Suvodeep Mazumdar
Cited by
Cited by
Citizen science technologies and new opportunities for participation
S Mazumdar, L Ceccaroni, J Piera, F Hölker, A Berre, R Arlinghaus, ...
UCL Press, 2018
Citizen science for observing and understanding the earth
M Haklay, S Mazumdar, J Wardlaw
Earth observation open science and innovation, 69-88, 2018
Integrating FATE/critical data studies into data science curricula: where are we going and how do we get there?
J Bates, D Cameron, A Checco, P Clough, F Hopfgartner, S Mazumdar, ...
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
Explainable artificial intelligence for developing smart cities solutions
D Thakker, BK Mishra, A Abdullatif, S Mazumdar, S Simpson
Smart Cities 3 (4), 1353-1382, 2020
Defining artificial intelligence for librarians
AM Cox, S Mazumdar
Journal of librarianship and information science 56 (2), 330-340, 2024
Citizen science and crowdsourcing for earth observations: An analysis of stakeholder opinions on the present and future
S Mazumdar, S Wrigley, F Ciravegna
Remote Sensing 9 (1), 87, 2017
Social influence analysis in microblogging platforms–a topic-sensitive based approach
AE Cano, S Mazumdar, F Ciravegna
Semantic Web 5 (5), 357-372, 2014
A knowledge dashboard for manufacturing industries
S Mazumdar, A Varga, V Lanfranchi, D Petrelli, F Ciravegna
The Semantic Web: ESWC 2011 Workshops: ESWC 2011 Workshops, Heraklion …, 2012
Affective Graphs: The Visual Appeal of Linked Data
S Mazumdar, D Petrelli, K Elbedweihy, V Lanfranchi, F Ciravegna
Semantic Web – Interoperability, Usability, Applicability, 2014
Remote home visit: Exploring the feasibility, acceptability and potential benefits of using digital technology to undertake occupational therapy home assessments
J Read, N Jones, C Fegan, P Cudd, E Simpson, S Mazumdar, ...
British Journal of Occupational Therapy 83 (10), 648-658, 2020
Multi visualization and dynamic query for effective exploration of semantic data
D Petrelli, S Mazumdar, AS Dadzie, F Ciravegna
The Semantic Web-ISWC 2009: 8th International Semantic Web Conference, ISWC …, 2009
A novel application of deep learning with image cropping: a smart city use case for flood monitoring
BK Mishra, D Thakker, S Mazumdar, D Neagu, M Gheorghe, S Simpson
Journal of Reliable Intelligent Environments 6, 51-61, 2020
Extracting semantic user networks from informal communication exchanges
AL Gentile, V Lanfranchi, S Mazumdar, F Ciravegna
The Semantic Web–ISWC 2011: 10th International Semantic Web Conference, Bonn …, 2011
Exploring user and system requirements of linked data visualization through a visual dashboard approach
S Mazumdar, D Petrelli, F Ciravegna
Semantic Web 5 (3), 203-220, 2014
Citizen science on twitter: Using data analytics to understand conversations and networks
S Mazumdar, D Thakker
Future Internet 12 (12), 210, 2020
Lessons learned using wi-fi and Bluetooth as means to monitor public service usage
L Bai, N Ireson, S Mazumdar, F Ciravegna
Proceedings of the 2017 ACM international joint conference on pervasive and …, 2017
Citizens observatories for effective Earth observations: the WeSenseIt approach
S Mazumdar, V Lanfranchi, N Ireson, S Wrigley, C Bagnasco, U Wehn, ...
Environmental Scientist 25 (2), 56-61, 2016
Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods
M Hasan, PA Bath, C Marincowitz, L Sutton, R Pilbery, F Hopfgartner, ...
Computers in Biology and Medicine 151, 106024, 2022
Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study
C Marincowitz, L Sutton, T Stone, R Pilbery, R Campbell, B Thomas, ...
Emergency Medicine Journal 39 (4), 317-324, 2022
An unsupervised learning approach to diagnosing Alzheimer’s disease using brain magnetic resonance imaging scans
Y Liu, S Mazumdar, PA Bath, Alzheimer's Disease Neuroimaging Initiative
International Journal of Medical Informatics 173, 105027, 2023
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