‪Jonatas Grosman‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	81	80
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202020212022202320244 6 19 38 13

Co-authors

Hélio Côrtes Vieira LopesPontifícia Universidade Católica do Rio de JaneiroVerified email at puc-rio.br
Simone Diniz Junqueira BarbosaAssociate Professor, Informatics Department, PUC-RioVerified email at inf.puc-rio.br
Guilherme Gonçalves SchardongPostdoctoral Fellow, Instituto de Sistemas e Robótica, Universidade de CoimbraVerified email at isr.uc.pt

Jonatas Grosman

Jonatas Grosman

Pontifical Catholic University of Rio de Janeiro

Verified email at inf.puc-rio.br - Homepage

Artificial Intelligence Machine Learning Natural Language Processing Speech Processing


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Eras: Improving the quality control in the annotation process for natural language processing tasks JS Grosman, PHT Furtado, AMB Rodrigues, GG Schardong, SDJ Barbosa, ... Information Systems 93, 101553, 2020	38	2020
Fine-tuned XLSR-53 large model for speech recognition in English J Grosman	19*	2021
Fine-tuned XLSR-53 Large model for speech recognition in German J Grosman	9*	2021
Fine-tuned XLS-R 1B model for speech recognition in German J Grosman	5	2022
Findpapers: A tool for helping researchers who are looking for related works J Grosman	4	2020
Fine-tuned XLSR-53 large model for speech recognition in Spanish J Grosman	3	2021
ASSESSMENT OF FINE-TUNING ON END-TO-END SPEECH RECOGNITION MODELS JDS Grosman	1	2022
Fine-tuned XLSR-53 large model for speech recognition in Chinese J Grosman	1	2021
RIOS: first BeiDou monitoring station in Brazil S Junqueira, EV Raymundo, P Rocha, J Grosman, S Song 29th Conference on Precision Electromagnetic Measurements (CPEM 2014), 158-159, 2014	1	2014
LER: Anotação e classificação automática de entidades e relações HCV Lopes PUC-Rio, 2017		2017

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