13 citations · 22 across the 3 of their papers we have counts for
3 papers
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
Tosin Ige, Christopher Kiekintveld, Aritran Piplai +3
Phishing is one of the most effective ways in which cybercriminals get sensitive details such as credentials for online banking, digital wallets, state secrets, and many more from…
Encoder-Decoder Based Long Short-Term Memory (LSTM) Model for Video Captioning
Sikiru Adewale, Tosin Ige, Bolanle Hafiz Matti
This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via…
Adversarial Sampling for Fairness Testing in Deep Neural Network
Tosin Ige, William Marfo, Justin Tonkinson +2
In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given…