Revisited EM Algorithms for Learning Structure and Parameters in Bayesian Networks. - José Eduardo Ochoa Luna; Maria Bernadete Zanusso (IC-AI, 2005)

An Algorithm for Learning with Probabilistic Description Logics. - José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (URSW, 2009)

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence. - Cassio Polpo de Campos; Fábio Gagliardi Cozman; José Eduardo Ochoa Luna (J. Appl. Log., 2009)

Learning Terminologies in Probabilistic Description Logics. - Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (SBIA, 2010)

Semantic Query Extension through Probabilistic Description Logics. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2010)

Learning Sentences and Assessments in Probabilistic Description Logics. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2010)

Learning Probabilistic Description Logics: A Framework and Algorithms. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (MICAI (1), 2011)

Semantic Link Prediction through Probabilistic Description Logics. - Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (URSW, 2011)

An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2012)

Assertion Role in a Hybrid Link Prediction Approach through Probabilistic Ontology. - Marcius Armada de Oliveira; Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (ONTOBRAS, 2013)

Link prediction using a probabilistic description logic. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (J. Braz. Comput. Soc., 2013)

Semantic Unlink Prediction in Evolving Social Networks through Probabilistic Description Logic. - Marcius Armada de Oliveira; Kate Cerqueira Revoredo; José Eduardo Ochoa Luna (BRACIS, 2014)

Online Courses Recommendation based on LDA. - Rel Guzman Apaza; Elizabeth Vera Cervantes; Laura Cruz Quispe; José Ochoa Luna (SIMBig, 2014)

A TrueSkill approach for movies recommendation. - Laura Vanessa Cruz Quispe; José Eduardo Ochoa Luna (CLEI, 2015)

A Content-Based Recommendation System Using TrueSkill. - Laura Cruz Quispe; José Eduardo Ochoa Luna (MICAI (Special Sessions), 2015)

Performance of Alternating Least Squares in a Distributed Approach Using GraphLab and MapReduce. - Elizabeth Veronica Vera Cervantes; Laura Vanessa Cruz Quispe; José Eduardo Ochoa Luna (SIMBig, 2015)

Predicting Reactions to Blog Headlines. - Rel Guzman Apaza; José Eduardo Ochoa Luna; Laura Vanessa Cruz Quispe; Elizabeth Vera Cervantes (SIMBig, 2016)

Dictionary-based Sentiment Analysis Applied to Specific Domain using a Web Mining Approach. - Laura Cruz Quispe; José Eduardo Ochoa Luna; Mathieu Roche; Pascal Poncelet (SIMBig, 2016)

Deep Neural Network Approaches for Spanish Sentiment Analysis of Short Texts. - José Ochoa Luna; Disraeli Ari (IBERAMIA, 2018)

Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis. - José Ochoa Luna; Disraeli Ari (SIMBig, 2018)

Fine-Grained Gating Based on Question-Summary for Machine Comprehension. - Christian Mayhua Tijera; José Ochoa Luna (Res. Comput. Sci., 2018)

Advanced Transfer Learning Approach for Improving Spanish Sentiment Analysis. - Daniel Palomino 002; José Ochoa Luna (MICAI, 2019)

Generating Audiovisual Summaries from Literary Works using Emotion Analysis. - Daniela F. Milon-Flores; José Ochoa Luna; Erick Gomez Nieto (SIBGRAPI, 2019)

Spanish Sentiment Analysis Using Universal Language Model Fine-Tuning: A Detailed Case of Study. - Daniel Palomino 002; José Ochoa Luna (SIMBig, 2019)

Paraphrase Generation via Adversarial Penalizations. - Gerson Vizcarra; José Ochoa Luna (W-NUT@EMNLP, 2020)

A Corpus for Outbreak Detection of Diseases Prevalent in Latin America. - Antonella Dellanzo; Viviana Cotik; José Ochoa Luna (CoNLL, 2020)

Palomino-Ochoa at SemEval-2020 Task 9: Robust System Based on Transformer for Code-Mixed Sentiment Classification. - Daniel Palomino 002; José Ochoa Luna (SemEval@COLING, 2020)

Palomino-Ochoa at TASS 2020: Transformer-based Data Augmentation for Overcoming Few-Shot Learning. - Daniel Palomino 002; José Ochoa Luna (IberLEF@SEPLN, 2020)

Aggressive Language Detection Using VGCN-BERT for Spanish Texts. - Errol Mamani-Condori; José Ochoa Luna (BRACIS (2), 2021)

Transformer-based Approaches for Personality Detection using the MBTI Model. - Ricardo Lazo Vásquez; José Ochoa Luna (CLEI, 2021)

A Neural Network Architecture with an Attention-based Layer for Spatial Prediction of Fine Particulate Matter. - Luis E. Colchado; Edwin Villanueva; José Ochoa Luna (DSAA, 2021)

Improving Neural Style Transfer by Incorporating Mid-Level Representation. - Jordan Raji Lazo Cahua; José Eduardo Ochoa Luna (LA-CCI, 2021)

Image Generation from Sketches and Text-Guided Attribute Edition. - Dennis Marcell Sumiri Fernandez; José Ochoa Luna (SIMBig, 2022)

Digital surveillance in Latin American diseases outbreaks: information extraction from a novel Spanish corpus. - Antonella Dellanzo; Viviana Cotik; Daniel Yunior Lozano Barriga; Jonathan Jimmy Mollapaza Apaza; Daniel Palomino 002; Fernando Schiaffino; Alexander Yanque Aliaga; José Ochoa Luna (BMC Bioinform., 2022)