Robi Polikar
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Robi Polikarengineering Degrees
Engineering
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#8377
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Electrical Engineering
#2153
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#2259
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Applied Physics
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#2401
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Engineering
Robi Polikar's Degrees
- PhD Electrical Engineering University of California, Riverside
- Masters Electrical Engineering University of California, Riverside
- Bachelors Electrical Engineering University of California, Riverside
Why Is Robi Polikar Influential?
(Suggest an Edit or Addition)Robi Polikar's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Ensemble based systems in decision making (2006) (2593)
- Learn++: an incremental learning algorithm for supervised neural networks (2001) (869)
- Incremental Learning of Concept Drift in Nonstationary Environments (2011) (746)
- Learning in Nonstationary Environments: A Survey (2015) (564)
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information (2020) (415)
- Incremental Learning of Concept Drift from Streaming Imbalanced Data (2013) (308)
- Learning from streaming data with concept drift and imbalance: an overview (2012) (241)
- Learn$^{++}$ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes (2009) (220)
- Bootstrap - Inspired Techniques in Computation Intelligence (2007) (143)
- COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data (2014) (140)
- An Ensemble-Based Incremental Learning Approach to Data Fusion (2007) (117)
- Metagenome Fragment Classification Using N-Mer Frequency Profiles (2008) (106)
- Hellinger distance based drift detection for nonstationary environments (2011) (100)
- An architecture for intelligent systems based on smart sensors (2005) (95)
- Frequency invariant classification of ultrasonic weld inspection signals (1998) (90)
- Ensemble learning (2009) (80)
- Learn++.MF: A random subspace approach for the missing feature problem (2010) (79)
- The Story of Wavelets (2000) (76)
- An ensemble based data fusion approach for early diagnosis of Alzheimer's disease (2008) (73)
- Multi-Layer and Recursive Neural Networks for Metagenomic Classification (2015) (72)
- Learn++: a classifier independent incremental learning algorithm for supervised neural networks (2002) (70)
- Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease (2007) (69)
- Incremental learning in nonstationary environments with controlled forgetting (2009) (64)
- An Ensemble Approach for Incremental Learning in Nonstationary Environments (2007) (62)
- Analysis of complexity based EEG features for the diagnosis of Alzheimer's disease (2011) (60)
- Learn++.MT: A New Approach to Incremental Learning (2004) (53)
- Multimodal EEG, MRI and PET data fusion for Alzheimer's disease diagnosis (2010) (52)
- Learning concept drift in nonstationary environments using an ensemble of classifiers based approach (2008) (51)
- Machine Learning in Transportation Data Analytics (2017) (50)
- Artificial intelligence methods for selection of an optimized sensor array for identification of volatile organic compounds (2001) (49)
- Heuristic Updatable Weighted Random Subspaces for Non-stationary Environments (2011) (49)
- An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance (2010) (48)
- Semi-supervised learning in nonstationary environments (2011) (46)
- LEARN++: an incremental learning algorithm for multilayer perceptron networks (2000) (45)
- An ensemble based incremental learning framework for concept drift and class imbalance (2010) (44)
- An incremental learning algorithm with confidence estimation for automated identification of NDE signals (2004) (44)
- Feature extraction techniques for ultrasonic signal classification (2002) (44)
- Ensemble of SVMs for Incremental Learning (2005) (43)
- Incremental Learning of Variable Rate Concept Drift (2009) (40)
- Local Classifier Weighting by Quadratic Programming (2008) (39)
- Signal Processing for Metagenomics: Extracting Information from the Soup (2009) (37)
- Identifying amyloid pathology–related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study (2015) (36)
- Nearest hyperdisk methods for high-dimensional classification (2008) (35)
- Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC (2010) (34)
- Ensemble Confidence Estimates Posterior Probability (2005) (32)
- Multiple Classifiers Based Incremental Learning Algorithm for Learning in Nonstationary Environments (2007) (32)
- Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches (2005) (31)
