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
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

Stay updated on our latest events and news by joining our mailing list.

Interested in sharing your expertise? Apply to give a talk at our next seminar.

Wolfson college

5

Jun

2024
The Emotional Content of Children's Writing: A Data-Driven Approach

Speaker: Rainy Dong
Calendar Icon Time: 17:30-18:30
Location Icon Levett Room, Wolfson College & Online (Teams link)

My name is Rainy Dong and I'm a third-year DPhil in Experimental Psychology, supervised by Prof Kate Nation and Prof Robert Hepach. My DPhil research is on children's emotion and language development. Emotions play a pivotal role in human experiences and are closely intertwined with language structure and use in both adults and children (Lindquist, 2017). Understanding emotional language, such as the term "upset", is crucial for emotional comprehension during development (Grosse et al., 2021; Nook et al., 2020). Despite the acknowledged importance of language in emotional concept development, little research has explored the link between emotions and written language in particular. Compared to spoken language, written language is more decontextualised and linguistically more complex (Dawson et al., 2021). Written language might be instrumental in conveying nuanced emotional concepts. Hence, my DPhil research focuses on interplay between language and emotion and how this unfolds over development, with a particular focus on written language. I combined both corpus analysis to look at the emotional language in various children's language corpora; and experimental approaches to look at the influence of emotional context on language learning.

Emotion is closely associated with language, but we know very little about how children express emotion in their own writing. We used a large-scale, cross-sectional, and data-driven approach to investigate emotional expression via writing in children of different ages, and whether it varies for boys and girls. We first used a lexicon-based bag-of-words approach (after Hipson & Mohammad, 2020) to identify emotional content in a large corpus of stories (N>100,000) written by 7- to 13-year-old children. Generalized Additive Models were then used to model changes in sentiment across age and gender. Two additional approaches (BERT and TextBlob) validated and extended these analyses, converging on the finding that positive sentiments in children's writing decrease with age. These findings echo reports from previous studies showing a decrease in mood and an increased use of negative emotion words with age. We also found that stories by girls contained more positive sentiments than stories by boys. Our study shows the utility of using large-scale data-driven approaches to reveal the content and nature of children's writing. Future experimental work should build on these observations to understand the likely complex relationships between written language and emotion, and how these change over development.

