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ORCIDJocelyn Dunstan
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2020 – today
- 2024
[j9]Jeremias Garay, Jocelyn Dunstan
, Sergio Uribe, Francisco Sahli Costabal:
Physics-informed neural networks for parameter estimation in blood flow models. Comput. Biol. Medicine 178: 108706 (2024)- [j8]Luis Rojo-González, Jocelyn Dunstan, Cristóbal Cuadrado, Denisse Ávalos, Javier Moraga-Correa, Nelson Troncoso, Óscar C. Vásquez:
The problem of estimation and forecasting of obesity prevalence using sparsely collected data. Eng. Appl. Artif. Intell. 132: 107860 (2024) - [j7]Jocelyn Dunstan, Thomas Vakili, Luis Miranda, Fabián Villena, Claudio Aracena, Tamara Quiroga, Paulina Vera, Sebastián Viteri Valenzuela, Victor Rocco:
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish. BMC Medical Informatics Decis. Mak. 24(4): 204 (2024) - [c18]Claudio Aracena, Luis Miranda, Thomas Vakili, Fabián Villena, Tamara Quiroga, Fredy Núñez-Torres, Victor Rocco, Jocelyn Dunstan:
A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks. ClinicalNLP@NAACL 2024: 111-121 - [c17]Camila Díaz, Jocelyn Dunstan, Lorena Etcheverry, Antonia Fonck, Alejandro Grez, Domingo Mery, Juan L. Reutter, Hugo Rojas Corral:
Automatic Knowledge-Graph Creation from Historical Documents: The Chilean Dictatorship as a Case Study. KBC-LM/LM-KBC@ISWC 2024 - [c16]David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Santiago Góngora, Aishik Mandal, Sukannya Purkayastha, Jesús-Germán Ortiz-Barajas, Emilio Villa-Cueva, Jinheon Baek, Soyeong Jeong, Injy Hamed, Zheng Xin Yong, Zheng Wei Lim, Paula Mónica Silva, Jocelyn Dunstan, Mélanie Jouitteau, David Le Meur, Joan Nwatu, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Munkhjargal Gochoo, Guido Ivetta, Luciana Benotti, Laura Alonso Alemany, Hernán Maina, Jiahui Geng, Tiago Timponi Torrent, Frederico Belcavello, Marcelo Viridiano, Jan Christian Blaise Cruz, Dan John Velasco, Oana Ignat, Zara Burzo, Chenxi Whitehouse, Artem Abzaliev, Teresa Clifford, Grainne Caulfield, Teresa Lynn, Christian Salamea Palacios, Vladimir Araujo, Yova Kementchedjhieva, Mihail Mihaylov, Israel Abebe Azime, Henok Biadglign Ademtew, Bontu Fufa Balcha, Naome A. Etori, David Ifeoluwa Adelani, Rada Mihalcea, Atnafu Lambebo Tonja, Maria Camila Buitrago Cabrera, Gisela Vallejo, Holy Lovenia, Ruochen Zhang, Marcos Estecha-Garitagoitia, Mario Rodríguez-Cantelar, Toqeer Ehsan, Rendi Chevi, Muhammad Farid Adilazuarda, Ryandito Diandaru, Samuel Cahyawijaya, Fajri Koto, Tatsuki Kuribayashi, Haiyue Song, Aditya Khandavally, Thanmay Jayakumar, Raj Dabre, Mohamed Fazli Mohamed Imam, Kumaranage Ravindu Yasas Nagasinghe, Alina Dragonetti, Luis Fernando D'Haro, Olivier Niyomugisha, Jay Gala, Pranjal A. Chitale, Fauzan Farooqui, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. NeurIPS 2024 - [i6]David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. CoRR abs/2406.05967 (2024) - [i5]Eduardo Graells-Garrido, Matías Toro, Gabriel Mansilla, Matías Nicolai, Santiago Mansilla, Jocelyn Dunstan:
Speed Limit Reduction Enhances Urban Worker Safety: Evidence from a Decade of Traffic Incidents in Santiago, Chile. CoRR abs/2408.00687 (2024) - [i4]Camila Díaz, Jocelyn Dunstan, Lorena Etcheverry, Antonia Fonck, Alejandro Grez, Domingo Mery, Juan L. Reutter, Hugo Rojas Corral:
Automatic knowledge-graph creation from historical documents: The Chilean dictatorship as a case study. CoRR abs/2408.11975 (2024) - 2023
- [c15]Fabián Villena, Matías Rojas, Felipe Arias, Jorge Pacheco, Paulina Vera, Jocelyn Dunstan:
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System. ClinicalNLP@ACL 2023: 335-343 - [c14]Claudio Aracena, Nicolás Rodríguez, Victor Rocco, Jocelyn Dunstan:
Pre-trained language models in Spanish for health insurance coverage. ClinicalNLP@ACL 2023: 433-438 - [c13]Claudio Aracena, Jocelyn Dunstan:
