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A general framework for building accurate and understandable genomic models: a study in rice (Oryza sativa).. University of Manchester, UK, (2019)British Library, EThOS.Predicting rice phenotypes with meta and multi-target learning., , и . Mach. Learn., 109 (11): 2195-2212 (2020)Protein-ligand binding affinity prediction exploiting sequence constituent homology., , , , и . Bioinform., (августа 2023)Imbalanced regression using regressor-classifier ensembles., , , и . Mach. Learn., 112 (4): 1365-1387 (апреля 2023)An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat., , и . Mach. Learn., 109 (2): 251-277 (2020)Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology., , , и . DS, том 12323 из Lecture Notes in Computer Science, стр. 374-385. Springer, (2020)Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction., , , , и . CoRR, (2023)Large-Scale Assessment of Deep Relational Machines., , , , и . ILP, том 11105 из Lecture Notes in Computer Science, стр. 22-37. Springer, (2018)Federated Ensemble Regression Using Classification., , и . DS, том 12323 из Lecture Notes in Computer Science, стр. 325-339. Springer, (2020)Batched Bayesian Optimization for Drug Design in Noisy Environments., , , и . J. Chem. Inf. Model., 62 (17): 3970-3981 (2022)