☆ 4.5 Article

An Aggregated Convolutional Transformer Based on Slices and Channels for Multivariate Time Series Classification

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Automation & Control Systems

Temporal Attention Convolutional Neural Network for Estimation of Icing Probability on Wind Turbine Blades

Xu Cheng et al.

Summary: This article addresses the issue of blade icing in wind farms and proposes a novel data-driven model, TACNN, which incorporates a temporal attention module to automatically identify discriminative features for accurate estimation. The TACNN shows competitive performance in benchmark experiments and significant advantages in real-world datasets.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

添加到收藏夹

Article Mechanics

ConViT: improving vision transformers with soft convolutional inductive biases

Stephane d'Ascoli et al.

Summary: In this paper, a new architecture called ConViT is introduced, which combines the advantages of convolutional networks and self-attention mechanisms, achieving better performance and sample efficiency in image classification tasks. The role of locality in learning is also investigated, and various ablations are performed to better understand the success of ConViT.

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2022)

添加到收藏夹

Article Economics

Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

Bryan Lim et al.

Summary: This paper introduces the Temporal Fusion Transformer (TFT), a novel attention-based architecture that combines high-performance multi-horizon forecasting with interpretable insights into temporal dynamics. TFT utilizes recurrent layers for local processing and interpretable self-attention layers for long-term dependencies, achieving high performance in a wide range of scenarios. By selecting relevant features and suppressing unnecessary components, TFT demonstrates significant performance improvements over existing benchmarks on various real-world datasets.

INTERNATIONAL JOURNAL OF FORECASTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Angus Dempster et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

InceptionTime: Finding AlexNet for time series classification

Hassan Ismail Fawaz et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2020)

添加到收藏夹

Proceedings Paper Biochemical Research Methods

SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification

Haozhen Zhang et al.

2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (2020)

添加到收藏夹

Article Geography

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

Ling Cai et al.

TRANSACTIONS IN GIS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multivariate LSTM-FCNs for time series classification

Fazle Karim et al.

NEURAL NETWORKS (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation

Xu Cheng et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model

Wenjie Pei et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

添加到收藏夹

Article Computer Science, Information Systems

LSTM Fully Convolutional Networks for Time Series Classification

Fazle Karim et al.

IEEE ACCESS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Accurate and efficient classification based on common principal components analysis for multivariate time series

Hailin Li

NEUROCOMPUTING (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Learning a symbolic representation for multivariate time series classification

Mustafa Gokce Baydogan et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification

C. Orsenigo et al.

PATTERN RECOGNITION (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Experiencing SAX: a novel symbolic representation of time series

Jessica Lin et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2007)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.