Juan Gómez-Sanchís
Analytical Chemistry · 2008–2021
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 33 citations into it; #848 of 1,254 by trust here, #193 by citations
- Reinforcement Learning — 20 citations into it
- Plant Science — 9 citations into it
- Statistics and Probability — 8 citations into it
Whom Juan Gómez-Sanchís trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Juan Gómez-Sanchís overall
- Hui Huang
- P. Pathare
- Da‐Wen Sun
- N. Vélez-Rivera
- Jun‐Hu Cheng
- Jianwei Qin
- Umezuruike Linus Opara
- Di Wu
- Li Liu
Papers from Juan Gómez-Sanchís's perspective
Ordered by how strongly the researchers Juan Gómez-Sanchís trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Least-Squares Policy Iteration
- Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
- Bagging Predictors
- Tree-Based Batch Mode Reinforcement Learning
- Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
- Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations
- Algorithms for Reinforcement Learning
- Hyperspectral Scattering for assessing Peach Fruit Firmness
- Dynamic Programming and Optimal Control, Two Volume Set
Their papers
- Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012) — 524 citations
- Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques (2021) — 58 citations
- Optimization of anemia treatment in hemodialysis patients via reinforcement learning (2014) — 91 citations
- Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins (2008) — 151 citations