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Revolt

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-11915-1_31openalex-snapshot

CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data

inferredcites →https://doi.org/10.1007/978-94-010-0201-1_1openalex-snapshot

The Penn Treebank: An Overview

inferredcites →https://doi.org/10.1007/bf02769550openalex-snapshot

On the definition of “Picture”

inferredcites →https://doi.org/10.1023/a:1010690908200openalex-snapshot

Analyzing Interview Data: The Development and Evolution of a Coding System

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1145/1148170.1148177openalex-snapshot

Improving web search ranking by incorporating user behavior information

inferredcites →https://doi.org/10.1145/1805986.1806020openalex-snapshot

VizWiz

inferredcites →https://doi.org/10.1145/1837885.1837906openalex-snapshot

Quality management on Amazon Mechanical Turk

inferredcites →https://doi.org/10.1145/1866029.1866080openalex-snapshot

VizWiz

inferredcites →https://doi.org/10.1145/2047196.2047201openalex-snapshot

Crowds in two seconds

inferredcites →https://doi.org/10.1145/2145204.2145355openalex-snapshot

Shepherding the crowd yields better work

inferredcites →https://doi.org/10.1145/2187836.2187900openalex-snapshot

ZenCrowd

inferredcites →https://doi.org/10.1145/219717.219748openalex-snapshot

WordNet

inferredcites →https://doi.org/10.1145/2380116.2380125openalex-snapshot

CrowdScape

inferredcites →https://doi.org/10.1145/2384916.2384941openalex-snapshot

Crowdsourcing subjective fashion advice using VizWiz

inferredcites →https://doi.org/10.1145/2441776.2441848openalex-snapshot

Quality control mechanisms for crowdsourcing

inferredcites →https://doi.org/10.1145/2441776.2441923openalex-snapshot

The future of crowd work

inferredcites →https://doi.org/10.1145/2470654.2466265openalex-snapshot

Cascade

inferredcites →https://doi.org/10.1145/2488388.2488421openalex-snapshot

Pick-a-crowd

inferredcites →https://doi.org/10.1145/2501988.2502057openalex-snapshot

Chorus

inferredcites →https://doi.org/10.1145/2528394.2528396openalex-snapshot

Are Some Tweets More Interesting Than Others? #HardQuestion

inferredcites →https://doi.org/10.1145/2531602.2531638openalex-snapshot

Ensemble

inferredcites →https://doi.org/10.1145/2531602.2531653openalex-snapshot

Crowd synthesis

inferredcites →https://doi.org/10.1145/2556288.2557238openalex-snapshot

Structured labeling for facilitating concept evolution in machine learning

inferredcites →https://doi.org/10.1145/2556288.2557375openalex-snapshot

Frenzy

inferredcites →https://doi.org/10.1145/2642918.2647367openalex-snapshot

Glance

inferredcites →https://doi.org/10.1145/2702123.2702416openalex-snapshot

Zensors

inferredcites →https://doi.org/10.1145/2702123.2702553openalex-snapshot

Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk

inferredcites →https://doi.org/10.1145/2818048.2820016openalex-snapshot

Parting Crowds

inferredcites →https://doi.org/10.1145/2818048.2820023openalex-snapshot

Improving Crowd Innovation with Expert Facilitation

inferredcites →https://doi.org/10.1145/2858036.2858115openalex-snapshot

Embracing Error to Enable Rapid Crowdsourcing

inferredcites →https://doi.org/10.1145/2858036.2858268openalex-snapshot

Toward a Learning Science for Complex Crowdsourcing Tasks

inferredcites →https://doi.org/10.1145/2858036.2858411openalex-snapshot

Alloy

inferredcites →https://doi.org/10.1145/2858036.2858539openalex-snapshot

Taking a HIT

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1162/089120103322711578openalex-snapshot

