Promoting a cross-disciplinary machine learning community to share, learn and connect
OxfordXML brings together researchers across different disciplines to share and learn about the impact of machine learning in their respective fields, such as physics, finance, social sciences, engineering, healthcare, and psychology.
“What we want is a machine that can learn from experience”
Alan Turing
our mission
To provide a cross-disciplinary platform for Machine Learning researchers to share, learn and connect with other researchers across different disciplines
our community
We bring together researchers from various disciplines to build a community that promotes knowledge transfer, networking and interdisciplinary collaboration.
our activities
Termtime hybrid talks, held at Wolfson College and online, discussing different applications of Machine Learning in an informal and supportive setting.
our audience
We welcome anyone interested in learning more about Machine Learning applications across different fields. Past attendees of our events include postgraduate students, early career researchers and professors.
upcoming events
what's coming up
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9
Feb 2023
Dr. Nicolay Rusnachenko is with the School of Computing Department, Newcastle University.

Sentiment analysis is a task of authors' opinion extraction towards objects mentioned in text. The constant and rapid growth of information makes manual analysis literally impossible. Initial approaches originating from microblogging shot text analysis. Such texts mostly tend to convey a single opinion towards the product or service, and hence could be treated as-it-is in analysis. However, once it comes to in a way more larger documents, the provided analysis is expected to be granular. In this talk we cover the advances of machine-learning approaches in sentiment analysis of large mass-media documents. We provide both evolution of the task over time including a survey of task-oriented models starting from the conventional linear classification approaches to the applications findings of the recently announced ChatGPT model.

There will be cake and coffee/tea.

Past events (2022/2023)
Events held and scheduled by us
19
Jan 2023
Dr Youcheng Sun
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Jan 2023
Dr Taha Ceritli
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Dec 2022
Ms Helen Theissen
  • 02:30 PM - 04:00 PM
  • Wolfson College
21
Jun 2022
Dr Daniel Asfaw
  • 03:30 PM - 05:00 PM
  • Florey Room, Wolfson College
30
jun 2022
Dr Yi Yin
  • 1:00 PM - 2:30 PM
  • Florey Room, Wolfson College
15
jul 2022
Ms Andrea Rodriguez Delherbe
  • 3:00 PM - 4:30 PM
26
jul 2022
About Us
A vision for an open, cross-disciplinary machine learning network
Founded in 2019 by Dr Stephen Suryasentana (now at University of Strathclyde) and Dr Yaling Hsiao, OxfordXML (where XML stands for Cross-disciplinary Machine Learning) is a research cluster based in Wolfson College that aims to provide a cross-disciplinary platform for researchers across different disciplines to come and share their experience on how machine learning or artificial intelligence has impacted on their research. Furthermore, it hopes to provide an open community for researchers across different departments to connect and initiate interdisciplinary collaboration.
Committee
  • Dr Yaling Hsiao
  • Dr Yi Yin
  • Prof Antoniya Georgieva
To join our mailing list: CLICK HERE
Contact us below if you are interested in speaking at our events