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2020 – today
- 2024
[c5]Abdul Basit Hafeez
, Eduardo Alonso, Atif Riaz:
DTC-TranGru: Improving the performance of the next-DTC Prediction Model with Transformer and GRU. SAC 2024: 927-934- 2022
- [c4]Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz:
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. ICMLA 2022: 519-524 - 2020
- [b1]Atif Riaz:
Machine learning for classification of ADHD. City University London, UK, 2020 - [j4]Marin D. Guenov, Atif Riaz, Yogesh H. Bile, Arturo Molina-Cristobal, Albert S. J. van Heerden:
Computational framework for interactive architecting of complex systems. Syst. Eng. 23(3): 350-365 (2020)
2010 – 2019
- 2019
- [j3]Xin Chen, Arturo Molina-Cristobal, Marin D. Guenov, Atif Riaz:
Efficient method for variance-based sensitivity analysis. Reliab. Eng. Syst. Saf. 181: 97-115 (2019) - 2018
- [j2]Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh:
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - [c3]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI 2018: 1419-1422 - 2017
- [j1]Muhammad Moazzam Jawaid, Atif Riaz, Ronak Rajani, Constantino Carlos Reyes-Aldasoro, Gregory G. Slabaugh:
Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles. Comput. Biol. Medicine 89: 84-95 (2017) - [c2]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI 2017: 70-78 - 2016
- [c1]Atif Riaz, Eduardo Alonso, Greg G. Slabaugh:
Phenotypic Integrated Framework for Classification of ADHD Using fMRI. ICIAR 2016: 217-225
Coauthor Index
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