The Web as a Parallel Corpus

inferredcites →https://doi.org/10.1177/1525822x980100020301openalex-snapshot

Codebook Development for Team-Based Qualitative Analysis

inferredcites →https://doi.org/10.1609/hcomp.v1i1.13091openalex-snapshot

Crowdsourcing Multi-Label Classification for Taxonomy Creation

inferredcites →https://doi.org/10.1609/hcomp.v4i1.13270openalex-snapshot

MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy

inferredcites →https://doi.org/10.1609/icwsm.v5i1.14105openalex-snapshot

An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-mainopenalex-snapshot

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

inferredcites →https://doi.org/10.21225/d5g01topenalex-snapshot

Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory

inferredcites →https://doi.org/10.21236/ada273556openalex-snapshot

Building a Large Annotated Corpus of English: The Penn Treebank

inferredcites →https://doi.org/10.3115/1034678.1034721openalex-snapshot

Development and use of a gold-standard data set for subjectivity classifications

inferredcites →https://doi.org/10.3115/1073012openalex-snapshot

Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01

inferredcites →https://doi.org/10.3115/1613715.1613751openalex-snapshot

Cheap and fast---but is it good?

inferredcites →https://doi.org/10.3115/v1/p14-2083openalex-snapshot

Linguistically debatable or just plain wrong?

inferredcites →https://doi.org/10.5555/2343576.2343643openalex-snapshot

Combining human and machine intelligence in large-scale crowdsourcing

inferredcites →https://doi.org/10.65109/bqfv7603openalex-snapshot

BudgetFix: budget limited crowdsourcing for interdependent task allocation with quality guarantees

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3245383openalex-extracted

Making AI Ready for the Wild: The Hybrid Intelligence Unicorn Hunter

inferred← citeshttps://doi.org/10.2139/ssrn.4673217openalex-extracted

Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy

inferred← citeshttps://doi.org/10.1002/aaai.70064openalex-snapshot

Hybrid humor: Investigating AI's potential in cartoon caption writing

inferred← citeshttps://doi.org/10.1002/fhu2.11openalex-snapshot

The wicked problem of naming the intangible: Abstract concepts, binary thinking, and computer vision labels

inferred← citeshttps://doi.org/10.1007/978-3-030-29387-1_22openalex-snapshot

Evidence Humans Provide When Explaining Data-Labeling Decisions

inferred← citeshttps://doi.org/10.1007/978-3-030-50146-4_35openalex-snapshot

Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory

inferred← citeshttps://doi.org/10.1007/978-3-030-64148-1_13openalex-snapshot

Data Labeling: An Empirical Investigation into Industrial Challenges and Mitigation Strategies

inferred← citeshttps://doi.org/10.1007/978-3-030-72651-5_50openalex-snapshot

Using Expert Crowdsourcing to Annotate Extreme Weather Events

inferred← citeshttps://doi.org/10.1007/978-3-030-86797-3_14openalex-snapshot

Augmenting Humans in the Loop: Towards an Augmented Reality Object Labeling Application for Crowdsourcing Communities

inferred← citeshttps://doi.org/10.1007/978-3-030-87722-4_23openalex-snapshot

Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities?

inferred← citeshttps://doi.org/10.1007/978-3-031-02318-7openalex-snapshot

The Practice of Crowdsourcing

inferred← citeshttps://doi.org/10.1007/978-3-031-05643-7_31openalex-snapshot

Trafne: A Training Framework for Non-expert Annotators with Auto Validation and Expert Feedback

inferred← citeshttps://doi.org/10.1007/978-3-031-12423-5_12openalex-snapshot

Deep Active Learning Framework for Crowdsourcing-Enhanced Image Classification and Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-031-60107-1_8openalex-snapshot

Dynamic Labeling: A Control System for Labeling Styles in Image Annotation Tasks

inferred← citeshttps://doi.org/10.1007/978-3-031-70352-2_22openalex-snapshot

Efficient Privacy-Preserving Truth Discovery and Copy Detection in Crowdsourcing

inferred← citeshttps://doi.org/10.1007/978-3-031-73229-4_4openalex-snapshot

Quality Assured: Rethinking Annotation Strategies in Imaging AI

inferred← citeshttps://doi.org/10.1007/978-3-031-90080-8_6openalex-snapshot

Explainable AI (XAI) in Social Intelligence

inferred← citeshttps://doi.org/10.1007/978-981-19-4472-7_92openalex-snapshot

Understanding the Design Effects of Progress Indicators on Online Surveys

inferred← citeshttps://doi.org/10.1007/978-981-99-4752-2_22openalex-snapshot

Adaptive Clustering-Based Collusion Detection in Crowdsourcing

inferred← citeshttps://doi.org/10.1007/s00521-024-10188-0openalex-snapshot

Ground-truth generation through crowdsourcing with probabilistic indexes

inferred← citeshttps://doi.org/10.1007/s00778-026-00969-5openalex-snapshot

Efficient Task Assignment for Multi-Workerset Crowdsourcing with Time and Expense Considerations

