Within urban mobility ecosystem, Mobility-as-a-Service (MaaS) has come up as a promising approach to promote sustainable modes of transport and increase the attractiveness of public and shared multimodal mobility. It aims to become a viable alternative to personal cars for door-to-door trips. The long-term objective of MaaS is to change the people'...
Dans une ère où la technologie et les données définissent l'expérience quotidienne, le microciblage comportemental émerge comme une stratégie clé dans la formation des perceptions individuelles et collectives. L'analyse de l'audience joue un rôle central, permettant de comprendre les motivations et les attitudes des groupes cibles, tandis que le da...
Repetitive, individual exercises can improve the functional ability of stroke survivors over the long term. With the aim of providing extra motivation to adhere to repetitive, individual rehabilitation, this paper presents a robotic coach for stroke rehabilitation. Our system uses the Pepper robot and performs one of twelve data-driven coaching pol...
The videogame industry has exponentially grown in recent years, both in terms of generated revenue and numbers of players around the world. Data-driven videogame business models increasingly rely on both micro-transactions and the monetisation of personal data provided by players. These evolutions have led to personalisation of commercial practices...
We present LexComSpaL2, a novel corpus which can be employed to train personalised word-level difficulty classifiers for learners of Spanish as a foreign/second language (L2). The dataset contains 2,240 in-context target words with the corresponding difficulty judgements of 26 Dutch-speaking students who are learning Spanish as an L2, resulting in ...
The ever-changing landscape of social media coupled with today’s competitive political environment, means that small parties need to use all the tools at their disposal to distinguish themselves from the crowd. The Christian Democrats, a conservative party in the Swedish parliament, has been trying to do exactly that. In recent years, they have cha...
Federated Learning (FL) is widely favoured in the training of machine learning models due to its privacy-preserving and data diversity benefits. In this research paper, we investigate an extension of FL referred to as Personalized Federated Learning (PFL) for the purpose of training diffusion models. We explore the personalization technique of Tran...
Psychiatric clinics where patients live are only used when the patient cannot
live on their own anymore. Stays are kept as short as possible and patients are
stimulated to reintegrate and live on their own again (GGZ Noord-Holland-
Noord, n.d.). For patients with the prospect of moving out again, this now often
fails, because the difference between liv...
Building envelopes are extremely significant in providing adequate indoor environment. They have tremendous impact on the energy requirements of buildings. The design methodology associated with building envelopes primarily addresses optimization for improving indoor environmental quality and energy efficiency of the buildings. This process does no...
The invention relates to a computer implemented method for real-time emotion recognition from a real-time audio signal. The method includes transcribing, into text, an audio speech signal contained in the audio signal by an automatic speech recognition model, and computing, by a speech representation model, a joint representation vector correspondi...
