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Machine learning from crowds: A systematic review of its applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/joc.4210openalex-snapshot
Crowdsourcing for climate and atmospheric sciences: current status and future potential
inferredcites →https://doi.org/10.1002/widm.1187openalex-snapshot
Educational data science in massive open online courses
inferredcites →https://doi.org/10.1007/11744078_23openalex-snapshot
Studying Aesthetics in Photographic Images Using a Computational Approach
inferredcites →https://doi.org/10.1007/978-3-030-03493-1_81openalex-snapshot
CGLAD: Using GLAD in Crowdsourced Large Datasets
inferredcites →https://doi.org/10.1007/978-3-319-00035-0_13openalex-snapshot
Sentiment Analysis of Online Media
inferredcites →https://doi.org/10.1007/978-3-319-08491-6_5openalex-snapshot
Emotion Recognition and Its Applications
inferredcites →https://doi.org/10.1007/978-3-319-13692-9_13openalex-snapshot
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-38884-7_13openalex-snapshot
The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods
inferredcites →https://doi.org/10.1007/978-3-319-46976-8_24openalex-snapshot
Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation
inferredcites →https://doi.org/10.1007/978-3-319-57021-1_18openalex-snapshot
Robust Online Gesture Recognition with Crowdsourced Annotations
inferredcites →https://doi.org/10.1007/978-3-319-69900-4_82openalex-snapshot
Structured Prediction of Music Mood with Twin Gaussian Processes
inferredcites →https://doi.org/10.1007/978-3-642-18421-5_8openalex-snapshot
Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations
inferredcites →https://doi.org/10.1007/978-3-642-24443-8_20openalex-snapshot
Get Your Jokes Right: Ask the Crowd
inferredcites →https://doi.org/10.1007/978-3-642-36415-0_9openalex-snapshot
An Introduction to Crowdsourcing for Language and Multimedia Technology Research
inferredcites →https://doi.org/10.1007/978-3-642-40763-5_29openalex-snapshot
Learning from Multiple Experts with Random Forests: Application to the Segmentation of the Midbrain in 3D Ultrasound
inferredcites →https://doi.org/10.1007/s00778-017-0462-9openalex-snapshot
Argument discovery via crowdsourcing
inferredcites →https://doi.org/10.1007/s10439-013-0964-6openalex-snapshot
Crowd-Sourced Annotation of ECG Signals Using Contextual Information
inferredcites →https://doi.org/10.1007/s10439-015-1344-1openalex-snapshot
Fusing Continuous-Valued Medical Labels Using a Bayesian Model
inferredcites →https://doi.org/10.1007/s10462-016-9491-9openalex-snapshot
Learning from crowdsourced labeled data: a survey
inferredcites →https://doi.org/10.1007/s10579-012-9188-xopenalex-snapshot
Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations
inferredcites →https://doi.org/10.1007/s10994-013-5411-2openalex-snapshot
Sequence labeling with multiple annotators
inferredcites →https://doi.org/10.1007/s11263-014-0721-9openalex-snapshot
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
inferredcites →https://doi.org/10.1007/s11263-018-1065-7openalex-snapshot
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)
inferredcites →https://doi.org/10.1007/s11390-017-1769-0openalex-snapshot
Crowd-Guided Entity Matching with Consolidated Textual Data
inferredcites →https://doi.org/10.1007/s11390-017-1770-7openalex-snapshot
Improving the Quality of Crowdsourced Image Labeling via Label Similarity
inferredcites →https://doi.org/10.1007/s11704-015-4409-2openalex-snapshot
Source code fragment summarization with small-scale crowdsourcing based features
inferredcites →https://doi.org/10.1016/j.artint.2015.09.010openalex-snapshot
Semi-supervised combination of experts for aerosol optical depth estimation
inferredcites →https://doi.org/10.1016/j.artmed.2014.12.010openalex-snapshot