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/10.1007/s00799-023-00360-7openalex-snapshot

Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing

inferred← citeshttps://doi.org/10.1007/s10115-025-02640-xopenalex-snapshot

Privacy-preserving crowdsourcing labeling with quality control: a differential privacy approach

inferred← citeshttps://doi.org/10.1007/s10489-022-03710-1openalex-snapshot

Towards continuous consistency axiom

inferred← citeshttps://doi.org/10.1007/s10994-025-06976-xopenalex-snapshot

Combating Noisy Labels in Object Detection Datasets

inferred← citeshttps://doi.org/10.1007/s11257-023-09383-wopenalex-snapshot

Cognitive personalization for online microtask labor platforms: A systematic literature review

inferred← citeshttps://doi.org/10.1007/s11390-018-1823-6openalex-snapshot

Collusion-Proof Result Inference in Crowdsourcing

inferred← citeshttps://doi.org/10.1007/s41060-024-00713-8openalex-snapshot

An empirical evaluation of deep semi-supervised learning

inferred← citeshttps://doi.org/10.1016/b978-0-12-819061-6.00009-4openalex-snapshot

Simulation of biomedical signals and images using Monte Carlo methods for training of deep learning networks

inferred← citeshttps://doi.org/10.1016/j.array.2022.100187openalex-snapshot

How statistical modeling and machine learning could help in the calibration of numerical simulation and fluid mechanics models? Application to the calibration of models reproducing the vibratory behavior of an overhead line conductor

inferred← citeshttps://doi.org/10.1016/j.buildenv.2020.106848openalex-snapshot

Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.07.030openalex-snapshot

CrowdStart: Warming up cold-start items using crowdsourcing

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125284openalex-snapshot

Large Scale Anonymous Collusion and its detection in crowdsourcing

inferred← citeshttps://doi.org/10.1016/j.future.2020.09.033openalex-snapshot

SeCrowd: Efficient secure interactive crowdsourcing via permission-based signatures

inferred← citeshttps://doi.org/10.1016/j.ins.2019.12.012openalex-snapshot

CONAN: A framework for detecting and handling collusion in crowdsourcing

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121107openalex-snapshot

Blockchain-based crowdsourced deep reinforcement learning as a service

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106223openalex-snapshot

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise

inferred← citeshttps://doi.org/10.1016/j.mlwa.2021.100132openalex-snapshot

A web crowdsourcing framework for transfer learning and personalized Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128090openalex-snapshot

Neighborhood repartition-based oversampling algorithm for multiclass imbalanced data with label noise

inferred← citeshttps://doi.org/10.1017/9781108872225.006openalex-snapshot

Doing Human-Centered Machine Learning

inferred← citeshttps://doi.org/10.1017/9781108872225.008openalex-snapshot

Data for Machine Learning

inferred← citeshttps://doi.org/10.1017/dap.2023.30openalex-snapshot

Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems

inferred← citeshttps://doi.org/10.1038/s42256-023-00625-5openalex-snapshot

Labelling instructions matter in biomedical image analysis

inferred← citeshttps://doi.org/10.1038/s44287-023-00012-7openalex-snapshot

Artificial intelligence applications in histopathology

inferred← citeshttps://doi.org/10.1080/0144929x.2024.2329616openalex-snapshot

Explaining crowdworker behaviour through computational rationality

inferred← citeshttps://doi.org/10.1108/ijcs-03-2019-0012openalex-snapshot

Collective hybrid intelligence: towards a conceptual framework

inferred← citeshttps://doi.org/10.1108/ijcs-12-2018-0026openalex-snapshot

Crowdsourcing for search engines: perspectives and challenges

inferred← citeshttps://doi.org/10.1109/access.2019.2930905openalex-snapshot

Extracting the Pairs of Opinion Target and Opinion Term From Reviews With Adaptive Crowd Labeling

