Suchergebnisse - "Open source Python library"

AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation von Aumente-Maestro, Carlos, Müller, Michael, Remeseiro, Beatriz, Díez, Jorge, Reyes, Mauricio

“… To address these limitations, this study introduces AUDIT, an open-source Python library designed to enhance the evaluation of segmentation models and the analysis of MRI datasets …”
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An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model von Raney, Austin, Maghami, Iman, Feng, Yenchia, Mandli, Kyle, Cohen, Sagy, Goodall, Jonathan

“… The NWM predicts streamflow at more than 2.7 million river reaches; and is a subject of growing attention in the hydrological modeling community. Large …”
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DN3: An open-source Python library for large-scale raw neurophysiology data assimilation for more flexible and standardized deep learning von Demetres Kostas, Rudzicz, Frank

“… Abstract We propose an open-source Python library, called DN3, designed to accelerate deep learning (DL …”
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Estimating Free-Energy Surfaces and Their Convergence from Multiple, Independent Static and History-Dependent Biased Molecular-Dynamics Simulations with Mean Force Integration von Bjola, Antoniu, Salvalaglio, Matteo

“… simulations subject to diverse biasing protocols, including static biases, different variants of metadynamics, and various combinations of static …”
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System architecture optimization strategies: dealing with expensive hierarchical problems von Bussemaker, Jasper H, Saves, Paul, Bartoli, Nathalie, Lefebvre, Thierry, Lafage, Rémi

“… : expensive, black-box, hierarchical, mixed-discrete, constrained, multi-objective problems that may be subject to hidden constraints …”
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Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models von Hamdan, Sami, More, Shammi, Sasse, Leonard, Komeyer, Vera, Patil, Kaustubh R., Raimondo, Federico

“… Here, we created julearn, an open-source Python library allowing researchers to design and evaluate complex ML pipelines without encountering common pitfalls …”
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Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study von Graham, Shawn, Yates, Donna, El-Roby, Ahmed

“… Background: There is a wide variety of potential sources from which insight into the antiquities trade could be culled, from newspaper articles to auction …”
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Rhodium-SWMM: An open-source tool for green infrastructure placement under deep uncertainty von Tebyanian, Nastaran, Fischbach, Jordan, Lempert, Robert, Knopman, Debra, Wu, Hong, Iulo, Lisa, Keller, Klaus

“… Thus far, MORDM has been used sparsely for GI planning. To help mainstream MORDM applications in GI planning, we developed an open-source Python library: Rhodium-SWMM …”
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Open Software/Hardware Platform for Human-Computer Interface Based on Electrooculography (EOG) Signal Classification von Martínez-Cerveró, Jayro, Ardali, Majid Khalili, Jaramillo-Gonzalez, Andres, Wu, Shizhe, Tonin, Alessandro, Birbaumer, Niels, Chaudhary, Ujwal

“… The system is based on open source ecosystems, the Raspberry Pi single-board computer, the OpenBCI biosignal acquisition device, and an open-source python library …”
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Numerical Study of Low Rank Approximation Methods for Mechanics Data and Its Analysis von Lestandi, Lucas

“… This paper proposes a comparison of the numerical aspect and efficiency of several low rank approximation techniques for multidimensional data, namely CPD, …”
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Quantifying Uncertainty in Downscaling of Seismic Data to High-Resolution 3-D Lithological Models von Yin, Zhen, Amaru, Maisha, Wang, Yizheng, Li, Lewis, Caers, Jef

“… Building high-resolution lithological models using seismic data can facilitate decision-makings for earth resources development, but they are subject to considerable uncertainties due to the limited seismic resolution …”
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Assessing EEG sleep spindle propagation. Part 1: Theory and proposed methodology von O’Reilly, Christian, Nielsen, Tore

“… •Implementation is available as an open source Python library entitled Spyndle.•Patterns of observed propagation are repeatable across subjects …”
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Learning SciPy for Numerical and Scientific Computing - Second Edition von G., Sergio J. Rojas, Christensen, Erik A, Blanco-Silva, Francisco J

“… SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful …”
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SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography von Federico Del Pup, Zanola, Andrea, Louis, Fabrice Tshimanga, Mazzon, Paolo Emilio, Atzori, Manfredo

“… SelfEEG is an open-source Python library developed to assist researchers in conducting Self-Supervised Learning (SSL …”
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Estimating Free Energy Surfaces and their Convergence from multiple, independent static and history-dependent biased molecular-dynamics simulations with Mean Force\nIntegration

“… asynchronous, independentsimulations subject to diverse biasing protocols, including static biases, different variants of metadynamics,and various combinations of static and history …”
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Machine learning-driven identification of key risk factors for predicting depression among nurses von Qi, Xiaoyan, Huang, Xin

“… The research subjects were divided into a depression group and a non …”
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ChartSweep: A HIPAA-compliant Tool to Automate Chart Review for Plastic Surgery Research von Chartier, Christian, Gfrerer, Lisa, Austen, William G.

“… As proof-of-concept, the tool was tested in three studies: RCR1-Identification of subjects who underwent radiofrequency ablation in a cohort of patients who had undergone …”
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ChartSweep: A HIPAA-compliant Tool to Automate Chart Review for Plastic Surgery Research von Chartier, Christian, Gfrerer, Lisa, Austen, William G.

“… As proof-of-concept, the tool was tested in three studies: RCR1-Identification of subjects who underwent radiofrequency ablation in a cohort of patients who had undergone …”
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Introducción a la Clasificación de Neuroseñales utilizando Técnicas Clásicas y Modernas de Machine Learning en Google Colaboratory [Not available in English] von Ferrin-Bolanos, Carlos, Valero-Echeverri, Laura, Loaiza-Correa, Humberto, Mosquera-DeLaCruz, Jose, Velez-Angel, Paulo

“… With the growth of capabilities of and accessibility to cloud computing platforms, few research fields based on computer science have benefited as these …”
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