The Group is on lockdown but work continues:
Seminars are continuing online
Some staff are volunteering their hardware and data analysis skills at Hillingdon hospital
A collaboration with the MHRA and CPRD will result in synthetic primary care data being made available for Covid19 research.
Biraja Ghoshal has been exploring his methods for identifying Covid19 from lung images: https://arxiv.org/abs/2003.10769
IDA seminars will continue in spite of the UK lockdown. Last week’s was held successfully with three talks from successful IDA 2020 submissions.
Due to the ongoing Corona virus restrictions IDA 2020 will be held as a virtual conference online on the original dates. As a result it will be free to all! More information will be posted here nearer the time: IDA2020
The IDA group has just been awarded a Royal Society International Exchange grant to foster collaborations with the Wildlife Institute of India on “Developing Deep Learning Techniques for individually identifying Tigers and other species in India from camera trap image”
The Artificial Intelligence in Medicine conference will be in Porto in June 2021
IEEE International Concference on Data Mining will be in Sorrento in Italy in November 2020
The European Conference on Machine Learning will be in Ghent, Belgium in Sept 2020
Congratulations to Toyah Overton & Biraja Ghoshal for their papers accepted to IDA 2020 this year:
Biraja Ghoshal, Cecilia Lindskog, Allan Tucker, “Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics”
Toyah Overton, Allan Tucker, “DO-U-Net for Segmentation and Counting”
Yani Xue, Miqing Li, Xiaohui Liu, “Angle-based Crowding Degree Estimation for Many-Objective Optimization”
Congratulations to Alina Miron and Leila Yousefi who have been succesful in theie application for the Turing Data Study Group this week:
Congratulations to Noureddin Sadawi for his paper presentation at the SSTDM workshop at IEEE ICDM this year. His work was entitled ” Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors” (slides can be found here).
IDA meeting held at WLFB 207/208 (2nd floor of Wilfred Brown) at 3:00PM
Leila Yousefi: The Prevalence of Errors in Machine Learning Experiments (slides can be found here)
Marco Ortu: The Butterfly “Affect”: Impact of Development Practices on Cryptocurrency Prices (slides can be found here)
Gabriel Scali: Constraint Satisfaction Problems and Constraint Programming (slides can be found here)
Congratulations again to Nicky Nicolson, who recently defended her thesis with no changes, and has now been awarded the GBIF Young Researcher award.
The award jury, led by GBIF science committee vice chair Anders G. Finstad of the Norwegian University of Science and Technology (NTNU), lauded Nicolson for her “highly original and innovative” approaches and her successful “use of data from GBIF to combine geographically distant collections using only minimal information on the specimen.”
She is the first U.K. national to win the award since Amy McDougal earned the honour in 2010, the programme’s first year. She is also the third U.K.-based winnner, preceded by McDougal and Juan Escamilla Mólgora, a Mexican PhD candidate at Lancaster University and 2016 award recipient.
For more information click here