inferred← citeshttps://doi.org/10.1109/access.2021.3131391openalex-snapshot

Proof of Concept: Calibration of an Overhead Line Conductors’ Movements Simulation Model Using Ensemble-Based Machine Learning Model

inferred← citeshttps://doi.org/10.1109/access.2021.3135514openalex-snapshot

A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

inferred← citeshttps://doi.org/10.1109/access.2026.3663220openalex-snapshot

CricShot10k: A Large-Scale Video Dataset for Cricket Shot Classification

inferred← citeshttps://doi.org/10.1109/asyu52992.2021.9599078openalex-snapshot

The Impact of Ensemble Learning in Sentiment Analysis under Domain Shift

inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622435openalex-snapshot

A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction

inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9005446openalex-snapshot

A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning

inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020415openalex-snapshot

A Labeling Task Design for Supporting Recent Algorithmic Needs

inferred← citeshttps://doi.org/10.1109/bigmm50055.2020.00036openalex-snapshot

Integrated Crowdsourcing Framework Using Deep Learning for Digitalization of Indian Heritage Infrastructure

inferred← citeshttps://doi.org/10.1109/compsac51774.2021.00038openalex-snapshot

An Empirical Evaluation of Algorithms for Data Labeling

inferred← citeshttps://doi.org/10.1109/csci62032.2023.00279openalex-snapshot

Tokenization of Digital Assets for Ethical and Equitable Model Training in an AI-Based Proctoring Application

inferred← citeshttps://doi.org/10.1109/cscwd.2018.8465368openalex-snapshot

Enabling the Disagreement among Crowds: A Collaborative Crowdsourcing Framework

inferred← citeshttps://doi.org/10.1109/eurosp53844.2022.00010openalex-snapshot

SoK: The Impact of Unlabelled Data in Cyberthreat Detection

inferred← citeshttps://doi.org/10.1109/fie61694.2024.10893321openalex-snapshot

Credibility Metrics for Student-Assigned Labels of Textual Comments

inferred← citeshttps://doi.org/10.1109/iccke57176.2022.9960084openalex-snapshot

IranITJobs2021: a Dataset for Analyzing Iranian Online IT Job Advertisements Collected Using a New Crowdsourcing-based Dataset Gathering Process

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01567openalex-snapshot

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels

inferred← citeshttps://doi.org/10.1109/icnsc55942.2022.10004155openalex-snapshot

A text analysis model based on Probabilistic-KG

inferred← citeshttps://doi.org/10.1109/icsai48974.2019.9010163openalex-snapshot

A Human-in-the-Loop Method for Developing Machine Learning Applications

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9534264openalex-snapshot

Improving Object Detection in Art Images Using Only Style Transfer

inferred← citeshttps://doi.org/10.1109/itc-cscc55581.2022.9895059openalex-snapshot

A semi-automated annotation for boar sperm classification using deep convolution neuron network

inferred← citeshttps://doi.org/10.1109/jiot.2020.3049024openalex-snapshot

Contact Tracing Incentive for COVID-19 and Other Pandemic Diseases From a Crowdsourcing Perspective

inferred← citeshttps://doi.org/10.1109/melecon53508.2022.9843111openalex-snapshot

Exploring How Weak Supervision Can Assist the Annotation of Computer Vision Datasets

inferred← citeshttps://doi.org/10.1109/mnet.011.2000516openalex-snapshot

How Artificial Intelligence and Mobile Crowd Sourcing are Inextricably Intertwined

inferred← citeshttps://doi.org/10.1109/qrs54544.2021.00118openalex-snapshot

Understanding the Resilience of Neural Network Ensembles against Faulty Training Data

inferred← citeshttps://doi.org/10.1109/seaa53835.2021.00049openalex-snapshot

Assessing the Suitability of Semi-Supervised Learning Datasets using Item Response Theory

inferred← citeshttps://doi.org/10.1109/seaa60479.2023.00024openalex-snapshot

Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study

inferred← citeshttps://doi.org/10.1109/taffc.2023.3273916openalex-snapshot

Crowdsourcing Affective Annotations Via fNIRS-BCI

inferred← citeshttps://doi.org/10.1109/tale.2018.8615279openalex-snapshot

Teaching Students About Machine Learning Through a Gamified Approach

inferred← citeshttps://doi.org/10.1109/tdsc.2024.3415003openalex-snapshot

GoCrowd: Obliviously Aggregating Crowd Wisdom With Quality Awareness in Crowdsourcing

inferred← citeshttps://doi.org/10.1109/tem.2020.3041933openalex-snapshot

Mapping the Technological Landscape of Emerging Industry Value Chain Through a Patent Lens: An Integrated Framework With Deep Learning

