Bilaketaren emaitzak - "Machine Learning"

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU nork Benjamin Shickel, Benjamin Shickel, Anis Davoudi, Anis Davoudi, Tezcan Ozrazgat-Baslanti, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, Matthew Ruppert, Azra Bihorac, Azra Bihorac, Parisa Rashidi, Parisa Rashidi, Parisa Rashidi

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Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review nork Albert Boonstra, Mente Laven

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Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring nork Mahsa Sheikh, M. Qassem, Panicos A. Kyriacou

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Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining nork Oliver Haas, Oliver Haas, Luis Ignacio Lopera Gonzalez, Sonja Hofmann, Christoph Ostgathe, Andreas Maier, Eva Rothgang, Oliver Amft, Tobias Steigleder

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Employing automatic analysis tools aligned to learning progressions to assess knowledge application and support learning in STEM nork Leonora Kaldaras, Kevin Haudek, Joseph Krajcik

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Know Yourself: Physical and Psychological Self-Awareness With Lifelog nork Jiayu Li, Weizhi Ma, Min Zhang, Pengyu Wang, Yiqun Liu, Shaoping Ma

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Classification of Chest Radiology Images in Order to Identify Patients with COVID-19 Using Deep Learning Techniques nork Marsa Gholamzadeh, Seyed Mohammad Ayyoubzadeh, Hoda Zahedi, Sharareh Rostam Niakan Kalhori

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Multi-Stage Audio-Visual Fusion for Dysarthric Speech Recognition With Pre-Trained Models nork Chongchong Yu, Xiaosu Su, Zhaopeng Qian

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Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor nork Natalia Czub, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk

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Identification of ferroptosis related markers by integrated bioinformatics analysis and In vitro model experiments in rheumatoid arthritis nork Jinjun Xia, Lulu Zhang, Tao Gu, Qingyang Liu, Qiubo Wang

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Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection nork Md. Mahbubur Rahman, Mostofa Kamal Nasir, Md. Nur-, Md. Saikat Islam Khan

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Large-Scale Evaluation of Collision Cross Sections to Investigate Blood-Brain Barrier Permeation of Drugs nork Armin Sebastian Guntner, Thomas Bögl, Franz Mlynek, Wolfgang Buchberger

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Privacy-preserving logistic regression training nork Charlotte Bonte, Frederik Vercauteren

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How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method nork Kurubaran Ganasegeran, Mohd Rizal Abdul Manaf, Nazarudin Safian, Lance A. Waller, Feisul Idzwan Mustapha, Khairul Nizam Abdul Maulud, Muhammad Faid Mohd Rizal

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HDE-Array: Development and Validation of a New Dry Electrode Array Design to Acquire HD-sEMG for Hand Position Estimation nork Giovanni Rolandino, Chiara Zangrandi, Taian Vieira, Giacinto Luigi Cerone, Brian Andrews, James J. FitzGerald

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Identification of Fasudil as a collaborator to promote the anti-tumor effect of lenvatinib in hepatocellular carcinoma by inhibiting GLI2-mediated hedgehog signaling pathway nork Yilan Huang, Siwei Wang, Xiaojun Zhang, Chen Yang, Sikai Wang, Hongxia Cheng, Aiwu Ke, Chao Gao, Kun Guo

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Enrichment analysis of phenotypic data for drug repurposing in rare diseases nork Alberto Ambesi-Impiombato, Kimberly Cox, Sylvie Ramboz, Daniela Brunner, Mukesh Bansal, Emer Leahy

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Toward modeling metabolic state from single-cell transcriptomics nork Karin Hrovatin, David S. Fischer, Fabian J. Theis

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Fine-tuning of BERT Model to Accurately Predict Drug-Target Interactions nork Hyeunseok Kang, Sungwoo Goo, Hyunjung Lee, Jung-woo Chae, Hwi-yeol Yun, Sangkeun Jung

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Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors nork Jacobson, Nicholas C, Summers, Berta, Wilhelm, Sabine

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