Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams. - Diego Marron; Albert Bifet; Gianmarco De Francisci Morales (ECAI, 2014)

Echo State Hoeffding Tree Learning. - Diego Marron; Jesse Read; Albert Bifet; Talel Abdessalem; Eduard Ayguadé; José R. Herrero 001 (ACML, 2016)

Low-latency multi-threaded ensemble learning for dynamic big data streams. - Diego Marron; Eduard Ayguadé; José R. Herrero 001; Jesse Read; Albert Bifet (IEEE BigData, 2017)

Data stream classification using random feature functions and novel method combinations. - Diego Marron; Jesse Read; Albert Bifet; Nacho Navarro (J. Syst. Softw., 2017)

Resource-aware Elastic Swap Random Forest for Evolving Data Streams. - Diego Marrón; Eduard Ayguadé; José Ramon Herrero 001; Albert Bifet (CoRR, 2019)

Improving decision tree and neural network learning for evolving data-streams. - Diego Marrón (2019)

Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics. - Anna Maria Nestorov; Diego Marrón; Alberto Gutierrez-Torre; Chen Wang 039; Claudia Misale; Alaa Youssef; David Carrera 001; Josep Lluís Berral (Middleware, 2024)

Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. - Ramon Canal; Stefano Di Carlo; Dimitris Gizopoulos; Alberto Scionti; Francesco Lubrano; Josep Lluis Berral; Aaron Call; Diego Marron; Konstantinos Nikas; Dionisios N. Pnevmatikatos; Daniel Raho; Alvise Rigo; et al. (CoRR, 2024)

Enabling an OpenStack-based cloud on top of RISC-V hardware. - Diego Marrón; Aaron Call; Josep Lluís Berral; Ramon Nou (CoRR, 2024)