Data and codes for the paper "Machine-Learning-Enabled Spatial Pattern Mining: Evaluating the Impact of Imperfect Inputs". حسب Zhili Li (18836803)

Entry Point byte frequency حسب Paul A. Gagniuc (1818325)

الموضوعات: "…Data structures and algorithms…"

Positive predictive value (PPV, %) by survival time following first seizure code. حسب André Idegård (22041446)

الموضوعات:

Code and data. حسب Crispin H. V. Cooper (21484906)

"…We publish both data and analysis code as supplementary material.</p></div>…"

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

"…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …"

Antivirus Engines (PowerPoint) حسب Paul A. Gagniuc (1818325)

الموضوعات:

LAMBDA: A Large Model Based Data Agent حسب Sun Maojun (21464946)

"…Specifically, the programmer generates code based on the user’s instructions and domain-specific knowledge, while the inspector debugs the code when necessary. …"

Evolutionary analysis of the <i>Strumpellin</i> coding sequences by Maximum Likelihood method. حسب Yusr Saadi-Ben Aoun (20469385)

Positive predictive values (PPVs) of the register-based algorithms to identify individuals with poststroke epilepsy (PSE). All algorithms required (i) a diagnostic code for stroke... حسب André Idegård (22041446)

الموضوعات:

Design of HRM PCR primers targeting the <i>Strumpellin</i> protein coding sequence. حسب Yusr Saadi-Ben Aoun (20469385)

MATLAB Code and Example Data for Fast and Accurate Phase Unwrapping of Complex Phase Maps حسب Davood Khodadad (20827802)

الموضوعات:

Supporting data for “Construction of Second Harmonic Generation Frequency-resolved Optical Gating” حسب Hongyuan Zou (16619460)

"…The reconstructed_trace.m is the data that is generated by Matlab code. Through PCGPA algorithm, taking measured_FROG_trace.xlsx as input, reconstructed_trace.m is generated as output of the code. …"

Training results under different parameters. حسب Yang Zhang (30734)

الموضوعات:

IoU measures the overlap between predicted bounding boxes and ground truth boxes. حسب Yang Zhang (30734)

الموضوعات:

The patchwise contrastive learning method based on PatchNCE loss. حسب Yang Zhang (30734)

الموضوعات:

The network framework of the proposed model. حسب Yang Zhang (30734)

الموضوعات:

The confusion matrix of our model in the hazed COCO2017 dataset. حسب Yang Zhang (30734)

الموضوعات:

The efficient multi-scale attention. حسب Yang Zhang (30734)

الموضوعات:

The improved network diagram of YOLOv9s. حسب Yang Zhang (30734)

الموضوعات:

Preprocessed Spatial Dynamic Wind Power Forecasting (SDWPF) Dataset from Baidu KDD Cup 2022 Challenge حسب Yuan Shi (22779782)