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Is Ground Truth Always Correct? An Explainable Analytics Ecosystem: Understanding Misjudgments for Enhancing Decision-makings in Medicine and Recommender Systems

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Is Ground Truth Always Correct? An Explainable Analytics Ecosystem: Understanding Misjudgments for Enhancing Decision-makings in Medicine and Recommender Systems

TC can identify all positive (e.g., malignant) observations at low ratios of training to testing data, e.g., 1:9 using the Breast Cancer Wisconsin (Original) dataset. Without fine-tuned parameters and random selection, the uncertainty of the methodology is eliminated when using TC. TC would be useful for reducing misjudgments (e.g., diagnostic errors) and avoiding waste of medical resources and legal disputes. On the other hand, a TC-based recommender system can achieve around 50% hit rate of successful recommendation in the online retail dataset. The most import point is that TC do not need profile of customers, and therefore, TC is adequate for the EU’s AI regulation: fairness and privacy.

National Yunlin University of Science Technology

YunTech currently has 5 colleges including Engineering, Management, Design, Humanities and Science, and Future, 23 departments (including 4 degree programs) in the Fourth-Technical Day Department, 2 departments in the Second-Tech Daytime Department, and 2 degree programs in the Fourth-Technology Continuing Education Department. Master's Day Ministry 28 (including 1 degree program), 15 in-service master's programs (including 1 degree program), 13 doctoral programs (including 1 degree program), with approximately 10,000 students, of which approximately 10,000 are undergraduate students. 67%, and graduate students account for about 33%. There are 396 full-time teachers, of which more than 97% are assistant professors or above, 92% have doctorate degrees, more than 50% of teachers have doctorates from prestigious universities in Europe, the United States and Japan, and more than 91.7% of teachers have practical experience. 70% of teachers are more involved in industry-university cooperation and giving back to teaching.

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  • Name:Bai Haoting

  • Phone:05-324580分機5031

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  • Pavilion:Future Tech AIoT & Smart Applications

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Life Application

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  • Technology maturity:Trial production

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Exclusive license/assignment、Technical license/cooperation、Negotiate by self

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