Search Results - "Algorithm validation"

Machine learning algorithm validation with a limited sample size by Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.

“…Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high…”
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Idiopathic Pulmonary Fibrosis in United States Automated Claims. Incidence, Prevalence, and Algorithm Validation by Esposito, Daina B., Lanes, Stephan, Donneyong, Macarius, Holick, Crystal N., Lasky, Joseph A., Lederer, David, Nathan, Steven D., O’Quinn, Sean, Parker, Joseph, Tran, Trung N.

“…Estimates of idiopathic pulmonary fibrosis (IPF) incidence and prevalence from electronic databases without case validation may be inaccurate. Develop claims…”
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Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation by Poelman, Dieter R., Schulz, Wolfgang, Pedeboy, Stephane, Campos, Leandro Z. S., Matsui, Michihiro, Hill, Dustin, Saba, Marcelo, Hunt, Hugh

“…At present the lightning flash density is a key input parameter for assessing the risk of occurrence of a lightning strike in a particular region of interest…”
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Beyond rankings: Learning (more) from algorithm validation by Roß, Tobias, Bruno, Pierangela, Reinke, Annika, Wiesenfarth, Manuel, Koeppel, Lisa, Full, Peter M., Pekdemir, Bünyamin, Godau, Patrick, Trofimova, Darya, Isensee, Fabian, Adler, Tim J., Tran, Thuy N., Moccia, Sara, Calimeri, Francesco, Müller-Stich, Beat P., Kopp-Schneider, Annette, Maier-Hein, Lena

“…Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner. While the validation on identical data…”
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DamMet algorithm validation for paleoepigenetic disease investigation by Borodko, Daria, Omelchenko, Andrey

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Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment by Maleki, Farhad, Muthukrishnan, Nikesh, Ovens, Katie, Reinhold, Caroline, ghani, Reza

“…The deployment of machine learning (ML) models in the health care domain can increase the speed and accuracy of diagnosis and improve treatment planning and…”
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A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication by Liu, Chong, Zhang, Qi, Tao, Shiqi, Qi, Jiaguo, Ding, Mingjun, Guan, Qihui, Wu, Bingfang, Zhang, Miao, Nabil, Mohsen, Tian, Fuyou, Zeng, Hongwei, Zhang, Ning, Bavuudorj, Ganbat, Rukundo, Emmanuel, Liu, Wenjun, Bofana, José, Beyene, Awetahegn Niguse, Elnashar, Abdelrazek

“…Accurate estimation of cropping intensity (CI), an indicator of food production, is well aligned with the ongoing efforts to achieve sustainable development…”
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Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson’s Disease by Rehman, Rana Zia Ur, Klocke, Philipp, Hryniv, Sofia, Galna, Brook, Rochester, Lynn, Del Din, Silvia, Alcock, Lisa

“…Parkinson’s disease (PD) is a common neurodegenerative disorder resulting in a range of mobility deficits affecting gait, balance and turning. In this paper,…”
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Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation by Kaminsky, Zachary, McQuaid, Robyn J, Hellemans, Kim GC, Patterson, Zachary R, Saad, Mysa, Gabrys, Robert L, Kendzerska, Tetyana, Abizaid, Alfonso, Robillard, Rebecca

“…Previous efforts to apply machine learning-based natural language processing to longitudinally collected social media data have shown promise in predicting…”
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ActiGraph GT3X+ and Actical Wrist and Hip Worn Accelerometers for Sleep and Wake Indices in Young Children Using an Automated Algorithm: Validation With Polysomnography by Smith, Claire, Galland, Barbara, Taylor, Rachael, Meredith-Jones, Kim

“…Our count-scaled algorithm automatically scores sleep across 24 hours to process sleep timing, quantity, and quality. The aim of this study was to validate the…”
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A machine-learning-accelerated distributed LBFGS method for field development optimization: algorithm, validation, and applications by Alpak, Faruk, Gao, Guohua, Florez, Horacio, Shi, Steve, Vink, Jeroen, Blom, Carl, Saaf, Fredrik, Wells, Terence

“…We have developed a support vector regression (SVR) accelerated variant of the distributed derivative-free optimization (DFO) method using the limited-memory…”
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Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015–2017 Prevalence by Moccia, Marcello, Brescia Morra, Vincenzo, Lanzillo, Roberta, Loperto, Ilaria, Giordana, Roberta, Fumo, Maria Grazia, Petruzzo, Martina, Capasso, Nicola, Triassi, Maria, Sormani, Maria Pia, Palladino, Raffaele

“…We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the…”
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Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters by De Keukelaere, L., Sterckx, S., Adriaensen, S., Knaeps, E., Reusen, I., Giardino, C., Bresciani, M., Hunter, P., Neil, C., Van der Zande, D., Vaiciute, D.

“…Image correction for atmospheric effects (iCOR) is an atmospheric correction tool that can process satellite data collected over coastal, inland or…”
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Support-vector regression accelerated well location optimization: algorithm, validation, and field testing by Alpak, Faruk O., Jain, Vivek

“…We have developed a machine-learning (ML) accelerated optimization method for challenging real-life well-location optimization (WLO) applications. The…”
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Pathways to breast cancer screening artificial intelligence algorithm validation by Lee, Christoph I., Houssami, Nehmat, Elmore, Joann G., Buist, Diana S.M.

“…As more artificial intelligence (AI)-enhanced mammography screening tools enter the clinical market, greater focus will be placed on external validation in…”
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SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets by Sayer, A. M., Hsu, N. C., Bettenhausen, C., Ahmad, Z., Holben, B. N., Smirnov, A., Thomas, G. E., Zhang, J.

“…The Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) provides a well‐calibrated 13‐year (1997–2010) record of top‐of‐atmosphere radiance, suitable for use in…”
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AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products by Lim, Hyunkwang, Choi, Myungje, Kim, Jhoon, Kasai, Yasuko, Chan, Pak Wai

“…Himawari-8, a next-generation geostationary meteorological satellite, was successfully launched by the Japanese Meteorological Agency (JMA) on 7 October 2014…”
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AEQUAM: Accelerating Quantum Algorithm Validation Through FPGA-Based Emulation by Lagostina, Lorenzo, Volpe, Deborah, Zamboni, Maurizio, Turvani, Giovanna

“…This work presents AEQUAM (Area Efficient QUAntum eMulation), a toolchain that enables faster and more accessible quantum circuit verification. It consists of…”
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Neural network temperature and moisture retrieval algorithm validation for AIRS/AMSU and CrIS/ATMS by Milstein, Adam B., Blackwell, William J.

“…We present comprehensive validation results for the recently introduced neural network technique for retrieving vertical profiles of atmospheric temperature…”
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An efficient photovoltaic modeling using an Adaptive Fractional-order Archimedes Optimization Algorithm: Validation with partial shading conditions by Yousri, Dalia, Shaker, Yomna, Mirjalili, Seyedali, Allam, Dalia

“…Detecting the maximum power point in the photovoltaic (PV) system under normal and shaded weather conditions with high accuracy is vital to save the harvested…”
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