Yoav Freund - Publications

Computer Science and Engineering University of California, San Diego, La Jolla, CA 

53 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Freund Y, Schapire RE. A decision-theoretic generalization of on-line learning and an application to boosting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 904: 23-37.  1
2014 Elkherj M, Freund Y. A system for sending the right hint at the right time L@S 2014 - Proceedings of the 1st Acm Conference On Learning At Scale. 219-220. DOI: 10.1145/2556325.2567864  1
2014 Cheamanunkul S, Freund Y. Improved kNN rule for small training sets Proceedings - 2014 13th International Conference On Machine Learning and Applications, Icmla 2014. 201-206. DOI: 10.1109/ICMLA.2014.37  1
2014 Jacobsen M, Sampangi S, Freund Y, Kastner R. Improving FPGA accelerated tracking with multiple online trained classifiers Conference Digest - 24th International Conference On Field Programmable Logic and Applications, Fpl 2014. DOI: 10.1109/FPL.2014.6927505  1
2013 Balsubramani A, Dasgupta S, Freund Y. The fast convergence of incremental PCA Advances in Neural Information Processing Systems 1
2012 Jacobson N, Freund Y, Nguyen TQ. An online learning approach to occlusion boundary detection. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 252-61. PMID 21788193 DOI: 10.1109/TIP.2011.2162420  1
2012 Jacobsen M, Freund Y, Kastner R. RIFFA: A reusable integration framework for FPGA accelerators Proceedings of the 2012 Ieee 20th International Symposium On Field-Programmable Custom Computing Machines, Fccm 2012. 216-219. DOI: 10.1109/FCCM.2012.44  1
2011 Jacobson N, Freund Y, Nguyen TQ. Occlusion boundary detection using an online learning framework Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 913-916. DOI: 10.1109/ICASSP.2011.5946553  1
2010 Valmianski I, Shih AY, Driscoll JD, Matthews DW, Freund Y, Kleinfeld D. Automatic identification of fluorescently labeled brain cells for rapid functional imaging. Journal of Neurophysiology. 104: 1803-11. PMID 20610792 DOI: 10.1152/jn.00484.2010  1
2010 Arvey A, Hermann A, Hsia CC, Ie E, Freund Y, McGinnis W. Minimizing off-target signals in RNA fluorescent in situ hybridization. Nucleic Acids Research. 38: e115. PMID 20164092 DOI: 10.1093/nar/gkq042  1
2010 Tzeng J, Freund Y, Nguyen T. Using adaboost on contourlet based image deblurring for Fluid Lens Camera Systems Proceedings - International Conference On Image Processing, Icip. 1173-1176. DOI: 10.1109/ICIP.2010.5651893  1
2010 Creamer G, Freund Y. Automated trading with boosting and expert weighting Quantitative Finance. 10: 401-420. DOI: 10.1080/14697680903104113  1
2010 Creamer G, Freund Y. Learning a board Balanced Scorecard to improve corporate performance Decision Support Systems. 49: 365-385. DOI: 10.1016/j.dss.2010.04.004  1
2010 Creamer G, Freund Y. Using boosting for financial analysis and performance prediction: Application to s&p 500 companies, Latin American ADRs and banks Computational Economics. 36: 133-151. DOI: 10.1007/s10614-010-9205-3  1
2010 Bhowmick S, Eijkhout V, Freund Y, Fuentes E, Keyes D. Application of alternating decision trees in selecting sparse linear solvers Software Automatic Tuning: From Concepts to State-of-the-Art Results. 153-173. DOI: 10.1007/978-1-4419-6935-4_10  1
2010 Chaudhuri K, Freund Y, Hsu D. An online learning-based framework for tracking Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 101-108.  1
