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2024	Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice ACM Transactions on Software Engineering and Methodology Bentley James Oakes, Michalis Famelis, Houari Sahraoui
2023	Lecture Notes in Networks and Systems Hugo López-Fenández, Miguel Pinto, Cristina P. Vieira, Pedro Duque, Miguel Reboiro-Jato, Jorge Vieira
2023	MyBrain-Seq: A Pipeline for MiRNA-Seq Data Analysis in Neuropsychiatric Disorders Biomedicines Daniel Pérez-Rodríguez, Roberto Carlos Agís-Balboa, Hugo López-Fernández
2023	Lecture Notes in Networks and Systems Daniel Pérez-Rodríguez, Mateo Pérez-Rodríguez, Roberto C. Agís-Balboa, Hugo López-Fernández
2023	Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection Diagnostics Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández
2022	Lecture Notes in Networks and Systems Hugo López-Fernández, Pedro Ferreira, Miguel Reboiro-Jato, Cristina P. Vieira, Jorge Vieira
2022	Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets Diagnostics Alba Nogueira-Rodríguez, Miguel Reboiro-Jato, Daniel Glez-Peña, Hugo López-Fernández
2022	Real-time polyp detection model using convolutional neural networks Neural Computing and Applications Alba Nogueira-Rodríguez, Rubén Domínguez-Carbajales, Fernando Campos-Tato, Jesús Herrero, Manuel Puga, David Remedios, Laura Rivas, Eloy Sánchez, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez-Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, Daniel Glez-Peña