Oghenejokpeme I. Orhobor

17 papers B 4Journal 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture. CoRR Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Gareth Griffiths, Larisa N. Soldatova, Ross D. King
2024	J	`jnl`	Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment. CoRR Abbi Abdel-Rehim, Hector Zenil, Oghenejokpeme I. Orhobor, Marie Fisher, Ross J. Collins, Elizabeth Bourne, Gareth W. Fearnley, Emma Tate, Holly X. Smith, Larisa N. Soldatova, Ross D. King
2023	J	`jnl`	Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction. CoRR Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
2023	J	`jnl`	Extension of Transformational Machine Learning: Classification Problems. CoRR Adnan Mahmud, Oghenejokpeme I. Orhobor, Ross D. King
2023	J	`jnl`	Imbalanced regression using regressor-classifier ensembles. Mach. Learn. Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa N. Soldatova, Ross D. King
2023	J	`jnl`	Protein-ligand binding affinity prediction exploiting sequence constituent homology. Bioinform. Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
2022	J	`jnl`	Batched Bayesian Optimization for Drug Design in Noisy Environments. J. Chem. Inf. Model. Hugo Bellamy, Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Ross D. King
2021	J	`jnl`	Cross-validation is safe to use. Nat. Mach. Intell. Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor
2021	J	`jnl`	Parallel Constraint-Driven Inductive Logic Programming. CoRR Andrew Cropper, Oghenejokpeme I. Orhobor, Cristian Dinu, Rolf Morel
2020	J	`jnl`	An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat. Mach. Learn. Nastasiya F. Grinberg, Oghenejokpeme I. Orhobor, Ross D. King
2020	B	`conf`	Federated Ensemble Regression Using Classification. DS Oghenejokpeme I. Orhobor, Larisa N. Soldatova, Ross D. King
2020	B	`conf`	Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology. DS Oghenejokpeme I. Orhobor, Joseph French, Larisa N. Soldatova, Ross D. King
2020	J	`jnl`	Predicting rice phenotypes with meta and multi-target learning. Mach. Learn. Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
2019	—	`—`	A general framework for building accurate and understandable genomic models: a study in rice (Oryza sativa). Oghenejokpeme I. Orhobor
2018	B	`conf`	Large-Scale Assessment of Deep Relational Machines. ILP Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
2018	B	`conf`	Predicting Rice Phenotypes with Meta-learning. DS Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
2018	J	`jnl`	Transformative Machine Learning. CoRR Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King