Minimal data set definition. حسب Hui Yang (91136)

الموضوعات:

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. حسب Soraya Khanmohmmadi (21539953)

Implementation of TIPC, a computational method utilizing hexagonal tessellation and a classifier that evaluates multiple spatial parameters against a tumor region-specific null mod... حسب Mai Chan Lau (3135303)

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home حسب Ying Zhang (40767)

Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home حسب Ying Zhang (40767)

Performance comparison of different algorithms based on five indicators. حسب Yunyun Dong (6936965)

Experimental steps of modulation pattern recognition method based on IABLN algorithm. حسب Ting Xie (191025)

The studies using plain radiographs and deep-learning algorithm for screening. حسب Jung-Wee Park (10689240)

الموضوعات:

Guide to selecting data augmentation techniques for sentiment analysis. حسب Rodrigo Gutiérrez Benítez (19746443)

الموضوعات:

Guide to selecting data augmentation techniques for emotion analysis. حسب Rodrigo Gutiérrez Benítez (19746443)

الموضوعات:

AUC score comparison table for all the deep learning algorithms. حسب Khandaker Mohammad Mohi Uddin (13124356)

Reinforcement learning process based on overflow prediction. حسب Yulin Tian (1457986)

الموضوعات:

Comparison of Traffic Accident Risk Prediction Models Based on Different Algorithms. حسب Hao Li (31608)

RF Algorithm Principles. حسب Zhiheng Zhang (9347282)

الموضوعات:

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Depiction of how predictions are made from the output embeddings. The largest encoded multi-scale feature map is resized and combined with the original multi-scale features to form... حسب Owen M. O’Connor (11965460)

الموضوعات:

Schematic diagram of the pillar encoding. حسب Xinpeng Yao (18882573)

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms حسب Fengjuan Wang (768949)

Dataset from ES-C51: Expected Sarsa Based C51 Distributional Reinforcement Learning Algorithm حسب Rijul Tandon (22431989)

"…<p dir="ltr">This dataset contains the results of experiments comparing the performance of the standard Q-learning based distributional deep reinforcement learning algorithm QL-C51, and a novel variant which uses Expected-Sarsa temporal difference updates (ES-C51). …"

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc حسب Huayan Zuo (22308277)

"…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…"