V
Vincent Oria
Researcher at New Jersey Institute of Technology
Publications - 100
Citations - 2301
Vincent Oria is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Query optimization & Image retrieval. The author has an hindex of 17, co-authored 98 publications receiving 2092 citations. Previous affiliations of Vincent Oria include University of Alberta.
Papers
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Journal ArticleDOI
Improving the quality of K-NN graphs through vector sparsification: application to image databases
TL;DR: NNF-Descent is shown to be able to increase the proportion of semantically-related images over unrelated images within the neighbor sets, and that the proposed method generalizes well for other types of data which are represented by high-dimensional feature vectors.
Book ChapterDOI
Integrating hypermedia functionality into database applications
Anirban Bhaumik,Deepti Dixit,Roberto Galnares,A. Krishna,Manolis Tzagarkis,Michalis Vaitis,Michael Bieber,Vincent Oria,Qiang Lu,Firas Alljalad,Li Zhang +10 more
TL;DR: A dynamic hypermedia engine (DHE) that aims to provide hypermedia functionality without altering applications by building "application wrappers" as an intermediary between the applications and the engine.
Posted Content
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
Gelu M. Nita,Manolis K. Georgoulis,Irina N. Kitiashvili,Viacheslav M. Sadykov,Enrico Camporeale,Alexander G. Kosovichev,Haimin Wang,Vincent Oria,Jason T. L. Wang,Rafal A. Angryk,Berkay Aydin,Azim Ahmadzadeh,Xiaoli Bai,Timothy S. Bastian,Soukaina Filali Boubrahimi,Bin Chen,Alisdair R. Davey,Sheldon Fereira,Gregory D. Fleishman,Dale E. Gary,Andrew J. Gerrard,Gregory Hellbourg,Katherine G. Herbert,Jack Ireland,Egor Illarionov,Natsuha Kuroda,Qin Li,Chang Liu,Yuexin Liu,Hyomin Kim,Dustin J. Kempton,Ruizhe Ma,Petrus C. Martens,Ryan McGranaghan,Edward Semones,John T. Stefan,Andrey M. Stejko,Yaireska Collado-Vega,Meiqi Wang,Yan Xu,Sijie Yu +40 more
TL;DR: The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicists, data providers, expert modelers, and computer/data scientists to shape a strategy for further developments in the field.
Posted Content
Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System
Gelu M. Nita,Rafal A. Angryk,Berkay Aydin,Juan M. Banda,Timothy S. Bastian,Tom Berger,Veronica Bindi,Laura E. Boucheron,Wenda Cao,E. R. Christian,Georgia de Nolfo,Edward E. DeLuca,Marc L. DeRosa,Cooper Downs,Gregory D. Fleishman,Olac Fuentes,Dale E. Gary,Frank Hill,Todd Hoeksema,Qiang Hu,Raluca Ilie,Jack Ireland,Farzad Kamalabadi,Kelly E. Korreck,Alexander G. Kosovichev,Jessica Lin,Noé Lugaz,Anthony J. Mannucci,Nagi N. Mansour,Petrus C. Martens,Leila Mays,James McAteer,Scott W. McIntosh,Vincent Oria,David Pan,Marco Panesi,W. Dean Pesnell,Alexei A. Pevtsov,Valentin Martinez Pillet,Laurel A. Rachmeler,Aaron J. Ridley,Ludger Scherliess,Gabor Toth,Marco Velli,Stephen White,Jie Zhang,Shasha Zou +46 more
TL;DR: The workshop aimed to develop a research roadmap that targets the scientific challenge of coupling observations and modeling with emerging data-science research to extract knowledge from the large volumes of data while stimulating computer science with new research applications.