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Safe: Machine unlearning with shard graphs
Abstract We present Synergy Aware Forgetting Ensemble (SAFE), a method to adapt large
models on a diverse collection of data while minimizing the expected cost to remove the …
models on a diverse collection of data while minimizing the expected cost to remove the …
AI model disgorgement: Methods and choices
Over the past few years, machine learning models have significantly increased in size and
complexity, especially in the area of generative AI such as large language models. These …
complexity, especially in the area of generative AI such as large language models. These …
A new hazard event classification model via deep learning and multifractal
Z Wang, B Wang, M Ren, D Gao - Computers in Industry, 2023 - Elsevier
Hazard and operability analysis (HAZOP) is the paradigm of industrial safety that can reveal
the hazards of process from its node deviations, consequences, causes, measures and …
the hazards of process from its node deviations, consequences, causes, measures and …
Linking negative herding effect to online public opinion: A new BiGADG approach for sentiment classification
Y Zhou, Y Hu, H Liu, P Huang, D Dai - Expert Systems, 2024 - Wiley Online Library
The negative herding effect tends to cause the spread of negative emotions among netizens,
resulting in significant public opinion crises. Therefore, linking the negative herding effect …
resulting in significant public opinion crises. Therefore, linking the negative herding effect …
GRALA: modeling social information for microblog sentiment analysis from the view of balancing sparsity and smoothness of social contexts
X Zou, S Hu, T Li - 2023 Asia Pacific Signal and Information …, 2023 - ieeexplore.ieee.org
As online social networks provide people with a popular and convenient platform to express
opinions, microblog sentiment analysis has become a hot research area. Currently, social …
opinions, microblog sentiment analysis has become a hot research area. Currently, social …
A Multi-dimension and Multi-granularity Feature Fusion Method for Chinese Microblog Sentiment Classification
T Wei, X Liu, L Qu, Y Chen - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
Chinese microblog comments exhibit a wide range of expressions, including brief terms and
internet slang. Traditional single-feature models may not capturing this diversity …
internet slang. Traditional single-feature models may not capturing this diversity …
Building Classes for Sentiment of Social Media Content Using WU Semantic Measure
A Kayed, MA Saidi - The International Conference on Innovations in …, 2022 - Springer
Sentiment classification or opinion mining is conducted to extract the core data representing
opinions, and emotions. Motivated by the role of social media on appointing the dimension …
opinions, and emotions. Motivated by the role of social media on appointing the dimension …