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ORCIDNicolas Farrugia
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2020 – today
- 2024
[c15]Ilyass Moummad, Nicolas Farrugia, Romain Serizel:
Self-Supervised Learning for Few-Shot Bird Sound Classification. ICASSP Workshops 2024: 600-604- [i20]Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen:
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. CoRR abs/2403.09598 (2024) - [i19]Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR abs/2403.15438 (2024) - [i18]Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia:
Domain-Invariant Representation Learning of Bird Sounds. CoRR abs/2409.08589 (2024) - 2023
- [c14]Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. ICASSP 2023: 1-5 - [c13]Ilyass Moummad, Nicolas Farrugia:
Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning. WASPAA 2023: 1-5 - [i17]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. CoRR abs/2309.00878 (2023) - [i16]Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi:
A Strong and Simple Deep Learning Baseline for BCI MI Decoding. CoRR abs/2309.07159 (2023) - [i15]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. CoRR abs/2309.08971 (2023) - [i14]Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet:
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR abs/2312.08933 (2023) - [i13]Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Self-Supervised Learning for Few-Shot Bird Sound Classification. CoRR abs/2312.15824 (2023) - 2022
- [b1]Nicolas Farrugia:
Interdisciplinary approaches for Neurosciences, Artificial Intelligence and Sound. University of Western Brittany, Brest, France, 2022 - [j7]Yu Zhang
, Nicolas Farrugia, Pierre Bellec:
Deep learning models of cognitive processes constrained by human brain connectomes. Medical Image Anal. 80: 102507 (2022) - [c12]Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. EUSIPCO 2022: 937-941 - [i12]Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Pruning Graph Convolutional Networks to select meaningful graph frequencies for fMRI decoding. CoRR abs/2203.04455 (2022) - [i11]Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet:
Learning-based estimation of in-situ wind speed from underwater acoustics. CoRR abs/2208.08912 (2022) - [i10]Ilyass Moummad, Nicolas Farrugia:
Supervised Contrastive Learning for Respiratory Sound Classification. CoRR abs/2210.16192 (2022) - [i9]Yassine El Ouahidi, Lucas Drumetz, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. CoRR abs/2211.02624 (2022) - 2021
- [c11]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Similarity between Base and Novel Classes: a Predictor of the Performance in Few-Shot Classification of Brain Activation Maps? ACSCC 2021: 1288-1291 - [c10]Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon:
Few-Shot Decoding of Brain Activation Maps. EUSIPCO 2021: 1326-1330 - [i8]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR abs/2108.10427 (2021) - 2020
- [j6]Abdelbasset Brahim, Nicolas Farrugia:
Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging. Artif. Intell. Medicine 106: 101870 (2020) - [c9]Nicolas Pajusco, Richard Huang, Nicolas Farrugia:
Lightweight Convolutional Neural Networks on Binaural Waveforms for Low Complexity Acoustic Scene Classification. DCASE 2020: 135-139 - [c8]Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio:
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS 2020: 206-209 - [i7]Myriam Bontonou, Nicolas Farrugia, Vincent Gripon:
Few-shot Learning for Decoding Brain Signals. CoRR abs/2010.12500 (2020)
2010 – 2019
- 2019
- [j5]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. 91(9): 1063-1073 (2019) - [c7]Abdelbasset Brahim, Mehdi Hajjam El Hassani, Nicolas Farrugia:
Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome. CAIP Workshops 2019: 45-55 - [c6]Yusuf Yigit Pilavci, Nicolas Farrugia:
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. ICASSP 2019: 1140-1144 - [c5]Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS 2019: 1-4 - [i6]Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Nicolas Farrugia:
Comparing linear structure-based and data-driven latent spatial representations for sequence prediction. CoRR abs/1908.06868 (2019) - [i5]Yusuf Yigit Pilavci, Nicolas Farrugia:
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. CoRR abs/1910.05149 (2019) - [i4]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR abs/1911.07847 (2019) - 2018
- [i3]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Transfer Incremental Learning using Data Augmentation. CoRR abs/1810.02020 (2018) - [i2]Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio:
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR abs/1812.11337 (2018) - 2017
- [c4]Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP 2017: 618-622 - [c3]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Incremental learning on chip. GlobalSIP 2017: 789-792 - [c2]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel:
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS 2017: 1-6 - [i1]Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR abs/1703.01842 (2017) - 2015
- [j4]Gérard Derosière, Nicolas Farrugia, Stéphane Perrey, Tomas E. Ward, Kjerstin Torre:
Expectations induced by natural-like temporal fluctuations are independent of attention decrement: Evidence from behavior and early visual evoked potentials. NeuroImage 104: 278-286 (2015)
2000 – 2009
- 2009
- [j3]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA. IEEE Trans. Circuits Syst. Video Technol. 19(4): 597-602 (2009) - 2008
- [j2]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
Design of a Real-Time Face Detection Parallel Architecture Using High-Level Synthesis. EURASIP J. Embed. Syst. 2008 (2008) - 2007
- [j1]Vincent Brost, Fan Yang, Michel Paindavoine, Nicolas Farrugia:
Multiple modular very long instruction word processors based on field programmable gate arrays. J. Electronic Imaging 16(2): 023001 (2007) - [c1]Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine:
A Parallel Face Detection System Implemented on FPGA. ISCAS 2007: 3704-3707
Coauthor Index
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