New publication in the ECML PKDD 2021 conference
Our research work “CURIE: A Cellular Automaton for Concept Drift Detection” has been accepted in the journal track of the ECML PKDD 2021 conference. It will be presented in […]
June 2021
October 2020
New journal publication: “LUNAR: Cellular automata for drifting data streams”
Now you can check out our latest pubication in the Information Sciences scientific journal: “LUNAR: Cellular automata for drifting data streams”, by Jesus L. Lobo, Javier Del Ser, and Franscisco Herrera.
Summary:With the advent […]
February 2020
New journal publication: “Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants”
Now you can check out our latest pubication in the Energies journal (Q2): “Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants”. Here, Jesus […]
December 2019
New post about Stream Learning and Concept Drift on KDnuggets
Our JRL member Jesús López Lobo has recently published a post on the reputed data science blog KDnuggets, where he introduces one of the current hottest topics in Machine Learning: […]
New journal publication: “Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning”
It is a great pleasure to announce that our last research on Spiking Neural Networks and Stream Learning. Jesús López Lobo, Izaskun Oregi and Javier Del Ser, in collaboration with Albert Bifet, have […]
September 2019
New journal publication: “Spiking Neural Networks and online learning: An overview and perspectives”
It is a great pleasure to share with you our latest scientific publication in the Neural Networks journal (Q1 JCR). Jesús López Lobo and Javier Del Ser, in collaboration […]
JRL members were awarded the “European DatSci & AI Awards 2019”
Each year the DatSci Awards has gone from strength to strength, with the 4th Annual Awards set to be the best yet. Yesterday was a full day event hosted […]
March 2019
JMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
Izaskun Oregi and Javier Del Ser, both members of the JRL, have contributed to the development of JMetalPy, a Python framework for multi-objective optimization with metaheuristics. Concretely, they have developed a […]
February 2019
New Journal publication: Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
Members of the JRL, Jesus L. Lobo and Ibai Laña have collaborated in the development of the paper Modelling gene interaction networks from time-series gene expression data using evolving […]
January 2019
Javier Del Ser contributes to the “Strategic Plan for Artificial Intelligence” of Spain
Javier Del Ser (member and coordinator of the JRL) is one of the prominent experts that have contributed to the elaboration of the “Strategic Plan for Artificial Intelligence” of Spain, and will […]
