Transparent Deep Learning Classifier of Driving Scenarios able to Identify and Learn from Unseen Situations

Project: Research

Status	Finished
Effective start/end date	1/10/18 → 30/09/21
Links	https://www.lancaster.ac.uk/scc/research/transparent-deep-learning-classifiers-of-driving-scenarios/

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Towards explainable deep neural networks (xDNN)
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Detecting and Learning from Unknown by Extremely Weak Supervision: eXploratory Classifier (xClass)
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Explainable-by-Design Deep Learning
Research output: Thesis › Doctoral Thesis

Research