The members of the Machine Learning group are listed here
The announcements of the MK meetings, talks, slides etc. will be made available through the MS Teams channel (internal only). If you would like to give a talk please contact Danushka.
(Room keys: 2.08 Ashton Building 2nd floor meeting room, 1.01 Ashton Building 1st floor meeting room, 5.07 EEE 5th floor meeting room)
Date | Time | Venue | Speaker | Title |
---|---|---|---|---|
April 9th | 11:00-12:00 | 2.08 | Simon Harding | Opportunities to develop machine learning approaches to image analysis in diabetic retinopathy – automation, AI and deep learning |
April 17th | 10:00-11:00 | 2.08 | Shan Luo | Robot perception with multiple sensing inputs |
April 20th | 11:00-12:00 | 5.07 | Kirkwood Graeme | EPR and big data research in clinical cardiology –challenges and collaborative opportunities |
April 27th | 11:00-12:00 | 2.08 | Alsuhaibani Mohammed | Joint learning of sense and word embeddings |
May 4th | 11:00-12:00 | 2.08 | Nagesh Kalakonda | Clonal heterogeneity in lymphoma - making sense of the data deluge |
May 11th | 11:00-12:00 | 5.07 | Xia Cui | Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition |
Sep 28th | 10:00-11:00 | 2.08 | Huda Hakami | Why does PairDiff work? – A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection |
Oct 12th | 13:00-14:00 | 2.08 | Takanori Maehara | Stochastic Probing with Prices |
Nov 23rd | 10:00-11:00 | 2.08 | Nawal Almutri | Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices |
Dec 7th | 11:00-12:00 | 2.08 | Thanh-Toan Do | An Upper Bound on the Triplet Loss for Deep Distance Metric Learning |
Jan 25th | 10:00-11:00 | 2.08 | Bakhtiar Amen | Directed Acyclic Graph Model for Scalable Contextual Anomaly Event Stream Detection |
April 4th | 13:00-14:00 | 2.08 | Misolav Torda | Evaluation of Information-Theoretic Measuresin Echo State Networks on the Edge of Stability |
May 9th | 13:00-14:00 | 2.08 | Xenofon Evangelopoulos | Circular object sequencing using bilevel optimization |
June 3rd | 10:00-11:00 | 2.08 | Zhengyao Jiang and Shan Luo | Neural Logic Reinforcement Learning |
June 26th | 11:00-12:00 | 2.08 | Xianbin Hong | Lifelong Machine Learning for Sentiment Classification |
July 4th | 11:00-12:00 | 1.01 | Gaojie Jin | Tracking Information Evolution of Hidden Representations for Neural Networks via Kernelised Vector Quantisation |
July 10th | 10:00-11:00 | 2.08 | Philip Smith | An introduction to persistent homology followed by a comparison of skeletonisation algorithms |
September 25th | 11:00-12:00 | 2.08 | Marco Siccardi | Computational modelling for the optimisation of pharmacological therapies and prediction of drug-drug interactions |
October 16th | 11:00-12:00 | EEE 5.07 | Nick New | Artificial Intelligence at the Speed of Light |
October 23rd | 11:00-12:00 | 2.08 | Dean’s visit to DMML | |
November 6th | 11:00-12:00 | 2.08 | Vadera Sunil | Pruning Deep Neural Networks with Multi-Arm Bandits |
November 20th | 11:00-12:00 | 1.01 | Gautam Pal | Big Data Stream Processing and Iterative Learning |
January 29th | 11:00-12:00 | 2.08 | Kay O’Halloran | A Multimodal Approach to Data Analytics |
February 12th | 11:00-12:00 | 2.08 | Liam Brieley | Combining machine learning and genomic approaches to predict RNA virus emergence |
May 13th | 11:00-12:00 | TBD | Monab Elkaref (IBM) | Recursive LSTM Trees for Dependency Parsing |
Nov 5th | 11:00-12:00 | TBD | Iqra Mohammed and Michael Abaho | The Application of Machine Learning in Trials Methodology |
Nov 18th | 11:00-12:00 | TBD | David Hughes | Fast approximate inference for multivariate longitudinal data |