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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine
Published 2022-12-01“…Namun dengan perkembangan teknologi komputer untuk AI, Machine Learning maupun Deep Learning, algoritma dengan basis AI tersebut, dalam penelitian ini dikembangkan untuk menemukan solusi general persamaan model T(n) secara otomatis dari desain algoritma sederhana atau kompleks. …”
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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition
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23
The Data Artifacts Glossary: a community-based repository for bias on health datasets
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Crime Prediction Using Decision Tree (J48) Classification Algorithm.
Published 2018“…This study considered the development of crime prediction prototype model using decision tree (J48) algorithm because it has been considered as the most efficient machine learning algorithm for prediction of crime data as described in the related literature. …”
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications
Published 2025-01-01“…IntroductionRecent developments in Artificial Intelligence (AI) and Machine Learning (ML) technologies have opened new avenues for their applications in dietary assessments. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks
Published 2024-01-01“…A lot of that can be attributed to the recent advancements in machine learning (ML) and deep learning (DL) as a whole, the power of deep neural networks and the incorporation of them into reinforcement learning algorithms and techniques. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT
Published 2024-12-01“…Despite these advances, there is still much work to be done regarding the explainability and fairness of machine learning models used in financial risk management. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT
Published 2023-12-01“…Despite these advances, there is still much work to be done regarding the explainability and fairness of machine learning models used in financial risk management. …”
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach
Published 2025-01-01“…The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups. …”
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Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function
Published 2021-01-01“…Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. …”
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31
A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes
Published 2025-02-01“…We further examine the methodological challenges in defining and measuring beauty, such as data imbalances and algorithmic fairness. By synthesizing insights from psychology and machine learning, this work highlights the potential of interdisciplinary approaches to enhance the reliability and inclusivity of automated beauty prediction systems. …”
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Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine
Published 2022-02-01“…Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China
Published 2025-01-01“…This study utilized the “Time Machine” feature to capture street view images from 2014, 2017, and 2021, analyzing changes in green visibility and its equity across residential communities in Wuhan. …”
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A Study of Supplier Selection Method Based on SVM for Weighting Expert Evaluation
Published 2021-01-01“…To tackle this problem, this paper proposes a novel method that employs machine learning to learn the credibility of expert from historical data, which is converted to weights in evaluation process. …”
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Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare
Published 2025-01-01“…Search terms encompassed “pediatric epilepsy,” “artificial intelligence,” “machine learning,” “ethical considerations,” and “data security.” …”
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Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues
Published 2025-01-01“…We highlight the need for standardized protocols, harmonized data-sharing policies, and advanced approaches such as artificial intelligence/machine learning to integrate multi-omics data and study gene-environment interactions. …”
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Large language models improve the identification of emergency department visits for symptomatic kidney stones
Published 2025-01-01“…In this study, we investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were due to symptomatic kidney stones. …”
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Effects of Organizational Culture on Employer Attractiveness of Hotel Firms: Topic Modeling Approach
Published 2022-01-01“…This study combines an unsupervised machine learning tool for topic modeling (latent Dirichlet allocation) with the coding process of researchers to measure the different cultural attributes of hotel firms. …”
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Correlation between the Quality of Talent Training and Regional Economic Development Based on Multivariate Statistical Analysis Model
Published 2022-01-01“…This paper incorporates machine learning algorithms to construct a multivariate statistics analysis model based on the correlation analysis model between talent training quality and regional economic development. …”
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