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07/13/2022
PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool
In this paper, we propose a feature-free method for detecting phishing w...
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03/07/2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation
We present Nonparametric Approximation of Inter-Trace returns (NAIT), a ...
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02/22/2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
We introduce Retrieval Augmented Classification (RAC), a generic approac...
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12/06/2021
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning
Computer aided diagnostics often requires analysis of a region of intere...
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08/27/2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection
Machine learning (ML) has developed rapidly in the past few years and ha...
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04/23/2021
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection
Several regularization methods have recently been introduced which force...
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04/12/2021
Epigenetic evolution of deep convolutional models
In this study, we build upon a previously proposed neuroevolution framew...
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03/13/2021
Simeon – Secure Federated Machine Learning Through Iterative Filtering
Federated learning enables a global machine learning model to be trained...
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10/11/2020
Complexity-based speciation and genotype representation for neuroevolution
This paper introduces a speciation principle for neuroevolution where ev...
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07/22/2020
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
Phishing has grown significantly in the past few years and is predicted ...
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05/23/2019
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal
Reading Comprehension has received significant attention in recent years...
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12/16/2014