2009 Paré A, Lemons D, Kosman D, Beaver W, Freund Y, McGinnis W. Visualization of individual Scr mRNAs during Drosophila embryogenesis yields evidence for transcriptional bursting. Current Biology : Cb. 19: 2037-42. PMID 19931455 DOI: 10.1016/j.cub.2009.10.028  1
2009 Alterovitz R, Arvey A, Sankararaman S, Dallett C, Freund Y, Sjölander K. ResBoost: characterizing and predicting catalytic residues in enzymes. Bmc Bioinformatics. 10: 197. PMID 19558703 DOI: 10.1186/1471-2105-10-197  1
2009 Cheamanunkul S, Ettinger E, Jacobsen M, Lai P, Freund Y. Detecting, tracking and interacting with people in a public space Icmi-Mlmi'09 - Proceedings of the International Conference On Multimodal Interfaces and the Workshop On Machine Learning For Multimodal Interfaces. 79-86. DOI: 10.1145/1647314.1647330  1
2009 Dasgupta S, Freund Y. Random projection trees for vector quantization Ieee Transactions On Information Theory. 55: 3229-3242. DOI: 10.1109/TIT.2009.2021326  1
2009 Freund Y, Dasgupta S, Kabra M, Verma N. Learning the structure of manifolds using random projections Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Chaudhuri K, Freund Y, Hsu D. A parameter-free hedging algorithm Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 297-305.  1
2008 Liu R, Freund Y, Spraggon G. Image-based crystal detection: a machine-learning approach. Acta Crystallographica. Section D, Biological Crystallography. 64: 1187-95. PMID 19018095 DOI: 10.1107/S090744490802982X  1
2008 Ettinger E, Freund Y. Coordinate-free calibration of an acoustically driven camera pointing system 2008 2nd Acm/Ieee International Conference On Distributed Smart Cameras, Icdsc 2008. DOI: 10.1109/ICDSC.2008.4635685  1
2008 Dasgupta S, Freund Y. Random projection trees and low dimensional manifolds Proceedings of the Annual Acm Symposium On Theory of Computing. 537-546.  1
2008 Freund Y, Schapire RE. Response to Mease and Wyner, evidence contrary to the statistical view of boosting, JMLR 9:131-156, 2008 Journal of Machine Learning Research. 9: 171-174.  1
2007 Giannone G, Dubin-Thaler BJ, Rossier O, Cai Y, Chaga O, Jiang G, Beaver W, Döbereiner HG, Freund Y, Borisy G, Sheetz MP. Lamellipodial actin mechanically links myosin activity with adhesion-site formation. Cell. 128: 561-75. PMID 17289574 DOI: 10.1016/j.cell.2006.12.039  1
2007 Beaver W, Kosman D, Tedeschi G, Bier E, McGinnis W, Freund Y. Segmentation of nuclei in confocal image stacks using performance based thresholding 2007 4th Ieee International Symposium On Biomedical Imaging: From Nano to Macro - Proceedings. 53-56. DOI: 10.1109/ISBI.2007.356786  1
2006 Kundaje A, Middendorf M, Shah M, Wiggins CH, Freund Y, Leslie C. A classification-based framework for predicting and analyzing gene regulatory response. Bmc Bioinformatics. 7: S5. PMID 16723008 DOI: 10.1186/1471-2105-7-S1-S5  1
2006 Kharchenko P, Chen L, Freund Y, Vitkup D, Church GM. Identifying metabolic enzymes with multiple types of association evidence. Bmc Bioinformatics. 7: 177. PMID 16571130 DOI: 10.1186/1471-2105-7-177  1
2005 Kuang R, Ie E, Wang K, Wang K, Siddiqi M, Freund Y, Leslie C. Profile-based string kernels for remote homology detection and motif extraction. Journal of Bioinformatics and Computational Biology. 3: 527-50. PMID 16108083 DOI: 10.1142/S021972000500120X  1
2005 Middendorf M, Kundaje A, Wiggins C, Freund Y, Leslie C. Predicting genetic regulatory response using classification: Yeast stress response Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science). 3318: 1-13.  1
