Relevant bibliographies by topics / Post-hoc global method

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Academic literature on the topic 'Post-hoc global method'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Post-hoc global method"

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Zhang, Xiaopu, Wubing Miao, and Guodong Liu. "Explainable Data Mining Framework of Identifying Root Causes of Rocket Engine Anomalies Based on Knowledge and Physics-Informed Feature Selection." Machines 13, no. 8 (2025): 640. https://doi.org/10.3390/machines13080640.

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Liquid rocket engines occasionally experience abnormal phenomena with unclear mechanisms, causing difficulty in design improvements. To address the above issue, a data mining method that combines ante hoc explainability, post hoc explainability, and prediction accuracy is proposed. For ante hoc explainability, a feature selection method driven by data, models, and domain knowledge is established. Global sensitivity analysis of a physical model combined with expert knowledge and data correlation is utilized to establish the correlations between different types of parameters. Then a two-stage op
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Prinzi, Francesco, Carmelo Militello, Calogero Zarcaro, Tommaso Vincenzo Bartolotta, Salvatore Gaglio, and Salvatore Vitabile. "Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics." Computer Methods and Programs in Biomedicine 260 (March 2025): 108576. https://doi.org/10.1016/j.cmpb.2024.108576.

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Zdravkovic, Milan. "On the global feature importance for interpretable and trustworthy heat demand forecasting." Thermal Science, no. 00 (2025): 48. https://doi.org/10.2298/tsci241223048z.

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The paper introduces the Explainable AI methodology to assess the global feature importance of the Machine Learning models used for heat demand forecasting in intelligent control of District Heating Systems (DHS), with motivation to facilitate their interpretability and trustworthiness, hence addressin g the challenges related to adherence to communal standards, customer satisfaction and liability risks. Methodology involves generation of global feature importance insights by using four different approaches, namely intrinsic (ante-hoc) interpretability of Gradient Boosting method and selected
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Mikołajczyk, Agnieszka, Michał Grochowski, and Arkadiusz Kwasigroch. "Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data." Journal of Artificial Intelligence and Soft Computing Research 11, no. 1 (2021): 51–67. http://dx.doi.org/10.2478/jaiscr-2021-0004.

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AbstractThe paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results are validated on a sample skin lesion dataset. Using the proposed method, a number of possible bias-causing artifacts are successfully identified and confi
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Joaquín, Clara, Nuria Alonso, Josep Lupón, et al. "Nutritional Status According to the GLIM Criteria in Patients with Chronic Heart Failure: Association with Prognosis." Nutrients 14, no. 11 (2022): 2244. http://dx.doi.org/10.3390/nu14112244.

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Background: The Global Leadership Initiative on Malnutrition (GLIM) criteria were recently proposed to build a global consensus on the diagnostic criteria for malnutrition. This study aimed to evaluate the GLIM criteria for its prognostic significance in outpatients with heart failure (HF), and to compare them to a previous validated method, such as the Mini Nutritional Assessment (MNA). Methods: This was a post hoc observational analysis of a prospectively recruited cohort, which included 151 subjects that attended an outpatient HF clinic. At baseline, all patients completed the nutritional s
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Huang, Jin, Feiping Nie, and Heng Huang. "Robust Discrete Matrix Completion." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 424–30. http://dx.doi.org/10.1609/aaai.v27i1.8675.

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Most existing matrix completion methods seek the matrix global structure in the real number domain and produce predictions that are inappropriate for applications retaining discrete structure, where an additional step is required to post-process prediction results with either heuristic threshold parameters or complicated mappings. Such an ad-hoc process is inefficient and impractical. In this paper, we propose a novel robust discrete matrix completion algorithm that produces the prediction from the collection of user specified discrete values by introducing a new discrete constraint to the mat
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Xing, Na, Ye Zhang, Yuehai Wang, and Yang Zhou. "Unmanned Aerial Vehicle Cooperative Data Dissemination Based on Graph Neural Networks." Sensors 24, no. 3 (2024): 887. http://dx.doi.org/10.3390/s24030887.

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Unmanned Aerial Vehicles (UAVs) have critical applications in various real-world scenarios, including mapping unknown environments, military reconnaissance, and post-disaster search and rescue. In these scenarios where communication infrastructure is missing, UAVs will form an ad hoc network and perform tasks in a distributed manner. To efficiently carry out tasks, each UAV must acquire and share global status information and data from neighbors. Meanwhile, UAVs frequently operate in extreme conditions, including storms, lightning, and mountainous areas, which significantly degrade the quality
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Sa'adah, Ajeng Samrotu, Diana Chusna Mufida, Dini Agustina, and Pulong Wijang Pralampita. "Effect of Immunization of The Pili Protein 65.5 kDa Klebsiella pneumoniae on IFN-γ Levels of Spleen BALB/c Mice." Indonesian Journal of Tropical and Infectious Disease 12, no. 2 (2024): 92–99. http://dx.doi.org/10.20473/ijtid.v12i2.54026.

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Klebsiella pneumoniae is a Gram-negative bacterium that poses a threat to the global community. Currently, no vaccine for K. pneumoniae is licensed by the Food and Drug Administration (FDA). The delay in the manufacture of the K. pneumoniae vaccine was because many vaccine candidates failed at the clinical trial stage due to adverse cross-reactions. Pili can be used as a choice as a vaccine candidate. Pili K. pneumoniae is an immunogenic substance that triggers an immune response, one of which is the cytokine IFN-γ. Splenic splenocytes are the main source of IFN-γ-producing cells. The aim of
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Adawiyah, Rabiatul, Tri Setyawati, Rahma Badaruddin, and Listawati. "Hypoglychemic activity of Moringa oleifera extract in streptozotocin-induced diabetic rats." Acta Biochimica Indonesiana 7, no. 1 (2024): 130. http://dx.doi.org/10.32889/actabioina.130.

