61 citations · 76 across the 8 of their papers we have counts for
10 papers
Autodecompose: A generative self-supervised model for semantic decomposition
Mohammad Reza Bonyadi
We introduce Autodecompose, a novel self-supervised generative model that decomposes data into two semantically independent properties: the desired property, which captures a speci…
Self Punishment and Reward Backfill for Deep Q-Learning
Mohammad Reza Bonyadi, Rui Wang, Maryam Ziaei
Reinforcement learning agents learn by encouraging behaviours which maximize their total reward, usually provided by the environment. In many environments, however, the reward is p…
Semi-supervised Seizure Prediction with Generative Adversarial Networks
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +1
In this article, we propose an approach that can make use of not only labeled EEG signals but also the unlabeled ones which is more accessible. We also suggest the use of data fusi…
Optimal-margin evolutionary classifier
Mohammad Reza Bonyadi, David C. Reutens
We introduce a novel approach for discriminative classification using evolutionary algorithms. We first propose an algorithm to optimize the total loss value using a modified 0-1 l…
A theoretical guideline for designing an effective adaptive particle swarm
Mohammad Reza Bonyadi
In this paper we theoretically investigate underlying assumptions that have been used for designing adaptive particle swarm optimization algorithms in the past years. We relate the…
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…