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3241402openalex-snapshot

Accurate Label Refinement From Multiannotator of Remote Sensing Data

inferred← citeshttps://doi.org/10.1109/tkde.2019.2946162openalex-snapshot

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

inferred← citeshttps://doi.org/10.1109/tnsm.2024.3355310openalex-snapshot

Labeling Cloud Metrics Data for Fault Detection in Cloud Using Active Learning With Test Suite

inferred← citeshttps://doi.org/10.1109/tvcg.2023.3322898openalex-snapshot

Eliciting Model Steering Interactions From Users via Data and Visual Design Probes

inferred← citeshttps://doi.org/10.1109/tvcg.2024.3456329openalex-snapshot

DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study

inferred← citeshttps://doi.org/10.1109/tvcg.2024.3456354openalex-snapshot

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models

inferred← citeshttps://doi.org/10.1109/tvcg.2024.3468352openalex-snapshot

A Simulation-Based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning

inferred← citeshttps://doi.org/10.1109/tvcg.2025.3560345openalex-snapshot

ReorderBench: A Benchmark for Matrix Reordering

inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00178openalex-snapshot

Crossroads of Continents: Automated Artifact Extraction for Cultural Adaptation with Large Multimodal Models

inferred← citeshttps://doi.org/10.1111/cgf.13973openalex-snapshot

Classifier‐Guided Visual Correction of Noisy Labels for Image Classification Tasks

inferred← citeshttps://doi.org/10.1111/risa.70214openalex-snapshot

Community Shaping in the Digital Age: A Risk‐Focused Temporal Fusion Framework for Analyzing Information Diffusion and Fragmentation in Online Social Networks

inferred← citeshttps://doi.org/10.1117/12.2680526openalex-snapshot

Prominence convergence in the strategy coordination of crowdsourcing workers

inferred← citeshttps://doi.org/10.1145/3134664openalex-snapshot

Seeing Sound

inferred← citeshttps://doi.org/10.1145/3152771.3156146openalex-snapshot

Evaluating crowdsourced relevance assessments using self-reported traits and task speed

inferred← citeshttps://doi.org/10.1145/3173574.3173733openalex-snapshot

Conceptualizing Disagreement in Qualitative Coding

inferred← citeshttps://doi.org/10.1145/3196709.3196729openalex-snapshot

Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models

inferred← citeshttps://doi.org/10.1145/3242587.3242598openalex-snapshot

Sprout

inferred← citeshttps://doi.org/10.1145/3267338openalex-snapshot

“Dave...I can assure you ...that it’s going to be all right ...” A Definition, Case for, and Survey of Algorithmic Assurances in Human-Autonomy Trust Relationships

