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The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a ta ...
This research investigates the measurement of perceptions by means of adjectives freely reported by respondents in semi-open questions. It involved the use of semi-open responses of 1'763 Swiss individuals to develop indicators for a latent variable repres ...
This research investigates the measurement of perceptions by means of adjectives freely reported by respondents in semi-open questions. The objective of this work is to use these adjectives as indicators of perceptions in hybrid choice models (HCM) in orde ...
In this paper, we present an analysis of the impact of perceptions on transport mode choice. Traditional revealed preference surveys very often only involve questions leading to the collection of quantitative data, discrete or continuous, but little attent ...