13 citations · 36 across the 6 of their papers we have counts for
6 papers
Variational Autoencoder Kernel Interpretation and Selection for Classification
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +1
This work proposed kernel selection approaches for probabilistic classifiers based on features produced by the convolutional encoder of a variational autoencoder. Particularly, the…
ProBoost: a Boosting Method for Probabilistic Classifiers
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +2
ProBoost, a new boosting algorithm for probabilistic classifiers, is proposed in this work. This algorithm uses the epistemic uncertainty of each training sample to determine the m…
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas +2
Biomedical decision making involves multiple signal processing, either from different sensors or from different channels. In both cases, information fusion plays a significant role…
Intelligent Paging Strategy for Multi-Carrier CDMA System
Sheikh Shanawaz Mostafa, Khondker Jahid Reza, Md. Ziaul Amin +1
Subscriber satisfaction and maximum radio resource utilization are the pivotal criteria in communication system design. In multi-Carrier CDMA system, different paging algorithms ar…
An Efficient Paging Algorithm for Multi-Carrier CDMA System
Sheikh Shanawaz Mostafa, Khondker Jahid Reza, Gazi Maniur Rashid +3
To cope with the increasing demand of wireless communication services multi-carrier systems are being used. Radio resources are very limited and efficient usages of these resources…
A Radio Based Intelligent Railway Grade Crossing System to Avoid Collision
Sheikh Shanawaz Mostafa, Md. Mahbub Hossian, Khondker Jahid Reza +1
Railway grade crossing is become the major headache for the transportation system. This paper describes an intelligent railway crossing control system for multiple tracks that feat…