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
inferredcites →https://doi.org/10.1016/j.asoc.2017.10.047openalex-snapshot
Learning to classify software defects from crowds: A novel approach
inferredcites →https://doi.org/10.1016/j.comnet.2015.07.008openalex-snapshot
On the impact of knowledge extraction and aggregation on crowdsourced annotation of visual artworks
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.03.004openalex-snapshot
Gold-standard for computer-assisted morphological sperm analysis
inferredcites →https://doi.org/10.1016/j.cviu.2013.06.009openalex-snapshot
Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study
inferredcites →https://doi.org/10.1016/j.cviu.2016.02.001openalex-snapshot
Crowdsourcing facial expressions for affective-interaction
inferredcites →https://doi.org/10.1016/j.eswa.2007.10.005openalex-snapshot
Neural networks and statistical techniques: A review of applications
inferredcites →https://doi.org/10.1016/j.future.2018.05.005openalex-snapshot
A crowdsourcing-based topic model for service matchmaking in Internet of Things
inferredcites →https://doi.org/10.1016/j.ins.2018.05.050openalex-snapshot
Context-aware result inference in crowdsourcing
inferredcites →https://doi.org/10.1016/j.jbi.2015.05.011openalex-snapshot
A weighted rule based method for predicting malignancy of pulmonary nodules by nodule characteristics
inferredcites →https://doi.org/10.1016/j.jbi.2017.02.004openalex-snapshot
Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules
inferredcites →https://doi.org/10.1016/j.jnca.2015.09.008openalex-snapshot
Applications of wireless sensor networks for urban areas: A survey
inferredcites →https://doi.org/10.1016/j.jss.2016.09.015openalex-snapshot
A survey of the use of crowdsourcing in software engineering
inferredcites →https://doi.org/10.1016/j.media.2012.02.005openalex-snapshot
Machine learning and radiology
inferredcites →https://doi.org/10.1016/j.media.2016.06.032openalex-snapshot
Machine learning approaches in medical image analysis: From detection to diagnosis
inferredcites →https://doi.org/10.1016/j.patcog.2013.11.025openalex-snapshot
Spontaneous facial expression recognition: A robust metric learning approach
inferredcites →https://doi.org/10.1016/j.ymeth.2015.01.015openalex-snapshot
Application of text mining in the biomedical domain
inferredcites →https://doi.org/10.1038/nrn3444openalex-snapshot
New insights into the classification and nomenclature of cortical GABAergic interneurons
inferredcites →https://doi.org/10.1088/1361-6579/aac856openalex-snapshot
Bayesian fusion of physiological measurements using a signal quality extension
inferredcites →https://doi.org/10.1093/bioinformatics/btt333openalex-snapshot
Crowdsourcing for bioinformatics
inferredcites →https://doi.org/10.1093/database/bav016openalex-snapshot
Scaling drug indication curation through crowdsourcing
inferredcites →https://doi.org/10.1093/jamia/ocx053openalex-snapshot
Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach
inferredcites →https://doi.org/10.1109/acssc.2016.7869163openalex-snapshot
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners
inferredcites →https://doi.org/10.1109/bigdata.2016.7840723openalex-snapshot
Learning large-scale plantation mapping from imperfect annotators
inferredcites →https://doi.org/10.1109/bigdata.2016.7840963openalex-snapshot
Leveraging user expertise in collaborative systems for annotating energy datasets
inferredcites →https://doi.org/10.1109/cgc.2013.66openalex-snapshot
Automatic Extraction of Personal Experiences from Patients' Blogs: A Case Study in Chronic Obstructive Pulmonary Disease
inferredcites →https://doi.org/10.1109/comst.2014.2387836openalex-snapshot
A Survey of Incentive Mechanisms for Participatory Sensing
inferredcites →https://doi.org/10.1109/cvprw.2016.174openalex-snapshot
