Nicolas Farrugia

51 papers C 1Misc 2Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can pre-trained Deep Learning models predict groove ratings? CoRR Axel Marmoret, Nicolas Farrugia, Jan Alexander Stupacher
2025	J	`jnl`	AutoMashup: Automatic Music Mashups Creation. CoRR Marine Delabaere, Léa Miqueu, Michael Moreno, Gautier Bigois, Hoang Duong, Ella Fernandez, Flavie Manent, Maria Salgado-Herrera, Bastien Pasdeloup, Nicolas Farrugia, Axel Marmoret
2025	—	`conf`	Data-Driven Identification of Functional Network Changes in Neurofeedback Stroke Rehabilitation: a Clinical Validation of Network-Based Statistics. EUSIPCO Alix Lamouroux, Julie Coloigner, Pierre Maurel, Nicolas Farrugia, Isabelle Bonan, Giulia Lioi
2025	—	`conf`	EEG Correlates of Car Sickness in Naturalistic Driving Conditions. MetroXRAINE Lucas Benoit, Nicolas Farrugia, Eléonore Henry, Clément Bongard, Giulia Lioi
2025	J	`jnl`	REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects. CoRR Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
2024	J	`jnl`	Domain-Invariant Representation Learning of Bird Sounds. CoRR Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia
2024	—	`conf`	Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. EUSIPCO Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen
2024	J	`jnl`	Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. CoRR Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen
2024	—	`conf`	Self-Supervised Learning for Few-Shot Bird Sound Classification. ICASSP Workshops Ilyass Moummad, Nicolas Farrugia, Romain Serizel
2024	J	`jnl`	Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2024	—	`conf`	Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. EUSIPCO Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2024	J	`jnl`	fMRIStroke: A preprocessing pipeline for fMRI Data from Stroke patients. J. Open Source Softw. Alix Lamouroux, Giulia Lioi, Julie Coloigner, Pierre Maurel, Nicolas Farrugia
2023	J	`jnl`	A Strong and Simple Deep Learning Baseline for BCI MI Decoding. CoRR Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi
2023	J	`jnl`	Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet
2023	J	`jnl`	Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2023	—	`conf`	Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning. WASPAA Ilyass Moummad, Nicolas Farrugia
2023	J	`jnl`	Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2023	J	`jnl`	Self-Supervised Learning for Few-Shot Bird Sound Classification. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2023	Misc	`conf`	Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. ICASSP Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Deep learning models of cognitive processes constrained by human brain connectomes. Medical Image Anal. Yu Zhang, Nicolas Farrugia, Pierre Bellec
2022	—	`book`	Interdisciplinary approaches for Neurosciences, Artificial Intelligence and Sound. Nicolas Farrugia
2022	J	`jnl`	Learning-based estimation of in-situ wind speed from underwater acoustics. CoRR Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet
2022	—	`conf`	Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. EUSIPCO Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding. CoRR Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. CoRR Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2022	J	`jnl`	Supervised Contrastive Learning for Respiratory Sound Classification. CoRR Ilyass Moummad, Nicolas Farrugia
2021	—	`conf`	Few-Shot Decoding of Brain Activation Maps. EUSIPCO Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
2021	J	`jnl`	Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2021	—	`conf`	Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020	J	`jnl`	Few-shot Learning for Decoding Brain Signals. CoRR Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
2020	J	`jnl`	Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging. Artif. Intell. Medicine Abdelbasset Brahim, Nicolas Farrugia
2020	—	`conf`	Lightweight Convolutional Neural Networks on Binaural Waveforms for Low Complexity Acoustic Scene Classification. DCASE Nicolas Pajusco, Richard Huang, Nicolas Farrugia
2020	—	`conf`	Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2019	J	`jnl`	Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	—	`conf`	Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome. CAIP Workshops Abdelbasset Brahim, Mehdi Hajjam El Hassani, Nicolas Farrugia
2019	J	`jnl`	Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia
2019	—	`conf`	Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	J	`jnl`	Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2019	Misc	`conf`	Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. ICASSP Yusuf Yigit Pilavci, Nicolas Farrugia
2019	J	`jnl`	Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. CoRR Yusuf Yigit Pilavci, Nicolas Farrugia
2018	J	`jnl`	Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
2018	J	`jnl`	Transfer Incremental Learning using Data Augmentation. CoRR Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	—	`conf`	Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2017	J	`jnl`	Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2017	—	`conf`	Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
2017	—	`conf`	Incremental learning on chip. GlobalSIP Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
2015	J	`jnl`	Expectations induced by natural-like temporal fluctuations are independent of attention decrement: Evidence from behavior and early visual evoked potentials. NeuroImage Gérard Derosière, Nicolas Farrugia, Stéphane Perrey, Tomas E. Ward, Kjerstin Torre
2009	J	`jnl`	Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA. IEEE Trans. Circuits Syst. Video Technol. Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine
2008	J	`jnl`	Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis. EURASIP J. Embed. Syst. Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine
2007	C	`conf`	A Parallel Face Detection System Implemented on FPGA. ISCAS Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine
2007	J	`jnl`	Multiple modular very long instruction word processors based on field programmable gate arrays. J. Electronic Imaging Vincent Brost, Fan Yang, Michel Paindavoine, Nicolas Farrugia