:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hota, Aritra, Chatterjee, Soumyajit, Chakraborty, Sandip
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2403.01133
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
by: Chatterjee, Soumyajit, et al.
Published: (2021)

Signal Quality Auditing for Time-series Data
by: Gao, Chufan, et al.
Published: (2024)

DNS: Data-driven Nonlinear Smoother for Complex Model-free Process
by: Cumlin, Fredrik, et al.
Published: (2026)

Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)

Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
by: Lee, Youngjoon, et al.
Published: (2025)

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
by: Rani, Jyoti, et al.
Published: (2024)

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
by: Bhattacharjee, Kaustav, et al.
Published: (2023)

pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
by: Ghosh, Anubhab, et al.
Published: (2025)

Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
by: Li, Yangmeng, et al.
Published: (2026)

Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
by: Bhattacharjee, Kaustav, et al.
Published: (2024)

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
by: Ghosh, Anubhab, et al.
Published: (2023)

Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements
by: Ghosh, Anubhab, et al.
Published: (2024)

Learning the Influence Graph of a High-Dimensional Markov Process with Memory
by: Bagewadi, Smita, et al.
Published: (2024)

StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs
by: Ling, Tianheng, et al.
Published: (2025)

Zero-Shot Load Forecasting with Large Language Models
by: Liao, Wenlong, et al.
Published: (2024)

Power-of-Two (PoT) Weights in Large Language Models (LLMs)
by: Elgenedy, Mahmoud
Published: (2025)

Robust Transmission of Punctured Text with Large Language Model-based Recovery
by: Park, Sojeong, et al.
Published: (2025)

One-bit Compressed Sensing using Generative Models
by: Kafle, Swatantra, et al.
Published: (2025)

Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
by: Sen, Ovishake, et al.
Published: (2025)

Function-Space Empirical Bayes Regularisation with Large Vision-Language Model Priors
by: Hao, Pengcheng, et al.
Published: (2026)

PhySense: Sensor Placement Optimization for Accurate Physics Sensing
by: Ma, Yuezhou, et al.
Published: (2025)

Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
by: Luo, Yunfei, et al.
Published: (2024)

A Multi-Modal Foundational Model for Wireless Communication and Sensing
by: Yazdnian, Vahid, et al.
Published: (2026)

Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
by: Haresamudram, Harish, et al.
Published: (2024)

What Physics do Data-Driven MoCap-to-Radar Models Learn?
by: Chen, Kevin, et al.
Published: (2026)

Collaborative Large Language Model Inference via Resource-Aware Parallel Speculative Decoding
by: Koh, Jungyeon, et al.
Published: (2025)

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)

VSE: Variational state estimation of complex model-free process
by: Norén, Gustav, et al.
Published: (2026)

A Sensing Dataset Protocol for Benchmarking and Multi-Task Wireless Sensing
by: Huang, Jiawei, et al.
Published: (2025)

An Objective Performance Evaluation of the LSTM Networks in Time Series Classification
by: Sunil, Sooraj, et al.
Published: (2026)

MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar
by: Wang, Ziqi, et al.
Published: (2025)

Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
by: Ahn, Seokho, et al.
Published: (2024)

"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living
by: Chatterjee, Soumyajit, et al.
Published: (2023)

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
by: Li, Rong, 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)

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

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

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
by: Kimura, Tomoyoshi, et al.
Published: (2024)

Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction
by: Dongre, Poorvesh, et al.
Published: (2024)

Learning Conditional Independence Differential Graphs From Time-Dependent Data
by: Tugnait, Jitendra K
Published: (2025)