Recurrent neural network language model adaptation with curriculum learning

Integrating meta-information into recurrent neural network language models

Exploiting the succeeding words in recurrent neural network language models

K-component adaptive recurrent neural network language models

K-component recurrent neural network language models using curriculum learning

Classifying the socio-situational settings of transcripts of spoken discourses

Recurrent neural networks for language understanding

Speed up of recurrent neural network language models with sentence independent subsampling stochastic gradient decent

Dynamic Bayesian socio-situational setting classification

Adaptive language modeling with a set of domain dependent models

MediaEval 2012 Tagging Task: Prediction based on One Best List and Confusion Networks

Higher order iteration schemes for unconstrained optimization

Combining topic specific language models

Socio-situational setting classification based on language use

A perceptual blurring metric for compressed video

Language modelling with dynamic Bayesian networks using conversation types and part of speech information

Perceivable artifacts in compressed video and their relation to video quality