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Camilo Ortiz
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2020 – today
- 2022
- [j6]Michael Benedikt, Fergus R. Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, Camilo Ortiz:
PDQ 2.0: Flexible Infrastructure for Integrating Reasoning and Query Planning. SIGMOD Rec. 51(4): 36-41 (2022)
2010 – 2019
- 2019
- [i4]Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz:
Dialogue Act Classification in Group Chats with DAG-LSTMs. CoRR abs/1908.01821 (2019) - 2018
- [j5]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield:
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425: 62-75 (2018) - 2016
- [j4]Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter:
An adaptive accelerated first-order method for convex optimization. Comput. Optim. Appl. 64(1): 31-73 (2016) - 2015
- [c2]Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger:
Query sense disambiguation leveraging large scale user behavioral data. IEEE BigData 2015: 1230-1237 - [i3]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield:
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. CoRR abs/1512.08525 (2015) - 2014
- [j3]Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter:
Implementation of a block-decomposition algorithm for solving large-scale conic semidefinite programming problems. Comput. Optim. Appl. 57(1): 45-69 (2014) - [j2]Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter:
A first-order block-decomposition method for solving two-easy-block structured semidefinite programs. Math. Program. Comput. 6(2): 103-150 (2014) - [c1]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York:
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. IEEE BigData 2014: 55-60 - [i2]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York:
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems. CoRR abs/1407.5656 (2014) - [i1]Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger:
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior. CoRR abs/1409.2530 (2014) - 2010
- [j1]Camilo Ortiz, René Meziat:
Semidefinite relaxations of dynamical programs under discrete constraints. Optim. Lett. 4(4): 567-583 (2010)
Coauthor Index
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