Data Mining and Machine Learning Series

Past Talks: 2018/19 Session

Date	Speaker	Title
28 Sep 2018	Huda Hakami University of Liverpool	Why does PairDiff work? � A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
12 Oct 2018	Takanori Maehara -	Stochastic Probing with Prices
23 Nov 2018	Nawal Almutri University of Liverpool	Secure Third Party Data Clustering Using ? Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices
07 Dec 2018	Thanh-Toan Do University of Liverpool	An Upper Bound on the Triplet Loss for Deep Distance Metric Learning
25 Jan 2019	Bakhtiar Amen University of Liverpool	Directed Acyclic Graph Model for Scalable Contextual Anomaly Event Stream Detection
28 Jan 2019 MIF	Vitaliy Kurlin MIF	Mathematical challenges of solid crystalline materials.
08 Feb 2019 [Cancelled]	Shagufta Scanlon University of Liverpool	Research Trends and Challenges in Data Mining and Machine Learning for Big Data and Opportunities for Collaboration [CANCELLED]
11 Feb 2019 MIF	Mike Gaultois Chemistry	Searching for new magnetic materials.
25 Feb 2019 MIF	Phillip Maffettone Chemistry	Describing solids, and challenges for high-throughput analysis.
11 Mar 2019 MIF	Dmytro Antypov Chemistry	Introduction to crystal structure prediction
01 Apr 2019 MIF	Chris Collins Chemistry	Computationally driven materials discovery
04 Apr 2019	Misolov Torda -	Evaluation of Information-Theoretic Measuresin Echo State Networks on the Edge of Stability
29 Apr 2019 MIF	Vladimir Gusev Chemistry	New approaches to the crystal structure prediction
09 May 2019	Xenofon Evangelopoulos University of Liverpool	Circular object sequencing using bilevel optimization
13 May 2019 MIF	Vanessa Robins ANU, Applied Maths	An introduction to the mathematical description and computational enumeration of periodic tilings and nets.
03 Jun 2019	Zhengyao Jiang and Shan Luo University of Liverpool	Neural Logic Reinforcement Learning
10 Jun 2019   [Postponed]	Phillip Smith -	An introduction to persistent homology followed by a comparison of skeletonisation algorithms [POSTPONED]
26 Jun 2019	Xianbin Hong University of Liverpool	Lifelong Machine Learning for Sentiment Classification
01 Jul 2019 MIF	John Claridge Chemistry	Challenges and opportunities in condensed matter science.
04 Jul 2019	Gaojie Jin University of Liverpool	Tracking Information Evolution of Hidden Representations for Neural Networks via Kernelised Vector Quantisation
10 Jul 2019	Phillip Smith -	An introduction to persistent homology followed by a comparison of skeletonisation algorithms
12 Jul 2019 robotics	Dr Zhenhua Feng University of Surry	Robust Facial Landmark Localisation and Its Applications

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