Search Results - Regularization parameter

Institutional Effectiveness and Economic Development: A Machine Learning Approach With Empirical Modelling. by Singh, Navneet Kumar, Silayach, Nikee, Ray, Rajeev Kumar, Dash, Devi Prasad

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A Network Analysis of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): An Intercontinental Large-Scale Study. by Lecuona, Oscar, Lin, Chung-Ying, Montag, Christian, Pontes, Halley M., Pakpour, Amir H.

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Optimization of Block Sequential Regularized Expectation Maximization Reconstruction Parameters for Striatal SPECT Using a Ring-Type Semiconductor SPECT/CT System. by Yamaguchi, Nao, Odagiri, Hayato, Sato, Hayato, Kodama, Hiroyasu, Tanaka, Yoshitaka, Takeuchi, Takashi, Takanami, Kentaro, Usui, Akihito, Kaneta, Tomohiro

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An Innovative Approach to Predict Drinking Water Risks Using System, Community, and Regulatory Characteristics. by Ye, Liangfei, Dong, Qianqian, McCright, Aaron, Gasteyer, Stephen

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Development and Evaluation of an Optimal Machine Learning Model for Predicting Nutritional Risk in Nasopharyngeal Carcinoma Patients: A Cross-Sectional Study. by Zhu, Benxiang, Gao, Chang, Chen, Peijuan, Zhang, Lu, Liu, Lian, Zhang, Lili

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Objective Biobehavioral Measures Reflect Burnout States and Temporal Changes in a Nursing Population: A Prospective Observational Assessment. by Bourassa, Katelynn A., Lamichhane, Bishal, Bartek, Nicole, Bautista, Chandra, Sano, Akane, Madan, Alok

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Parental Stress and Coping in Autism Spectrum Disorder: A Network Analysis of Internalizing and Externalizing Symptoms in Children With Autism Spectrum Disorder. by Gharaibeh, Mahmoud, Ayasrah, Mohammad Nayef, Al‐Rousan, Ayoub Hamdan, Khasawneh, Yusra Jadallah Abed, Khasawneh, Mohamad Ahmad Saleem

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Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise. by Mehranian, Abolfazl, Wollenweber, Scott D., Walker, Matthew D., Bradley, Kevin M., Fielding, Patrick A., Su, Kuan-Hao, Johnsen, Robert, Kotasidis, Fotis, Jansen, Floris P., McGowan, Daniel R.

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Modeling of Moving Sound Sources Based on Array Measurements by Fanyu Meng

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Development and Validation of Machine Learning-Based Models for Predicting Postoperative Depression Risk in Patients With Ovarian Cancer. by Zhao, Jitong, Pei, Kaige, Liu, Junhan, Bian, Ce, Ling, Chen

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Modeling Responses to Auditory Feedback Perturbations in Adults, Children, and Children With Complex Speech Sound Disorders: Evidence for Impaired Auditory Self-Monitoring? by Terband, Hayo, van Brenk, Frits

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MulCogBench: a multi-modal cognitive benchmark dataset for evaluating Chinese and English computational language models. by Zhang, Yunhao, Zhang, Xiaohan, Li, Chong, Wang, Shaonan, Zong, Chengqing

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Network hub gene detection using the entire solution path information. by Kuismin, Markku, Sillanpää, Mikko J

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Identifying Linguistic Markers of French-Speaking Teenagers With Developmental Language Disorder: Which Tasks Matter? by Courteau, Émilie, Loignon, Guillaume, Steinhauer, Karsten, Royle, Phaedra

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Estimation of impulse response between electromyogram signals for use in conduction delay distribution estimation. by Hassan, Tahsin, McIntosh, Kyle C D, Gabriel, David A, Clancy, Edward A

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Endothelin-1 in combination with CRB-65 enhance risk stratification in COVID-19 patients. by Farhat, Imrana, Rosolowski, Maciej, Ahrens, Katharina, Lienau, Jasmin, Ahnert, Peter, Pletz, Mathias, Rohde, Gernot, Rupp, Jan, Witzenrath, Martin, Scholz, Markus

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Predicting internal carotid artery system risk based on common carotid artery by machine learning. by Tong, Yuhao, Zhang, Qingyi, Zhang, Feng, Mu, Weidong, Su, Steven W., Liu, Lin

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Predicting aggressive disease and poor outcome in endometrial cancer using preoperative [18F]FDG PET primary tumor radiomics. by Fasmer, Kristine Eldevik, Gulati, Ankush, Lindås, Sunniva, Krakstad, Camilla, Haldorsen, Ingfrid Salvesen

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CT-based radiogenomic analysis to predict high-risk colon cancer (ATTRACT): a multicentric trial. by Caruso, Damiano, Polici, Michela, Zerunian, Marta, Monterubbiano, Andrea, Tarallo, Mariarita, Pilozzi, Emanuela, Belloni, Laura, Scafetta, Giorgia, Valanzuolo, Daniela, Pugliese, Dominga, De Santis, Domenico, Vecchione, Andrea, Mercantini, Paolo, Iannicelli, Elsa, Fiori, Enrico, Laghi, Andrea

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Post-processing steps improve generalisability and robustness of an MRI-based radiogenomic model for human papillomavirus status prediction in oropharyngeal cancer. by Ahmadian, Milad, Bodalal, Zuhir, Bos, Paula, Martens, Roland M., Agrotis, Georgios, van der Hulst, Hedda J., Vens, Conchita, Karssemakers, Luc, Al-Mamgani, Abrahim, de Graaf, Pim, Jasperse, Bas, Brakenhoff, Ruud H., Leemans, C. René, Beets-Tan, Regina G. H., Castelijns, Jonas A., van den Brekel, Michiel W. M.

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