Search Results - "Benchmarking"

Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data by Junttila, Sini, Smolander, Johannes, Elo, Laura L

“… This can be performed by first identifying the cell types in all the subjects and then by performing a DS analysis between the conditions within each cell type…”
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Benchmarking by Peter Roberts

“…The assessment of a particular position by comparative reference to an analogue position…”
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Dyport: dynamic importance-based biomedical hypothesis generation benchmarking technique by Tyagin, Ilya, Safro, Ilya

“… Results This paper presents a novel benchmarking framework Dyport for evaluating biomedical hypothesis generation systems…”
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Benchmarking functional connectome-based predictive models for resting-state fMRI by Dadi, Kamalaker, Rahim, Mehdi, Abraham, Alexandre, Chyzhyk, Darya, Milham, Michael, Thirion, Bertrand, Varoquaux, Gaël

“…Functional connectomes reveal biomarkers of individual psychological or clinical traits. However, there is great variability in the analytic pipelines…”
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MOABB: trustworthy algorithm benchmarking for BCIs by Jayaram, Vinay, Barachant, Alexandre

“…Objective. Brain-computer interface (BCI) algorithm development has long been hampered by two major issues: small sample sets and a lack of reproducibility. We…”
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Risk Evaluation in Occupational Safety and Health Research: Results From a Benchmarking Exercise of Federal and Academic IRBs by Felknor, Sarah A, Streit, Jessica M K, Morley, Angela M, Piacentino, John D

“… The purpose of this benchmarking project was to assess how federal agencies and academic institutions approach the interpretation and application of key risk evaluation concepts in research involving…”
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Benchmarking AutoML frameworks for disease prediction using medical claims by A. Romero, Roland Albert, Y. Deypalan, Mariefel Nicole, Mehrotra, Suchit, Jungao, John Titus, Sheils, Natalie E., Manduchi, Elisabetta, Moore, Jason H.

“…Objectives Ascertain and compare the performances of Automated Machine Learning (AutoML) tools on large, highly imbalanced healthcare datasets. Materials and…”
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PEPbench—Open, Reproducible, and Systematic Benchmarking of Automated Pre‐Ejection Period Extraction Algorithms by Richer, Robert, Jorkowitz, Julia, Stühler, Sebastian, Abel, Luca, Kurz, Miriam, Oesten, Marie, Griesshammer, Stefan G., Albrecht, Nils C., Küderle, Arne, Ostgathe, Christoph, Kölpin, Alexander, Steigleder, Tobias, Rohleder, Nicolas, Eskofier, Bjoern M.

“…‐subject comparisons under similar hemodynamic conditions. While many algorithms for automated PEP extraction from electrocardiography (ECG…”
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A Comprehensive Database for Benchmarking Imaging Systems by Panetta, Karen, Wan, Qianwen, Agaian, Sos, Rajeev, Srijith, Kamath, Shreyas, Rajendran, Rahul, Rao, Shishir Paramathma, Kaszowska, Aleksandra, Taylor, Holly A., Samani, Arash, Yuan, Xin

“… However, currently, there is no publicly available face database that includes more than two modalities for the same subject…”
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Benchmarking network propagation methods for disease gene identification by Picart-Armada, Sergio, Barrett, Steven J., Willé, David R., Perera-Lluna, Alexandre, Gutteridge, Alex, Dessailly, Benoit H.

“…In-silico identification of potential target genes for disease is an essential aspect of drug target discovery. Recent studies suggest that successful targets…”
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SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation by de Franca, F. O., Virgolin, M., Kommenda, M., Majumder, M. S., Cranmer, M., Espada, G., Ingelse, L., Fonseca, A., Landajuela, M., Petersen, B., Glatt, R., Mundhenk, N., Lee, C. S., Hochhalter, J. D., Randall, D. L., Kamienny, P., Zhang, H., Dick, G., Simon, A., Burlacu, B., Kasak, Jaan, Machado, Meera, Wilstrup, Casper, Cava, W. G. La

