UH-MAJA-KD at eHealth-KD Challenge 2019: Deep Learning Models for Knowledge Discovery in Spanish eHealth Documents. - Jorge Mederos Alvarado; Ernesto Quevedo Caballero; Alejandro Rodríguez Pérez; Rocío Cruz Linares (IberLEF@SEPLN, 2019)

UH-MAJA-KD at eHealth-KD Challenge 2020. - Alejandro Rodríguez Pérez; Ernesto Quevedo Caballero; Jorge Mederos Alvarado; Rocío Cruz Linares; Juan Pablo Consuegra-Ayala (IberLEF@SEPLN, 2020)

Dual architecture for name entity extraction and relation extraction with applications in medical corpora: student research abstract. - Ernesto Quevedo Caballero (SAC, 2022)

Fairness Analysis of Deep Reinforcement Learning based Multi-Path QUIC Scheduling. - Ernesto Quevedo Caballero; Michael Jeff Donahoo; Tomás Cerný (SAC, 2023)

A Dataset of Microservices-based Open-Source Projects. - Dario Amoroso d'Aragona; Alexander Bakhtin; Xiaozhou Li 002; Ruoyu Su; Lauren Adams; Ernesto Aponte; Francis Boyle; Patrick Boyle; Rachel Koerner; Joseph Lee; Fangchao Tian; Yuqing Wang 002; et al. (MSR, 2024)

Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. - Ernesto Quevedo; Tomás Cerný; Alejandro Rodriguez; Pablo Rivas 001; Jorge Yero; Korn Sooksatra; Alibek Zhakubayev; Davide Taibi 001 (IEEE Access, 2024)

Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach. - Ernesto Quevedo; Jorge Yero; Rachel Koerner; Pablo Rivas 001; Tomás Cerný (CoRR, 2024)

Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. - Bikram Khanal; Pablo Rivas 001; Arun Sanjel; Korn Sooksatra; Ernesto Quevedo; Alejandro Rodríguez Pérez (CoRR, 2024)

Evaluating ChatGPT's Proficiency in Understanding and Answering Microservice Architecture Queries Using Source Code Insights. - Ernesto Quevedo; Amr S. Abdelfattah; Alejandro Rodriguez; Jorge Yero; Tomás Cerný (SN Comput. Sci., 2024)

Generalization error bound for quantum machine learning in NISQ era - a survey. - Bikram Khanal; Pablo Rivas 001; Arun Sanjel; Korn Sooksatra; Ernesto Quevedo; Alejandro Rodriguez (Quantum Mach. Intell., 2024)