2 citations · 2 across the 1 of their papers we have counts for
6 papers
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
Daniel Omeiza
We present Smooth Grad-CAM++, a technique which combines two recent techniques: SMOOTHGRAD and Grad-CAM++. Smooth Grad-CAM++ has the capability of either visualizing a layer, subse…
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Daniel Omeiza, Skyler Speakman, Celia Cintas +1
Gaining insight into how deep convolutional neural network models perform image classification and how to explain their outputs have been a concern to computer vision researchers a…
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa
Daniel Omeiza
Urbanization is a common phenomenon in developing countries and it poses serious challenges when not managed effectively. Lack of proper planning and management may cause the encro…
EEG-based Communication with a Predictive Text Algorithm
Daniel Omeiza, Kayode Sakariyah Adewole, Daniel Nkemelu
Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provid…
Deep Convolutional Neural Network for Plant Seedlings Classification
Daniel K. Nkemelu, Daniel Omeiza, Nancy Lubalo
Agriculture is vital for human survival and remains a major driver of several economies around the world; more so in underdeveloped and developing economies. With increasing demand…
Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal
Daniel Omeiza, Jemima Owusu-Tweneboah
Web security has become an important subject; many companies and organizations are becoming more security conscious as they build web applications to render online services and inc…