Oghenejokpeme I. Orhobor

17 papers B 4Journal 12
YearRankTypeTitle / 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