Oghenejokpeme I. Orhobor

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Protein Structure Prediction

Inductive Logic Programming

Relational Learning

Top Venues

Publications

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
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment. CoRR (2024)
Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa N. Soldatova, Ross D. King
Imbalanced regression using regressor-classifier ensembles. Mach. Learn. 112 (4) (2023)
Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction. CoRR (2023)
Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King
Protein-ligand binding affinity prediction exploiting sequence constituent homology. Bioinform. 39 (8) (2023)
Adnan Mahmud, Oghenejokpeme I. Orhobor, Ross D. King
Extension of Transformational Machine Learning: Classification Problems. CoRR (2023)
Hugo Bellamy, Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Ross King
Batched Bayesian Optimization for Drug Design in Noisy Environments. J. Chem. Inf. Model. 62 (17) (2022)
Andrew Cropper, Oghenejokpeme I. Orhobor, Cristian Dinu, Rolf Morel
Parallel Constraint-Driven Inductive Logic Programming. CoRR (2021)
Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor
Cross-validation is safe to use. Nat. Mach. Intell. 3 (4) (2021)
Oghenejokpeme I. Orhobor, Larisa N. Soldatova, Ross D. King
Federated Ensemble Regression Using Classification. DS (2020)
Oghenejokpeme I. Orhobor, Joseph French, Larisa N. Soldatova, Ross D. King
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology. DS (2020)
Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
Predicting rice phenotypes with meta and multi-target learning. Mach. Learn. 109 (11) (2020)
Nastasiya F. Grinberg, Oghenejokpeme I. Orhobor, Ross D. King
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat. Mach. Learn. 109 (2) (2020)
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
Large-Scale Assessment of Deep Relational Machines. ILP (2018)
Oghenejokpeme I. Orhobor, Nickolai N. Alexandrov, Ross D. King
Predicting Rice Phenotypes with Meta-learning. DS (2018)
Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King
Transformative Machine Learning. CoRR (2018)