ICORD: Intelligent Collection of Redundant Data — A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently
inferredcites →https://doi.org/10.1109/cvprw.2017.109openalex-snapshot
Crowdsourcing for Chromosome Segmentation and Deep Classification
inferredcites →https://doi.org/10.1109/embc.2015.7318980openalex-snapshot
Sleep spindle detection using deep learning: A validation study based on crowdsourcing
inferredcites →https://doi.org/10.1109/embc.2015.7319793openalex-snapshot
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram
inferredcites →https://doi.org/10.1109/embc.2015.7319817openalex-snapshot
Automatic assessment of voice quality in the context of multiple annotations
inferredcites →https://doi.org/10.1109/fg.2011.5771339openalex-snapshot
Exploiting observers' judgements for nonverbal group interaction analysis
inferredcites →https://doi.org/10.1109/fg.2018.00033openalex-snapshot
Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition
inferredcites →https://doi.org/10.1109/icassp.2017.7953284openalex-snapshot
On classification of environmental acoustic data using crowds
inferredcites →https://doi.org/10.1109/icde.2016.7498229openalex-snapshot
Crowdsourced POI labelling: Location-aware result inference and Task Assignment
inferredcites →https://doi.org/10.1109/icdm.2012.64openalex-snapshot
Self-Taught Active Learning from Crowds
inferredcites →https://doi.org/10.1109/icip.2015.7351606openalex-snapshot
Quality control in crowdsourced object segmentation
inferredcites →https://doi.org/10.1109/icnlsp.2018.8374371openalex-snapshot
Arabic dialects annotation using an online game
inferredcites →https://doi.org/10.1109/icra.2014.6907558openalex-snapshot
Accelerating imitation learning through crowdsourcing
inferredcites →https://doi.org/10.1109/icse-seip.2017.8openalex-snapshot
Domain Adaptation for Test Report Classification in Crowdsourced Testing
inferredcites →https://doi.org/10.1109/igarss.2014.6947563openalex-snapshot
Accuracy assessment of game-based crowdsourced land-use/land cover image classification
inferredcites →https://doi.org/10.1109/jbhi.2015.2458274openalex-snapshot
Human Activity Recognition by Combining a Small Number of Classifiers
inferredcites →https://doi.org/10.1109/jbhi.2017.2741501openalex-snapshot
Optimal Classification of Respiratory Patterns From Manual Analyses Using Expectation-Maximization
inferredcites →https://doi.org/10.1109/jstars.2016.2616120openalex-snapshot
Mapping Human Settlements and Population at Country Scale From VHR Images
inferredcites →https://doi.org/10.1109/socialcom.2013.155openalex-snapshot
Automatic Crowdsourcing-Based Classification of Marketing Messaging on Twitter
inferredcites →https://doi.org/10.1109/tasl.2013.2280218openalex-snapshot
Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy
inferredcites →https://doi.org/10.1109/tciaig.2014.2335273openalex-snapshot
Learning-Based Procedural Content Generation
inferredcites →https://doi.org/10.1109/tcyb.2014.2344674openalex-snapshot
Active Learning With Imbalanced Multiple Noisy Labeling
inferredcites →https://doi.org/10.1109/tifs.2017.2721099openalex-snapshot
Latent Fingerprint Value Prediction: Crowd-Based Learning
inferredcites →https://doi.org/10.1109/tifs.2018.2833292openalex-snapshot
Statistical Estimation of Malware Detection Metrics in the Absence of Ground Truth
inferredcites →https://doi.org/10.1109/tits.2010.2048313openalex-snapshot
A Review of the Applications of Agent Technology in Traffic and Transportation Systems
inferredcites →https://doi.org/10.1109/tkde.2015.2504928openalex-snapshot
Truth Discovery in Crowdsourced Detection of Spatial Events
inferredcites →https://doi.org/10.1109/tkde.2016.2518669openalex-snapshot
Challenges in Data Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2016.2535242openalex-snapshot
