The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

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The structure of the data sample. by Wenbing Shi (5806160)

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The genome recombination of neuroevolution. by Wenbing Shi (5806160)

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The principle of sample data augmentation. by Wenbing Shi (5806160)

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The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

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The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

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Data and R code related to the submitted manuscrit entitled "In situ imagery unravels resources exploitation strategies among ant communities in a tropical agrosystem" by Dominique Carval (20964191)

Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring by Alison Gerken (17362585)

Monotone Cubic B-Splines with a Neural-Network Generator by Lijun Wang (176511)

Attributes classification based on MSD. by Tamer Abdel Latif Ali (21464041)

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis by Alan Glanz (22109698)

“…<h2><b>Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis</b></h2><p dir="ltr"><b>© 2025 Alan J. …”

Code for MR-based diagnosis of PCNSL by Paul Naser (17776497)

<b>Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for </b><b><i>Mycobacterium tuberculosis </i></b><b>variant</b><b><i> bovis </... by Buu Minh Tran (19530787)

“…This study used microfluidic chips, microscopy, and deep neural network algorithms to monitor the growth of <i>Mycobacterium bovis</i> Bacillus Calmette–Guérin (BCG) and <i>Mycobacterium smegmatis</i> in the presence of antibiotics. …”

<b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b> by yuan sun (20399105)

Research data for paper "Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks" by Thomas Nowotny (4462033)

“…<p dir="ltr">The data in this repository was generated in the context of training spiking neural networks for keyword recognition using the Eventprop algorithm. …”

Schematic representation of the friendship-based approach to synthetic contacts generation. by Lucille Calmon (20405053)

“…These lists are specific for each class and pair of classes, and each base day. (C) Description of the different steps of the algorithm. …”

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf by Matthew Yedutenko (5142461)

“…However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> by BRISC Dataset (22559540)