Publications

Lattice-preserving ALC ontology embeddings

NeSy 2024

Fernando Zhapa-Camacho, Robert Hoehndorf

Paper GitHub

Predicting protein functions using positive-unlabeled ranking with ontology-based priors

ISMB 2024

Fernando Zhapa-Camacho, Zhenwei Tang, Maxat Kulmanov, Robert Hoehndorf

Paper GitHub

Ontology Embedding: A Survey of Methods, Applications and Resources

Preprint

Jiaoyan Chen, Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf, Yuan He, Ian Horrocks

ArXiv

From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings

NeSy 2023

Fernando Zhapa-Camacho, Robert Hoehndorf

Paper GitHub

mOWL: Python library for machine learning with biomedical ontologies

Bioinformatics, Volume 39, Issue 1

Fernando Zhapa-Camacho, Maxat Kulmanov, Robert Hoehndorf

Paper GitHub

Prioritizing genomic variants through neuro-symbolic, knowledge-enhanced learning

Bioinformatics, Volume 40, Issue 5

Azza Althagafi, Fernando Zhapa-Camacho, Robert Hoehndorf

Paper GitHub

Evaluating Different Methods for Semantic Reasoning Over Ontologies

SemREC 2023

Fernando Zhapa-Camacho, Robert Hoehndorf

Paper GitHub

A-LIOn - Alignment Learning through Inconsistency negatives of the aligned Ontologies

Sarah M. Alghamdi, Fernando Zhapa-Camacho, Robert Hoehndorf

Paper GitHub

DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web

Nucleic Acids Research

Maxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf

Paper

Successive Adaptive Linear Neural Modeling for Equidistant Real Roots Finding

ETCM 2018

Joseph R. González, Fernando Zhapa-Camacho, Oscar V. Guarnizo, Francisco Ortega-Zamorano

Paper

Additional Publications