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    Gert Lanckriet

    SchoolUniversity of California, San Diego
    DepartmentElectrical and Computer Engineering
    Address9500 Gilman Drive #0407
    CA La Jolla 92093
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      Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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      1. Mackey TK, Kalyanam J, Katsuki T, Lanckriet G. Machine Learning to Detect Prescription Opioid Abuse Promotion and Access via Twitter. Am J Public Health. 2017 Oct 19; e1-e6. PMID: 29048960.
        View in: PubMed
      2. Kalyanam J, Quezada M, Poblete B, Lanckriet G. Prediction and Characterization of High-Activity Events in Social Media Triggered by Real-World News. PLoS One. 2016; 11(12):e0166694. PMID: 27992437.
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      3. Ellis K, Kerr J, Godbole S, Staudenmayer J, Lanckriet G. Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. Med Sci Sports Exerc. 2016 May; 48(5):933-40. PMID: 26673126; PMCID: PMC4833514 [Available on 05/01/17].
      4. Kerr J, Patterson RE, Ellis K, Godbole S, Johnson E, Lanckriet G, Staudenmayer J. Objective Assessment of Physical Activity: Classifiers for Public Health. Med Sci Sports Exerc. 2016 May; 48(5):951-7. PMID: 27089222; PMCID: PMC4837464 [Available on 05/01/17].
      5. Mumtaz A, Coviello E, Lanckriet G, Chan AB. A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees. IEEE Trans Pattern Anal Mach Intell. 2015 Apr; 37(4):697-712. PMID: 26353288.
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      6. Lin AY, Lin AY, Huynh A, Lanckriet G, Barrington L. Crowdsourcing the unknown: the satellite search for Genghis Khan. PLoS One. 2014; 9(12):e114046. PMID: 25549335; PMCID: PMC4280225.
      7. Ellis K, Kerr J, Godbole S, Lanckriet G, Wing D, Marshall S. A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers. Physiol Meas. 2014 Nov; 35(11):2191-203. PMID: 25340969; PMCID: PMC4374571.
      8. Ellis K, Godbole S, Marshall S, Lanckriet G, Staudenmayer J, Kerr J. Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms. Front Public Health. 2014; 2:36. PMID: 24795875; PMCID: PMC4001067.
      9. Costa Pereira J, Coviello E, Doyle G, Rasiwasia N, Lanckriet G, Levy R, Vasconcelos N. On the role of correlation and abstraction in cross-modal multimedia retrieval. IEEE Trans Pattern Anal Mach Intell. 2014 Mar; 36(3):521-35. PMID: 24457508.
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      10. Ellis K, Godbole S, Kerr J, Lanckriet G. Multi-sensor physical activity recognition in free-living. Proc ACM Int Conf Ubiquitous Comput. 2014; 2014:431-440. PMID: 26247061.
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      11. Costa Pereira J, Coviello E, Doyle G, Rasiwasia N, Lanckriet G, Levy R, Vasconcelos N. On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Trans Pattern Anal Mach Intell. 2013 Aug 01. PMID: 23917421.
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      12. Mumtaz A, Coviello E, Lanckriet G, Chan AB. Clustering dynamic textures with the hierarchical em algorithm for modeling video. IEEE Trans Pattern Anal Mach Intell. 2013 Jul; 35(7):1606-21. PMID: 23681990.
        View in: PubMed
      13. Barrington L, Turnbull D, Lanckriet G. Game-powered machine learning. Proc Natl Acad Sci U S A. 2012 Apr 24; 109(17):6411-6. PMID: 22460786; PMCID: PMC3340027.
      14. Sriperumbudur BK, Lanckriet G. A proof of convergence of the concave-convex procedure using Zangwill's theory. Neural Comput. 2012 Jun; 24(6):1391-407. PMID: 22364501.
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      15. McFee B, Galleguillos C, Lanckriet G. Contextual object localization with multiple kernel nearest neighbor. IEEE Trans Image Process. 2011 Feb; 20(2):570-85. PMID: 20736139.
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      16. Peña-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, Guan Y, Leone M, Pagnani A, Kim WK, Krumpelman C, Tian W, Obozinski G, Qi Y, Mostafavi S, Lin GN, Berriz GF, Gibbons FD, Lanckriet G, Qiu J, Grant C, Barutcuoglu Z, Hill DP, Warde-Farley D, Grouios C, Ray D, Blake JA, Deng M, Jordan MI, Noble WS, Morris Q, Klein-Seetharaman J, Bar-Joseph Z, Chen T, Sun F, Troyanskaya OG, Marcotte EM, Xu D, Hughes TR, Roth FP. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biol. 2008; 9 Suppl 1:S2. PMID: 18613946; PMCID: PMC2447536.
      17. Obozinski G, Lanckriet G, Grant C, Jordan MI, Noble WS. Consistent probabilistic outputs for protein function prediction. Genome Biol. 2008; 9 Suppl 1:S6. PMID: 18613950; PMCID: PMC2447540.
      18. Dal Moro F, Abate A, Lanckriet G, Arandjelovic G, Gasparella P, Bassi P, Mancini M, Pagano F. A novel approach for accurate prediction of spontaneous passage of ureteral stones: support vector machines. Kidney Int. 2006 Jan; 69(1):157-60. PMID: 16374437.
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      19. Natsoulis G, El Ghaoui L, Lanckriet G, Tolley AM, Leroy F, Dunlea S, Eynon BP, Pearson CI, Tugendreich S, Jarnagin K. Classification of a large microarray data set: algorithm comparison and analysis of drug signatures. Genome Res. 2005 May; 15(5):724-36. PMID: 15867433; PMCID: PMC1088301.
      20. Lanckriet G, De Bie T, Cristianini N, Jordan MI, Noble WS. A statistical framework for genomic data fusion. Bioinformatics. 2004 Nov 01; 20(16):2626-35. PMID: 15130933.
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      21. Lanckriet G, Deng M, Cristianini N, Jordan MI, Noble WS. Kernel-based data fusion and its application to protein function prediction in yeast. Pac Symp Biocomput. 2004; 300-11. PMID: 14992512.
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      22. Van Gestel T, Suykens JA, Lanckriet G, Lambrechts A, De Moor B, Vandewalle J. Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis. Neural Comput. 2002 May; 14(5):1115-47. PMID: 11972910.
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      23. Van Gestel T, Suykens JK, Baestaens DE, Lambrechts A, Lanckriet G, Vandaele B, De Moor B, Vandewalle J. Financial time series prediction using least squares support vector machines within the evidence framework. IEEE Trans Neural Netw. 2001; 12(4):809-21. PMID: 18249915.
        View in: PubMed
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