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Inés Fernando Vega López
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Journal Articles
- 2020
- [j5]Oscar Castro-López, Daniel E. Lopez Barron, Inés Fernando Vega López:
Next-generation heartbeat classification with a column-store DBMS and UDFs. J. Intell. Inf. Syst. 54(2): 363-390 (2020) - 2019
- [j4]Eduardo Díaz-Gaxiola, Zuriel E. Morales-Casas, Oscar Castro-López, Gerardo Beltrán-Gutiérrez, Inés Fernando Vega López, Arturo Yee Rendón:
Estudio comparativo de arquitecturas de CNNs en hojas de Pimiento Morrón infectadas con virus PHYVV o PEPGMV. Res. Comput. Sci. 148(7): 289-303 (2019) - 2005
- [j3]Inés Fernando Vega López, Richard T. Snodgrass, Bongki Moon:
Spatiotemporal aggregate computation: a survey. IEEE Trans. Knowl. Data Eng. 17(2): 271-286 (2005) - 2004
- [j2]Quanzhong Li, Inés Fernando Vega López, Bongki Moon:
Skyline Index for Time Series Data. IEEE Trans. Knowl. Data Eng. 16(6): 669-684 (2004) - 2003
- [j1]Bongki Moon, Inés Fernando Vega López, Vijaykumar Immanuel:
Efficient Algorithms for Large-Scale Temporal Aggregation. IEEE Trans. Knowl. Data Eng. 15(3): 744-759 (2003)
Conference and Workshop Papers
- 2019
- [c5]Oscar Castro-López, Inés Fernando Vega López:
Multi-target Compiler for the Deployment of Machine Learning Models. CGO 2019: 280-281 - 2018
- [c4]Oscar Castro-López, Inés Fernando Vega López:
Fast deployment and scoring of support vector machine models in CPU and GPU. MASES@ASE 2018: 45-52 - 2006
- [c3]Inés Fernando Vega López, Bongki Moon:
Quantizing time series for efficient similarity search under timewarping. ACST 2006: 334-339 - [c2]Inés Fernando Vega López, Bongki Moon:
Quantizing Time Series for Efficient Subsequence Matching. Databases and Applications 2006: 209-214 - 2000
- [c1]Bongki Moon, Inés Fernando Vega López, Vijaykumar Immanuel:
Scalable Algorithms for Large Temporal Aggregation. ICDE 2000: 145-154
Coauthor Index
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