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In search of trustworthy algorithms ... show us the stress-testing! by Kate Smith-Miles
TakeAIM competition winner discusses tissue engineering with Prof. Kate Smith-Miles
Myth-busting Mathematics | Professor Kate Smith-Miles
Kate Smith-Miles, Mathematician
Andrea Lodi et al. - Panel discussion Machine Learning in Combinatorial Optimization
Maxime Gasse - Machine Learning for Combinatorial Optimization Challenge - Introduction
Prof Kate Smith-Miles - ARC College of Experts
Solution Prediction via Machine Learning for Combinatorial Optimization
Prof Kate Smith-Miles' Message for Women in Maths Day
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
Machine learning assisted hyper-heuristics for online combinatorial optimization problems
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Last Updated: September 29, 2026
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Key note talk from the ML4CO Challenge Winner session at NeurIPS2021. Find the introduction, the three winners' presentation, ... STEM Talks 2017 Myth-busting Mathematics Professor Discover how applied mathematics and a passion for music helps Panel discussion from the ML4CO Challenge Winner session at NeurIPS2021. Find the introduction, the three winners' ... What goes on in Canberra when the ARC College of Experts gather to decide which researchers and projects get funded? The Webinar given by Prof Xiaodong Li from RMIT University, Australia. Organiser: IEEE Taskforce on Evolutionary Scheduling ... 2022 Data-driven Optimization Workshop:
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