Robi Polikar

	2009
27		Anna C. 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: 417-426
26		Ryan Elwell, Robi Polikar: Incremental Learning of Variable Rate Concept Drift. MCS 2009: 142-151
25		Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar: Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. IEEE Transactions on Neural Networks 20(1): 152-168 (2009)
24		Robi Polikar: Ensemble learning. Scholarpedia 4(1): 2776 (2009)
	2008
23		Hakan Cevikalp, Bill Triggs, Frédéric Jurie, Robi Polikar: Margin-based discriminant dimensionality reduction for visual recognition. CVPR 2008
22		Hakan Cevikalp, Bill Triggs, Robi Polikar: Nearest hyperdisk methods for high-dimensional classification. ICML 2008: 120-127
21		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
20		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
19		Hakan Cevikalp, Robi Polikar: Local Classifier Weighting by Quadratic Programming. IEEE Transactions on Neural Networks 19(10): 1832-1838 (2008)
18		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		Joseph DePasquale, Robi Polikar: Random Feature Subset Selection for Analysis of Data with Missing Features. IJCNN 2007: 2379-2384
16		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		Joseph DePasquale, Robi Polikar: Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features. MCS 2007: 251-260
14		Michael Muhlbaier, Robi Polikar: An Ensemble Approach for Incremental Learning in Nonstationary Environments. MCS 2007: 490-500
13		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		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		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		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		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		Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak: Ensemble of SVMs for Incremental Learning. Multiple Classifier Systems 2005: 246-256
6		Michael Muhlbaier, Apostolos Topalis, Robi Polikar: Ensemble Confidence Estimates Posterior Probability. Multiple Classifier Systems 2005: 326-335
	2004
5		Michael Muhlbaier, Apostolos Topalis, Robi Polikar: Learn++.MT: A New Approach to Incremental Learning. Multiple Classifier Systems 2004: 52-61
4		Devi Parikh, Min T. Kim, Joseph Oagaro, Shreekanth Mandayam, Robi Polikar: Combining classifiers for multisensor data fusion. SMC (2) 2004: 1232-1237
	2003
3		Jeffrey Byorick, Robi Polikar: Confidence Estimation Using the Incremental Learning Algorithm, Learn++. ICANN 2003: 181-188
2		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)

Coauthor Index

1	Metin Ahiskali	[20]
2	Brian A. Balut	[16]
3	Jeffrey Byorick	[3]
4	Hakan Cevikalp	[19] [22] [23]
5	Christopher Clark	[11]
6	Christopher M. Clark	[16] [18]
7	Joseph DePasquale	[15] [17]
8	Ryan Elwell	[26]
9	Zeki Erdem	[7] [8] [9]
10	Jennifer Frymiare	[18]
11	Deborah Green	[16] [18]
12	Fikret S. Gürgen	[7] [8] [9]
13	Vasant Honavar	[1]
14	Meltem Izzetoglu	[27]
15	Frédéric Jurie	[23]
16	Matthew T. Karnick	[16] [20] [21]
17	Min T. Kim	[4]
18	Josef Kittler	[10]
19	John Kounios	[11] [16] [18]
20	James Leander	[12]
21	Michael Lewitt	[2]
22	Shreekanth Mandayam	[4]
23	Matthew Marbach	[12]
24	Anna C. Merzagora	[27]
25	Hussein Syed Mohammed	[12]
26	Michael Muhlbaier	[5] [6] [14] [20] [21]
27	Michael D. Muhlbaier	[25]
28	Joseph Oagaro	[4]
29	Banu Onaral	[27]
30	Nikunj C. Oza	[10]
31	Devi Parikh	[4] [13] [18]
32	Fabio Roli	[10]
33	Maria T. Schultheis	[27]
34	Nicholas Stepenosky	[11]
35	Apostolos Topalis	[5] [6] [18] [25]
36	Bill Triggs	[22] [23]
37	L. Upda	[1]
38	S. S. Upda	[1]
39	Valerie Weisser	[27]
40	Nejat Yumusak	[7] [8] [9]

Colors in the list of coauthors