The COVID-19 pandemic triggered a wave of novel scientific literature that is impossible to inspect and study in a reasonable time frame manually. Current machine learning methods offer to project such body of literature into the vector space, where similar documents ar...

Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computational argumentation to perform reasoning and provide consistent and explainable answers. W...

{"references": ["M. Swan, \"Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking,\" International Journal of Environmental Research and Public Health, vol. 6, no. 2, pp. 492\u20...

In the past year, the discourse on the COVID-19 pandemic has produced a great number of metaphors stemming from the more basic conceptual metaphor ILLNESS IS WAR. In this paper, we present a semi-automatic method to detect linguistic manifestations of the latter in Slov...

Presentation given on 28 September during the webinar "Disponibilità e uso dei dati epidemiologici in pandemia: difficoltà e opportunità", belonging to the event series "Open Science e Covid-19. Collaborare per contrastare la pandemia...

Given the Covid-19 pandemic, the retail industry shifts many business models to enable more online purchases that produce large transaction data quantities (i.e., big data). Data science methods infer seasonal trends about products from this data and spikes in purchases...

Understanding team collaboration processes is key for the development of new technologies towards increasing groups effectiveness. In particular, the need and challenges of coordinating potentially large-scale, self-organized, collaborative initiatives have been made ev...

The aim of the TRIPLE project (https://www.gotriple.eu/ ) is to help social sciences and humanities (SSH) research in Europe to gain visibility, to be more efficient and effective, to improve its reuse within the SSH and beyond, and to dramatically increase its societal...

For the analysis of COVID-19 pandemic data, we propose Bayesian multinomial and Dirichlet-multinomial autoregressive models for time-series of counts of patients in mutually exclusive and exhaustive observational categories, defined according to the severity of the pati...

International audience; We conducted a pilot study to evaluate the potential and feasibility of back-support exoskeletons to help the caregivers in the Intensive Care Unit (ICU) of the University Hospital of Nancy (France) executing Prone Positioning (PP) maneuvers on p...