International Conference on Computer and Knowledge Engineering

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Home / 12th International Conference on Computer and Knowledge Engineering

Weakly Supervised Learning in a Group of Learners with Communication

Authors :

Ali Ganjbakhsh¹ Ahad Harati²

1- Ferdowsi university of mashhad 2- Ferdowsi university of mashhad

Keywords :

Weak Supervision،Incomplete Supervision،Graph modeling،Graph Neural Networks

Abstract :

In the initial research, we executed these inferences according to the limited graph that we used as input, although the approximate inference can also be used. We have designed a system where learners with little knowledge of the problem can label unlabeled data with each other's help and this data can be used to train learners. It should be noted that sharing opinions It causes solidarity. In our proposed method, the accuracy of the system is controlled by preventing the correlation effect between users in voting for labeling unlabeled data.

List of archived papers

Islamic Geometric algorithms: A survey

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Weakly Supervised Learning in a Group of Learners with Communication

Ali Ganjbakhsh - Ahad Harati

IranITJobs2021: a Dataset for Analyzing Iranian Online IT Job Advertisements Collected Using a New Crowdsourcing Process

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AI-Driven Relocation Tracking in Dynamic Kitchen Environments

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Dual-Mode Density-Aware Attention-based Hierarchical Graph Pooling

Roya Booryaee - Parsa Haddadian - Ali Kamandi

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