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Automatic instrumentation of dataflow applications using PAPI., , , , , , and . CF, page 232-235. ACM, (2018)Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture., , , , , , , , , and 2 other author(s). J. Syst. Archit., (2017)Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications., , , , , , , , , and 5 other author(s). IEEE Access, (2019)High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier., , , , , , , , and . ReCoSoC, page 1-8. IEEE, (2017)PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI., , , , , , , , , and . IEEE Access, (2019)HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper., , , , , , , , and . Conf. Computing Frontiers, page 313-318. ACM, (2017)Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images., , , , , , , , , and 4 other author(s). Sensors, 18 (7): 2314 (2018)In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection., , , , , , , , , and 18 other author(s). IEEE Access, (2019)Runtime multi-versioning and specialization inside a memoized speculative loop optimizer., , , and . CC, page 96-107. ACM, (2020)Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing., , , , , , , and . J. Signal Process. Syst., 91 (7): 759-771 (2019)