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ORCIDOmar Hamed
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Conference and Workshop Papers
- 2024
[c5]Omar Hamed, Souhail Bakkali
, Matthew B. Blaschko, Sien Moens, Jordy Van Landeghem:
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting. ICDAR (4) 2024: 270-286- 2023
- [c4]Atiye Sadat Hashemi, Kobra Etminani, Amira Soliman, Omar Hamed, Jens Lundström:
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network. IJCNN 2023: 1-8 - [c3]Amira Soliman, Monika Nair, Marcus Petersson, Lina E. Lundgren, Petra Dryselius, Ebba Fogelberg, Omar Hamed, Kobra Etminani, Jens Nygren:
Interdisciplinary Human-Centered AI for Hospital Readmission Prediction of Heart Failure Patients. MIE 2023: 556-560 - [c2]Omar Hamed, Amira Soliman, Kobra Etminani:
Temporal Context Matters: An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease. MIE 2023: 613-614 - 2021
- [c1]Omar Hamed, H. Joe Steinhauer:
Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach. AAAI 2021: 15795-15796
Informal and Other Publications
- 2024
- [i2]Omar Hamed, Souhail Bakkali, Marie-Francine Moens, Matthew B. Blaschko, Jordy Van Landeghem:
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting. CoRR abs/2405.12705 (2024) - [i1]Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami:
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis. CoRR abs/2407.13849 (2024)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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