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Alejo, L., Atkinson, J., Arriagada, C., Guzman-Fierro, V., & Roeckel, M. (2019). Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (vol 25, pg 21149, 2018) (Vol. 26). Springer Heidelberg.
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Alejo, L., Atkinson, J., Guzman-Fierro, V., & Roeckel, M. (2018). Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques. Environ. Sci. Pollut. Res., 25(21), 21149–21163.
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Alejo, L., Atkinson, J., & Lackner, S. (2020). Looking deeper – exploring hidden patterns in reactor data of N-removal systems through clustering analysis. Water Sci. Technol., 81(8), 1569–1577.
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Atkinson, J., & Maurelia, A. (2017). Redundancy-Based Trust in Question-Answering Systems. Computer, 50(1), 58–65.
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Figueroa, A., & Atkinson, J. (2019). Dual-View Learning for Detecting Web Query Intents. Computer, 52(8), 34–42.
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Palma, D., & Atkinson, J. (2018). Coherence-Based Automatic Essay Assessment. IEEE Intell. Syst., 33(5), 26–36.
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Reyes, D., & Atkinson, J. (2018). Person Re-identification Using Masked Keypoints. In Lecture Notes in Computer Sciences (Vol. 10868, pp. 45–56).
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