Algorithm parameter setting. by Tianrui Zhang (2294542)

Subjects:

Algorithm parameter setting. by Tianrui Zhang (2294542)

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Membership function of each target. by Tianrui Zhang (2294542)

Subjects:

Convergence curve of each test function. by Tianrui Zhang (2294542)

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WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…The panel shows representative outputs of these algorithms for <i>N</i> = 3 metabolites and for the number of groups indicated at the top. …”

Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. by Mohammed Ali Alshehri (11707406)

Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

“…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…Finally, we build an explicitly multimodal multiplex graph that combines both structural and functional connectivity in a single model, and we identify the topological scales where resting state functional connectivity and underlying structural connectivity show similar <i>versus</i> unique hierarchical community architecture. …”

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

Wav2DDK: An automated DDK estimation algorithm (Kadambi et al., 2023) by Prad Kadambi (16680635)

“…Estimated rates achieve a high test-retest reliability (<em>r</em> = .95) and show good correlation with the revised ALS functional rating scale speech subscore (<em>r </em>= .67).…”

Flowchart of the study design, where we can see the camera acquisition, the expert observing the subjects, and the process till the final system outcome classification. by Jindřich Adolf (17334216)

Subjects:

Partner identification for proteins where the predicted and experimental interfaces do not match (F1-score < 0.2). by Chloé Dequeker (4966165)

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics by Rama K. Vasudevan (1612174)

“…The optimized algorithm is then deployed on an operational scanning probe microscope (SPM) for finding areas of large electromechanical response in a thin film of PbTiO₃, with results showing that, with just 20% of the area sampled, most high-response clusters were captured. …”

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”

Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. by Pablo Rodríguez-Sánchez (6711683)

“…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…”