- An ensemble of classifiers approach for the missing feature problem (2003) (31)
- Automated analysis of rotating probe multi-frequency eddy current data from steam generator tubes (2001) (29)
- Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach (2008) (29)
- Detection and identification of odorants using an electronic nose (2001) (27)
- Hemodynamic Response to Repeated Noxious Cold Pressor Tests Measured by Functional Near Infrared Spectroscopy on Forehead (2013) (26)
- A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance (2015) (26)
- Ensemble Based Data Fusion for Early Diagnosis of Alzheimer's Disease (2005) (25)
- Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer’s Disease (2020) (25)
- Guest Editorial Learning in Nonstationary and Evolving Environments (2014) (24)
- Multiresolution wavelet analysis of ERPs for the detection of Alzheimer's disease (1997) (23)
- Incremental learning from unbalanced data (2004) (23)
- Majority Vote and Decision Template Based Ensemble Classifiers Trained on Event Related Potentials for Early Diagnosis of Alzheimer's Disease (2006) (22)
- P50: A candidate ERP biomarker of prodromal Alzheimer׳s disease (2015) (21)
- Information-theoretic approaches to SVM feature selection for metagenome read classification (2011) (21)
- Multiple classifier systems for multisensor data fusion (2006) (20)
- Extensions to Online Feature Selection Using Bagging and Boosting (2018) (20)
- Semi-supervised learning in initially labeled non-stationary environments with gradual drift (2012) (19)
- Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning (2018) (19)
- Algorithms for enhancing pattern separability, feature selection and incremental learning with appl (2000) (18)
- Quantifying the limited and gradual concept drift assumption (2015) (17)
- An Ensemble Approach for Data Fusion with Learn++ (2003) (17)
- THE WAVELET TUTORIAL PART IV by ROBI POLIKAR MULTIRESOLUTION ANALYSIS : THE DISCRETE WAVELET TRANSFORM (2004) (17)
- Learning under extreme verification latency quickly: FAST COMPOSE (2016) (16)
- Functional Near-Infrared Spectroscopy and Electroencephalography: A Multimodal Imaging Approach (2009) (16)
- A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection (2018) (16)
- Multiresolution analysis for early diagnosis of Alzheimer's disease (2004) (16)
- Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules (2006) (15)
- EEG and MRI data fusion for early diagnosis of Alzheimer's disease (2008) (14)
- Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features (2007) (14)
- Fuzzy ARTMAP network with evolutionary learning (2000) (13)
- Active learning in nonstationary environments (2013) (13)
- Discovering the Unknown: Improving Detection of Novel Species and Genera from Short Reads (2011) (13)
- Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines (2005) (13)
- Model comparison for automatic characterization and classification of average ERPs using visual oddball paradigm (2009) (13)
- An ensemble technique to handle missing data from sensors (2006) (12)
- Domain adaptation bounds for multiple expert systems under concept drift (2014) (12)
- Incremental learning of new classes from unbalanced data (2013) (12)
- Core support extraction for learning from initially labeled nonstationary environments using COMPOSE (2014) (12)
- Constrained state estimation in particle filters (2015) (12)
- Ensemble of classifiers based incremental learning with dynamic voting weight update (2003) (11)
- Wavelet Analysis of Event Related Potentials for Early Diagnosis of Alzheimer’s Disease (2001) (11)
- Stacked Generalization for Early Diagnosis of Alzheimer's Disease (2006) (10)
- Combining classifiers for multisensor data fusion (2004) (10)
- LEVELIW: Learning extreme verification latency with importance weighting (2017) (9)
- A combined pattern separability and two-tiered classification approach for identification of binary mixtures of VOCs (2006) (9)
- A generalized likelihood ratio technique for automated analysis of bobbin coil eddy current data (2002) (9)
- Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection (2001) (9)
- Neural networks for ultrasonic detection of intergranular stress corrosion cracking (2000) (9)
- ERP based decision fusion for AD diagnosis across cohorts (2009) (9)
- Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease (2006) (9)
- Inductive learning based on rough set theory for medical decision making (2015) (9)
- Margin-based discriminant dimensionality reduction for visual recognition (2008) (9)
- Multiresolution wavelet analysis and ensemble of classifiers for early diagnosis of Alzheimer's disease (2005) (9)