inferred← citeshttps://doi.org/10.1145/3274423openalex-snapshot

Resolvable vs. Irresolvable Disagreement

inferred← citeshttps://doi.org/10.1145/3290605.3300460openalex-snapshot

AILA

inferred← citeshttps://doi.org/10.1145/3290605.3300830openalex-snapshot

Improving Fairness in Machine Learning Systems

inferred← citeshttps://doi.org/10.1145/3290607.3312879openalex-snapshot

Ways of Qualitative Coding

inferred← citeshttps://doi.org/10.1145/3301275.3302305openalex-snapshot

Popup

inferred← citeshttps://doi.org/10.1145/3301275.3302321openalex-snapshot

SearchLens

inferred← citeshttps://doi.org/10.1145/3308558.3313554openalex-snapshot

Leveraging Peer Communication to Enhance Crowdsourcing

inferred← citeshttps://doi.org/10.1145/3308558.3320096openalex-snapshot

Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data

inferred← citeshttps://doi.org/10.1145/3308560.3317081openalex-snapshot

TaskMate: A Mechanism to Improve the Quality of Instructions in Crowdsourcing

inferred← citeshttps://doi.org/10.1145/3308560.3317083openalex-snapshot

Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions

inferred← citeshttps://doi.org/10.1145/3308560.3320096openalex-snapshot

Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data

inferred← citeshttps://doi.org/10.1145/3313831.3376506openalex-snapshot

Ambiguity-aware AI Assistants for Medical Data Analysis

inferred← citeshttps://doi.org/10.1145/3319616openalex-snapshot

Local Decision Pitfalls in Interactive Machine Learning

inferred← citeshttps://doi.org/10.1145/3325480.3325486openalex-snapshot

Structuring Online Dyads

inferred← citeshttps://doi.org/10.1145/3351095.3372862openalex-snapshot

Garbage in, garbage out?

inferred← citeshttps://doi.org/10.1145/3351240openalex-snapshot

Knocker

inferred← citeshttps://doi.org/10.1145/3357236.3395525openalex-snapshot

A Survey on Interactive Reinforcement Learning

inferred← citeshttps://doi.org/10.1145/3359164openalex-snapshot

Efficient Elicitation Approaches to Estimate Collective Crowd Answers

inferred← citeshttps://doi.org/10.1145/3359178openalex-snapshot

Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication

inferred← citeshttps://doi.org/10.1145/3359227openalex-snapshot

Paying Crowd Workers for Collaborative Work

inferred← citeshttps://doi.org/10.1145/3397481.3450685openalex-snapshot

Crowdsourcing Scholarly Discourse Annotations

inferred← citeshttps://doi.org/10.1145/3411764.3445165openalex-snapshot

Spatial Labeling: Leveraging Spatial Layout for Improving Label Quality in Non-Expert Image Annotation

inferred← citeshttps://doi.org/10.1145/3411764.3445423openalex-snapshot

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

inferred← citeshttps://doi.org/10.1145/3411764.3445518openalex-snapshot

“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI

inferred← citeshttps://doi.org/10.1145/3415176openalex-snapshot

"I Hope This Is Helpful"

inferred← citeshttps://doi.org/10.1145/3415203openalex-snapshot

CrowdCO-OP

inferred← citeshttps://doi.org/10.1145/3442188.3445940openalex-snapshot

Detecting discriminatory risk through data annotation based on Bayesian inferences

inferred← citeshttps://doi.org/10.1145/3449213openalex-snapshot

Crowdsourcing and Evaluating Concept-driven Explanations of Machine Learning Models

inferred← citeshttps://doi.org/10.1145/3458055.3458063openalex-snapshot

A model for the individual empowerment using intrinsic personalization of crowdsourcing tasks

inferred← citeshttps://doi.org/10.1145/3465336.3475109openalex-snapshot

What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing

inferred← citeshttps://doi.org/10.1145/3473856.3473873openalex-snapshot

Accelerating Deductive Coding of Qualitative Data: An Experimental Study on the Applicability of Crowdsourcing

inferred← citeshttps://doi.org/10.1145/3476073openalex-snapshot

The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help

inferred← citeshttps://doi.org/10.1145/3476076openalex-snapshot

Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty

inferred← citeshttps://doi.org/10.1145/3485447.3512239openalex-snapshot

The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation

inferred← citeshttps://doi.org/10.1145/3487553.3524236openalex-snapshot

Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?

inferred← citeshttps://doi.org/10.1145/3491101.3519614openalex-snapshot

Debiased Label Aggregation for Subjective Crowdsourcing Tasks

inferred← citeshttps://doi.org/10.1145/3491102.3502004openalex-snapshot

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

inferred← citeshttps://doi.org/10.1145/3491102.3502042openalex-snapshot

Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale

inferred← citeshttps://doi.org/10.1145/3491102.3502133openalex-snapshot

Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

inferred← citeshttps://doi.org/10.1145/3491102.3517529openalex-snapshot

Predicting Opportune Moments to Deliver Notifications in Virtual Reality

inferred← citeshttps://doi.org/10.1145/3491102.3517612openalex-snapshot

OneLabeler: A Flexible System for Building Data Labeling Tools

inferred← citeshttps://doi.org/10.1145/3492854openalex-snapshot

Investigating Crowdworkers' Identify, Perception and Practices in Micro-Task Crowdsourcing

