Vicent Sanz Marco

National Institute of Advanced Industrial Science and Technology — Japan

Computer Science · Physical Sciences

10h-index479citations20works6.02yr avg
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Research Topics

Advanced Neural Network Applications(8), Adversarial Robustness in Machine Learning(8), Anomaly Detection Techniques and Applications(4), Machine Learning and Data Classification(4), Cloud Computing and Resource Management(3)

Publications20 total

Principled and automated system of systems composition using an ontological architecture
Future Generation Computer Systems·2024· 6 citedOpen Access
Principled and Automated System of Systems Composition Using an Ontological Architecture
SSRN Electronic Journal·2023Open Access
AI robustness analysis with consideration of corner cases
2021· 10 cited
Improved Surprise Adequacy Tools for Corner Case Data Description and Detection
Applied Sciences·2021· 9 citedOpen Access
Corner Case Data Description and Detection
2021· 17 cited
Low-cost automatic fish measuring estimation
2021
An ontological architecture for principled and automated system of systems composition
2020· 13 citedOpen Access
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
Lancaster EPrints (Lancaster University)·2020· 77 citedOpen Access
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
ACM Transactions on Embedded Computing Systems·2020· 5 citedOpen Access
AICO, Artificial Intelligent COach
Journal of WSCG·2020· 1 citedOpen Access
Artificial Neural Network (ANN) as a Tool to Reduce Human-Animal Interaction Improves Senegalese Sole Production
Biomolecules·2019· 3 citedOpen Access
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive\n Model Selection
arXiv (Cornell University)·2019· 2 citedOpen Access
Adaptive deep learning model selection on embedded systems
ACM SIGPLAN Notices·2018· 100 cited
Adaptive deep learning model selection on embedded systems
2018· 97 cited
Adaptive Selection of Deep Learning Models on Embedded Systems
arXiv (Cornell University)·2018· 5 citedOpen Access
Improving spark application throughput via memory aware task co-location
2017· 50 citedOpen Access
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach
arXiv (Cornell University)·2017· 14 citedOpen Access
Adaptive optimization for OpenCL programs on embedded heterogeneous systems
ACM SIGPLAN Notices·2017· 19 cited
Adaptive optimization for OpenCL programs on embedded heterogeneous systems
2017· 50 cited
Real-Time Power Cycling in Video on Demand Data Centres Using Online Bayesian Prediction
2017· 1 citedOpen Access

Frequent Co-authors

Zheng Wang(11), Ben Taylor(9), Yehia Elkhatib(9), Willy Wolff(3), B. Porter(3), Tinghui Ouyang(3), Yoshinao Isobe(3), Yutaka Oiwa(3), Yoshiki Seo(3), Abdessalam Elhabbash(3), Vatsala Nundloll(3), Gordon S. Blair(3), Hideki Asoh(2), David G. Valcarce(2), Marta F. Riesco(2), Morito Matsuoka(2), Vanesa Robles(2), Jun Ogata(1), Juan Manuel Martínez(1), Ben Taylor(1)