Crowdsourced Data Management: A Survey
inferredcites →https://doi.org/10.1109/tkde.2016.2555805openalex-snapshot
A Survey of General-Purpose Crowdsourcing Techniques
inferredcites →https://doi.org/10.1109/tmc.2016.2546900openalex-snapshot
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks
inferredcites →https://doi.org/10.1109/tmi.2016.2528120openalex-snapshot
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
inferredcites →https://doi.org/10.1109/tmm.2013.2241043openalex-snapshot
Crowdsourcing Multimedia QoE Evaluation: A Trusted Framework
inferredcites →https://doi.org/10.1109/tmm.2013.2261481openalex-snapshot
Learning Crowdsourced User Preferences for Visual Summarization of Image Collections
inferredcites →https://doi.org/10.1109/tmm.2016.2619901openalex-snapshot
Detecting Low-Quality Workers in QoE Crowdtesting: A Worker Behavior-Based Approach
inferredcites →https://doi.org/10.1109/tmm.2017.2653763openalex-snapshot
Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach
inferredcites →https://doi.org/10.1109/tmm.2017.2755985openalex-snapshot
Maya Codical Glyph Segmentation: A Crowdsourcing Approach
inferredcites →https://doi.org/10.1109/tmm.2017.2763780openalex-snapshot
Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models
inferredcites →https://doi.org/10.1109/tpami.2014.16openalex-snapshot
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations
inferredcites →https://doi.org/10.1109/tpami.2017.2648786openalex-snapshot
Learning Supervised Topic Models for Classification and Regression from Crowds
inferredcites →https://doi.org/10.1109/tsmcc.2012.2198883openalex-snapshot
Sensor-Based Activity Recognition
inferredcites →https://doi.org/10.1111/cogs.12561openalex-snapshot
A Model‐Based Approach to the Wisdom of the Crowd in Category Learning
inferredcites →https://doi.org/10.1126/science.aaa8685openalex-snapshot
Advances in natural language processing
inferredcites →https://doi.org/10.1142/9789814644730_0031openalex-snapshot
REFINING LITERATURE CURATED PROTEIN INTERACTIONS USING EXPERT OPINIONS
inferredcites →https://doi.org/10.1145/1557019.1557053openalex-snapshot
Efficiently learning the accuracy of labeling sources for selective sampling
inferredcites →https://doi.org/10.1145/2396761.2398554openalex-snapshot
Map to humans and reduce error
inferredcites →https://doi.org/10.1145/2461466.2461508openalex-snapshot
Tagging human activities in video by crowdsourcing
inferredcites →https://doi.org/10.1145/2578726.2578779openalex-snapshot
Robust aggregation of GWAP tracks for local image annotation
inferredcites →https://doi.org/10.1145/2600428.2609589openalex-snapshot
Circumlocution in diagnostic medical queries
inferredcites →https://doi.org/10.1145/2623330.2623654openalex-snapshot
Methods for ordinal peer grading
inferredcites →https://doi.org/10.1145/2756406.2756910openalex-snapshot
Multi-Emotion Estimation in Narratives from Crowdsourced Annotations
inferredcites →https://doi.org/10.1145/2897369openalex-snapshot
Crowdsourcing Empathetic Intelligence
inferredcites →https://doi.org/10.1145/3097983.3098129openalex-snapshot
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources
inferredcites →https://doi.org/10.1145/3126973.3129307openalex-snapshot
Efficient Crowd-Powered Active Learning for Reliable Review Evaluation
inferredcites →https://doi.org/10.1145/3152889openalex-snapshot
Crowdsourcing Ground Truth for Medical Relation Extraction
inferredcites →https://doi.org/10.1145/3178876.3186033openalex-snapshot
Leveraging Crowdsourcing Data for Deep Active Learning An Application
inferredcites →https://doi.org/10.1155/2018/6920679openalex-snapshot
Automatic Task Classification via Support Vector Machine and Crowdsourcing
inferredcites →https://doi.org/10.1179/1743277413y.0000000070openalex-snapshot
