从心血管时间序列提取中检测CABG手术后不良结果的机器学习方法。与米兰大学复杂系统建模实验室合作，在达姆施塔特工业大学发表硕士论文。
Machine learning approach to detect adverse outcomes after CABG surgery derived from cardiovascular time series extraction. Master Thesis at TU Darmstadt in cooperation with the Laboratory of Complex Systems Modeling, University of Milan. (2024-08-07, Python, 0KB, 下载0次)
这是DSTS模型（时间序列能量使用数据的双结构数据合成）的官方python实现
This is the official python implementation of DSTS model (Doubly Structured Data Synthesis for Time-series Energy Use Data) (2024-07-24, Python, 0KB, 下载0次)
KDD 24“通过双域匹配进行时间序列分类的数据集凝聚”的代码
Code for KDD 24 "Dataset Condensation for Time Series Classification via Dual Domain Matching" (2024-05-17, Python, 0KB, 下载0次)
这是UFPR学生与埃克森美孚合作开发的项目的一部分。本项目旨在预测时间序列值...
This is part of a project being developed by UFPR students in partnership with Exxon Mobil. This project aims to forecast time-series values, in special, base-oils. For this we ve made an exploratory analisys of the series and pre-processed the data to fit classics statistical models like ARIMA and Exponential Smoothing. (2023-11-16, Python, 0KB, 下载0次)
使用高斯过程回归对2019年南科塔巴托土建工程滑移的时间序列预测，
Time Series Forecast of South Cotabato Civil Work Slippage 2019 using Gaussian Process Regression, (2023-09-19, Python, 0KB, 下载0次)
在这个合作项目中，我们构建了一个交易机器人，它分析单个时间序列的加密货币价格，以确定最优的合作伙伴...，
In this collaborative project we build a trading bot, which analysis a single timeseries of crypto currency prices to identify optimal conditions for entry and exit trades in real-time. (2021-01-03, Python, 0KB, 下载0次)
现代面部运动捕获系统采用双管齐下的方法来捕获和渲染面部运动。视觉...
Modern facial motion capture systems employ a two-pronged approach for capturing and rendering facial motion. Visual data (2D) is used for tracking the facial features and predicting facial expression, whereas Depth (3D) data is used to build a series of expressions on a 3D face models. An issue with modern research approaches is the use of a (2018-11-01, Python, 6KB, 下载0次)
A-双阶段-注意力-基于递归的神经网络-时间序列预测，，
A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction,, (2019-12-26, Python, 6925KB, 下载2次)
一种用于时间序列预测的基于双阶段注意的递归神经网络
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2023-02-13, Python, 56345KB, 下载0次)
用于生成高斯（1f）**贝塔噪声（例如粉红色噪声）的Python包
Python package to generate Gaussian (1 f)**beta noise (e.g. pink noise) (2023-01-29, Python, 8KB, 下载0次)
CIKM 2019论文“DSANet：多元时间序列预测的双自注意网络”的代码。
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting". (2022-06-21, Python, 728KB, 下载2次)