Past events (2022-2024)
Events held and scheduled by us
5
Jun 2024
THE EMOTIONAL CONTENT OF CHILDREN'S WRITING: A DATA-DRIVEN APPROACH
Rainy Dong
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:30 PM - 06:30 PM
  • Wolfson College
    Wolfson College
30
May 2024
DEMONS: ROBUST SELF SUPERVISED DEPTH AND MOTION NETWORKS FOR ALL-DAY IMAGES
Madhu Vankadari
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:30 PM - 06:30 PM
  • Wolfson College
    Wolfson College
23
May 2024
GEOMETRIC MACHINE LEARNING FOR PATIENT-SPECIFIC 3D CARDIAC ANATOMY RECONSTRUCTION
Abhirup Banerjee
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
15
May 2024
ADVANCING AI-ECG DIAGNOSIS USING DEEP LEARNING AND NEURAL ARCHITECTURE SEARCH
Lei Lu
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
1
May 2024
The Law and Economics of AI
George R Barker
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:00 PM
  • Wolfson College
    Wolfson College
21
Mar 2024
RESURRECTING RECURRENT NEURAL NETWORKS FOR LANGUAGE MODELLING
Razvan Pascanu
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
13
Mar 2024
Citizen Weather Data and Machine Learning to identify urban climate risk at high spatio-temporal resolution
Prof Jesus Lizana
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
7
Mar 2024
MULTI-AGENT REINFORCEMENT LEARNING
Jakob Foerster
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
6
Mar 2024
LINKING DISCIPLINES, OMICS AND AI TO IMPROVE HUMAN HEALTH
Prof James Crabbe
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:00 PM
  • Wolfson College
    Wolfson College
27
Feb 2024
ARTIFICIAL INTELLIGENCE FOR MATHEMATICAL DISCOVERY
Daattavya Aggarwal
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
19
Feb 2024
USER PROFILING FOR PERSONALIZATION
Dr Huizhi Liang
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:00 PM
  • Wolfson College
    Wolfson College
15
Feb 2024
SEEING THE UNSEEN: MACHINE LEARNING IN CARDIAC ELECTROPHYSIOLOGY
Dr Rasheda Chowdhury
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:00 PM
  • Wolfson College
    Wolfson College
8
Feb 2024
RISKS AND BENEFITS OF OPEN SOURCING LANGUAGE MODELS
Jakob Foerster, Christian Schroeder, Aleksandar Petrov,
Francisco Girbal, Fazl Barez, Joshua Loo
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 07:00 PM
  • Wolfson College
    Engineering Science Department, Thom Building
31
Jan 2024
Multi-Agent Security
Christian Schroeder
Recording of the seminar can be viewed to come.
  • Wolfson College
    05:00 PM - 06:00 PM
  • Wolfson College
    Wolfson College
17
Jan 2024
MORAL UNCERTAINTY IN AUTONOMOUS AGENTS
Jázon Szabó
Recording of the seminar can be viewed to come.
  • Wolfson College
    06:00 PM - 07:00 PM
  • Wolfson College
    Wolfson College
06
Dec 2023
Physics-informed generative networks
Dr Fabio Pizzati
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:30 PM
  • Wolfson College
    Wolfson College
30
Nov 2023
Bridging Millennia: Machine Learning's Impact on Assyriology
Ms Émilie Pagé-Perron
Recording of the seminar can be viewed to come.
  • Wolfson College
    01:00 PM - 02:30 PM
  • Wolfson College
    Wolfson College
23
Nov 2023
Embeddings for Knowledge Graphs and Multimodal Representations
Dr Nitisha Jain
Recording of the seminar can be viewed to come.
  • 01:00 PM - 02:30 PM
  • Wolfson College
    Wolfson College
25
Oct 2023
Some applications of AI in Mathematics and Theoretical Physics
Dr Andrei Constantin
Recording of the seminar can be viewed to come.
  • 01:00 PM - 02:30 PM
  • Wolfson College
13
Jun 2023
Personalised Treatment for Mental Health
Dr Qiang Liu
Recording of the seminar can be viewed to come.
  • 02:00 PM - 03:30 PM
  • Wolfson College
2
Jun 2023
INNOVATING IN MEDICAL DEVICE DEVELOPMENT
Dr Miguel Xochicale
Recording of the seminar can be viewed to come.
  • 02:30 PM - 04:00 PM
  • Wolfson College
26
May 2023
Towards Safe & Robust AI for Image-Guided Diagnosis and Intervention
Dr Mobarakol Islam
Recording of the seminar can be viewed to come.
  • 02:30 PM - 04:00 PM
  • Wolfson College
19
May 2023
Feature Attribution for Neural Network Explanation & Diversified Dynamic Routing for Vision Tasks
Csaba Botos & Ashkan Khakzar
Recording of the seminar can be viewed here.
  • 02:30 PM - 04:00 PM
  • Wolfson College
13
Mar 2023
Intelligence, artificial or not: conversations between developmental neuroscience and AI
Dr. Martin Frasch
Recording of the seminar can be viewed here.
More information: FraschLab.org
  • 02:30 PM - 04:00 PM
  • Wolfson College
21
Feb 2023
How Do Language Models Like ChatGPT Process Complex Words?
Mr. Valentin Hofmann
Recording of the seminar can be viewed here.
  • 02:30 PM - 04:00 PM
  • Wolfson College
9
Feb 2023
Advances in Sentiment Analysis of the Large Mass-Media Documents
Dr. Nicolay Rusnachenko
To download the presentation slides: click here.
  • 02:30 PM - 04:00 PM
  • Wolfson College
19
Jan 2023
An Arms Race in Intellectual Property Protection of Deep Learning Models
Dr Youcheng Sun
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Jan 2023
GENERATING PATIENT RECORDS USING DIFFUSION MODELS
Dr Taha Ceritli
  • 02:30 PM - 04:00 PM
  • Wolfson College
12
Dec 2022
LEVERAGING MACHINE LEARNING TO IDENTIFY BLOOD CANCER TYPES
Ms Helen Theissen
  • 02:30 PM - 04:00 PM
  • Wolfson College
21
Jun 2022
Application of deep learning in fetal heart rate monitoring
Dr Daniel Asfaw
  • 03:30 PM - 05:00 PM
  • Florey Room, Wolfson College
30
jun 2022
Deep learning strategies for ultrasound in pregnancy
Dr Yi Yin
  • 1:00 PM - 2:30 PM
  • Florey Room, Wolfson College
15
jul 2022
Predicting activity patterns of regulatory elements in zebrafish using ML
Ms Andrea Rodriguez Delherbe
  • 3:00 PM - 4:30 PM
26
jul 2022
Agent-based modelling of accent retraction in Balto-Slavic
Mr Toby Hudson
  • 4:00 PM - 5:30 PM
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 (now at Birmingham University), 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
  • Prof Antoniya Georgieva (Cluster Head) - Research focus on Health ML/AI
  • Prof Konstantinos Kamnitsas (Governing Body Fellow Overseeing the Cluster) - Research focus on Health ML/AI
  • Dr Yi Yin (Lead Organiser) - Research focus on Health ML/AI
  • Dr George Barker - Research focus on Law, Economics, Finance & ML/AI
Cluster Affiliates
  • Dr Csaba Botos (Member of Events Organisation Team) - Industry Affiliate
To join our mailing list: CLICK HERE
Contact us below if you are interested in speaking at our events