Nicholas Mamo

Nicholas Mamo
University of Malta · Department of Artificial Intelligence

B.Sc. ICT (AI); M.Sc. ICT (AI)

About

7
Publications
812
Reads
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38
Citations
Additional affiliations
June 2017 - June 2020
University of Malta
Position
  • Research Officer
Description
  • Part of a team that developed a web portal called Dwarna. Dwarna invites individuals to provide a biospecimen, such as a blood sample, to participate in research. These individuals can then use Dwarna to dynamically give and withdraw consent to participate in research. This system of dynamic consent facilitates scientific research. Dwarna stores the consent changes securely in a blockchain.
Education
October 2017 - March 2019
University of Malta
Field of study
  • Artificial of Intelligence
October 2014 - June 2017
University of Malta
Field of study
  • Artificial of Intelligence

Publications

Publications (7)
Article
Full-text available
Dynamic consent aims to empower research partners and facilitate active participation in the research process. Used within the context of biobanking, it gives individuals access to information and control to determine how and where their biospecimens and data should be used. We present Dwarna—a web portal for ‘dynamic consent’ that acts as a hub co...
Article
Full-text available
Topic Detection and Tracking (TDT) on Twitter emulates human identifying developments in events from a stream of tweets, but while event participants are important for humans to understand what happens during events, machines have no knowledge of them. Our evaluation on football matches and basketball games shows that identifying event participants...
Conference Paper
Full-text available
Humans first learn, then think and finally perform a task. Machines neither learn nor think, but we still expect them to perform tasks as well as humans. In this position paper, we address the lack of understanding in Topic Detection and Tracking (TDT), an area that builds timelines of events, but which hardly understands events at all. Without und...
Conference Paper
Full-text available
With its large volume of data and free access to information, Twitter revolutionised Topic Detection and Tracking (TDT). Thanks to Twitter, TDT could build timelines of real-world events in real-time. However, over the years TDT struggled to adapt to Twitter’s noise. While TDT’s solutions stifled noise, they also kept the area from building granula...
Conference Paper
Full-text available
People all over the world talk as events unfold, but what does it take for a machine to truly track an event? Event TimeLine Detection (ELD) is a real-time Topic Detection and Tracking (TDT) solution to track events using Twitter with the hypothesis that it takes a deeper understanding of the event's domain for a machine to describe its evolution....
Chapter
Full-text available
Every day, an immeasurable number of news items are published. Social media greatly contributes to the dissemination of information, making it difficult to stay on top of what is happening. Twitter stands out among popular social networks due to its large user base and the immediateness with which news is spread. In this paper, we present a soluti...

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