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Hooman Sedghamiz

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2020 – today

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2021
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Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. EMNLP (Findings) 2021: 3398-3403
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Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. EMNLP (Findings) 2021: 3534-3546
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Shivam Raval, Hooman Sedghamiz, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi, Emmanuele Chersoni:
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media. CoRR abs/2109.05815 (2021)
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Hooman Sedghamiz, Shivam Raval, Enrico Santus, Tuka Alhanai, Mohammad M. Ghassemi:
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations. CoRR abs/2109.07424 (2021)

2010 – 2019

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2018
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Hooman Sedghamiz, Matthew Morris, Travis J. A. Craddock, L. Darrell Whitley, Gordon Broderick:
High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology. BMC Syst. Biol. 12(1): 76:1-76:16 (2018)
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Hooman Sedghamiz:
BioSigKit: A Matlab Toolbox and Interface for Analysis of BioSignals. J. Open Source Softw. 3(30): 671 (2018)
2017
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Hooman Sedghamiz, Wenxiang Chen, Mark Rice, L. Darrell Whitley, Gordon Broderick:
Selecting Optimal Models Based on Efficiency and Robustness in Multi-valued Biological Networks. BIBE 2017: 200-205

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