Federated unlearning via class-discriminative pruning
We explore the problem of selectively forgetting categories from trained CNN classification
models in federated learning (FL). Given that the data used for training cannot be accessed …
models in federated learning (FL). Given that the data used for training cannot be accessed …
[HTML][HTML] Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and …
The increasing use of data-driven decision support systems in industry and governments is
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
A unified understanding of deep nlp models for text classification
The rapid development of deep natural language processing (NLP) models for text
classification has led to an urgent need for a unified understanding of these models …
classification has led to an urgent need for a unified understanding of these models …
Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining
Online review helpfulness has always sparked a heated discussion among academics and
practitioners. Despite the fact that research has extensively examined the impacts of review …
practitioners. Despite the fact that research has extensively examined the impacts of review …
Automatic identification of causal factors from fall-related accident investigation reports using machine learning and ensemble learning approaches
To enhance the performance of learning from past fall-related accidents, this study
developed an innovative framework for automatically extracting every individual causal …
developed an innovative framework for automatically extracting every individual causal …
[HTML][HTML] Changes in consumer behaviour in the post-COVID-19 era in Seoul, South Korea
H Jo, E Shin, H Kim - Sustainability, 2020 - mdpi.com
To prevent the spread of COVID-19, the Korean government promoted strong social
distancing policies and restricted the use of confined areas and spaces that are likely to …
distancing policies and restricted the use of confined areas and spaces that are likely to …
[HTML][HTML] Changes in consumers' awareness and interest in cosmetic products during the pandemic
YH Choi, SE Kim, KH Lee - Fashion and Textiles, 2022 - Springer
This research investigates the impact of the COVID-19 pandemic on consumers'
perspectives of beauty and individual cosmetic products. Since the first confirmed case of …
perspectives of beauty and individual cosmetic products. Since the first confirmed case of …
Artificial intelligence accelerates multi-modal biomedical process: A Survey
The abundance of artificial intelligence AI algorithms and growing computing power has
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
A decision‐making algorithm for online shopping using deep‐learning–based opinion pairs mining and q‐rung orthopair fuzzy interaction Heronian mean operators
Z Yang, T Ouyang, X Fu, X Peng - International journal of …, 2020 - Wiley Online Library
In the process of online shopping, consumers usually compare the review information of the
same product in different e‐commerce platforms. The sentiment orientation of online reviews …
same product in different e‐commerce platforms. The sentiment orientation of online reviews …
A deep-learning based citation count prediction model with paper metadata semantic features
A Ma, Y Liu, X Xu, T Dong - Scientometrics, 2021 - Springer
Predicting the impact of academic papers can help scholars quickly identify the high-quality
papers in the field. How to develop efficient predictive model for evaluating potential papers …
papers in the field. How to develop efficient predictive model for evaluating potential papers …