Soheila Molaei

36 papers A* 2A 5Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Democratising Clinical AI through Dataset Condensation for Classical Clinical Models. CoRR Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
2026	J	`jnl`	Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity. IEEE J. Biomed. Health Informatics Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026	A*	`conf`	Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling. AAAI Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2025	J	`jnl`	DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation. CoRR Munib Mesinovic, Soheila Molaei, Peter J. Watkinson, Tingting Zhu
2025	J	`jnl`	Efficient Task Grouping Through Sample-Wise Optimisation Landscape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2025	J	`jnl`	Geometric Uncertainty for Detecting and Correcting Hallucinations in LLMs. CoRR Edward Phillips, Sean Wu, Soheila Molaei, Danielle Belgrave, Anshul Thakur, David A. Clifton
2025	A	`conf`	Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation. AISTATS Anshul Thakur, Elena Gal, Soheila Molaei, Xiao Gu, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	A	`conf`	Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation. AISTATS Anshul Thakur, Soheila Molaei, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2025	J	`jnl`	RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction. CoRR Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2024	J	`jnl`	A brief review of hypernetworks in deep learning. Artif. Intell. Rev. Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2024	J	`jnl`	CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2024	J	`jnl`	Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
2024	A	`conf`	Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton
2024	J	`jnl`	Efficient Task Grouping Through Samplewise Optimisation Landscape Analysis. CoRR Anshul Thakur, Yichen Huang, Soheila Molaei, Yujiang Wang, David A. Clifton
2024	A	`conf`	Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. AISTATS Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton
2024	J	`jnl`	Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	J	`jnl`	Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. npj Digit. Medicine Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024	J	`jnl`	Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
2023	J	`jnl`	A Brief Review of Hypernetworks in Deep Learning. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
2023	A	`conf`	Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2023	J	`jnl`	DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
2023	A*	`conf`	GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
2023	J	`jnl`	GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
2023	J	`jnl`	Graph representation learning based on deep generative gaussian mixture models. Neurocomputing Ghazaleh Niknam, Soheila Molaei, Hadi Zare, David A. Clifton, Shirui Pan
2023	J	`jnl`	Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Learning Graph Representations With Maximal Cliques. IEEE Trans. Neural Networks Learn. Syst. Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili, Shirui Pan
2022	J	`jnl`	Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2022	J	`jnl`	GCNFusion: An efficient graph convolutional network based model for information diffusion. Expert Syst. Appl. Bahareh Fatemi, Soheila Molaei, Shirui Pan, Samira Abbasgholizadeh Rahimi
2021	J	`jnl`	Classification of audio codecs with variable bit-rates using deep-learning methods. Digit. Signal Process. Atieh Khodadadi, Soheila Molaei, Mehdi Teimouri, Hadi Zare
2021	J	`jnl`	Collaborative Deep Forest Learning for Recommender Systems. IEEE Access Soheila Molaei, Amirhossein Havvaei, Hadi Zare, Mahdi Jalili
2021	J	`jnl`	Deep node clustering based on mutual information maximization. Neurocomputing Soheila Molaei, Nima Ghanbari Bousejin, Hadi Zare, Mahdi Jalili
2021	—	`conf`	Manifold Approximation and Projection by Maximizing Graph Information. PAKDD (3) Bahareh Fatemi, Soheila Molaei, Hadi Zare, Shirui Pan
2020	J	`jnl`	Deep learning approach on information diffusion in heterogeneous networks. Knowl. Based Syst. Soheila Molaei, Hadi Zare, Hadi Veisi
2020	J	`jnl`	Identifying influential nodes in heterogeneous networks. Expert Syst. Appl. Soheila Molaei, Reza Farahbakhsh, Mostafa Salehi, Noël Crespi
2019	J	`jnl`	Deep Learning Approach on Information Diffusion in Heterogeneous Networks. CoRR Soheila Molaei, Hadi Zare, Hadi Veisi