2008 |
22 | EE | Hakan Cevikalp,
Bill Triggs,
Frédéric Jurie,
Robi Polikar:
Margin-based discriminant dimensionality reduction for visual recognition.
CVPR 2008 |
21 | EE | Hakan Cevikalp,
Bill Triggs,
Robi Polikar:
Nearest hyperdisk methods for high-dimensional classification.
ICML 2008: 120-127 |
20 | EE | Matthew T. Karnick,
Michael Muhlbaier,
Robi Polikar:
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach.
ICPR 2008: 1-4 |
19 | EE | Matthew T. Karnick,
Metin Ahiskali,
Michael Muhlbaier,
Robi Polikar:
Learning concept drift in nonstationary environments using an ensemble of classifiers based approach.
IJCNN 2008: 3455-3462 |
18 | EE | 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.
Information Fusion 9(1): 83-95 (2008) |
2007 |
17 | EE | Joseph DePasquale,
Robi Polikar:
Random Feature Subset Selection for Analysis of Data with Missing Features.
IJCNN 2007: 2379-2384 |
16 | EE | 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: 2409-2414 |
15 | EE | Joseph DePasquale,
Robi Polikar:
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features.
MCS 2007: 251-260 |
14 | EE | Michael Muhlbaier,
Robi Polikar:
An Ensemble Approach for Incremental Learning in Nonstationary Environments.
MCS 2007: 490-500 |
13 | EE | Devi Parikh,
Robi Polikar:
An Ensemble-Based Incremental Learning Approach to Data Fusion.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(2): 437-450 (2007) |
2006 |
12 | EE | Hussein Syed Mohammed,
James Leander,
Matthew Marbach,
Robi Polikar:
Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules.
ICANN (1) 2006: 254-263 |
11 | EE | Nicholas Stepenosky,
Robi Polikar,
John Kounios,
Christopher Clark:
Ensemble Techniques with Weighted Combination Rules for Early Diagnosis of Alzheimer's Disease.
IJCNN 2006: 1935-1941 |
2005 |
10 | | Nikunj C. Oza,
Robi Polikar,
Josef Kittler,
Fabio Roli:
Multiple Classifier Systems, 6th International Workshop, MCS 2005, Seaside, CA, USA, June 13-15, 2005, Proceedings
Springer 2005 |
9 | EE | 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: 607-612 |
8 | EE | Zeki Erdem,
Robi Polikar,
Nejat Yumusak,
Fikret S. Gürgen:
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks.
ISCIS 2005: 322-331 |
7 | EE | Zeki Erdem,
Robi Polikar,
Fikret S. Gürgen,
Nejat Yumusak:
Ensemble of SVMs for Incremental Learning.
Multiple Classifier Systems 2005: 246-256 |
6 | EE | Michael Muhlbaier,
Apostolos Topalis,
Robi Polikar:
Ensemble Confidence Estimates Posterior Probability.
Multiple Classifier Systems 2005: 326-335 |
2004 |
5 | EE | Michael Muhlbaier,
Apostolos Topalis,
Robi Polikar:
Learn++.MT: A New Approach to Incremental Learning.
Multiple Classifier Systems 2004: 52-61 |
4 | EE | Devi Parikh,
Min T. Kim,
Joseph Oagaro,
Shreekanth Mandayam,
Robi Polikar:
Combining classifiers for multisensor data fusion.
SMC (2) 2004: 1232-1237 |
2003 |
3 | EE | Jeffrey Byorick,
Robi Polikar:
Confidence Estimation Using the Incremental Learning Algorithm, Learn++.
ICANN 2003: 181-188 |
2 | EE | Michael Lewitt,
Robi Polikar:
An Ensemble Approach for Data Fusion with Learn++.
Multiple Classifier Systems 2003: 176-185 |
2001 |
1 | | Robi Polikar,
L. Upda,
S. S. Upda,
Vasant Honavar:
Learn++: an incremental learning algorithm for supervised neural networks.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 31(4): 497-508 (2001) |