Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

الموضوعات:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. حسب Abeer Aljohani (18497914)

الموضوعات:

Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

"…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"

Fitting of cumulative number of cases in a pre-lockdown period. حسب Wang Xiang (5435141)

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations حسب John-Luke Navarro (9024008)

Pre-trained protein language model. حسب Youzhi Zhang (728859)

"…This paper proposes a novel idea that develops a pre-trained protein sequence embedding model combined with a one-dimensional convolutional neural network, called Embed-1dCNN, to predict protein hotspot residues. …"

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …"

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"

Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. حسب Abeer Aljohani (18497914)

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Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

Comparison of optimization performance of six ABC algorithms. حسب Shuhui Yu (1535500)

Friedman test average rankings of IFOX and competing optimization algorithms across CL, C17, C19, C21, C22, and RWPs. The “Position” column indicates the overall rank based on the... حسب Mahmood A. Jumaah (22272371)

Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model. حسب Xiaojun Wang (50332)

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

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DataSheet_1_CL-PMI: A Precursor MicroRNA Identification Method Based on Convolutional and Long Short-Term Memory Networks.pdf حسب Huiqing Wang (1370457)

"…In order to overcome the limitations of existing methods, we propose a pre-miRNA identification algorithm based on a cascaded CNN-LSTM framework, called CL-PMI. …"

Python implementation from Symplectic decomposition from submatrix determinants حسب Jason L. Pereira (11598632)

"…Python implementation of the algorithm and demonstration of how to use the functions.…"

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب Daniel Pérez Palau (11097348)

"…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …"

Algorithm process of BPNN. حسب Xiaoxiang Cao (12644851)

GraSPy: an Open Source Python Package for Statistical Connectomics حسب Benjamin Pedigo (6580352)

"…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …"