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Dr Tom Diethe

Dr Tom Diethe

Dr Tom Diethe
B.Sc.(Bristol), MSc(Lond.), PhD(Lond.)

Honorary Research Fellow

Area of research

Machine Learning for Residential Healthcare

Merchant Venturers Building,
Woodland Road, Clifton BS8 1UB
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Biography

Research Fellow, SPHERE (an EPSRC IRC)

Department of Electric and Electronic Engineering, University of Bristol

Member of:

Qualifications:

  • BSc Hons. Experimental Psychology, University of Bristol
  • MSc (Distinction). Intelligent Systems, University College London
  • PhD. Machine Learning applied to multivariate signal processing, University College London

Former positions:

  • Researcher, Machine Learning and Perception Group, Microsoft Research Cambridge
  • Machine Learning Consultant, British Medical Journal Group, London
  • Research Associate, Department of Statistical Science, University College London
  • Research Associate, Department of Computer Science, University College London

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Recent publications

  • Song, H, Diethe, T, Kull, M & Flach, P, 2019, ‘Distribution Calibration for Regression’. in: Kamalika Chaudhuri, Ruslan Salakhutdinov (eds) International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. Proceedings of Machine Learning Research, pp. 5897-5906
  • Chen, Y, Filho, TMS, Prudêncio, RBC, Diethe, T & Flach, P, 2019, β3-IRT: A New Item Response Model and its Applications’. in: Kamalika Chaudhuri, Masashi Sugiyama (eds) Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019): April 16-18, 2019, Naha, Okinawa, Japan. Proceedings of Machine Learning Research, pp. 1013-1021

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View complete publications list in the University of Bristol publications system

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