126 results on '"Georges Linarès"'
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2. Serial Speakers: a Dataset of TV Series.
3. E2E-SINCNET: Toward Fully End-To-End Speech Recognition.
4. M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding.
5. Real to H-Space Encoder for Speech Recognition.
6. Bidirectional Quaternion Long Short-term Memory Recurrent Neural Networks for Speech Recognition.
7. Quaternion Convolutional Neural Networks for Heterogeneous Image Processing.
8. A survey of quaternion neural networks.
9. Real to H-Space Autoencoders for Theme Identification in Telephone Conversations.
10. Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition.
11. Quaternion Convolutional Neural Networks For Theme Identification Of Telephone Conversations.
12. Extraction and Analysis of Dynamic Conversational Networks from TV Series.
13. Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations (extended abstract).
14. Graph embeddings for Abusive Language Detection.
15. Remembering winter was coming - Character-oriented video summaries of TV series.
16. Conversational Networks for Automatic Online Moderation.
17. Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations.
18. Deep quaternion neural networks for spoken language understanding.
19. Impact of Content Features for Automatic Online Abuse Detection.
20. Detection of abusive messages in an on-line community.
21. Réseaux de neurones de quaternions pour le traitement du langage.
22. Graph-Based Features for Automatic Online Abuse Detection.
23. Quaternion Recurrent Neural Networks.
24. Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniques.
25. Deep Stacked Autoencoders for Spoken Language Understanding.
26. Spoken Language Understanding in a Latent Topic-Based Subspace.
27. Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech Recognition.
28. Auto-encodeurs pour la compréhension de documents parlés (Auto-encoders for Spoken Document Understanding).
29. Un Sous-espace Thématique Latent pour la Compréhension du Langage Parlé (A Latent Topic-based Subspace for Spoken Language Understanding).
30. Un Corpus de Flux TV Annotés pour la Prédiction de Genres (A Genre Annotated Corpus of French Multi-channel TV Streams for Genre Prediction).
31. Predicting popularity dynamics of online contents using data filtering methods.
32. Learning Word Importance with the Neural Bag-of-Words Model.
33. Document level semantic context for retrieving OOV proper names.
34. Réseaux de neurones pour la représentation des contextes continus des mots.
35. A log-linear weighting approach in the Word2vec space for spoken language understanding.
36. Parallel Long Short-Term Memory for multi-stream classification.
37. Quaternion Neural Networks for Spoken Language Understanding.
38. Improving multi-stream classification by mapping sequence-embedding in a high dimensional space.
39. Narrative smoothing: Dynamic conversational network for the analysis of TV series plots.
40. Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition.
41. Denoised Bottleneck Features From Deep Autoencoders for Telephone Conversation Analysis.
42. Initialisation de Réseaux de Neurones à l'aide d'un Espace Thématique.
43. Apport de l'information temporelle des contextes pour la représentation vectorielle continue des mots.
44. Topic-space based setup of a neural network for theme identification of highly imperfect transcriptions.
45. Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions.
46. Audiovisual speaker diarization of TV series.
47. OOV Proper Name retrieval using topic and lexical context models.
48. Détection de locuteurs dans les séries TV.
49. Dynamiques des popularités dans YouTube.
50. Identification de personnes dans des flux multimédia.
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