Aalto University-ko ikertzaileekin lankidetzan egindako argitalpenak (12)

2024

  1. Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers

    Machines, Vol. 12, Núm. 1

2023

  1. Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

    NeuroImage, Vol. 277

2021

  1. Controlled generation of luminescent centers in hexagonal boron nitride by irradiation engineering

    Science Advances, Vol. 7, Núm. 8

2020

  1. Fermi velocity renormalization in graphene probed by terahertz time-domain spectroscopy

    2D Materials, Vol. 7, Núm. 3

2019

  1. Lithographic band structure engineering of graphene

    Nature Nanotechnology, Vol. 14, Núm. 4, pp. 340-346

2017

  1. Scaling of graphene field-effect transistors supported on hexagonal boron nitride: Radio-frequency stability as a limiting factor

    Nanotechnology, Vol. 28, Núm. 48

2012

  1. Three-way analysis of structural health monitoring data

    Neurocomputing, Vol. 80, pp. 119-128

2011

  1. Comparative analysis of power consumption in university buildings using envSOM

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. EnvSOM: A SOM algorithm conditioned on the environment for clustering and visualization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Application of SOM-based visualization maps for time-response analysis of industrial processes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Novelty detection in projected spaces for structural health monitoring

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Three-way analysis of structural health monitoring data

    Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010