- Assessment strategies: feedback is too late! (2001) (9)
- Boosting Based Classification of Event Related Potentials for Early Diagnosis of Alzheimer's Disease (2005) (9)
- Dynamic segmentation of breast tissue in digitized mammograms (2001) (8)
- Ensemble of classifiers approach for NDT data fusion (2004) (8)
- Automated segmentation and quantitative characterization of radiodense tissue in digitized mammograms (2002) (8)
- Discounted expert weighting for concept drift (2013) (8)
- Transductive learning algorithms for nonstationary environments (2012) (8)
- Information theoretic feature selection for high dimensional metagenomic data (2012) (8)
- Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks (2019) (8)
- A virtual reality environment for multi-sensor data integration (2004) (8)
- Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection (2001) (8)
- Confidence Estimation Using the Incremental Learning Algorithm, Learn++ (2003) (8)
- A framework for intelligent rocket test facilities with smart sensor elements (2004) (7)
- A DATA FUSION SYSTEM FOR THE NONDESTRUCTIVE EVALUATION OF NON-PIGGABLE PIPES (2003) (7)
- Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks (2020) (7)
- Forensic identification with environmental samples (2012) (7)
- Isolated vowel recognition using linear predictive features and neural network classifier fusion (2002) (7)
- Introducing Multidisciplinary Novel Content Through Laboratory Exercises On Real World Applications (2007) (6)
- Open-ended design and performance evaluation of a biometric speaker identification system (2012) (6)
- Adding adaptive intelligence to sensor systems with MASS (2017) (6)
- Composing a new ECE program: the first five years (2001) (6)
- Adversarial Poisoning of Importance Weighting in Domain Adaptation (2018) (6)
- Vertical Integration of Biometrics Across the Curriculum: Case Study of Speaker, Face and Iris Recognition (2014) (6)
- Nonlinear cluster transformations for increasing pattern separability (1999) (5)
- Editorial: One Year as EiC, and Editorial-Board Changes at TNN (2011) (5)
- A freshman level module in biometric systems (2013) (5)
- Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments (2006) (5)
- Optimal v-SVM parameter estimation using multi objective evolutionary algorithms (2010) (5)
- Big Data and Situation-Aware Technology for Smarter Healthcare (2018) (4)
- Project-based Design of a Biometric Face Recognition System (2012) (4)
- Incremental learning of ultrasonic weld inspection signals (2001) (4)
- Integrating BME into ECE Curriculum: An Alternate Approach for (2005) (4)
- A multiple classifier approach for multisensor data fusion (2005) (4)
- OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking (2021) (4)
- Random Feature Subset Selection for Analysis of Data with Missing Features (2007) (4)
- Time Scaling and Frequency Invariant Multiresolution Analysis of Ultrasonic NDE Signals (1998) (4)
- Combining multichannel ERP data for early diagnosis of Alzheimer's Disease (2009) (4)
- Diagnostic utility of EEG based biomarkers for Alzheimer's disease (2014) (4)
- Dynamic thresholding for automated analysis of bobbin probe eddy current data (2002) (3)
- Fusion methods for boosting performance of speaker identification systems (2010) (3)
- An architecture for intelligent systems based on smart sensors (2004) (3)
- Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models (2021) (3)
- Learn++: An in-cremental learning algorithm for multilayer neural networks (2000) (3)
- Pattern Recognition (2018) (3)
- Active Analog Circuit Design: Laboratory Project and Assessment (2014) (3)
- Comparative Analysis of Extreme Verification Latency Learning Algorithms (2020) (3)
- Learn++: an incremental learning algorithm based on psycho-physiological models of learning (2001) (3)
- A multi-sensor data fusion system for assessing the integrity of gas transmission pipelines (2004) (3)
- Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness (2021) (3)
- 2006-959: THE ROLE OF THE ENGINEERING CLINIC IN PROMOTING AN AGILE ECE LEARNING ENVIRONMENT (2006) (2)
- A modified Neyman-Pearson technique for radiodense tissue estimation in digitized mammograms (2002) (2)
- Adaptive Classifiers for Nonstationary Environments (2015) (2)
- Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification (2021) (2)
- Neural and Decision Theoretic Approaches for the Automated Segmentation of Radiodense Tissue in Digitized Mammograms (2003) (2)
- Configuration and Assessment of a Senior Level Course in Biometric Systems (2013) (2)
- Proceedings of the 6th international conference on Multiple Classifier Systems (2005) (2)
- Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation (2016) (2)
