Federico Raimondo

17 papers A 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Impact of leakage on data harmonization in machine learning pipelines in class imbalance across sites. Neurocomputing Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil
2025	J	`jnl`	Overview of leakage scenarios in supervised machine learning. J. Big Data 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
2025	J	`jnl`	Region-wise stacking ensembles for estimating brain-age using MRI. CoRR Georgios Antonopoulos, Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil
2025	J	`jnl`	Region-wise stacking ensembles for estimating brain-age using structural MRI. Comput. Biol. Medicine Georgios Antonopoulos, Shammi More, Simon B. Eickhoff, Federico Raimondo, Kaustubh R. Patil
2024	—	`conf`	FastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy. ISBI Federico Raimondo, Georgios Antonopoulos, Simon B. Eickhoff, Kaustubh R. Patil
2024	J	`jnl`	Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites. CoRR Nicolás Nieto, Simon B. Eickhoff, Christian Jung, Martin Reuter, Kersten Diers, Malte Kelm, Artur Lichtenberg, Federico Raimondo, Kaustubh R. Patil
2023	J	`jnl`	A systematic comparison of VBM pipelines and their application to age prediction. NeuroImage Georgios Antonopoulos, Shammi More, Federico Raimondo, Simon B. Eickhoff, Felix Hoffstaedter, Kaustubh R. Patil
2023	J	`jnl`	Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 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
2023	J	`jnl`	Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models. CoRR Sami Hamdan, Shammi More, Leonard Sasse, Vera Komeyer, Kaustubh R. Patil, Federico Raimondo
2023	J	`jnl`	On Leakage in Machine Learning Pipelines. CoRR 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
2022	J	`jnl`	Predicting the loss of responsiveness when falling asleep in humans. NeuroImage Mélanie Strauss, Jacobo D. Sitt, Lionel Naccache, Federico Raimondo
2021	J	`jnl`	How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness. NeuroImage Riku Ihalainen, Olivia Gosseries, Frederik Van de Steen, Federico Raimondo, Rajanikant Panda, Vincent Bonhomme, Daniele Marinazzo, Howard Bowman, Steven Laureys, Srivas Chennu
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
2017	J	`jnl`	Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort
2016	—	`conf`	Automated rejection and repair of bad trials in MEG/EEG. PRNI Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort
2012	A	`conf`	An improved CUDA-based implementation of differential evolution on GPU. GECCO A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong
2012	J	`jnl`	CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis. Comput. Intell. Neurosci. Federico Raimondo, Juan E. Kamienkowski, Mariano Sigman, Diego Fernández Slezak