Nicolas Farrugia
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Gradients of connectivity as graph Fourier bases of brain activityNetwork Neuroscience, 2021, 5 (2), pp.322-336. ⟨10.1162/netn_a_00183⟩
Article dans une revue
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Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative MemoriesJournal of Signal Processing Systems, 2019, 91 (9), pp.1063-1073. ⟨10.1007/s11265-019-01450-z⟩
Article dans une revue
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Transfer Incremental Learning Using Data AugmentationApplied Sciences, 2018, 8 (12), pp.2512. ⟨10.3390/app8122512⟩
Article dans une revue
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Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various DimensionalitiesICASSP 2023: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10097201⟩
Communication dans un congrès
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Interpolation spatiale de signaux sur graphes avec une application pour la fusion d'ensembles de données EEG de diverses dimensionsGRETSI'23: XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Communication dans un congrès
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Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI DecodingEUSIPCO 2022: 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. pp.937-941, ⟨10.23919/EUSIPCO55093.2022.9909966⟩
Communication dans un congrès
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Élagage de réseaux de neurones convolutifs sur graphes pour la sélection de fréquences significatives pour le décodage d'IRMfGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France
Communication dans un congrès
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Few-Shot Decoding of Brain Activation MapsEUSIPCO 2021: 29th European Signal Processing Conference, Aug 2021, Dublin, Ireland. pp.1326-1330, ⟨10.23919/EUSIPCO54536.2021.9616158⟩
Communication dans un congrès
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Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural NetworksNEWCAS 2020 : 18th IEEE International New Circuits and Systems Conference, Jun 2020, Montréal, Canada. pp.206-209, ⟨10.1109/NEWCAS49341.2020.9159769⟩
Communication dans un congrès
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Efficient Hardware Implementation of Incremental Learning and Inference on ChipNEWCAS 2019 : 17th IEEE International New Circuits and Systems Conference, Jun 2019, Munich, Germany. ⟨10.1109/NEWCAS44328.2019.8961310⟩
Communication dans un congrès
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Comparing linear structure-based and data-driven latent spatial representations for sequence predictionSPIE Optical Engineering + Applications, Aug 2019, San Diego, United States. ⟨10.1117/12.2528450⟩
Communication dans un congrès
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Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality ReductionGlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montreal, Canada. pp.618 - 622, ⟨10.1109/GlobalSIP.2017.8309033⟩
Communication dans un congrès
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An Intrinsic Difference Between Vanilla RNNs and GRU ModelsCOGNITIVE 2017 : Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.76 - 81
Communication dans un congrès
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Incremental Learning on ChipGlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montréal, Canada. ⟨10.1109/GlobalSIP.2017.8309068⟩
Communication dans un congrès
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Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative MemoriesSIPS 2017 : IEEE International Workshop on Signal Processing Systems, Oct 2017, Lorient, France. pp.1 - 4, ⟨10.1109/SiPS.2017.8109978⟩
Communication dans un congrès
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Finding All Matches in a Database using Binary Neural NetworksCOGNITIVE 2017: The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. pp.59-64
Communication dans un congrès
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Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks2018
Pré-publication, Document de travail
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