“… The current standard for benchmarking these algorithms is SRBench, which evaluates methods on hundreds of datasets that are a mix of real-world and simulated processes spanning multiple domains…”
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A pharmaceutical industry survey results on the cycle time, drivers and enablers, for key deliverables in the early phase of drug product development from dose limiting toxicity to first subject first dose: The survey conducted by the IQ cycle time benchmarking working group by Campbell, Gossett A., Barrett, Stephanie E., Thakral, Seema, Lowinger, Michael, Faassen, Fried, Vander Kamp, Kirk A., Wagner, Daniel, Bargmann-Leyder, Nathalie, Badawy, Sherif, Gaebele, Tracy, Snyder, Phillip

“…This paper presents a comprehensive benchmarking analysis of cycle times from Dose Limiting Toxicity (DLT…”
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Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition by Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.

“…Traffic signs are characterized by a wide variability in their visual appearance in real-world environments. For example, changes of illumination, varying…”
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Finding “similar” universities using ChatGPT for institutional benchmarking: A large‐scale comparison of European universities by Lepori, Benedetto, Bornmann, Lutz, Gay, Mario

“…The study objective was to evaluate the efficacy of ChatGPT in identifying “similar” institutions for benchmarking the research performance of a university…”
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Uncovering fine-grained research excellence: The global research benchmarking system by Haddawy, Peter, Hassan, Saeed-Ul, Abbey, Craig W., Lee, Inn Beng

“…•To support strategic decision making, universities require research benchmarking data that is sufficiently fine-grained to show variation among specific research areas and identify focused areas of excellence…”
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Benchmarking brain–computer interface algorithms: Riemannian approaches vs convolutional neural networks by Eder, Manuel, Xu, Jiachen, Grosse-Wentrup, Moritz

“… processing pipelines. This evaluation included within-session, cross-session, and cross-subject methods, to provide a practical analysis of model effectiveness and to find an overall solution that performs well across…”
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Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking by Raja, Kiran, Ferrara, Matteo, Franco, Annalisa, Spreeuwers, Luuk, Batskos, Ilias, de Wit, Florens, Gomez-Barrero, Marta, Scherhag, Ulrich, Fischer, Daniel, Venkatesh, Sushma Krupa, Singh, Jag Mohan, Li, Guoqiang, Bergeron, Loic, Isadskiy, Sergey, Ramachandra, Raghavendra, Rathgeb, Christian, Frings, Dinusha, Seidel, Uwe, Knopjes, Fons, Veldhuis, Raymond, Maltoni, Davide, Busch, Christoph

“… issues such as independent benchmarking, generalizability challenges and considerations to age, gender, ethnicity…”
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International benchmarking in type 1 diabetes: Large difference in childhood HbA1c between eight high‐income countries but similar rise during adolescence—A quality registry study by Anderzén, Johan, Hermann, Julia M., Samuelsson, Ulf, Charalampopoulos, Dimitrios, Svensson, Jannet, Skrivarhaug, Torild, Fröhlich‐Reiterer, Elke, Maahs, David M., Akesson, Karin, Kapellen, Thomas, Fritsch, Maria, Birkebæk, Niels H., Drivvoll, Ann K., Miller, Kellee, Stephenson, Terence, Hofer, Sabine E., Fredheim, Siri, Kummernes, Siv J., Foster, Nicole, Amin, Rakesh, Hilgard, Dörte, Rami‐Merhar, Birgit, Dahl‐Jørgensen, Knut, Clements, Mark, Hanas, Ragnar, Holl, Reinhard W., Warner, Justin T.

“…Objectives To identify differences and similarities in HbA1c levels and patterns regarding age and gender in eight high‐income countries. Subjects 66…”
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Benchmarking hall-induced magnetoacoustic to Alfvén mode conversion in the solar chromosphere by Raboonik, Axel, Cally, Paul S

“… It is found that only the magnetic component of wave energy is subject to Hall-mediated conversions…”
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LidarGait: Benchmarking 3D Gait Recognition with Point Clouds by Shen, Chuanfu, Chao, Fan, Wu, Wei, Wang, Rui, Huang, George Q., Yu, Shiqi

“… The dataset contains 25,239 sequences from 1,050 subjects and covers many variations…”
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