Federico Raimondo

According to our database, Federico Raimondo authored at least 14 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Region-wise stacking ensembles for estimating brain-age using MRI.

Georgios Antonopoulos, Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil

CoRR, January, 2025

2024

Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites.

Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil

CoRR, 2024

FastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy.

Federico Raimondo, Georgios Antonopoulos, Simon B. Eickhoff, Kaustubh R. Patil

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A systematic comparison of VBM pipelines and their application to age prediction.

Georgios Antonopoulos, Shammi More, Federico Raimondo, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil

NeuroImage, October, 2023

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness.

Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt

NeuroImage, 2023

On Leakage in Machine Learning Pipelines.

Leonard Sasse, Eliana Nicolaisen-Sobesky, Juergen Dukart, Simon B. Eickhoff, Michael Götz, Sami Hamdan, Vera Komeyer, Abhijit Kulkarni, Juha Lahnakoski, Bradley C. Love, Federico Raimondo, Kaustubh R. Patil

CoRR, 2023

Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models.

Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo

CoRR, 2023

2022

Predicting the loss of responsiveness when falling asleep in humans.

Mélanie Strauss, Jacobo D. Sitt, Lionel Naccache, Federico Raimondo

NeuroImage, 2022

2021

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness.

Riku Ihalainen, Olivia Gosseries, Frederik Van de Steen, Federico Raimondo, Rajanikant Panda, Vincent Bonhomme, Daniele Marinazzo, Howard Bowman, Steven Laureys, Srivas Chennu

NeuroImage, 2021

2018

Standardisation and automatisation of the diagnosis of patients with disorders of consciousness: a machine learning approach applied to electrophysiological brain and body signals.

Federico Raimondo

PhD thesis, 2018

2017

Autoreject: Automated artifact rejection for MEG and EEG data.

Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort

NeuroImage, 2017

2016

Automated rejection and repair of bad trials in MEG/EEG.

Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2012

CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis.

Federico Raimondo, Juan E. Kamienkowski, Mariano Sigman, Diego Fernández Slezak

Comput. Intell. Neurosci., 2012

An improved CUDA-based implementation of differential evolution on GPU.

A. Kai Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong

Proceedings of the Genetic and Evolutionary Computation Conference, 2012