Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Ana I. Torre-Bastida; Jesus L. Lobo; Miren Nekane Bilbao; Javier Del Ser (IDC, 2018)

A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications. - Maria Arostegi; Ana I. Torre-Bastida; Miren Nekane Bilbao; Javier Del Ser (Expert Syst. J. Knowl. Eng., 2018)

SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Jesus L. Lobo; Javier Del Ser (IAL@PKDD/ECML, 2021)

Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture. - Maria Arostegi; Diana Manjarres; Sonia Bilbao 001; Javier Del Ser (SOCO, 2021)

Edge intelligence secure frameworks: Current state and future challenges. - Esther Villar-Rodriguez; María Arostegi Pérez; Ana I. Torre-Bastida; Cristina Regueiro Senderos; Juan López-de-Armentia (Comput. Secur., 2023)

AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency. - Maria Arostegi; Miren Nekane Bilbao; Jesus L. Lobo; Javier Del Ser (CoRR, 2024)

AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams. - Maria Arostegi; Miren Nekane Bilbao; Jesus L. Lobo; Javier Del Ser (CoRR, 2025)