Amirhessam Tahmassebi

According to our database, Amirhessam Tahmassebi authored at least 16 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Evolutionary Machine Learning: A Survey.

Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi

ACM Comput. Surv., 2022

Graph signal processing to identify biomarkers in brain networks in dementia.

Amirhessam Tahmassebi, Kevin Mueller, Uwe Meyer-Baese, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Identifying the diffusion source of dementia spreading in structural brain networks.

Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Structural Target Controllability of Brain Networks in Dementia.

Amirhessam Tahmassebi, Uwe Meyer-Baese, Anke Meyer-Baese

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An Evolutionary Framework for Real-Time Fraudulent Credit Detection.

Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals.

Amirhessam Tahmassebi, Jennifer Martin, Anke Meyer-Baese, Amir H. Gandomi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Controllability of structural brain networks in dementia.

Lisa Meyer-Bäse, Fatima Saad, Amirhessam Tahmassebi

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2018

Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification.

Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

Complex., 2018

Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks.

Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Anna E. Goudriaan, Anke Meyer-Baese

Proceedings of the Practice and Experience on Advanced Research Computing, 2018

Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer.

Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Thomas Helbich, Zsuzsanna Bago-Horvath, Anke Meyer-Baese

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Determining disease evolution driver nodes in dementia networks.

Amirhessam Tahmassebi, Ali Moradi Amani, Katja Pinker-Domenig, Anke Meyer-Baese

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction.

Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Evolutionary Online Framework for MOOC Performance Using EEG Data.

Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

High Performance GP-Based Approach for fMRI Big Data Classification.

Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Bäse

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Genetic Programming Based on Error Decomposition: A Big Data Approach.

Amirhessam Tahmassebi, Amir H. Gandomi

Proceedings of the Genetic Programming Theory and Practice XV, 2017

An evolutionary approach for fMRI big data classification.

Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017