2005 Middendorf M, Kundaje A, Shah M, Freund Y, Wiggins CH, Leslie C. Motif discovery through predictive modeling of gene regulation Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science). 3500: 538-552.  1
2004 Kuang R, Ie E, Wang K, Wang K, Siddiqi M, Freund Y, Leslie C. Profile-based string kernels for remote homology detection and motif extraction. Proceedings / Ieee Computational Systems Bioinformatics Conference, Csb. Ieee Computational Systems Bioinformatics Conference. 152-60. PMID 16448009  1
2004 Middendorf M, Kundaje A, Wiggins C, Freund Y, Leslie C. Predicting genetic regulatory response using classification. Bioinformatics (Oxford, England). 20: i232-40. PMID 15262804 DOI: 10.1093/bioinformatics/bth923  1
2004 Freund Y, Mansour Y, Schapire RE. Generalization bounds for averaged classifiers Annals of Statistics. 32: 1698-1722. DOI: 10.1214/009053604000000058  1
2004 Freund Y, Iyer R, Schapire RE, Singer Y. An efficient boosting algorithm for combining preferences Journal of Machine Learning Research. 4: 933-969. DOI: 10.1162/1532443041827916  1
2004 Creamer G, Freund Y. Predicting performance and quantifying corporate governance risk for Latin American ADRS and banks Proceedings of the Second Iasted International Conference On Financial Engineering and Applications. 91-101.  1
2003 Auer P, Cesa-Bianchi N, Freund Y, Schapire RE. The nonstochastic multiarmed bandit problem Siam Journal On Computing. 32: 48-77. DOI: 10.1137/S0097539701398375  1
2003 Freund Y. Predicting a binary sequence almost as well as the optimal biased coin Information and Computation. 182: 73-94. DOI: 10.1016/S0890-5401(02)00033-0  1
2003 Levin A, Viola P, Freund Y. Unsupervised improvement of visual detectors using co-training Proceedings of the Ieee International Conference On Computer Vision. 1: 626-633.  1
2003 Freund Y, Orlitsky A, Santhanam P, Zhang J. Universal coding of zipf distributions Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 736-737.  1
2002 Freund Y, Opper M. Drifting games and Brownian motion Journal of Computer and System Sciences. 64: 113-132. DOI: 10.1006/jcss.2001.1802  1
2001 Freund Y. An adaptive version of the boost by majority algorithm Machine Learning. 43: 293-318. DOI: 10.1023/A:1010852229904  1
1999 Freund Y, Schapire RE. Large margin classification using the perceptron algorithm Machine Learning. 37: 277-296. DOI: 10.1023/A:1007662407062  1
1999 Freund Y, Schapire RE. Adaptive Game Playing Using Multiplicative Weights Games and Economic Behavior. 29: 79-103.  1
1998 Schapire RE, Freund Y, Bartlett P, Lee WS. Boosting the margin: A new explanation for the effectiveness of voting methods Annals of Statistics. 26: 1651-1686.  1
1997 Freund Y, Seung HS, Shamir E, Tishby N. Selective Sampling Using the Query by Committee Algorithm Machine Learning. 28: 133-168.  1
1997 Freund Y, Kearns M, Ron D, Rubinfeld R, Schapire RE, Sellie L. Efficient Learning of Typical Finite Automata from Random Walks Information and Computation. 138: 23-48.  1
1997 Cesa-Bianchi N, Freund Y, Haussler D, Helmbold DP, Schapire RE, Warmuth MK. How to use expert advice Journal of the Acm. 44: 427-485.  1
1997 Freund Y, Mansour Y. Learning under persistent drift Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1208: 109-118.  1
1996 Cesa-Bianchi N, Freund Y, Helmbold DP, Warmuth MK. On-line prediction and conversion strategies Machine Learning. 25: 71-110.  1
1995 Freund Y. Boosting a Weak Learning Algorithm by Majority Information and Computation. 121: 256-285. DOI: 10.1006/inco.1995.1136  1
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