Nombre de documents

16

Nicolas Farrugia's CV


Article dans une revue9 documents

  • Kelly Jakubowski, Zaariyah Bashir, Nicolas Farrugia, Lauren Stewart. Involuntary and voluntary recall of musical memories: A comparison of temporal accuracy and emotional responses. Memory and Cognition, Springer Verlag, 2018, 46 (5), pp.741 - 756. 〈10.3758/s13421-018-0792-x〉. 〈hal-01875908〉
  • Simone Dalla Bella, Charles-Etienne Benoit, Nicolas Farrugia, Peter Keller, Hellmuth Obrig, et al.. Gait improvement via rhythmic stimulation in Parkinson’s disease is linked to rhythmic skills. Scientific Reports, Nature Publishing Group, 2017, 7, pp.42005. 〈10.1038/srep42005〉. 〈hal-01771575〉
  • Simone Dalla Bella, Nicolas Farrugia, Charles-Etienne Benoit, Valentin Bégel, Laura Verga, et al.. BAASTA: Battery for the Assessment of Auditory Sensorimotor and Timing Abilities. Behavior Research Methods, Psychonomic Society, Inc, 2017, 49 (3), pp.1128 - 1145. 〈10.3758/s13428-016-0773-6〉. 〈hal-01771545〉
  • Kelly Jakubowski, Nicolas Farrugia, Lauren Stewart. Probing imagined tempo for music: Effects of motor engagement and musical experience. Psychology of Music, SAGE Publications, 2016, 44 (6), pp.1274 - 1288. 〈10.1177/0305735615625791〉. 〈hal-01778664〉
  • Kelly Jakubowski, Nicolas Farrugia, Andrea Halpern, Sathish Sankarpandi, Lauren Stewart. The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday life. Memory and Cognition, Springer Verlag, 2015, 43 (8), pp.1229 - 1242. 〈10.3758/s13421-015-0531-5〉. 〈hal-01778665〉
  • Nicolas Farrugia, Kelly Jakubowski, Rhodri Cusack, Lauren Stewart. Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure. Consciousness and Cognition, Elsevier, 2015, 35, pp.66-77. 〈10.1016/j.concog.2015.04.020〉. 〈hal-01771603〉
  • Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine. Fast and Robust Face Detection on a Parallel Optimized Architecture implemented on FPGA. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers, 2009, 19 (4), pp.597-602. 〈hal-00640765〉
  • Nicolas Farrugia, Franck Mamalet, Sébastien Roux, Fan Yang, Michel Paindavoine. Design of a Real-time face detection parallel architecture using High-Level Synthesis. EURASIP Journal on Embedded Systems, SpringerOpen, 2008, pp.Article ID 928256. 〈hal-00640773〉
  • Vincent Brost, Fan Yang, Michel Paindavoine, Nicolas Farrugia. Multiple Modular VLIW Processors based on FPGA. Journal of Electronic Imaging, SPIE and IS&T, 2007, pp.Article ID 24163. 〈hal-00640783〉

Communication dans un congrès7 documents

  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Finding All Matches in a Database using Binary Neural Networks. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. Proceedings COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, pp.59 - 64, 2017. 〈hal-01522646〉
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. SIPS 2017 : IEEE International Workshop on Signal Processing Systems, Oct 2017, Lorient, France. Proceedings SIPS 2017 : IEEE International Workshop on Signal Processing Systems, pp.1 - 4, 2017, 〈10.1109/SiPS.2017.8109978〉. 〈hal-01656152〉
  • Mathilde Menoret, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon. Evaluating Graph Signal Processing for Neuroimaging Through Classification and Dimensionality Reduction. GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, Nov 2017, Montreal, Canada. Proceedings GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing, pp.618 - 622, 2017, 〈10.1109/GlobalSIP.2017.8309033〉. 〈hal-01761345〉
  • Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Incremental Learning on Chip. GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing - Symposium on Signal Processing for Accelerating Deep Learning, Nov 2017, Montréal, Canada. Proceedings GlobalSIP 2017 : 5th IEEE Global Conference on Signal and Information Processing - Symposium on Signal Processing for Accelerating Deep Learning, 2017. 〈hal-01754847〉
  • Tristan Stérin, Nicolas Farrugia, Vincent Gripon. An Intrinsic Difference Between Vanilla RNNs and GRU Models. COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, Feb 2017, Athènes, Greece. Proceedings COGNITIVE 2017 : The Ninth International Conference on Advanced Cognitive Technologies and Applications, pp.76 - 81, 2017. 〈hal-01522887〉
  • Nicolas Farrugia. Perception et imagerie mentale musicale : que peut nous dire la musique sur le fonctionnement du cerveau ?. 3èmes Journées Perception Sonore, Jun 2017, Brest, France. 2017, 〈http://www.univ-brest.fr/JPS2017〉. 〈hal-01559181〉
  • Vincent Gripon, Ghouthi Boukli Hacene, Nicolas Farrugia, Matthieu Arzel, Michel Jezequel. Incremental learning on chip. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, France. IEEE, 〈10.1109/GlobalSIP.2017.8309068〉. 〈hal-01875912〉