Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2. - Adrian Bazaga; Michal Pitonák (CoRR, 2018)

Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets. - Adrián Bazaga; Alfredo Vellido (WSOM+, 2019)

A Convolutional Neural Network for the automatic diagnosis of collagen VI-related muscular dystrophies. - Adrián Bazaga; Mònica Roldán; Carmen Badosa; Cecilia Jiménez-Mallebrera; Josep M. Porta (Appl. Soft Comput., 2019)

BIOLITMAP: a web-based geolocated, temporal and thematic visualization of the evolution of bioinformatics publications. - Adrián Bazaga; Alfonso Valencia; María-José Rementeria (Bioinform., 2019)

Translating synthetic natural language to database queries: a polyglot deep learning framework. - Adrián Bazaga; Nupur Gunwant; Gos Micklem (CoRR, 2021)

HumanMine: advanced data searching, analysis and cross-species comparison. - Rachel Lyne; Adrián Bazaga; Daniela Butano; Sergio Contrino; Joshua Heimbach; Fengyuan Hu; Alex Kalderimis; Mike Lyne; Kevin Herald Reierskog; Radek Stepan; Julie M. Sullivan; Archie Wise; et al. (Database J. Biol. Databases Curation, 2022)

Unsupervised Fact Verification by Language Model Distillation. - Adrián Bazaga; Pietro Liò; Gos Micklem (CoRR, 2023)

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation. - Adrián Bazaga; Pietro Liò; Gos Micklem (CoRR, 2023)

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs. - Adrián Bazaga; Pietro Lio; Gos Micklem (EMNLP (Findings), 2024)

Language Model Knowledge Distillation for Efficient Question Answering in Spanish. - Adrián Bazaga; Pietro Lio; Gos Micklem (Tiny Papers @ ICLR, 2024)

Unsupervised Pretraining for Fact Verification by Language Model Distillation. - Adrián Bazaga; Pietro Lio; Gos Micklem (ICLR, 2024)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. - Andrei Margeloiu; Adrián Bazaga; Nikola Simidjievski; Pietro Liò; Mateja Jamnik (CoRR, 2024)

FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models. - Max Zhu; Adrián Bazaga; Pietro Liò (CoRR, 2024)

Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models. - Adrián Bazaga; Rexhina Blloshmi; Bill Byrne; Adrià de Gispert (ACL (1), 2025)