Development of pre-trained language models for clinical NLP in Spanish. EACL (Student Research Workshop) 2023: 52-60 - [c12]Andrés Carvallo, Matías Rojas, Carlos Muñoz-Castro, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan:
Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition. IberLEF@SEPLN 2023 - [c11]Rodrigo Guerra, Benjamín Pizarro, Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Jocelyn Dunstan:
CMM PLN at MentalRiskES: A Traditional Machine Learning Approach for Detection of Eating Disorders and Depression in Chat Messages. IberLEF@SEPLN 2023 - [c10]Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan:
LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish. IberLEF@SEPLN 2023 - [i3]Fabián Villena, Matías Rojas, Felipe Arias, Jorge Pacheco, Paulina Vera, Jocelyn Dunstan:
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System. CoRR abs/2307.05560 (2023) - [i2]Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal:
Physics-informed neural networks for blood flow inverse problems. CoRR abs/2308.00927 (2023) - 2022
- [j6]Carolina Chiu, Fabián Villena, Kinan Martin, Fredy Núñez, Cecilia Besa, Jocelyn Dunstan:
Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish. Frontiers Artif. Intell. 5 (2022) - [j5]Pablo Báez, Felipe Bravo-Marquez, Jocelyn Dunstan, Matías Rojas, Fabián Villena:
Automatic Extraction of Nested Entities in Clinical Referrals in Spanish. ACM Trans. Comput. Heal. 3(3): 28:1-28:22 (2022) - [c9]Matías Rojas, Casimiro Pio Carrino, Aitor Gonzalez-Agirre, Jocelyn Dunstan, Marta Villegas:
Assessing the Limits of Straightforward Models for Nested Named Entity Recognition in Spanish Clinical Narratives. LOUHI@EMNLP 2022: 14-25 - [c8]Jose Barros, Matías Rojas, Jocelyn Dunstan, Andrés Abeliuk:
Divide and Conquer: An Extreme Multi-Label Classification Approach for Coding Diseases and Procedures in Spanish. LOUHI@EMNLP 2022: 138-147 - [c7]Claudio Aracena, Fabián Villena, Matías Rojas, Jocelyn Dunstan:
A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models. LOUHI@EMNLP 2022: 197-206 - [c6]Matías Rojas, Jose Barros, Kinan Martin, Mauricio Araneda-Hernandez, Jocelyn Dunstan:
PLN CMM at SocialDisNER: Improving Detection of Disease Mentions in Tweets by Using Document-Level Features. SMM4H@COLING 2022: 52-54 - [c5]Matías Rojas, Felipe Bravo-Marquez, Jocelyn Dunstan:
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition. COLING 2022: 2108-2117 - [c4]Matías Rojas, Jose Barros, Mauricio Araneda, Jocelyn Dunstan:
FLERT-Matcher: A Two-Step Approach for Clinical Named Entity Recognition and Normalization. IberLEF@SEPLN 2022 - 2021
- [j4]Jocelyn Dunstan, Fabián Villena, Jorge Pérez, René Lagos:
Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. BMC Medical Informatics Decis. Mak. 21(1): 208 (2021) - [j3]Fabián Villena, Jorge Pérez, René Lagos, Jocelyn Dunstan:
Correction to: Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. BMC Medical Informatics Decis. Mak. 21(1): 220 (2021) - [j2]Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. 38(3): 144-153 (2021) - [c3]Denisse Ávalos, Cristóbal Cuadrado, Jocelyn Dunstan, Javier Moraga, Luis Rojo-González, Nelson Troncoso, Óscar C. Vásquez:
Mathematical Model for Estimating Nutritional Status of the Population with Poor Data Quality in Developing Countries: The Case of Chile. ICORES 2021: 408-415 - [i1]Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. CoRR abs/2101.06119 (2021) - 2020
- [j1]Jocelyn Dunstan, Marcela Aguirre, Magdalena Bastías, Claudia Nau, Thomas A. Glass, Felipe A. Tobar:
Predicting nationwide obesity from food sales using machine learning. Health Informatics J. 26(1) (2020) - [c2]Pablo Báez, Fabián Villena, Matías Rojas, Manuel Durán, Jocelyn Dunstan:
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish. ClinicalNLP@EMNLP 2020: 291-300 - [c1]Fabián Villena, Urs Eisenmann, Petra Knaup, Jocelyn Dunstan, Matthias Ganzinger:
On the Construction of Multilingual Corpora for Clinical Text Mining. MIE 2020: 347-351
Coauthor Index
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