Calculating semantic relatedness for biomedical use in a knowledge-poor environment. - Maciej Rybinski; José Francisco Aldana Montes (BMC Bioinform., 2014)

kpath: integration of metabolic pathway linked data. - Ismael Navas-Delgado; María Jesús García-Godoy; Esteban López-Camacho; Maciej Rybinski; Armando Reyes-Palomares; Miguel Angel Medina; José Francisco Aldana Montes (Database J. Biol. Databases Curation, 2015)

DisMatch results for OAEI 2016. - Maciej Rybinski; María del Mar Roldán García; José García-Nieto; José Francisco Aldana Montes (OM@ISWC, 2016)

tESA: a distributional measure for calculating semantic relatedness. - Maciej Rybinski; José Francisco Aldana Montes (J. Biomed. Semant., 2016)

DomESA: a novel approach for extending domain-oriented lexical relatedness calculations with domain-specific semantics. - Maciej Rybinski; José Francisco Aldana Montes (J. Intell. Inf. Syst., 2017)

On the Design and Tuning of Machine Learning Models for Language Toxicity Classification in Online Platforms. - Maciej Rybinski; William Miller; Javier Del Ser; Miren Nekane Bilbao; José Francisco Aldana Montes (IDC, 2018)

Introducing the HOBBIT platform into the ontology alignment evaluation campaign. - Ernesto Jiménez-Ruiz; Tzanina Saveta; Ondrej Zamazal; Sven Hertling; Michael Röder; Irini Fundulaki; Axel-Cyrille Ngonga Ngomo; Mohamed Ahmed Sherif; Amina Annane; Zohra Bellahsene; Sadok Ben Yahia; Gayo Diallo; et al. (OM@ISWC, 2018)

CSIRO at 2019 TREC Precision Medicine Track. - Maciej Rybinski; Sarvnaz Karimi; Cécile Paris (TREC, 2019)

VIGLA-M: visual gene expression data analytics. - Ismael Navas-Delgado; José García-Nieto; Esteban López-Camacho; Maciej Rybinski; Rocio Lavado-Valenzuela; Miguel Ángel Berciano Guerrero; José Francisco Aldana Montes (BMC Bioinform., 2019)

Pandemic Literature Search: Finding Information on COVID-19. - Vincent Nguyen; Maciek Rybinski; Sarvnaz Karimi; Zhenchang Xing (ALTA, 2020)

CSIROmed at TREC Precision Medicine 2020. - Maciej Rybinski; Sarvnaz Karimi (TREC, 2020)

A2A: a platform for research in biomedical literature search. - Maciej Rybinski; Sarvnaz Karimi; Vincent Nguyen; Cécile Paris (BMC Bioinform., 2020)

Searching Scientific Literature for Answers on COVID-19 Questions. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi; Zhenchang Xing (CoRR, 2020)

Clinical trial search: Using biomedical language understanding models for re-ranking. - Maciej Rybinski; Jerry Xu; Sarvnaz Karimi (J. Biomed. Informatics, 2020)

Harnessing Privileged Information for Hyperbole Detection. - Rhys Biddle; Maciek Rybinski; Qian Li 003; Cécile Paris; Guandong Xu (ALTA, 2021)

Cross-Domain Language Modeling: An Empirical Investigation. - Vincent Nguyen; Sarvnaz Karimi; Maciej Rybinski; Zhenchang Xing (ALTA, 2021)

SearchEHR: A Family History Search System for Clinical Decision Support. - Xiang Dai; Maciej Rybinski; Sarvnaz Karimi (CIKM, 2021)

Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. - Maciej Rybinski; Sarvnaz Karimi (CIKM, 2021)

Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions. - Diego Mollá; Urvashi Khanna; Dima Galat; Vincent Nguyen; Maciej Rybinski (CLEF (Working Notes), 2021)

Science2Cure: A Clinical Trial Search Prototype. - Maciej Rybinski; Sarvnaz Karimi; Aleney Khoo (SIGIR, 2021)

CSIROmed Team Report of TREC 2021 Clinical Trials track: Experiments with BERT Reranking Methods. - Maciej Rybinski; Vincent Nguyen; Sarvnaz Karimi (TREC, 2021)

The Role of Context in Vaccine Stance Prediction for Twitter Users. - Aleney Khoo; Maciej Rybinski; Sarvnaz Karimi; Adam G. Dunn (ALTA, 2022)

A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. - Maciej Rybinski; Liam Watts; Sarvnaz Karimi (SIGIR, 2022)

Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi (TREC, 2022)

Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries. - Vincent Nguyen; Maciej Rybinski; Sarvnaz Karimi; Zhenchang Xing (J. Biomed. Informatics, 2022)

CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. - Mong Yuan Sim; Xiang Dai; Maciej Rybinski; Sarvnaz Karimi (BioNLP@ACL, 2023)

A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. - Maciej Rybinski; Vincent Nguyen; Sarvnaz Karimi (CIKM, 2023)

impact of sample selection on in-context learning for entity extraction from scientific writing. - Necva Bölücü; Maciej Rybinski; Stephen Wan 001 (EMNLP (Findings), 2023)

MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. - Vincent Nguyen; Sarvnaz Karimi; Maciej Rybinski; Zhenchang Xing (IJCNLP (1), 2023)

SciHarvester: Searching Scientific Documents for Numerical Values. - Maciej Rybinski; Stephen Wan 001; Sarvnaz Karimi; Cécile Paris; Brian Jin; Neil I. Huth; Peter J. Thorburn; Dean P. Holzworth (SIGIR, 2023)

Matching of Patient Questionnaires to Clinical Trials with Large Language Models. - Maciej Rybinski; Sarvnaz Karimi (TREC, 2023)

KNIT: Ontology reusability through knowledge graph exploration. - Jorge Rodríguez-Revello; Cristóbal Barba-González; Maciej Rybinski; Ismael Navas-Delgado (Expert Syst. Appl., 2023)

YOKO ONtO: You only KNIT One Ontology. - Jorge Rodríguez-Revello; Cristóbal Barba-González; Maciej Rybinski; Ismael Navas-Delgado (KGSWC, 2024)

An adaptive approach to noisy annotations in scientific information extraction. - Necva Bölücü; Maciej Rybinski; Xiang Dai; Stephen Wan 001 (Inf. Process. Manag., 2024)

Learning to match patients to clinical trials using large language models. - Maciej Rybinski; Wojciech Kusa; Sarvnaz Karimi; Allan Hanbury (J. Biomed. Informatics, 2024)

Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review. - Yidong Gan; Maciej Rybinski; Ben Hachey; Jonathan K. Kummerfeld (ACL (1), 2025)