Accuracy of fast registration. by Radek Ošlejšek (21982892)

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Comparison of distance heatmaps. by Radek Ošlejšek (21982892)

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Registration and distance measurement of two faces. by Radek Ošlejšek (21982892)

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Comparative Performance Metrics of AESs. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

Score Distributions by Rater. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

Descriptive Statistics for Human Raters and AESs. by Tianhui Chen (3044838)

“…Results revealed that two systems demonstrated strong agreement with human ratings, while the third exhibited systematic score inflation, likely due to algorithmic discrepancies and limited consideration of nuanced language features. …”

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. …”

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)

The simulation of OSCNN involves loading data from a laser and SLM and simulating different optical free space components. by Reyhane Ahmadi (14857363)

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Different implementations on MNIST object detection accuracy (%) with input image size. by Reyhane Ahmadi (14857363)

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Outline of OSCNN. by Reyhane Ahmadi (14857363)

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Gabor filters are created as sine wave filters in four different directions, namely 0, <i>π</i>/2, <i>π</i>, and 3<i>π</i>/4 degrees. by Reyhane Ahmadi (14857363)

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OSCNN accuracy with different feature extractors. by Reyhane Ahmadi (14857363)

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Breaking Electrode Placement Constraints in Brain-Computer Interfaces: A Cross-Brain Neural Signal Reconstruction-Decoding Approach by Wenqiang Yan (20950745)

DataSheet1_Fast and precise dose estimation for very high energy electron radiotherapy with graph neural networks.PDF by Lorenzo Arsini (15083796)

How do drones fit into multimodal sensing networks? by Jenna Kline (22316425)

<b>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance)</b> by Oleksandr Zhovnirovych (22501424)

Table 1_WCSGNet: a graph neural network approach using weighted cell-specific networks for cell-type annotation in scRNA-seq.xlsx by Yi-Ran Wang (5938265)

“…We introduce WCSGNet, a graph neural network-based algorithm for automatic cell-type annotation that leverages Weighted Cell-Specific Networks (WCSNs). …”