most citedA Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis

61 citations · 66 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2017

Linear centralization classifier

Mohammad Reza Bonyadi, Viktor Vegh, David C. Reutens

A classification algorithm, called the Linear Centralization Classifier (LCC), is introduced. The algorithm seeks to find a transformation that best maps instances from the feature…

cs.CV201761 cited

A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis

Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann +3

Seizure prediction has attracted a growing attention as one of the most challenging predictive data analysis efforts in order to improve the life of patients living with drug-resis…

cs.LG2017

Optimization of distributions differences for classification

Mohammad Reza Bonyadi, Quang M. Tieng, David C. Reutens

In this paper we introduce a new classification algorithm called Optimization of Distributions Differences (ODD). The algorithm aims to find a transformation from the feature space…

cs.CV2017

Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection

Nhan Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +3

Detecting seizure using brain neuroactivations recorded by intracranial electroencephalogram (iEEG) has been widely used for monitoring, diagnosing, and closed-loop therapy of epil…

cs.NE20165 cited

Evolutionary computation for multicomponent problems: opportunities and future directions

Mohammad Reza Bonyadi, Zbigniew Michalewicz, Frank Neumann +1

Over the past 30 years many researchers in the field of evolutionary computation have put a lot of effort to introduce various approaches for solving hard problems. Most of these p…