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2020 – today
- 2024
[j3]Abdessalam Elhabbash
, Yehia Elkhatib, Vatsala Nundloll, Vicent Sanz Marco, Gordon S. Blair:
Principled and automated system of systems composition using an ontological architecture. Future Gener. Comput. Syst. 157: 499-515 (2024)- 2021
- [c8]Tinghui Ouyang, Yoshinao Isobe, Vicent Sanz Marco, Jun Ogata, Yoshiki Seo, Yutaka Oiwa:
AI robustness analysis with consideration of corner cases. AITest 2021: 29-36 - [c7]Tinghui Ouyang, Vicent Sanz Marco, Yoshinao Isobe, Hideki Asoh, Yutaka Oiwa, Yoshiki Seo:
Corner Case Data Description and Detection. WAIN@ICSE 2021: 19-26 - [c6]Vicent Sanz Marco, David G. Valcarce, Marta F. Riesco, Vanesa Robles:
Low-cost automatic fish measuring estimation. SAC 2021: 90-97 - 2020
- [j2]Vicent Sanz Marco, Norimichi Ukita, Natsuko Kobayashi, Morito Matsuoka:
AICO, Artificial Intelligent COach. J. WSCG 28(1-2): 27-36 (2020) - [j1]Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib:
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection. ACM Trans. Embed. Comput. Syst. 19(1): 2:1-2:28 (2020) - [c5]Abdessalam Elhabbash, Vatsala Nundloll, Yehia Elkhatib, Gordon S. Blair, Vicent Sanz Marco:
An ontological architecture for principled and automated system of systems composition. SEAMS@ICSE 2020: 85-95
2010 – 2019
- 2019
- [i3]Vicent Sanz Marco, Ben Taylor, Zheng Wang, Yehia Elkhatib:
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection. CoRR abs/1911.04946 (2019) - 2018
- [c4]Ben Taylor, Vicent Sanz Marco, Willy Wolff, Yehia Elkhatib, Zheng Wang:
Adaptive deep learning model selection on embedded systems. LCTES 2018: 31-43 - [i2]Ben Taylor, Vicent Sanz Marco, Willy Wolff, Yehia Elkhatib, Zheng Wang:
Adaptive Selection of Deep Learning Models on Embedded Systems. CoRR abs/1805.04252 (2018) - 2017
- [c3]Vicent Sanz Marco, Zheng Wang, Barry Porter:
Real-Time Power Cycling in Video on Demand Data Centres Using Online Bayesian Prediction. ICDCS 2017: 2125-2130 - [c2]Ben Taylor, Vicent Sanz Marco, Zheng Wang:
Adaptive optimization for OpenCL programs on embedded heterogeneous systems. LCTES 2017: 11-20 - [c1]Vicent Sanz Marco, Ben Taylor, Barry Porter, Zheng Wang:
Improving spark application throughput via memory aware task co-location: a mixture of experts approach. Middleware 2017: 95-108 - [i1]Vicent Sanz Marco, Ben Taylor, Barry Porter, Zheng Wang:
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach. CoRR abs/1710.00610 (2017) - 2015
- [b1]Vicent Sanz Marco:
Fault tolerance for stream programs on parallel platforms. University of Hertfordshire, UK, 2015
Coauthor Index
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