Nicolas Farrugia

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 36

Top Topics

Incremental Learning

Convolutional Neural Networks

Top Venues

Publications

Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. CoRR (2024)
Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding. CoRR (2024)
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 (2023)
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)
Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet
Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields. CoRR (2023)
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Self-Supervised Learning for Few-Shot Bird Sound Classification. CoRR (2023)
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. CoRR (2023)
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. CoRR (2023)
Ilyass Moummad, Nicolas Farrugia
Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning. WASPAA (2023)
Ilyass Moummad, Nicolas Farrugia
Supervised Contrastive Learning for Respiratory Sound Classification. CoRR (2022)
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)
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 (2022)
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 (2022)
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 (2022)
Yu Zhang, Nicolas Farrugia, Pierre Bellec
Deep learning models of cognitive processes constrained by human brain connectomes. Medical Image Anal. 80 (2022)
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)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification. CoRR (2021)
Myriam Bontonou, Giulia Lioi, Nicolas Farrugia, Vincent Gripon
Few-Shot Decoding of Brain Activation Maps. EUSIPCO (2021)
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 (2020)
Nicolas Pajusco, Richard Huang, Nicolas Farrugia
Lightweight Convolutional Neural Networks on Binaural Waveforms for Low Complexity Acoustic Scene Classification. DCASE (2020)
Myriam Bontonou, Nicolas Farrugia, Vincent Gripon
Few-shot Learning for Decoding Brain Signals. CoRR (2020)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS (2020)
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 (2019)
Yusuf Yigit Pilavci, Nicolas Farrugia
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. CoRR (2019)
Yusuf Yigit Pilavci, Nicolas Farrugia
Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. ICASSP (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR (2019)
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)
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) (2019)
Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS (2019)
Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR (2018)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Transfer Incremental Learning using Data Augmentation. CoRR (2018)
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. CoRR (2017)
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)
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel
Incremental learning on chip. GlobalSIP (2017)
Mathilde Ménoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. GlobalSIP (2017)
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 (2015)
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) (2009)
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)
Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine
A Parallel Face Detection System Implemented on FPGA. ISCAS (2007)
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) (2007)