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"Health Is the Real Wealth": Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems.

, , , and . FQAS, volume 14113 of Lecture Notes in Computer Science, page 234-246. Springer, (2023)

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Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks., , , , and . IPMU (2), volume 1602 of Communications in Computer and Information Science, page 275-287. Springer, (2022)Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter., , , , and . CogSci, cognitivesciencesociety.org, (2023)Improving automatic cyberbullying detection in social network environments by fine-tuning a pre-trained sentence transformer language model., , and . Soc. Netw. Anal. Min., 14 (1): 136 (December 2024)"Health Is the Real Wealth": Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems., , , and . FQAS, volume 14113 of Lecture Notes in Computer Science, page 234-246. Springer, (2023)A Fuzzy-Based Approach for Cyberbullying Analysis., , , , , and . IPMU (2), volume 1602 of Communications in Computer and Information Science, page 317-328. Springer, (2022)A Fuzzy Mining Approach for Energy Efficiency in a Big Data Framework., , and . IEEE Trans. Fuzzy Syst., 28 (11): 2747-2758 (2020)An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter., , , , and . FQAS, volume 14113 of Lecture Notes in Computer Science, page 221-233. Springer, (2023)Fuzzy Association Rules Mining Using Spark., , and . IPMU (2), volume 854 of Communications in Computer and Information Science, page 15-25. Springer, (2018)Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes., , , , and . FQAS, volume 14113 of Lecture Notes in Computer Science, page 256-264. Springer, (2023)Mining Text Patterns over Fake and Real Tweets., , , and . IPMU (2), volume 1238 of Communications in Computer and Information Science, page 648-660. Springer, (2020)