Search Results - "Python implementation"

The effect of subject measurement error on joint kinematics in the conventional gait model: Insights from the open-source pyCGM tool using high performance computing methods by Schwartz, Mathew, Dixon, Philippe C.

“… This paper introduces a Python implementation for the CGM, referred to as pyCGM, which is an open-source, easily modifiable, cross platform, and high performance…”
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Gene count estimation with pytximport enables reproducible analysis of bulk RNA sequencing data in Python by Kuehl, Malte, Wong, Milagros N, Wanner, Nicola, Bonn, Stefan, Puelles, Victor G

“… Here we present pytximport, a Python implementation of the tximport R package that supports a variety of input formats, different modes of bias correction, inferential replicates, gene-level…”
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FOWD: A Free Ocean Wave Dataset for Data Mining and Machine Learning by Häfner, Dion, Gemmrich, Johannes, Jochum, Markus

“…The occurrence of extreme (rogue) waves in the ocean is for the most part still shrouded in mystery, as the rare nature of these events makes them difficult to…”
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Infinite-Horizon Optimal Control of Switched Boolean Control Networks With Average Cost: An Efficient Graph-Theoretical Approach by Gao, Shuhua, Sun, Changkai, Xiang, Cheng, Qin, Kairong, Lee, Tong Heng

“… state transition between states reachable from a given initial state subject to various constraints…”
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SISMIK for Brain MRI: Deep-Learning-Based Motion Estimation and Model-Based Motion Correction in k-Space by Dabrowski, Oscar, Falcone, Jean-Luc, Klauser, Antoine, Songeon, Julien, Kocher, Michel, Chopard, Bastien, Lazeyras, Francois, Courvoisier, Sebastien

“…MRI, a widespread non-invasive medical imaging modality, is highly sensitive to patient motion. Despite many attempts over the years, motion correction remains…”
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Significant subgraph mining for neural network inference with multiple comparisons correction by Gutknecht, Aaron J., Wibral, Michael

“… them. We provide an extension of the method to dependent graph generating processes as they occur, for example, in within-subject experimental designs…”
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Automated detection of cerebral microbleeds on MR images using knowledge distillation framework by Sundaresan, Vaanathi, Arthofer, Christoph, Zamboni, Giovanna, Murchison, Andrew G., Dineen, Robert A., Rothwell, Peter M., Auer, Dorothee P., Wang, Chaoyue, Miller, Karla L., Tendler, Benjamin C., Alfaro-Almagro, Fidel, Sotiropoulos, Stamatios N., Sprigg, Nikola, Griffanti, Ludovica, Jenkinson, Mark

“…Cerebral microbleeds (CMBs) are associated with white matter damage, and various neurodegenerative and cerebrovascular diseases. CMBs occur as small, circular…”
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Open source variational quantum eigensolver extension of the quantum learning machine for quantum chemistry by Haidar, Mohammad, Rančić, Marko J., Ayral, Thomas, Maday, Yvon, Piquemal, Jean‐Philip

“… However, present quantum processing units (QPUs) are still subject to large errors. Therefore, noisy intermediate‐scale quantum (NISQ…”
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A general spectral method for the numerical simulation of one-dimensional interacting fermions by Clason, Christian, von Winckel, Gregory

“… to achieve optimal run-time complexity. This program allows the accurate discretization of systems with multiple fermions subject to arbitrary potentials, e.g…”
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Finance journal rankings: a paper affiliation methodology by Docampo, Domingo, Safón, Vicente

“… This methodology is not subject-dependent and thus can be transferred to other realms of knowledge…”
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What possibly affects nighttime heart rate? Conclusions from N-of-1 observational data by Matias, Igor, Daza, Eric J., Wac, Katarzyna

“… individual-specific). A single-case or “n-of-1” observational study (N1OS) is useful in exploring such suggested effects by examining each subject's exposure…”
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A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization by Keskar, N., Wächter, A.

“…We consider the problem of minimizing a continuous function that may be non-smooth and non-convex, subject to bound constraints…”
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Interactive segmentation of white-matter fibers using a multi-subject atlas by Labra, Nicole, Figueroa, Miguel, Guevara, Pamela, Duclap, Delphine, Houenou, Josselin, Poupon, Cyril, Mangin, Jean-Francois

“… Our sequential implementation runs 270 times faster than a C++/Python implementation of a previous algorithm based on the same segmentation method, and 21 times faster than a highly optimized C version of the same previous algorithm…”
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SISMIK for brain MRI: Deep-learning-based motion estimation and model-based motion correction in k-space by Dabrowski, Oscar, Falcone, Jean-Luc, Klauser, Antoine, Songeon, Julien, Kocher, Michel, Chopard, Bastien, Lazeyras, François, Courvoisier, Sébastien

“…MRI, a widespread non-invasive medical imaging modality, is highly sensitive to patient motion. Despite many attempts over the years, motion correction remains…”
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Semi-Automated Spectral Type Classification of Supernovae, Applied to Hydrogen-Rich Interacting Supernova Spectra by Baer, Michael J

“… to a researcher’s subjective interpretations of a given fitting algorithm’s output. As such, the method is subject to bias and inconsistency in numerical methods. Quimby et al. (2018…”
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Canvas: A fast and accurate geometric sentence alignment system using lexical cues within complex misalignment settings by Ghaly, Hussein

“…In this paper, we present a new sentence alignment system (Canvas), which is a Python implementation of a geometric approach to sentence alignment, based on lexical cues…”
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Rapid Synthesis of Massive Face Sets for Improved Face Recognition by Masi, Iacopo, Hassner, Tal, Tran, Anh Tuan, Medioni, Gerard

“…; at test time, rendering can quickly become a bottleneck, particularly when multiple images represent a subject…”
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Second-Order Methods for Stochastic and Nonsmooth Optimization by Keskar, Nitish Shirish

“…The goal of this thesis is to design practical algorithms for nonlinear optimization in the case when the objective function is stochastic or nonsmooth. The…”
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Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology by Lam, Ka Chun, Mahony, Bridget W, Raznahan, Armin, Pereira, Francisco

“… them. While factor analysis is the traditional tool for this purpose, the resulting factors may not be interpretable, and may also be subject to confounding variables…”
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A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets by Shi, Chengchun, Wan, Runzhe, Song, Ge, Luo, Shikai, Song, Rui, Zhu, Hongtu

“…The two-sided markets such as ride-sharing companies often involve a group of subjects who are making sequential decisions across time and/or location…”
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