inferred← citeshttps://doi.org/10.1145/3492855openalex-snapshot

HC-COVID

inferred← citeshttps://doi.org/10.1145/3498366.3505812openalex-snapshot

Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics

inferred← citeshttps://doi.org/10.1145/3512935openalex-snapshot

Eliciting Confidence for Improving Crowdsourced Audio Annotations

inferred← citeshttps://doi.org/10.1145/3526113.3545663openalex-snapshot

ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation

inferred← citeshttps://doi.org/10.1145/3529190.3529222openalex-snapshot

[Data] Quality Lies In The Eyes Of The Beholder

inferred← citeshttps://doi.org/10.1145/3529372.3533285openalex-snapshot

TinyGenius

inferred← citeshttps://doi.org/10.1145/3544548.3581290openalex-snapshot

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design

inferred← citeshttps://doi.org/10.1145/3551349.3560421openalex-snapshot

Answer Summarization for Technical Queries: Benchmark and New Approach

inferred← citeshttps://doi.org/10.1145/3555178openalex-snapshot

CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection

inferred← citeshttps://doi.org/10.1145/3555212openalex-snapshot

Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution

inferred← citeshttps://doi.org/10.1145/3555636openalex-snapshot

It's All Relative! A Method to Counter Human Bias in Crowdsourced Stance Detection of News Articles

inferred← citeshttps://doi.org/10.1145/3563657.3595974openalex-snapshot

Objective Portrait

inferred← citeshttps://doi.org/10.1145/3563657.3595997openalex-snapshot

CoSINT: Designing a Collaborative Capture the Flag Competition to Investigate Misinformation

inferred← citeshttps://doi.org/10.1145/3579500openalex-snapshot

It Is All About Criticism: Understanding the Effect of Social Media Discourse on Legal Crowdfunding Campaigns

inferred← citeshttps://doi.org/10.1145/3581641.3584039openalex-snapshot

Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment

inferred← citeshttps://doi.org/10.1145/3587281.3587293openalex-snapshot

AutoChemplete - Making Chemical Structural Formulas Accessible

inferred← citeshttps://doi.org/10.1145/3610074openalex-snapshot

Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement

inferred← citeshttps://doi.org/10.1145/3610183openalex-snapshot

Crowdsourcing Subjective Annotations Using Pairwise Comparisons Reduces Bias and Error Compared to the Majority-vote Method

inferred← citeshttps://doi.org/10.1145/3610203openalex-snapshot

Public Health Calls for/with AI: An Ethnographic Perspective

inferred← citeshttps://doi.org/10.1145/3613904.3642089openalex-snapshot

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

inferred← citeshttps://doi.org/10.1145/3613904.3642429openalex-snapshot

"Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work

inferred← citeshttps://doi.org/10.1145/3613904.3642501openalex-snapshot

Towards a Non-Ideal Methodological Framework for Responsible ML

inferred← citeshttps://doi.org/10.1145/3637298openalex-snapshot

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

inferred← citeshttps://doi.org/10.1145/3637872openalex-snapshot

On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments

inferred← citeshttps://doi.org/10.1145/3640543.3645157openalex-snapshot

DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback

inferred← citeshttps://doi.org/10.1145/3640543.3645204openalex-snapshot

Studying Collaborative Interactive Machine Teaching in Image Classification

inferred← citeshttps://doi.org/10.1145/3640543.3645214openalex-snapshot

Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems

inferred← citeshttps://doi.org/10.1145/3641023openalex-snapshot

The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines

inferred← citeshttps://doi.org/10.1145/3670947.3670958openalex-snapshot

Speed Labeling: Non-stop Scrolling for Fast Image Labeling

inferred← citeshttps://doi.org/10.1145/3706599.3716230openalex-snapshot

Linting is People! Exploring the Potential of Human Computation as a Sociotechnical Linter of Data Visualizations

inferred← citeshttps://doi.org/10.1145/3708359.3712161openalex-snapshot

Empowering Medical Data Labeling for Non-Experts with DANNY: Enhancing Accuracy and Mitigating Over-Reliance on AI

