Amirhessam Tahmassebi

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 16

Top Topics

Genetic Programming

Decision Tree Learning Algorithm

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi
Evolutionary Machine Learning: A Survey. ACM Comput. Surv. 54 (8) (2022)
Amirhessam Tahmassebi, Kevin Mueller, Uwe Meyer-Baese, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese
Graph signal processing to identify biomarkers in brain networks in dementia. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Amirhessam Tahmassebi, Uwe Meyer-Baese, Anke Meyer-Baese
Structural Target Controllability of Brain Networks in Dementia. EMBC (2021)
Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese
Identifying the diffusion source of dementia spreading in structural brain networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Behshad Mohebali, Gelareh Karbaschi, Amirhessam Tahmassebi, Anke Meyer-Baese, Amir H. Gandomi
An Evolutionary Framework for Real-Time Fraudulent Credit Detection. CEC (2021)
Lisa Meyer-Bäse, Fatima Saad, Amirhessam Tahmassebi
Controllability of structural brain networks in dementia. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Amirhessam Tahmassebi, Jennifer Martin, Anke Meyer-Baese, Amir H. Gandomi
An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals. SSCI (2020)
Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese
A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction. CEC (2018)
Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Anna E. Goudriaan, Anke Meyer-Baese
Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks. PEARC (2018)
Amirhessam Tahmassebi, Ali Moradi Amani, Katja Pinker-Domenig, Anke Meyer-Baese
Determining disease evolution driver nodes in dementia networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese
Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification. Complex. 2018 (2018)
Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Baese
An Evolutionary Online Framework for MOOC Performance Using EEG Data. CEC (2018)
Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Thomas Helbich, Zsuzsanna Bago-Horvath, Anke Meyer-Baese
Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Amirhessam Tahmassebi, Amir H. Gandomi, Anke Meyer-Bäse
High Performance GP-Based Approach for fMRI Big Data Classification. PEARC (2017)
Amirhessam Tahmassebi, Amir H. Gandomi, Ian McCann, Mieke H. J. Schulte, Lianne Schmaal, Anna E. Goudriaan, Anke Meyer-Baese
An evolutionary approach for fMRI big data classification. CEC (2017)
Amirhessam Tahmassebi, Amir H. Gandomi
Genetic Programming Based on Error Decomposition: A Big Data Approach. GPTP (2017)