Corps (é)conduits : La construction d’un regard-machine dans Crash (1996) et Cosmopolis (2012) de David Cronenberg by Guilhem Billaudel

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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

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Machine learning in the prediction of human wellbeing by Ekaterina Oparina, Caspar Kaiser, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, S. Huzurbazar

Subjects: “…machine learning…”
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Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

Subjects: “…machine learning…”
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Risk of autism spectrum disorder at 18 months of age is associated with prenatal level of polychlorinated biphenyls exposure in a Japanese birth cohort by Hirokazu Doi, Akira Furui, Rena Ueda, Koji Shimatani, Midori Yamamoto, Akifumi Eguchi, Naoya Sagara, Kenichi Sakurai, Chisato Mori, Toshio Tsuji

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Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method by Jianhang Wang, Zheng Xiang, Binbin Ni, Deyu Guo, Yangxizi Liu, Junhu Dong, Jingle Hu, Haozhi Guo

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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

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Unveiling shadows: A data-driven insight on depression among Bangladeshi university students by Sanjib Kumar Sen, Md. Shifatul Ahsan Apurba, Anika Priodorshinee Mrittika, Md. Tawhid Anwar, A.B.M. Alim Al Islam, Jannatun Noor

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Big Data, Machine Intelligence and Their Impacts to the Future World by Jun Wu

Subjects: “…machine interlligence…”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

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ANALYSIS OF DOWNTIME IN A TYPICAL NIGERIAN MULTINATIONAL BOTTLING COMPANY by ABAFI JOEL, OKE ADEKOLA

Subjects: “…downtime, maintenance, reliability, failure data, machine…”
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Regressions on quantum neural networks at maximal expressivity by Iván Panadero, Yue Ban, Hilario Espinós, Ricardo Puebla, Jorge Casanova, Erik Torrontegui

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Research on Database Deployment Technology in Cloud Computing Environment by Yongshun Cai, Mingchuan Yang, Wei Si, Shaoyang Rao

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

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Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages by Tomasz Wiejak, Jakub Smołka

Subjects: “…machine learning…”
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Survey on anomaly detection technology based on logs by Yingjun ZHANG, Ushangqi LI, Mu YANG, Haixia ZHANG, Kezhen HUANG

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La notion d’appareil chez Jean-Louis Déotte et le dispositif foucaldien by Denis Skopin

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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

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