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José Eduardo Ochoa Luna
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2020 – today
- 2022
- [j4]Antonella Dellanzo, Viviana Cotik, Daniel Yunior Lozano Barriga, Jonathan Jimmy Mollapaza Apaza, Daniel Palomino, Fernando Schiaffino, Alexander Yanque Aliaga, José Ochoa Luna:
Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus. BMC Bioinform. 23(1): 558 (2022) - [c30]Dennis Marcell Sumiri Fernandez, José Ochoa Luna:
Image Generation from Sketches and Text-Guided Attribute Edition. SIMBig 2022: 82-95 - 2021
- [c29]Errol Mamani-Condori, José Ochoa Luna:
Aggressive Language Detection Using VGCN-BERT for Spanish Texts. BRACIS (2) 2021: 359-373 - [c28]Ricardo Lazo Vásquez, José Ochoa Luna:
Transformer-based Approaches for Personality Detection using the MBTI Model. CLEI 2021: 1-7 - [c27]Luis E. Colchado, Edwin Villanueva, José Ochoa Luna:
A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. DSAA 2021: 1-10 - [c26]Jordan Raji Lazo Cahua, José Eduardo Ochoa Luna:
Improving Neural Style Transfer by Incorporating Mid-Level Representation. LA-CCI 2021: 1-6 - 2020
- [c25]Gerson Vizcarra, José Ochoa Luna:
Paraphrase Generation via Adversarial Penalizations. W-NUT@EMNLP 2020: 249-259 - [c24]Antonella Dellanzo, Viviana Cotik, José Ochoa Luna:
A Corpus for Outbreak Detection of Diseases Prevalent in Latin America. CoNLL 2020: 543-551 - [c23]Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at SemEval-2020 Task 9: Robust System Based on Transformer for Code-Mixed Sentiment Classification. SemEval@COLING 2020: 963-967 - [c22]Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at TASS 2020: Transformer-based Data Augmentation for Overcoming Few-Shot Learning. IberLEF@SEPLN 2020: 171-178 - [i1]Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification. CoRR abs/2011.09448 (2020)
2010 – 2019
- 2019
- [c21]Daniel Palomino, José Ochoa Luna:
Advanced Transfer Learning Approach for Improving Spanish Sentiment Analysis. MICAI 2019: 112-123 - [c20]Daniela F. Milon-Flores, José Ochoa Luna, Erick Gomez Nieto:
Generating Audiovisual Summaries from Literary Works using Emotion Analysis. SIBGRAPI 2019: 31-38 - [c19]Daniel Palomino, José Ochoa Luna:
Spanish Sentiment Analysis Using Universal Language Model Fine-Tuning: A Detailed Case of Study. SIMBig 2019: 207-217 - 2018
- [j3]Christian Mayhua Tijera, José Ochoa Luna:
Fine-Grained Gating Based on Question-Summary for Machine Comprehension. Res. Comput. Sci. 147(10): 63-73 (2018) - [c18]José Ochoa Luna, Disraeli Ari:
Deep Neural Network Approaches for Spanish Sentiment Analysis of Short Texts. IBERAMIA 2018: 430-441 - [c17]José Ochoa Luna, Disraeli Ari:
Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis. SIMBig 2018: 19-31 - 2016
- [c16]Rel Guzman Apaza, José Eduardo Ochoa Luna, Laura Vanessa Cruz Quispe, Elizabeth Vera Cervantes:
Predicting Reactions to Blog Headlines. SIMBig 2016: 43-47 - [c15]Laura Cruz Quispe, José Eduardo Ochoa Luna, Mathieu Roche, Pascal Poncelet:
Dictionary-based Sentiment Analysis Applied to Specific Domain using a Web Mining Approach. SIMBig 2016: 80-88 - 2015
- [c14]Laura Vanessa Cruz Quispe, José Eduardo Ochoa Luna:
A TrueSkill approach for movies recommendation. CLEI 2015: 1-5 - [c13]Laura Cruz Quispe, José Eduardo Ochoa Luna:
A Content-Based Recommendation System Using TrueSkill. MICAI (Special Sessions) 2015: 203-207 - [c12]Elizabeth Veronica Vera Cervantes, Laura Vanessa Cruz Quispe, José Eduardo Ochoa Luna:
Performance of Alternating Least Squares in a Distributed Approach Using GraphLab and MapReduce. SIMBig 2015: 122-128 - 2014
- [c11]Marcius Armada de Oliveira, Kate Cerqueira Revoredo, José Eduardo Ochoa Luna:
Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic. BRACIS 2014: 372-377 - [c10]Rel Guzman Apaza, Elizabeth Vera Cervantes, Laura Cruz Quispe, José Ochoa Luna:
Online Courses Recommendation based on LDA. SIMBig 2014: 42-48 - 2013
- [j2]José Eduardo Ochoa Luna, Kate Revoredo, Fábio Gagliardi Cozman:
Link prediction using a probabilistic description logic. J. Braz. Comput. Soc. 19(4): 397-409 (2013) - [c9]Marcius Armada de Oliveira, Kate Revoredo, José Eduardo Ochoa Luna, Fábio Gagliardi Cozman:
Assertion Role in a Hybrid Link Prediction Approach through Probabilistic Ontology. ONTOBRAS 2013: 106-117 - 2012
- [c8]José Eduardo Ochoa Luna, Kate Revoredo, Fábio Gagliardi Cozman:
An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction. URSW 2012: 63-74 - 2011
- [c7]José Eduardo Ochoa Luna, Kate Revoredo, Fábio Gagliardi Cozman:
Learning Probabilistic Description Logics: A Framework and Algorithms. MICAI (1) 2011: 28-39 - [c6]Kate Revoredo, José Eduardo Ochoa Luna, Fábio Gagliardi Cozman:
Semantic Link Prediction through Probabilistic Description Logics. URSW 2011: 87-97 - 2010
- [c5]Kate Revoredo, José Eduardo Ochoa Luna, Fábio Gagliardi Cozman:
Learning Terminologies in Probabilistic Description Logics. SBIA 2010: 41-50 - [c4]José Eduardo Ochoa Luna, Kate Revoredo, Fábio Gagliardi Cozman:
Semantic Query Extension through Probabilistic Description Logics. URSW 2010: 49-60 - [c3]José Eduardo Ochoa Luna, Kate Revoredo, Fábio Gagliardi Cozman:
Learning Sentences and Assessments in Probabilistic Description Logics. URSW 2010: 85-96
2000 – 2009
- 2009
- [j1]Cassio Polpo de Campos, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna:
Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence. J. Appl. Log. 7(2): 137-154 (2009) - [c2]José Eduardo Ochoa Luna, Fábio Gagliardi Cozman:
An Algorithm for Learning with Probabilistic Description Logics. URSW 2009: 63-74 - 2005
- [c1]José Eduardo Ochoa Luna, Maria Bernadete Zanusso:
Revisited EM Algorithms for Learning Structure and Parameters in Bayesian Networks. IC-AI 2005: 572-578
Coauthor Index
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