Real-Time Change Point Detection with Application to Smart Home Time Series Data

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Using change point detection to automate daily activity segmentation

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Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models

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DeepSeg: Deep-Learning-Based Activity Segmentation Framework for Activity Recognition Using WiFi

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A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction

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Enhancing activity recognition using CPD-based activity segmentation

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CSI-Based Human Continuous Activity Recognition Using GMM–HMM

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Comprehensive analysis of change-point dynamics detection in time series data: A review

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Easing Power Consumption of Wearable Activity Monitoring with Change Point Detection

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Structural break-aware pairs trading strategy using deep reinforcement learning

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Embedding-based real-time change point detection with application to activity segmentation in smart home time series data

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WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

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Behavioral Differences Between Subject Groups Identified Using Smart Homes and Change Point Detection

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Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensor Data Streams

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Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features

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Self-Supervised Few-Shot Time-Series Segmentation for Activity Recognition

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IoT based Smart Home Testbed using MQTT Communication Protocol

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The Indoor Predictability of Human Mobility: Estimating Mobility With Smart Home Sensors

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LASO: Exploiting Locomotive and Acoustic Signatures over the Edge to Annotate IMU Data for Human Activity Recognition

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Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches

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On self-adaptive 5G network slice QoS management system: a deep reinforcement learning approach

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A self-supervised contrastive change point detection method for industrial time series

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Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence

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DELFI: Mislabelled Human Context Detection Using Multi-Feature Similarity Linking

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Non-parametric Community Change-points Detection in Streaming Graph Signals

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Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

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Kernel Based Online Change Point Detection

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Transition-Aware Detection of Modes of Locomotion and Transportation Through Hierarchical Segmentation

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ABDP: Accurate Billing on Differentially Private Data Reporting for Smart Grids

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A Novel Processing Methodology for Traffic-Speed Road Surveys Using Point Lasers

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Transformer based Early Classification for Real-time Human Activity Recognition in Smart Homes

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Comparative Study of Classifiers on Human Activity Recognition by Different Feature Engineering Techniques

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Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series

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Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis

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Online Structural Break Detection for Pairs Trading Using Wavelet Transform and Hybrid Deep Learning Model

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Bandit Quickest Changepoint Detection

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Anomaly Detection Based on Convex Analysis: A Survey

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Enhanced Annotation Framework for Activity Recognition Through Change Point Detection

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CPRL: Change Point Detection and Reinforcement Learning to Optimize Cache Placement Strategies

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Latent Stochastic Differential Equations for Change Point Detection

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STADe: Sensory Temporal Action Detection via Temporal-Spectral Representation Learning

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Optimization and Simulation of Garden Image Visual Effect Based on Particle Swarm and Wavelet Threshold

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Toward statistical real-time power fault detection

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Urban Safety as a Service During Bike Navigation: My Smartphone Can Monitor My Street-Lights

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Automatic meter error detection with a data-driven approach

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Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms

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OblivTime: Oblivious and Efficient Interval Skyline Query Processing Over Encrypted Time-Series Data

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An Energy-Efficient Smart Space System using LoRa Network with Deadline and Security Constraints

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Explainable AI for Early Detection of Health Changes Via Streaming Clustering

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Healthy Aging: A Proactive Model to Prevent Self-neglecting Behavior in Smart Homes

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Real-Time Detection and Spatial Segmentation of Difference Image Motion Changes

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Visualization as Intermediate Representations (VLAIR) for Human Activity Recognition

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Active multi-fidelity Bayesian online changepoint detectionPreprint

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Outlier Resilient Online Multivariate Change Point Detection Using Subsequence Divergence Estimation in Sensor Data Streams

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Real-time fuel leakage detection via online change point detection

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SAXJS: An Online Change Point Detection for Wearable Sensor Data

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B-CAVE: A Robust Online Time Series Change Point Detection Algorithm Based on the Between-Class Average and Variance Evaluation Approach

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Hydra-TS: Enhancing Human Activity Recognition With Multiobjective Synthetic Time-Series Data Generation

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Outlier Sensitive Online Change Detection using Convex Combination of Adaptive Filters in Sensor Data Streams

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A Correlation-based Real-time Segmentation Scheme for Multi-user Collaborative Activities

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Acconotate: Exploiting Acoustic Changes for Automatic Annotation of Inertial Data at the Source

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Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes

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A daily activity feature extraction approach based on time series of sensor events

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Online Graph-Based Change-Point Detection for High Dimensional DataPreprint

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A Cross-Study Analysis of Mobile EMA in Monitoring Behavior and Well-Being: Insights to Refine EMA Methods (Preprint)Preprint

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Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract)

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Semantic Annotation of Sensor Data Using a Sequential Possibilistic Clustering Methodology

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Detecting subtle nonlinear changes in slow-moving landslides with a hybrid InSAR change point detection framework: Methodological assessment and validation

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DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework

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Learning When and How to Forget in Variable Window LFU Caching

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Multiple Change Point Detection Method of Profile Data With False Discovery Rate Control

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On The Modified Information-Based Approach to The Change Point Detection (CPD) Problem under The Non-Central Skew t Distribution

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Advanced Algorithms for Real-Time Change Point Detection in Time Series Data

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B-CAVE: A Robust Online Time Series Change Point Detection Algorithm Based on the Between-Class Average and Variance Evaluation Approach

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Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

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Real-Time Change-Point Detection: A Deep Neural Network Based Adaptive Approach for Detecting Changes in Multivariate Time Series DataPreprint

Gupta, M. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4039862 · Cited by 2 · see citing works

A Comparative Study on Change-Point Detection Methods in Time Series Data

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