Cover Image

An Objective Performance Evaluation of the LSTM Networks in Time Series Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sunil, Sooraj, Balasingam, Balakumar
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Improved Approach to Estimate the Internal Resistance of a Battery During the HPPC Test
by: Pillai, Prarthana, et al.
Published: (2025)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)

BiLSTM and Attention-Based Modulation Classification of Realistic Wireless Signals
by: Udaiwal, Rohit, et al.
Published: (2024)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
by: Dissanayake, Oshana, et al.
Published: (2024)

A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition
by: Liu, Jianyu, et al.
Published: (2024)

Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series
by: Pan, Qilong
Published: (2022)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)

A Network Science Approach to Granular Time Series Segmentation
by: Kesić, Ivana, et al.
Published: (2025)

Short-Term Regional Electricity Demand Forecasting in Argentina Using LSTM Networks
by: Oviedo, Oscar A.
Published: (2025)

A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modeling
by: Guo, Keying, et al.
Published: (2025)

LSTM-based Flow Prediction
by: Wang, Hongzhi, et al.
Published: (2019)

Time-Distributed Feature Learning for Internet of Things Network Traffic Classification
by: Manjunath, Yoga Suhas Kuruba, et al.
Published: (2024)

Deep Neural Network Architectures for Electrocardiogram Classification: A Comprehensive Evaluation
by: Song, Yun, et al.
Published: (2026)

Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin
by: Neto, Joao Carmo de Almeida, et al.
Published: (2025)

MedMamba: Recasting Mamba for Medical Time Series Classification
by: He, ZhengXiao, et al.
Published: (2026)

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
by: Nakano, Hiroshi, et al.
Published: (2025)

Time Weaver: A Conditional Time Series Generation Model
by: Narasimhan, Sai Shankar, et al.
Published: (2024)

Convolutional Fourier Analysis Network (CFAN): A Unified Time-Frequency Approach for ECG Classification
by: Jeong, Sam, et al.
Published: (2025)

Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
by: Chung, Hyunseung, et al.
Published: (2024)

Conformal Inference for Time Series over Graphs
by: Dua, Sonakshi, et al.
Published: (2025)

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
by: Tazaki, Rina, et al.
Published: (2025)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
by: Wang, Yihe, et al.
Published: (2024)

STL-FFT-STFT-TCN-LSTM: An Effective Wave Height High Accuracy Prediction Model Fusing Time-Frequency Domain Features
by: Liu, Huipeng, et al.
Published: (2025)

mtslearn: Machine Learning in Python for Medical Time Series
by: Jiang, Zhongheng, et al.
Published: (2026)

An Unsupervised Approach for Periodic Source Detection in Time Series
by: Demirel, Berken Utku, et al.
Published: (2024)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
by: Vaca-Rubio, Cristian J., et al.
Published: (2024)

Wideband Power Amplifier Behavioral Modeling Using an Amplitude Conditioned LSTM
by: Abdelsalam, Abdelrahman, et al.
Published: (2026)

Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
by: Orji, Ugochukwu, et al.
Published: (2025)

Non-negative DAG Learning from Time-Series Data
by: Rey, Samuel, et al.
Published: (2025)

Phase-driven Domain Generalizable Learning for Nonstationary Time Series
by: Mohapatra, Payal, et al.
Published: (2024)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

Consistent Signal Reconstruction from Streaming Multivariate Time Series
by: Ruiz-Moreno, Emilio, et al.
Published: (2023)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

Improved Image Classification with Manifold Neural Networks
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
by: Hoang, Minh Tu, et al.
Published: (2020)

Task- and Metric-Specific Signal Quality Indices for Medical Time Series
by: Haidamous, Jad, et al.
Published: (2026)

On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
by: Tugnait, Jitendra K.
Published: (2021)

Homological Time Series Analysis of Sensor Signals from Power Plants
by: Melodia, Luciano, et al.
Published: (2021)

SCFNet:A Transferable IIIC EEG Classification Network
by: Xu, Weijin
Published: (2024)