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Background: Diabetes mellitus, particularly Type 2 (T2DM), is a global health concern characterized by high blood glucose levels and insulin resistance. Objective: This study aims to explore the hypoglycemic potential of M. oleifera, a plant that thrives in Central Sulawesi, using a rat model of T2DM. Method: Healthy male Wistar rats (weight 200-300 g, aged 9-11 weeks) were used in the experiment. The rats were divided into five groups: normal control (healthy), negative control (diabetic without treatment), positive control (diabetic treated with 9 mg/200 g metformin), treatment 1 (diabetic t
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Urbánová, Mária, Jana Kozáková, and Silvia Klátiková. "How do Slovak Women Perceive Their Opportunities on the Global Labor Market? Generational study." SHS Web of Conferences 92 (2021): 07064. http://dx.doi.org/10.1051/shsconf/20219207064.

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Research background: Despite European labor market offers wider opportunities of employment also for Slovak women, it is characterized by notable gender disparities too. Except for the 12% employment gap, the 16% wage gap still occurs. Study examines generational differences in attitudes of Slovak woman according to their opportunities on the global labor market with the respect of fact that, women’s own views on the need for such activities differ across generations. Purpose of the article: The aim is to point out that views of Slovak women on their opportunities at the global labor market is
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Book chapters on the topic "Post-hoc global method"

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Naumenko, Maksym, Iryna Hrashchenko, Tetiana Tsalko, Svitlana Nevmerzhytska, Svitlana Krasniuk, and Yurii Kulynych. "Innovative technological modes of data mining and modelling for adaptive project management of food industry competitive enterprises in crisis conditions." In PROJECT MANAGEMENT: INDUSTRY SPECIFICS. TECHNOLOGY CENTER PC, 2024. https://doi.org/10.15587/978-617-8360-03-0.ch2.

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Developed in this research scientific and practical applied project solutions regarding Data Mining for enterprises and companies (on the example of food industry) involve the application of advanced cybernetic computing methods/algorithms, technological modes and scenarios (for integration, pre-processing, machine learning, testing and in-depth comprehensive interpretation of the results) of analysis and analytics of large structured and semi-structured data sets for training high-quality descriptive, predictive and even prescriptive models. The proposed by authors multi-mode adaptive Data Mi
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Conference papers on the topic "Post-hoc global method"

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Bianchi, Matteo, Antonio De Santis, Andrea Tocchetti, and Marco Brambilla. "Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/411.

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Transparency and explainability in image classification are essential for establishing trust in machine learning models and detecting biases and errors. State-of-the-art explainability methods generate saliency maps to show where a specific class is identified, without providing a detailed explanation of the model's decision process. Striving to address such a need, we introduce a post-hoc method that explains the entire feature extraction process of a Convolutional Neural Network. These explanations include a layer-wise representation of the features the model extracts from the input. Such fe
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Larsary, Maryam Kazempour, and Hassan Pourbabaei. "Carbon Capture Potential Across Northern Forest of Iran, Case Study: Asalem Forests." In 3rd International Congress on Engineering and Life Science. Prensip Publishing, 2023. http://dx.doi.org/10.61326/icelis.2023.5.

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In the context of global climate change, carbon sequestration has become a highly valued function of forest ecosystems. Forests harbor approximately 44% of the global carbon pool, storing carbon dioxide (CO2) in their woody biomass, and playing an irreplaceable role in regulating global carbon balance. So, the main purpose of this research is to discover the importance of Iran’s northern forests in carbon capture potential through scientific approaches. To evaluate CO2 absorption, 164 400 m2 (20 × 20 m) temperate forest plots were stablished along altitudinal gradients (400-1800 m) within Asal
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Saad, Mazni, Ainun Khadijah Lokman, Mohd Hanafi Azman Ong, and Nor’Ain Othman. "AESTHETIC QUALITY OF ISLAND TOURISM IN MALAYSIA’S EAST COAST REGION: DOES DURATION OF STAY MATTER IN SATISFYING TOURISTS?" In GLOBAL TOURISM CONFERENCE 2021. PENERBIT UMT, 2021. http://dx.doi.org/10.46754/gtc.2021.11.040.

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The East Coast islands of Malaysia are becoming increasingly popular as a world-class nature tourism destination. Not only are they naturally beautiful and accessible, they are also attractive and appear as a destination image. However, whether satisfaction based on the aesthetic quality of the island is sufficient in determining a tourist’s duration of stay is being questioned. This study, therefore, sets out two objectives to investigate the relationship between Aesthetic qualities and Tourist Satisfaction which are to investigate which aesthetic quality has a significant influence on touris
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Berry, C., I. Motta, E. Kazounis, et al. "24-week regimens for treatment of rifampicin-resistant tuberculosis: four-arm randomised trial." In MSF Scientific Days International 2022. MSF-USA, 2022. http://dx.doi.org/10.57740/8wq5-2b43.

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INTRODUCTION Rifamipcin-resistant tuberculosis (RR-TB) affects around 465,000 people each year globally. Current treatment is of 9-20 months’ duration; is toxic and poorly efficacious. TB-PRACTECAL is a multi-arm, 2-stage, randomised controlled, multi-country, non-inferiority trial comparing 24-week regimens to the locally approved standard of care (control). We report TB-PRACTECAL stage 1 and 2 outcomes as well as additional analyses from dropped arms. METHODS Participants 15 years and above with pulmonary RR-TB from Uzbekistan, South Africa, and Belarus were included regardless of HIV status
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