- Neural network-based taxonomic clustering for metagenomics (2010) (2)
- Digital Imaging Experiences for Undergraduate Engineering Students (2004) (1)
- Scaling a neyman-pearson subset selection approach via heuristics for mining massive data (2014) (1)
- Laboratory Integration of Emerging Topics into Existing Curriculum (2006) (1)
- Organ-izing the Engineering Curriculum with Biomedically Related Learning Modules (2014) (1)
- Organizing the curriculum: introducing engineering principles through biomedically related experiments: Module Development (2013) (1)
- Incremental learning of NDE signals with confidence estimation (2002) (1)
- False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger (2022) (1)
- Digital Imaging Experiences For Engineering Students (2006) (1)
- Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (2014) (1)
- Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks (2005) (1)
- Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance (2018) (1)
- Automated Analysis of the Clock Drawing Test for Differential Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease (2018) (1)
- CONTINUOUS DEVELOPMENT OF A NEW ECE PROGRAM (2002) (1)
- Ordering samples along environmental gradients using particle swarm optimization (2011) (1)
- Multiresolution wavelet analysis of EEG signals for the detection of Alzheimer's disease (1995) (1)
- Ensemble Based Data Fusion from Parietal Region Event Related Potentials for Early Diagnosis of Alzheimer's Disease (2007) (1)
- Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences (2021) (1)
- Digital Imaging For Engineering Students (2004) (1)
- Fuselage Rudder Elevator Propeller ( " Prop " ) Motor Wing Horizontal stabilizer Vertical stabilizer Landing gear (2016) (0)
- Comparison of ERP spectral bands for early diagnosis of Alzheimer Disease using multiresolution wavelet analysis (2005) (0)
- AC 2007-463: INTRODUCING MULTIDISCIPLINARY NOVEL CONTENT THROUGH LABORATORY EXERCISES ON REAL-WORLD APPLICATIONS (2007) (0)
- Approach Via Heuristics for Mining Massive Data (2014) (0)
- Undergraduate Education in Pollution Prevention (2003) (0)
- Learning from streaming data with concept drift and imbalance: an overview (2012) (0)
- Trajectory design of an Aircraft for Circular Motion (2020) (0)
- Proceedings of the 2011 IEEE symposium on computational intelligence in dynamic and uncertain environments (CIDUE 2011) (2011) (0)
- Lecture Notes in Computer Science: Preface (2005) (0)
- Identifying multi-analyte CSF biomarkers for Alzheimer’s disease in a multi-cohort study (2013) (0)
- Tilt and Rotation Motion Control System for Solar Panel (2020) (0)
- Planning and Assessment of a Workshop on Undergraduate Education in Biometric Systems (2016) (0)
- WAVELET PACKET ANALYSIS AS A MEANS OF SEARCHING FOR WEAK NARROW BAND SIGNALS (0)
- Design and Performance Evaluation of a Biometric Iris Verification System (2015) (0)
- A Two-Tiered Classification Algorithm for Identification of Binary Mixtures of VOCs (2005) (0)
- Adversary Aware Continual Learning (2023) (0)
- Contributor-Aware Defenses Against Adversarial Backdoor Attacks (2022) (0)
- Semi-supervised and Incremental VSEARCH for Metagenomic Classification (2022) (0)
- Biomedical Engineering for All Electrical Engineers: A Model for Integrating Novel Content into Existing Curriculum (2004) (0)
- Big Data and Situation-Aware Technology for Smarter Healthcare (2018) (0)
- P1-154 Auditory event related potentials: A candidate physiologic biomarker for early detection of neurodegeneration associated with Alzheimer disease (2006) (0)
- An integrated approach to the development of biomarkers for Alzheimer's disease using hospital population data (2012) (0)
- Determining significance in metagenomic samples (2012) (0)
- Hemodynamic Response to Repeated Noxious Cold Pressor Tests Measured by Functional Near Infrared Spectroscopy on Forehead (2012) (0)
- Dual Axis Solar Panel Control System (2016) (0)
- Techniques in Computational (2007) (0)
- Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering (2023) (0)
- Arti®cial Intelligence Methods for Selection of an Optimized Sensor Array for Identi®cation of Volatile Organic Compounds (2001) (0)
- Neuropathological subtypes among subjects with Alzheimer's disease (2012) (0)
- Workshop on Interactive Adaptive Learning (2018) (0)
- Optimal Bayesian classification in nonstationary streaming environments (2014) (0)
- A Framework for Intelligent Rocket Test Facilities with Smart Sensors (2003) (0)
- Ensemble of support vector machines classifiers with learn++ algorithm (2005) (0)
- MULTI-SENSOR DATA FUSION USING GEOMETRIC TRANSFORMATIONS (2003) (0)
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