This volume contains papers presented at E-Vote-ID 2022, the Seventh International JointConference on Electronic Voting, held during October 4–7, 2022. This was the first in-personconference following the COVID-19 pandemic, and, as such, it was a very special event forthe community since we returned to the traditional venue in Bregenz, Austria.
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Link Prediction in Heterogeneous Information Networks: Improved Hypergraph Convolution with Adaptive Soft Voting. [PDF]
Zhang S +6 more
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Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies. [PDF]
Majumdar S, Elkind E, Pournaras E.
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Social capital's association with self-reported health outcomes in the rural south: variations by demographic subgroup. [PDF]
Bigger LM +5 more
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On the Consistency of Automatic Scoring with Large Language Models. [PDF]
Xue M, Xiao X, Liu Y, Wilson M.
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HED-Net: a hybrid ensemble deep learning framework for breast ultrasound image classification. [PDF]
Koshy SS +3 more
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A service-oriented architecture for robust e-voting [PDF]
Anane, Rachid, Cooke, R.
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Machine Learning for Predicting Coronary Heart Disease Risk in Patients with Hypertension: An Ensemble Modeling Approach. [PDF]
Hassan FH, Wang S, Miron A.
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The Platform Messaging Effect (PME): A quantification of how go-vote reminders on social media platforms can influence voting intentions. [PDF]
Epstein R +3 more
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Wolfgang Drechsler, Ülle Madise
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