default search action
Oghenejokpeme I. Orhobor
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i6]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 abs/2405.12258 (2024) - [i5]Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Gareth Griffiths, Larisa N. Soldatova, Ross D. King:
Personalised Medicine: Establishing predictive machine learning models for drug responses in patient derived cell culture. CoRR abs/2408.13012 (2024) - 2023
- [j6]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) - [j5]Oghenejokpeme I. Orhobor
Imbalanced regression using regressor-classifier ensembles. Mach. Learn. 112(4): 1365-1387 (2023) - [i4]Abbi Abdel-Rehim, Oghenejokpeme I. Orhobor, Hang Lou, Hao Ni, Ross D. King:
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction. CoRR abs/2301.07568 (2023) - [i3]Adnan Mahmud, Oghenejokpeme I. Orhobor, Ross D. King:
Extension of Transformational Machine Learning: Classification Problems. CoRR abs/2309.16693 (2023) - 2022
- [j4]Hugo Bellamy
Batched Bayesian Optimization for Drug Design in Noisy Environments. J. Chem. Inf. Model. 62(17): 3970-3981 (2022) - 2021
- [j3]Ross D. King
Cross-validation is safe to use. Nat. Mach. Intell. 3(4): 276 (2021) - [i2]Andrew Cropper, Oghenejokpeme I. Orhobor, Cristian Dinu, Rolf Morel:
Parallel Constraint-Driven Inductive Logic Programming. CoRR abs/2109.07132 (2021) - 2020
- [j2]Nastasiya F. Grinberg
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat. Mach. Learn. 109(2): 251-277 (2020) - [j1]Oghenejokpeme I. Orhobor
Predicting rice phenotypes with meta and multi-target learning. Mach. Learn. 109(11): 2195-2212 (2020) - [c4]Oghenejokpeme I. Orhobor
Federated Ensemble Regression Using Classification. DS 2020: 325-339 - [c3]Oghenejokpeme I. Orhobor
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology. DS 2020: 374-385
2010 – 2019
- 2019
- [b1]Oghenejokpeme I. Orhobor:
A general framework for building accurate and understandable genomic models: a study in rice (Oryza sativa). University of Manchester, UK, 2019 - 2018
- [c2]Oghenejokpeme I. Orhobor
Predicting Rice Phenotypes with Meta-learning. DS 2018: 144-158 - [c1]Tirtharaj Dash
Large-Scale Assessment of Deep Relational Machines. ILP 2018: 22-37 - [i1]Iván Olier, Oghenejokpeme I. Orhobor, Joaquin Vanschoren, Ross D. King:
Transformative Machine Learning. CoRR abs/1811.03392 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: