Eduardo Mosqueira-Rey

Orcid: 0000-0002-4894-1067

According to our database1, Eduardo Mosqueira-Rey authored at least 40 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach.
Neural Comput. Appl., February, 2024

Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning.
CoRR, 2024

Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach.
CoRR, 2024

2023
Human-in-the-loop machine learning: a state of the art.
Artif. Intell. Rev., April, 2023

Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast.
CoRR, 2023

Usability Heuristics and Guidelines for RESTful APIs and Application to a Case Study.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Usability Heuristics and Guidelines for RESTful APIs and Application to the Twitter API.
Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems, 2023

Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2023

Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries.
Proceedings of the Computational Science - ICCS 2023, 2023

Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients.
Proceedings of V XoveTIC Conference, 2022

A classification and review of tools for developing and interacting with machine learning systems.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021
Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Usability heuristics for domain-specific languages (DSLs).
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2018
A systematic approach to API usability: Taxonomy-derived criteria and a case study.
Inf. Softw. Technol., 2018

A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces.
Int. J. Hum. Comput. Interact., 2018

A heuristic evaluation of the user and programming interfaces of a sleep medicine application.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
A knowledge model for the development of a framework for hypnogram construction.
Knowl. Based Syst., 2017

Usability evaluation and development of heuristics for second-screen applications.
Proceedings of the Symposium on Applied Computing, 2017

2014
A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device.
Int. J. Hum. Comput. Interact., 2014

2012
Prosaico: Characterisation of objectives within the scope of an intelligent system for sport advising.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Prosaico: An Intelligent System for the Management of a Sports Facility.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

2010
A Context-of-Use Taxonomy for Usability Studies.
Int. J. Hum. Comput. Interact., 2010

Usability: A Critical Analysis and a Taxonomy.
Int. J. Hum. Comput. Interact., 2010

Multimedia Elements in a Hybrid Multi-Agent System for the Analysis of Web Usability.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
A Multi-agent System Based on Evolutionary Learning for the Usability Analysis of Websites.
Proceedings of the Intelligent Agents in the Evolution of Web and Applications, 2009

A Snort-based agent for a JADE multi-agent intrusion detection system.
Int. J. Intell. Inf. Database Syst., 2009

Causal temporal constraint networks for representing temporal knowledge.
Expert Syst. Appl., 2009

Usability Taxonomy and Context-of-Use Taxonomy for Usability Analysis.
Proceedings of the IEEE International Conference on Systems, 2009

An HTML analyzer for the study of web usability.
Proceedings of the IEEE International Conference on Systems, 2009

2008
An expert system to achieve fuzzy interpretations of validation data.
Expert Syst. Appl., 2008

2007
A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

2006
Interpretation of Group Measurements of Validation Data Using Fuzzy Techniques in an Object-Oriented Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

2004
Integrating GOMS models and logging methods into a single tool for evaluating the usability of intelligent systems.
Proceedings of the IEEE International Conference on Systems, 2004

2003
Design of a Validation Tool Based on Design Patterns for Intelligent Systems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
Intelligent interpretation of validation data.
Expert Syst. Appl., 2002

1999
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study.
Artif. Intell. Medicine, 1999

1997
Information analysis and validation of intelligent monitoring systems in intensive care units.
IEEE Trans. Inf. Technol. Biomed., 1997

A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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