Popular related searches


Author: Vincent Oria


Publication period start: 2001
Number of co-authors: 25


Number of publications with favourite co-authors
M. Tamer Özsu
Yi Yu
J. Stephen Downie

Productive Colleagues

Most productive colleagues in number of publications
J. Stephen Downie
Li Zhang
Michael Bieber


Bhaumik, Anirban, Vaitis, Michalis, Dixit, Deepti, Bieber, Michael, Galnares, Roberto, Oria, Vincent, Krishna, Aparna, Lu, Qiang, Tzagarakis, Manolis, Alljalad, Firas, Zhang, Li (2001): Towards Hypermedia Support for Database Systems. In: HICSS 2001 , 2001, . https://csdl.computer.org/comp/proceedings/hicss/2001/0981/07/09817060abs.htm

Oria, Vincent, Özsu, M. Tamer, Lin, Shu, Iglinski, Paul (2001): Similarity queries in the DISIMA image DBMS. In: ACM Multimedia 2001 , 2001, . pp. 475-478. https://portal.acm.org/citation.cfm?id=500141.500216

Yu, Yi, Downie, J. Stephen, Morchen, Fabian, 0002, Lei Chen, Joe, Kazuki, Oria, Vincent (2008): COSIN: content-based retrieval system for cover songs. In: El-Saddik, Abdulmotaleb, Vuong, Son, Griwodz, Carsten, Bimbo, Alberto Del, Candan, K. Selcuk, Jaimes, Alejandro (eds.) Proceedings of the 16th International Conference on Multimedia 2008 October 26-31, 2008, Vancouver, British Columbia, Canada. pp. 987-988. https://doi.acm.org/10.1145/1459359.1459542

Yu, Yi, Oria, Vincent, Downie, J. Stephen (2010): Recommender system for MIR research community. In: JCDL10 Proceedings of the 2010 Joint International Conference on Digital Libraries , 2010, . pp. 409-410. https://doi.acm.org/10.1145/1816123.1816205

Will, Todd C., Srinivasan, Anand, Bieber, Michael, Im, Il, Oria, Vincent, Wu, Yi-Fang (Brook) (2009): GRE: hybrid recommendations for NSDL collections. In: JCDL09 Proceedings of the 2009 Joint International Conference on Digital Libraries , 2009, . pp. 457-458. https://doi.acm.org/10.1145/1555400.1555511

Qasim, Umar, Oria, Vincent, Wu, Yi-fang Brook, Houle, Michael E., Özsu, M. Tamer (2009): A partial-order based active cache for recommender systems. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 209-212. https://dx.doi.org/10.1145/1639714.1639750