Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…Causal interventions are applied by severing specific causal links, effectively reducing confounding effects and enhancing model robustness. …”
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Biplot visualisations of the differences between multiple imputation techniques for simulated categorical data by Johané Nienkemper-Swanepoel

“…This manuscript compares four ready-to-use R packages for multiple imputation of missing multivariate categorical data. The selected methods provide a variety of approaches to investigate the possible effect of congenial imputation and analysis models when compared to other imputation methods. …”
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INNOVATIVE POTENTIAL OF ENTERPRISE: CONCEPTUAL AND CATEGORICAL APPARATUS AND ECONOMIC AND MATHEMATICAL MODEL OF VALUATION by Ілля Чіков

“… The article is devoted to the study of the innovative potential of the enterprise, in particular, the conceptual and categorical apparatus and the development of the economic-mathematical evaluation model. …”
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Health and training-competition taxon categorization of body immersion and cold water swimming by Higl Sebastijan, Obradović Aleksandra

“…By identifying and analyzing 128 articles from four scientific databases, several areas of knowledge related to the effects of stress, cold water and swimming, i.e. the responses of organic systems and their co-adaptations, were determined. …”
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Multiview attention networks for fine-grained watershed categorization via knowledge distillation. by Huimin Gong, Cheng Zhang, Jinlin Teng, Chunqing Liu

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Leveraging generative AI for course learning outcome categorization using Bloom's taxonomy by Omaima Almatrafi, Aditya Johri

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Categorization of Celebrity Photos Based on Deep Machine Learning for Feature Extraction and Classification by Salwa Shakir Baawi, Farah Jawad Al-Ghanim, Nisreen Ryadh Hamza

“…This paper aims to analyze celebrity categorization based on deep features under different conditions. …”
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Inequality and Total Effect Summary Measures for Nominal and Ordinal Variables by Trenton D. Mize, Bing Han

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Categorical-Parallel Adversarial Defense for Perception Models on Single-Board Embedded Unmanned Vehicles by Yilan Li, Xing Fan, Shiqi Sun, Yantao Lu, Ning Liu

“…To address these challenges, we propose Ca-PAT, an efficient and effective adversarial training framework designed to mitigate perturbations. …”
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Post-Hoc Categorization Based on Explainable AI and Reinforcement Learning for Improved Intrusion Detection by Xavier Larriva-Novo, Luis Pérez Miguel, Victor A. Villagra, Manuel Álvarez-Campana, Carmen Sanchez-Zas, Óscar Jover

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A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

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Automatic categorization of medical documents in Afaan Oromo using ensemble machine learning techniques by Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe, Krishnaraj Ramaswamy

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An Efficient Methodology for the Categorization of Software Requirements Using Natural Language Processing and Similarity Analysis by Rahat Izhar, Kenneth Cosh, Lachana Ramingwon, Sakgasit Ramingwong, Shahid N. Bhatti

“…The dual-evaluation process verified the model’s effectiveness, showcasing high precision and recall rates in both controlled and practical environments.…”
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RanViz: Ransomware Visualization and Classification Based on Time-Series Categorical Representation of API Calls by Vhuhwavho Mokoma, Avinash Singh

“…Second, the temporal and categorical nature of this data makes identifying meaningful patterns complex. …”
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A new internal clustering validation index for categorical data based on concentration of attribute values by FU Li-wei, WU Sen

“…Most traditional internal clustering validation indices for numerical data fail to measure the categorical data. Categorical data is a popular data type, and its attribute value is discrete and cannot be ordered. …”
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Mediation model with a categorical exposure and a censored mediator with application to a genetic study. by Jian Wang, Jing Ning, Sanjay Shete

“…In this study, we proposed overall measures of indirect, direct, and total effects for a mediation model with a categorical exposure and a censored mediator, which accounts for the frequency of different values of the categorical exposure. …”
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Assessing the association between menstrual cycle phase and voice-gender categorization: no robust evidence for an association by Sarah Friedrich, Edward S. Brodkin, Birgit Derntl, Birgit Derntl, Ute Habel, Ute Habel, Philippa Hüpen, Philippa Hüpen

“…For this reason, we investigated the influence of cycle phase and levels of estrogen and progesterone on performance in a voice-gender categorization task. Our expectation was to find a more pronounced other-sex effect, so faster and more accurate reactions for masculine voices, in the follicular (fertile) phase than in the luteal phase.MethodsWe measured 65 healthy, naturally-cycling women, half of them in the follicular phase and the other half in the luteal phase. …”
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Pharmacological Neuroenhancement: Current Aspects of Categorization, Epidemiology, Pharmacology, Drug Development, Ethics, and Future Perspectives by Johanna Daubner, Muhammad Imran Arshaad, Christina Henseler, Jürgen Hescheler, Dan Ehninger, Karl Broich, Oliver Rawashdeh, Anna Papazoglou, Marco Weiergräber

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Categorization of Breast Fine Needle Aspirates Using Yokohama Classification and Its Correlation With Histopathological Findings by Vishal Rohilla, Parveen Kundu, Monika Gathwal, Pushpendra Malik, Chiranjeev Gathwal, Sunaina Hooda

“…Conclusion: The Yokohama system effectively classified borderline lesions, facilitating early detection and improved management options. …”
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Categorization of Chinese Dry-Cured Ham Based on Three Sticks’ Method by Multiple Sensory Technologies by Dong Xia, Dan Ni Zhang, Shao Ting Gao, Le Chen, Nan Li, Fu Ping Zheng, Yuan Liu

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