A survey of quaternion neural networks T Parcollet, M Morchid, G Linares Artificial Intelligence Review 53 (4), 2957-2982, 2020 | 175 | 2020 |
Quaternion recurrent neural networks T Parcollet, M Ravanelli, M Morchid, G Linarès, C Trabelsi, R De Mori, ... arXiv preprint arXiv:1806.04418, 2018 | 171 | 2018 |
Quaternion convolutional neural networks for heterogeneous image processing T Parcollet, M Morchid, G Linarès ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 119 | 2019 |
Quaternion convolutional neural networks for end-to-end automatic speech recognition T Parcollet, Y Zhang, M Morchid, C Trabelsi, G Linarès, R De Mori, ... arXiv preprint arXiv:1806.07789, 2018 | 117 | 2018 |
Feature selection using principal component analysis for massive retweet detection M Morchid, R Dufour, PM Bousquet, G Linares, JM Torres-Moreno Pattern Recognition Letters 49, 33-39, 2014 | 90 | 2014 |
The lia speech recognition system: from 10xrt to 1xrt G Linares, P Nocéra, D Massonie, D Matrouf International Conference on Text, Speech and Dialogue, 302-308, 2007 | 88 | 2007 |
Phoneme Lattice Based A* Search Algorithm for Speech Recognition P Nocera, G Linares, D Massonié, L Lefort Text, Speech and Dialogue: 5th International Conference, TSD 2002 Brno …, 2002 | 54 | 2002 |
Quaternion neural networks for spoken language understanding T Parcollet, M Morchid, PM Bousquet, R Dufour, G Linarès, R De Mori 2016 IEEE Spoken Language Technology Workshop (SLT), 362-368, 2016 | 49 | 2016 |
Imperfect transcript driven speech recognition B Lecouteux, G Linares, P Nocéra, JF Bonastre InterSpeech, 2006 | 49 | 2006 |
Spontaneous speech characterization and detection in large audio database R Dufour, V Jousse, Y Estève, F Béchet, G Linarès SPECOM, St. Petersburg, 2009 | 47 | 2009 |
Improving dialogue classification using a topic space representation and a gaussian classifier based on the decision rule M Morchid, R Dufour, PM Bousquet, M Bouallegue, G Linares, R De Mori 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 45 | 2014 |
E2E-SINCNET: Toward fully end-to-end speech recognition T Parcollet, M Morchid, G Linares ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 43 | 2020 |
Learning word importance with the neural bag-of-words model I Sheikh, I Illina, D Fohr, G Linares ACL, Representation Learning for NLP (Repl4NLP) workshop, 2016 | 42 | 2016 |
Combined low level and high level features for out-of-vocabulary word detection B Lecouteux, G Linares, B Favre Interspeech 2009, 2009 | 38 | 2009 |
Generalized driven decoding for speech recognition system combination B Lecouteux, G Linares, Y Esteve, G Gravier 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 37 | 2008 |
The LIA’s French broadcast news transcription system P Nocera, C Fredouille, G Linarès, D Matrouf, S Meignier, JF Bonastre, ... SWIM: Lectures by Masters in Speech Processing, 2004 | 34 | 2004 |
Deep quaternion neural networks for spoken language understanding T Parcollet, M Morchid, G Linares 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 33 | 2017 |
Bio-inspired models for characterizing YouTube viewcout C Richier, E Altman, R Elazouzi, T Jimenez, G Linares, Y Portilla 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 33 | 2014 |
Impact of content features for automatic online abuse detection E Papegnies, V Labatut, R Dufour, G Linares Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | 32 | 2018 |
Modelling view-count dynamics in youtube C Richier, E Altman, R Elazouzi, T Altman, G Linares, Y Portilla arXiv preprint arXiv:1404.2570, 2014 | 32 | 2014 |