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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4471-2099-5_1openalex-snapshot
A Sequential Algorithm for Training Text Classifiers
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_31openalex-snapshot
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
inferredcites →https://doi.org/10.1007/978-3-642-25167-2_12openalex-snapshot
Using Active Learning to Allow Activity Recognition on a Large Scale
inferredcites →https://doi.org/10.1007/s11227-015-1395-yopenalex-snapshot
QuaCentive: a quality-aware incentive mechanism in mobile crowdsourced sensing (MCS)
inferredcites →https://doi.org/10.1007/s13278-013-0114-zopenalex-snapshot
High-throughput crowdsourcing mechanisms for complex tasks
inferredcites →https://doi.org/10.1016/j.eswa.2013.09.005openalex-snapshot
Facing the cold start problem in recommender systems
inferredcites →https://doi.org/10.1016/j.ijhcs.2018.01.004openalex-snapshot
A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
inferredcites →https://doi.org/10.1016/j.imavis.2014.08.004openalex-snapshot
Automatic annotation of tennis games: An integration of audio, vision, and learning
inferredcites →https://doi.org/10.1016/j.indmarman.2013.05.006openalex-snapshot
Customers' participation in product development through crowdsourcing: Issues and implications
inferredcites →https://doi.org/10.1016/j.pmcj.2016.08.017openalex-snapshot
Active learning enabled activity recognition
inferredcites →https://doi.org/10.1080/01621459.1952.10483441openalex-snapshot
Use of Ranks in One-Criterion Variance Analysis
inferredcites →https://doi.org/10.1080/01621459.1961.10482090openalex-snapshot
Multiple Comparisons Among Means
inferredcites →https://doi.org/10.1080/13658816.2019.1593422openalex-snapshot
Crowdsourced geospatial data quality: challenges and future directions
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-snapshot
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1109/hicss.2014.377openalex-snapshot
Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification
inferredcites →https://doi.org/10.1109/icdm.2001.989589openalex-snapshot
Incremental learning with support vector machines
inferredcites →https://doi.org/10.1109/iswc.2008.4911586openalex-snapshot
Using rhythm awareness in long-term activity recognition
inferredcites →https://doi.org/10.1109/iswc.2008.4911590openalex-snapshot
Exploring semi-supervised and active learning for activity recognition
inferredcites →https://doi.org/10.1109/iswc.2010.5665868openalex-snapshot
ActiServ: Activity Recognition Service for mobile phones
inferredcites →https://doi.org/10.1109/robot.2009.5152428openalex-snapshot
Active-learning assisted self-reconfigurable activity recognition in a dynamic environment
inferredcites →https://doi.org/10.1145/1357054.1357159openalex-snapshot
Experience sampling for building predictive user models
inferredcites →https://doi.org/10.1145/1689239.1689243openalex-snapshot
Using mobile phones to determine transportation modes
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/1979742.1979575openalex-snapshot
Gamification. using game-design elements in non-gaming contexts
inferredcites →https://doi.org/10.1145/2030112.2030160openalex-snapshot
Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
inferredcites →https://doi.org/10.1145/2030112.2030170openalex-snapshot
Exploring micro-incentive strategies for participant compensation in high-burden studies
inferredcites →https://doi.org/10.1145/2181037.2181040openalex-snapshot
From game design elements to gamefulness
inferredcites →https://doi.org/10.1145/2413097.2413148openalex-snapshot
Creating and benchmarking a new dataset for physical activity monitoring
inferredcites →https://doi.org/10.1145/2444776.2444789openalex-snapshot
Lowering the barriers to large-scale mobile crowdsensing
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/2628363.2628364openalex-snapshot
An in-situ study of mobile phone notifications
inferredcites →https://doi.org/10.1145/2638728.2641674openalex-snapshot
Designing and evaluating active learning methods for activity recognition
inferredcites →https://doi.org/10.1145/2750858.2807524openalex-snapshot
A field study comparing approaches to collecting annotated activity data in real-world settings
inferredcites →https://doi.org/10.1145/2994374.2994400openalex-snapshot
Supervised and Unsupervised Transfer Learning for Activity Recognition from Simple In-home Sensors
inferredcites →https://doi.org/10.1145/3097983.3098052openalex-snapshot
Anomaly Detection with Robust Deep Autoencoders
