ARE is a non-linear dimensionality reduction technique for embedding observation trajectories, which captures state dynamics that traditional methods do not. The core of ARE is a semidefinite optimization with constraints requiring actions to be distance-preserving in the resulting embedding. Unfortunately, these constraints are quadratic in number and non-local (making recent scaling tricks in...

OBJECTIVE To increase the awareness among at risk relatives of the availability of genetic testing for a familial disorder while respecting their autonomy and privacy. METHODS This was a comparison of preintervention and postintervention cohorts of families carried out in a state wide clinical service providing genetic counselling and testing for people at risk of familial adult onset cancer....

The Internet and World Wide Web have brought us into a world of endless possibilities: interactive Web sites to experience, music to listen to, conversations to participate in, and every conceivable consumer item to order. But this world also is one of endless choice: how can we select from a huge universe of items of widely varying quality? Computational recommender systems have emerged to add...

Automatically determining anomalies in human behavior is an important tool in ambient assisted living, especially when it concerns elderly people that for several reasons cannot be continuously monitored and assisted by a caregiver or a family member. This paper proposes a network of low cost RGB-D sensors with no overlapping fields-of-view, capable of identifying anomalous behaviors with respe...

Ambient assisted living is a new interdisciplinary field aiming at supporting senior citizens in their home by means of embedded technologies. This domain offer an interesting challenge for providing dependability and security in a privacy-respecting way: in order to provide services in an emergency we cannot monitor on a second-by-second base a senior citizen. Beside being immoral, it would be...

This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of related mobile data analysis methodologies. First we review the Lausanne Data Collection Campaign (LDCC) – an initiative to collect unique, longitudinal smartphone data set for the basis o...

the private area (privacy) is a humanitarian issue and one of the concepts of developed lawful systems which is closely related to human dignity. therefore, supporting and protecting the individuals' personalities and the citizens' rights requires protection of privacy, which leads to human signification. privacy is not clearly and meaningfully supported, in iranian law. like the posi...

Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout Artificial Intelligence (AI) services in near-term. However, things have started to change, owing increased adoption data democratisation processes, capability offered by emerging technologies sharing while respecting privacy, pro...

In autonomous distributed healthcare environments, patients’ electronic medical records are controlled and managed by each healthcare facility. It is important to ensure that when records are accessed and transferred that it is done securely, while still respecting patients’ rights on privacy and confidentiality of their personal health information. We propose a new tag-based data model for rep...

We present Dexter, a browser-based, general purpose data exploration system for end-users. Dexter enables end-users to easily query across multiple Web-accessible heterogeneous (semi-) structured data sources with higher expressivity than that is usually directly supported by the sources. A novelty of our approach lies in the client-sided evaluation of end-user queries. Our query evaluation tec...