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ORCIDErnesto Quevedo Caballero
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2020 – today
- 2024
[j2]Ernesto Quevedo
, Tomás Cerný, Alejandro Rodriguez, Pablo Rivas, Jorge Yero, Korn Sooksatra, Alibek Zhakubayev, Davide Taibi:
Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. IEEE Access 12: 145286-145317 (2024)- [j1]Ernesto Quevedo, Amr S. Abdelfattah, Alejandro Rodriguez, Jorge Yero, Tomás Cerný:
Evaluating ChatGPT's Proficiency in Understanding and Answering Microservice Architecture Queries Using Source Code Insights. SN Comput. Sci. 5(4): 422 (2024) - [c5]Dario Amoroso d'Aragona, Alexander Bakhtin, Xiaozhou Li, Ruoyu Su, Lauren Adams, Ernesto Aponte, Francis Boyle, Patrick Boyle, Rachel Koerner, Joseph Lee, Fangchao Tian, Yuqing Wang, Jesse Nyyssölä, Ernesto Quevedo, Md Shahidur Rahaman, Amr S. Abdelfattah, Mika Mäntylä, Tomás Cerný, Davide Taibi:
A Dataset of Microservices-based Open-Source Projects. MSR 2024: 504-509 - [i2]Ernesto Quevedo, Jorge Yero, Rachel Koerner, Pablo Rivas, Tomás Cerný:
Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach. CoRR abs/2405.19648 (2024) - [i1]Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodríguez Pérez:
Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. CoRR abs/2409.07626 (2024) - 2023
- [c4]Ernesto Quevedo Caballero, Michael Jeff Donahoo, Tomás Cerný:
Fairness Analysis of Deep Reinforcement Learning based Multi-Path QUIC Scheduling. SAC 2023: 1772-1781 - 2022
- [c3]Ernesto Quevedo Caballero:
Dual architecture for name entity extraction and relation extraction with applications in medical corpora: student research abstract. SAC 2022: 883-888 - 2020
- [c2]Alejandro Rodríguez Pérez, Ernesto Quevedo Caballero, Jorge Mederos Alvarado, Rocío Cruz Linares, Juan Pablo Consuegra-Ayala:
UH-MAJA-KD at eHealth-KD Challenge 2020. IberLEF@SEPLN 2020: 125-135
2010 – 2019
- 2019
- [c1]Jorge Mederos Alvarado, Ernesto Quevedo Caballero, Alejandro Rodríguez Pérez, Rocío Cruz Linares:
UH-MAJA-KD at eHealth-KD Challenge 2019: Deep Learning Models for Knowledge Discovery in Spanish eHealth Documents. IberLEF@SEPLN 2019: 85-94
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