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Arantza Casillas
Arantza Casillas
UPV-EHU
Verified email at ehu.eus
Title
Cited by
Cited by
Year
On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions
M Oronoz, K Gojenola, A Pérez, AD de Ilarraza, A Casillas
Journal of biomedical informatics 56, 318-332, 2015
892015
Document clustering into an unknown number of clusters using a genetic algorithm
A Casillas, MT Lena, R Martínez
International Conference on Text, Speech and Dialogue, 43-49, 2003
722003
Automatic annotation of medical records in Spanish with disease, drug and substance names
M Oronoz, A Casillas, K Gojenola, A Perez
Iberoamerican Congress on Pattern Recognition, 536-543, 2013
492013
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora
A Perez, R Weegar, A Casillas, K Gojenola, M Oronoz, H Dalianis
Journal of biomedical informatics 71, 16-30, 2017
432017
Learning to extract adverse drug reaction events from electronic health records in Spanish
A Casillas, A Pérez, M Oronoz, K Gojenola, S Santiso
Expert Systems with Applications 61, 235-245, 2016
422016
Bilingual news clustering using named entities and fuzzy similarity
S Montalvo, R Martínez, A Casillas, V Fresno
International Conference on Text, Speech and Dialogue, 107-114, 2007
362007
Multilingual document clustering: an heuristic approach based on cognate named entities
S Montalvo, R Martínez, A Casillas, V Fresno
Proceedings of the 21st International Conference on Computational …, 2006
332006
Exploring joint AB-LSTM with embedded lemmas for adverse drug reaction discovery
S Santiso, A Perez, A Casillas
IEEE journal of biomedical and health informatics 23 (5), 2148-2155, 2018
322018
The class imbalance problem detecting adverse drug reactions in electronic health records
S Santiso, A Casillas, A Pérez
Health informatics journal 25 (4), 1768-1778, 2019
312019
Multilingual news clustering: Feature translation vs. identification of cognate named entities
S Montalvo, R Martínez, A Casillas, V Fresno
Pattern Recognition Letters 28 (16), 2305-2311, 2007
262007
Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity
A Blanco, O Perez-de-Viñaspre, A Pérez, A Casillas
Computer Methods and Programs in Biomedicine 188, 105264, 2020
242020
Visceral leishmaniasis in HIV-infected patients
M del Mar Sanz, R Rubio, A Casillas, C Guijarro, JR Costa, R Martinez, ...
AIDS (London, England) 5 (10), 1272-1274, 1991
231991
Cardiology record multi-label classification using latent Dirichlet allocation
J Pérez, A Pérez, A Casillas, K Gojenola
Computer methods and programs in biomedicine 164, 111-119, 2018
212018
Ixamed at clef ehealth 2018 task 1: Icd10 coding with a sequence-to-sequence approach
A Atutxa, A Casillas, N Ezeiza, V Fresno, I Goenaga, K Gojenola, ...
CLEF (Working Notes), 2018
212018
Computer aided classification of diagnostic terms in spanish
A Pérez, K Gojenola, A Casillas, M Oronoz, AD de Ilarraza
Expert Systems with Applications 42 (6), 2949-2958, 2015
202015
Adverse drug event prediction combining shallow analysis and machine learning
S Santiso, A Casillas, A Pérez, M Oronoz, K Gojenola
Proceedings of the 5th International Workshop on Health Text Mining and …, 2014
202014
European Language Equality D1. 2: Report on the state of the art in Language Technology and Language-centric AI, September 2021
R Agerri, E Agirre, I Aldabe, N Aranberri, JM Arriola, A Atutxa, G Azkune, ...
URL https://european-languageequality. eu/wp-content/uploads/2021/10 …, 0
19
Machine learning approaches on diagnostic term encoding with the ICD for clinical documentation
A Atutxa, A Pérez, A Casillas
IEEE journal of biomedical and health informatics 22 (4), 1323-1329, 2017
182017
Word embeddings for negation detection in health records written in Spanish
S Santiso, A Casillas, A Pérez, M Oronoz
Soft Computing 23 (21), 10969-10975, 2019
172019
Automatic Misogyny Identification Using Neural Networks.
I Goenaga, A Atutxa, K Gojenola, A Casillas, AD de Ilarraza, N Ezeiza, ...
IberEval@ SEPLN, 249-254, 2018
172018
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