Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition

Text Recognition in the Wild

(2021) Xiaoxue Chen et al.   ACM COMPUTING SURVEYS

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders

(2020) Qin Ni et al.   SENSORS

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling

(2020) Gilles Vandewiele et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview

(2019) Wesllen Sousa Lima et al.   SENSORS

A Systematic Review on Imbalanced Data Challenges in Machine Learning

(2019) Harsurinder Kaur et al.   ACM COMPUTING SURVEYS

Multi-sensor fusion based on multiple classifier systems for human activity identification

(2019) Henry Friday Nweke et al.   Human-centric Computing and Information Sciences

Smote-variants: A python implementation of 85 minority oversampling techniques

(2019) György Kovács   NEUROCOMPUTING

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition

(2018) Aaqib Saeed et al.   SENSORS

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Performance Analysis of Smartphone-Sensor Behavior for Human Activity Recognition

(2017) Yufei Chen et al.   IEEE Access

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors

(2016) Muhammad Shoaib et al.   SENSORS

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

(2015) José A. Sáez et al.   INFORMATION SCIENCES

A tutorial on human activity recognition using body-worn inertial sensors

(2014) Andreas Bulling et al.   ACM COMPUTING SURVEYS

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

(2013) Ricardo Chavarriaga et al.   PATTERN RECOGNITION LETTERS

A Survey on Human Activity Recognition using Wearable Sensors

(2012) Oscar D. Lara et al.   IEEE Communications Surveys and Tutorials

Personalization and user verification in wearable systems using biometric walking patterns

(2011) Pierluigi Casale et al.   Personal and Ubiquitous Computing

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT