| A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET K Etminani, A Soliman, A Davidsson, JR Chang, B Martínez-Sanchis, ... European journal of nuclear medicine and molecular imaging, 1-22, 2022 | 57 | 2022 |
| Cas2vec: Network-agnostic cascade prediction in online social networks ZT Kefato, N Sheikh, L Bahri, A Soliman, A Montresor, S Girdzijauskas 2018 Fifth international conference on social networks analysis, management …, 2018 | 22 | 2018 |
| Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters A Soliman, S Girdzijauskas, MR Bouguelia, S Pashami, S Nowaczyk Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 20 | 2020 |
| Adagraph: adaptive graph-based algorithms for spam detection in social networks A Soliman, S Girdzijauskas Networked Systems: 5th International Conference, NETYS 2017, Marrakech …, 2017 | 14 | 2017 |
| Diva: Decentralized identity validation for social networks A Soliman, L Bahri, B Carminati, E Ferrari, S Girdzijauskas Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 13 | 2015 |
| Domain expertise–agnostic feature selection for the analysis of breast cancer data S Pozzoli, A Soliman, L Bahri, RM Branca, S Girdzijauskas, M Brambilla Artificial Intelligence in Medicine 108, 101928, 2020 | 8 | 2020 |
| CADIVa: cooperative and adaptive decentralized identity validation model for social networks A Soliman, L Bahri, S Girdzijauskas, B Carminati, E Ferrari Social Network Analysis and Mining 6, 1-22, 2016 | 8 | 2016 |
| Adaptive graph-based algorithms for spam detection in social networks A Soliman, S Girdzijauskas KTH Royal Institute of Technology, 2016 | 8 | 2016 |
| Dlsas: Distributed large-scale anti-spam framework for decentralized online social networks A Soliman, S Girdzijauskas 2016 IEEE 2nd International Conference on Collaboration and Internet …, 2016 | 6 | 2016 |
| Stad: Stateful diffusion for linear time community detection A Soliman, F Rahimian, S Girdzijauskas 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 5 | 2018 |
| Parallelizing the berlekamp-massey algorithm H Ali, M Ouyang, A Soliman, W Sheta International Journal of Computer Science and Information Security (IJCSIS …, 2015 | 5 | 2015 |
| The price of explainability in machine learning models for 100-day readmission prediction in heart failure: retrospective, comparative, machine learning study A Soliman, B Agvall, K Etminani, O Hamed, M Lingman Journal of Medical Internet Research 25, e46934, 2023 | 2 | 2023 |
| Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model A Soliman, JR Chang, K Etminani, S Byttner, A Davidsson, ... BMC medical informatics and decision making 22 (Suppl 6), 318, 2022 | 2 | 2022 |
| Peeking inside the box: Transfer Learning vs 3D convolutional neural networks applied in neurodegenerative diseases K Etminani, A Soliman, S Byttner, A Davidsson, M Ochoa-Figueroa 2021 International Conference on Computational Intelligence Methods for …, 2021 | 2 | 2021 |
| Graph-based Analytics for Decentralized Online Social Networks A Soliman KTH Royal Institute of Technology, 2018 | 2 | 2018 |
| PSG: Peer-to-Peer semantic grid framework architecture A Soliman, A Kamel, W Sheta, R Bahgat Egyptian Informatics Journal 12 (2), 125-138, 2011 | 2 | 2011 |
| A Framework for Evaluating Synthetic Electronic Health Records E Budu, A Soliman, K Etminani, T Rögnvaldsson 33rd Medical Informatics Europe Conference: Caring is Sharing-Exploiting the …, 2023 | 1 | 2023 |
| Interdisciplinary human-centered AI for hospital readmission prediction of heart failure patients A Soliman, M Nair, M Petersson, L Lundgren, P Dryselius, E Fogelberg, ... Stud Health Technol Inform 302, 556-560, 2023 | 1 | 2023 |
| Cats: Network-agnostic virality prediction model to aid rumour detection Z Kefato, N Sheikh, L Bahri, A Soliman, S Girdzijauskas, A Montresor International Workshop on Rumours and Deception in Social Media (RDSM 2018), 2018 | 1 | 2018 |
| Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment M Nair, LE Lundgren, A Soliman, P Dryselius, E Fogelberg, M Petersson, ... JMIR Research Protocols 13 (1), e52744, 2024 | | 2024 |
Sarunas GirdzijauskasRoyal Institute of Technology (KTH), SwedenVerified email at kth.se
