satish S. Udpa
2000	Misc	`conf`	LEARN++: an incremental learning algorithm for multilayer perceptron networks. ICASSP Robi Polikar, Lalita Udpa, Satish S. Udpa, Vasant G. Honavar
1999	B	`conf`	Nonlinear cluster transformations for increasing pattern separability. IJCNN Robi Polikar, Lalita Udpa, Satish S. Udpa