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2020 – today
- 2024
[j11]Necva Bölücü
, Maciej Rybinski, Xiang Dai, Stephen Wan:
An adaptive approach to noisy annotations in scientific information extraction. Inf. Process. Manag. 61(6): 103857 (2024)- [j10]Maciej Rybinski, Wojciech Kusa, Sarvnaz Karimi, Allan Hanbury:
Learning to match patients to clinical trials using large language models. J. Biomed. Informatics 159: 104734 (2024) - 2023
- [j9]Jorge Rodríguez-Revello, Cristóbal Barba-González, Maciej Rybinski, Ismael Navas-Delgado:
KNIT: Ontology reusability through knowledge graph exploration. Expert Syst. Appl. 228: 120239 (2023) - [c18]Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. BioNLP@ACL 2023: 629-635 - [c17]Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi:
A Self-Learning Resource-Efficient Re-Ranking Method for Clinical Trials Search. CIKM 2023: 4249-4253 - [c16]Necva Bölücü, Maciej Rybinski, Stephen Wan:
impact of sample selection on in-context learning for entity extraction from scientific writing. EMNLP (Findings) 2023: 5090-5107 - [c15]Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing:
MedRedQA for Medical Consumer Question Answering: Dataset, Tasks, and Neural Baselines. IJCNLP (1) 2023: 629-648 - [c14]Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth:
SciHarvester: Searching Scientific Documents for Numerical Values. SIGIR 2023: 3135-3139 - [c13]Maciej Rybinski, Sarvnaz Karimi:
Matching of Patient Questionnaires to Clinical Trials with Large Language Models. TREC 2023 - 2022
- [j8]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing:
Search like an expert: Reducing expertise disparity using a hybrid neural index for COVID-19 queries. J. Biomed. Informatics 127: 104005 (2022) - [c12]Maciej Rybinski, Liam Watts, Sarvnaz Karimi:
A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. SIGIR 2022: 3318-3322 - [c11]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi:
Matching a Patient from An Admission Note to Clinical Trials: Experiments with Query Generation and Neural-Ranking. TREC 2022 - 2021
- [c10]Maciej Rybinski, Sarvnaz Karimi:
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. CIKM 2021: 3403-3407 - [c9]Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. CIKM 2021: 4701-4705 - [c8]Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski:
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions. CLEF (Working Notes) 2021: 274-285 - [c7]Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo:
Science2Cure: A Clinical Trial Search Prototype. SIGIR 2021: 2620-2624 - [c6]Maciej Rybinski, Vincent Nguyen, Sarvnaz Karimi:
CSIROmed Team Report of TREC 2021 Clinical Trials track: Experiments with BERT Reranking Methods. TREC 2021 - [i2]Diego Mollá, Urvashi Khanna, Dima Galat, Vincent Nguyen, Maciej Rybinski:
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions. CoRR abs/2108.12189 (2021) - 2020
- [j7]Maciej Rybinski, Sarvnaz Karimi, Vincent Nguyen, Cécile Paris:
A2A: a platform for research in biomedical literature search. BMC Bioinform. 21-S(19): 572 (2020) - [j6]Maciej Rybinski, Jerry Xu, Sarvnaz Karimi:
Clinical trial search: Using biomedical language understanding models for re-ranking. J. Biomed. Informatics 109: 103530 (2020) - [c5]Maciej Rybinski, Sarvnaz Karimi:
CSIROmed at TREC Precision Medicine 2020. TREC 2020 - [i1]Vincent Nguyen, Maciej Rybinski, Sarvnaz Karimi, Zhenchang Xing:
Searching Scientific Literature for Answers on COVID-19 Questions. CoRR abs/2007.02492 (2020)
2010 – 2019
- 2019
- [j5]Ismael Navas-Delgado, José García-Nieto, Esteban López-Camacho, Maciej Rybinski, Rocio Lavado-Valenzuela, Miguel Ángel Berciano Guerrero, José Francisco Aldana Montes:
VIGLA-M: visual gene expression data analytics. BMC Bioinform. 20-S(4): 150:1-150:11 (2019) - [c4]Maciej Rybinski, Sarvnaz Karimi, Cécile Paris:
CSIRO at 2019 TREC Precision Medicine Track. TREC 2019 - 2018
- [c3]Maciej Rybinski, William Miller, Javier Del Ser, Miren Nekane Bilbao, José Francisco Aldana Montes:
On the Design and Tuning of Machine Learning Models for Language Toxicity Classification in Online Platforms. IDC 2018: 329-343 - [c2]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, Daniel Faria, Marouen Kachroudi, Abderrahmane Khiat, Patrick Lambrix, Huanyu Li, Maximilian Mackeprang, Majid Mohammadi, Maciej Rybinski, Booma Sowkarthiga Balasubramani, Cássia Trojahn:
Introducing the HOBBIT platform into the ontology alignment evaluation campaign. OM@ISWC 2018: 49-60 - 2017
- [j4]Maciej Rybinski, José Francisco Aldana Montes:
DomESA: a novel approach for extending domain-oriented lexical relatedness calculations with domain-specific semantics. J. Intell. Inf. Syst. 49(3): 315-331 (2017) - 2016
- [j3]Maciej Rybinski, José Francisco Aldana Montes:
tESA: a distributional measure for calculating semantic relatedness. J. Biomed. Semant. 7: 67:1-67:14 (2016) - [c1]Maciej Rybinski, María del Mar Roldán García, José García-Nieto, José Francisco Aldana Montes:
DisMatch results for OAEI 2016. OM@ISWC 2016: 161-165 - 2015
- [j2]Ismael Navas-Delgado, María Jesús García-Godoy, Esteban López-Camacho, Maciej Rybinski, Armando Reyes-Palomares, Miguel Angel Medina, José Francisco Aldana Montes:
kpath: integration of metabolic pathway linked data. Database J. Biol. Databases Curation 2015 (2015) - 2014
- [j1]Maciej Rybinski, José Francisco Aldana Montes:
Calculating semantic relatedness for biomedical use in a knowledge-poor environment. BMC Bioinform. 15(S-14): S2 (2014)
Coauthor Index
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last updated on 2024-11-27 20:32 CET by the dblp team
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