jo de bono

Name:	jo de bono
Affiliation:	University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	22 May 2024, 11:49 a.m.

Public lists managed by jo de bono

Talks given by jo de bono

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

Talks organised by jo de bono

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that jo de bono actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Haar Graph Pooling
• Addressing Imbalance in Object Detection
• Soft Aerial Robotics for Digital Infrastructure Systems
• Climate, Carbon, and Computer Science
• Machine Learning at the Extreme Edge - an Open Platform Approach
• Digital Modeling of Reality with Machine Learning
• The Digital Architecture of Future Cities
• Deep learning on graphs and manifolds: going beyond Euclidean data
• StructureNet: Hierarchical Graph Networks for 3D Shape Generation
• Security and Privacy in a World of Safety: Analysing Avionic Data Links and NextGen ATC Networks
• The Principle of Least Cognitive Action
• How to design a programming language
• Hand Tracking on HoloLens 2
• Representation Learning on Graphs
• DevOps and Cloud Native development in the University of Cambridge
• Verified Probabilistic Reachability in Parametric Hybrid Systems: Theory and Tool Implementation
• Make Switches Simple Again!
• Make Switches Simple Again!
• Perpetual Computing: Technologies for Banishing Batteries
• Imitation learning for structured prediction
• From molecules to recurrent visual hallucinations: multimodal imaging and computational modelling of Dementia with Lewy bodies
• Failing with Style: Why and How we Should Encourage Humans to Fail with Highly Capable Systems
• Scalable Intelligent Systems by 2025
• Stylus input and the benefits of a standard
• A journey into interdisciplinary research
• Machine learning for medicine: Predicting, pre-empting and treating disease
• Machine learning for medicine: Predicting, pre-empting and treating disease