inferredcites →https://doi.org/10.1145/3130972openalex-snapshot
Gamification of Mobile Experience Sampling Improves Data Quality and Quantity
inferredcites →https://doi.org/10.1145/3173574.3173795openalex-snapshot
The Role of Gamification in Participatory Environmental Sensing
inferredcites →https://doi.org/10.1145/3173574.3173805openalex-snapshot
Inferring Loop Invariants through Gamification
inferredcites →https://doi.org/10.1145/3173574.3174023openalex-snapshot
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
inferredcites →https://doi.org/10.1145/3267305.3267633openalex-snapshot
A Mobile App for Nursing Activity Recognition
inferredcites →https://doi.org/10.1145/3313831.3376403openalex-snapshot
Improving Worker Engagement Through Conversational Microtask Crowdsourcing
inferredcites →https://doi.org/10.1145/3328906openalex-snapshot
Scaling Crowdsourcing with Mobile Workforce
inferredcites →https://doi.org/10.1145/3341162.3345585openalex-snapshot
Optimizing activity data collection with gamification points using uncertainty based active learning
inferredcites →https://doi.org/10.1145/3351244openalex-snapshot
Integrating Activity Recognition and Nursing Care Records
inferredcites →https://doi.org/10.1504/ijcnds.2013.054832openalex-snapshot
From sensing to controlling: the state of the art in ubiquitous crowdsourcing
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.21437/eurospeech.2001-354openalex-snapshot
ANVIL - a generic annotation tool for multimodal dialogue
inferredcites →https://doi.org/10.3182/20130902-3-cn-3020.00044openalex-snapshot
An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window
inferredcites →https://doi.org/10.3390/s18072203openalex-snapshot
Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone
inferredcites →https://doi.org/10.3390/s18072365openalex-snapshot
Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User’s Perspective
inferredcites →https://doi.org/10.3390/s19153434openalex-snapshot
On-Device Deep Learning Inference for Efficient Activity Data Collection
inferredcites →https://doi.org/10.4108/icst.pervasivehealth2010.8851openalex-snapshot
Improving activity classification for health applications on mobile devices using active and semi-supervised learning
inferredcites →https://doi.org/10.5860/choice.49-6095openalex-snapshot
Reality is broken: why games make us better and how they can change the world
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00779-024-01820-wopenalex-snapshot
Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
inferred← citeshttps://doi.org/10.1038/s41598-024-81228-xopenalex-snapshot
A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification
inferred← citeshttps://doi.org/10.1080/0144929x.2025.2568932openalex-snapshot
Quest for quality: a review of design knowledge on gamified AI training data annotation systems
inferred← citeshttps://doi.org/10.1108/ejim-10-2022-0589openalex-snapshot
Is sustained participation a myth in crowdsourcing? A review
inferred← citeshttps://doi.org/10.1109/mprv.2022.3160063openalex-snapshot
Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021
inferred← citeshttps://doi.org/10.1109/tmc.2026.3670149openalex-snapshot
UrbanPOI: Updating Urban POIs With Large-Scale Crowdsourcing for Location-Based Services
inferred← citeshttps://doi.org/10.1145/3550319openalex-snapshot
Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection
inferred← citeshttps://doi.org/10.1145/3583780.3614724openalex-snapshot
Urban-scale POI Updating with Crowd Intelligence
inferred← citeshttps://doi.org/10.1145/3659597openalex-snapshot
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
inferred← citeshttps://doi.org/10.1145/3729473openalex-snapshot
CALM: A Ubiquitous Crowdsourced Analytic Learning Mechanism for Continual Service Construction with Data Privacy Preservation
inferred← citeshttps://doi.org/10.1145/3731749openalex-snapshot
From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild
inferred← citeshttps://doi.org/10.1145/3770854.3783921openalex-snapshot
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
inferred← citeshttps://doi.org/10.23919/splitech58164.2023.10193725openalex-snapshot
BeeMate the Game: A hunting treasure serious game for raising awareness and audience engagement in air pollution monitoring
inferred← citeshttps://doi.org/10.26599/ijcs.2023.9100010openalex-snapshot
Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3389/fcomp.2025.1696178openalex-snapshot
Assisting annotators of wearable activity recognition datasets through automated sensor-based suggestions
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