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Data science


Contributions to the state-of-the-art in data mining, machine learning and artificial intelligence. Knowledge representation, reasoning, modelling and optimization. Advances in the processing of various types of data (e.g., signals, images, sound, speech, text and continuous streams of information). Incremental adaptations geared towards implementation in a specific area or use case and/or direct application of (straightforward combinations of) existing algorithms and techniques in other research areas fall outside the scope of this panel and should be submitted in the relevant panel (i.e., the panel in which the application is situated) within biological sciences, medical sciences, social sciences and humanities, or science and technology.

Members - composition 2024

Naam Affiliatie
Angelini Elsa Imperial College London, ParisTech, Columbia University
Ben Hadou Mohamed Mentis Consulting NV
Breckon Toby University of Durham
Damljanovic Danica Sentient Machines
Danudibroto Adriyana Agfa Radiology Solutions
Handl Julia University of Manchester
Hassani Amin Connexounds
Petitjean Caroline University of Rouen Normandy
Romano Daniela University College London
Schiele Gregor University Duisburg-Essen
Spruyt Vincent Sentiance
Tarabalka Yulia National Institute for Research in Computer Science and Automation (INRIA) / LuxCarta Technology Company
Van Der Hoek Wiebe University of Liverpool
Vandersmissen Eva Agfa Healthcare
Zanca Federica Palindromo Consulting