455 citations · 625 across the 9 of their papers we have counts for
11 papers
A Summary of the ComParE COVID-19 Challenges
Harry Coppock, Alican Akman, Christian Bergler +17
The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and c…
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
Jing Han, Tong Xia, Dimitris Spathis +9
Researchers have been battling with the question of how we can identify Coronavirus disease (COVID-19) cases efficiently, affordably and at scale. Recent work has shown how audio b…
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates
Björn W. Schuller, Anton Batliner, Christian Bergler +21
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the CO…
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data
Jing Han, Chloë Brown, Jagmohan Chauhan +6
The development of fast and accurate screening tools, which could facilitate testing and prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this con…
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Chloë Brown, Jagmohan Chauhan, Andreas Grammenos +6
Audio signals generated by the human body (e.g., sighs, breathing, heart, digestion, vibration sounds) have routinely been used by clinicians as indicators to diagnose disease or a…
A Multilayer Approach to Multiplexity and Link Prediction in Online Geo-Social Networks
Desislava Hristova, Anastasios Noulas, Chloë Brown +2
Online social systems are multiplex in nature as multiple links may exist between the same two users across different social networks. In this work, we introduce a framework for st…
Group colocation behavior in technological social networks
Chloë Brown, Neal Lathia, Anastasios Noulas +2
We analyze two large datasets from technological networks with location and social data: user location records from an online location-based social networking service, and anonymiz…
The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies
Chloë Brown, Christos Efstratiou, Ilias Leontiadis +4
The layouts of the buildings we live in shape our everyday lives. In office environments, building spaces affect employees' communication, which is crucial for productivity and inn…
Tracking Serendipitous Interactions: How Individual Cultures Shape the Office
Chloë Brown, Christos Efstratiou, Ilias Leontiadis +2
In many work environments, serendipitous interactions between members of different groups may lead to enhanced productivity, collaboration and knowledge dissemination. Two factors…
A place-focused model for social networks in cities
Chloë Brown, Anastasios Noulas, Cecilia Mascolo +1
The focused organization theory of social ties proposes that the structure of human social networks can be arranged around extra-network foci, which can include shared physical spa…
Social and place-focused communities in location-based online social networks
Chloë Brown, Vincenzo Nicosia, Salvatore Scellato +2
Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Und…