inferred← citeshttps://doi.org/10.1145/3716134openalex-snapshot

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows

inferred← citeshttps://doi.org/10.1145/3757232.3757340openalex-snapshot

Capturing Linguistic Diversity in Data Annotation

inferred← citeshttps://doi.org/10.1145/3757628openalex-snapshot

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks

inferred← citeshttps://doi.org/10.1145/3757707openalex-snapshot

Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data

inferred← citeshttps://doi.org/10.1145/3772318.3791356openalex-snapshot

DALL: Data Labeling via Data Programming and Active Learning Enhanced by Large Language Models

inferred← citeshttps://doi.org/10.1145/3797953openalex-snapshot

De-Decay: Defusing Computer Vision Model Degradation through Scalable and Actionable Human-Data Alignment

inferred← citeshttps://doi.org/10.1162/qss_a_00144openalex-snapshot

“Garbage in, garbage out” revisited: What do machine learning application papers report about human-labeled training data?

inferred← citeshttps://doi.org/10.11648/j.ijics.20220702.11openalex-snapshot

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

inferred← citeshttps://doi.org/10.1177/1071181322661356openalex-snapshot

The DataScope: A Mixed-Initiative Architecture for Data Labeling

inferred← citeshttps://doi.org/10.1177/15553434221122899openalex-snapshot

Understanding Human Decision Processes: Inferring Decision Strategies From Behavioral Data

inferred← citeshttps://doi.org/10.1186/s12938-022-01001-xopenalex-snapshot

Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists

inferred← citeshttps://doi.org/10.1371/journal.pone.0347124openalex-snapshot

PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems

inferred← citeshttps://doi.org/10.14778/3407790.3407842openalex-snapshot

Detecting and preventing confused labels in crowdsourced data

inferred← citeshttps://doi.org/10.1515/9783111373096-015openalex-snapshot

279Chapter 14 Contending with ‘Ghost Work’: (In)visibility and (Mis)recognition of Skills in Data Work

inferred← citeshttps://doi.org/10.1515/9783111388588-008openalex-snapshot

139Chapter 8 Augmented realities: AI revolutionizing Industry 4.0 automation with IoT integration

inferred← citeshttps://doi.org/10.1609/aaai.v37i6.25840openalex-snapshot

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

inferred← citeshttps://doi.org/10.1609/hcomp.v5i1.13318openalex-snapshot

A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing

inferred← citeshttps://doi.org/10.1609/hcomp.v6i1.13330openalex-snapshot

Capturing Ambiguity in Crowdsourcing Frame Disambiguation

inferred← citeshttps://doi.org/10.1609/hcomp.v8i1.7474openalex-snapshot

Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study

inferred← citeshttps://doi.org/10.1609/hcomp.v9i1.18943openalex-snapshot

Human+AI Crowd Task Assignment Considering Result Quality Requirements

inferred← citeshttps://doi.org/10.17170/kobra-202004301196openalex-snapshot

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-demo.45openalex-snapshot

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents

inferred← citeshttps://doi.org/10.18653/v1/p19-1073openalex-snapshot

Errudite: Scalable, Reproducible, and Testable Error Analysis

inferred← citeshttps://doi.org/10.18725/oparu-43002openalex-snapshot

Classifier‐Guided Visual Correction of Noisy Labels for Image Classification Tasks

inferred← citeshttps://doi.org/10.2196/preprints.24790openalex-snapshot

Generating publicly available progress notes of authentic quality: A crowdsourcing-based approach (Preprint)

inferred← citeshttps://doi.org/10.2200/s00904ed1v01y201903icr066openalex-snapshot

The Practice of Crowdsourcing

inferred← citeshttps://doi.org/10.2308/isys-51978openalex-snapshot

The Use of Crowdsourcing and Social Media in Accounting Research

inferred← citeshttps://doi.org/10.30844/wi_2020_a1-knaebleopenalex-snapshot

Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning

inferred← citeshttps://doi.org/10.31799/1684-8853-2018-4-45-51openalex-snapshot

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

inferred← citeshttps://doi.org/10.3233/faia210007openalex-snapshot

SELM: Software Engineering of Machine Learning Models

inferred← citeshttps://doi.org/10.3233/sw-200415openalex-snapshot

Empirical methodology for crowdsourcing ground truth

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