Accurate Attribute Mapping from Volunteered Geographic Information: Issues of Volunteer Quantity and Quality
inferredcites →https://doi.org/10.1186/1471-2105-12-s3-s5openalex-snapshot
Improving a gold standard: treating human relevance judgments of MEDLINE document pairs
inferredcites →https://doi.org/10.1186/1471-2105-12-s8-s2openalex-snapshot
The gene normalization task in BioCreative III
inferredcites →https://doi.org/10.1186/s12859-015-0844-1openalex-snapshot
Weakly supervised learning of biomedical information extraction from curated data
inferredcites →https://doi.org/10.1186/s12859-016-0925-9openalex-snapshot
Erratum to: Weakly supervised learning of biomedical information extraction from curated data
inferredcites →https://doi.org/10.1371/journal.pone.0046192openalex-snapshot
A Mathematical Framework for Combining Decisions of Multiple Experts toward Accurate and Remote Diagnosis of Malaria Using Tele-Microscopy
inferredcites →https://doi.org/10.1371/journal.pone.0071154openalex-snapshot
Crowdsourcing as a Novel Technique for Retinal Fundus Photography Classification: Analysis of Images in the EPIC Norfolk Cohort on Behalf of the UKBiobank Eye and Vision Consortium
inferredcites →https://doi.org/10.1371/journal.pone.0156527openalex-snapshot
Crowdsourcing the Measurement of Interstate Conflict
inferredcites →https://doi.org/10.14778/3055540.3055547openalex-snapshot
Truth inference in crowdsourcing
inferredcites →https://doi.org/10.14778/3137628.3137662openalex-snapshot
Truth discovery for spatio-temporal events from crowdsourced data
inferredcites →https://doi.org/10.1609/aaai.v27i1.8465openalex-snapshot
Hotspotting — A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing
inferredcites →https://doi.org/10.1609/aaai.v29i1.9667openalex-snapshot
Crowdsourced Action-Model Acquisition for Planning
inferredcites →https://doi.org/10.1609/aaai.v31i1.10631openalex-snapshot
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading
inferredcites →https://doi.org/10.1609/aaai.v31i1.10716openalex-snapshot
Learning Attributes from the Crowdsourced Relative Labels
inferredcites →https://doi.org/10.1609/hcomp.v3i1.13221openalex-snapshot
Learning Supervised Topic Models from Crowds
inferredcites →https://doi.org/10.1613/jair.5371openalex-snapshot
Learning Discrete Bayesian Networks from Continuous Data
inferredcites →https://doi.org/10.1631/fitee.1601835openalex-snapshot
Disambiguating named entities with deep supervised learning via crowd labels
inferredcites →https://doi.org/10.1631/fitee.1601859openalex-snapshot
Crowd intelligence in AI 2.0 era
inferredcites →https://doi.org/10.18653/v1/d15-1261openalex-snapshot
Estimation of Discourse Segmentation Labels from Crowd Data
inferredcites →https://doi.org/10.18653/v1/p17-1028openalex-snapshot
Aggregating and Predicting Sequence Labels from Crowd Annotations
inferredcites →https://doi.org/10.21437/interspeech.2017-406openalex-snapshot
Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World
inferredcites →https://doi.org/10.2196/jmir.2338openalex-snapshot
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
inferredcites →https://doi.org/10.2196/jmir.7984openalex-snapshot
Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument
inferredcites →https://doi.org/10.3115/v1/e14-1030openalex-snapshot
Identifying fake Amazon reviews as learning from crowds
inferredcites →https://doi.org/10.3115/v1/p14-2062openalex-snapshot
Experiments with crowdsourced re-annotation of a POS tagging data set
inferredcites →https://doi.org/10.3233/978-1-60750-606-5-145openalex-snapshot
Using Crowdsourcing and Active Learning to Track Sentiment in Online Media
inferredcites →https://doi.org/10.3389/fmars.2017.00082openalex-snapshot
A Tale of Two Crowds: Public Engagement in Plankton Classification
inferredcites →https://doi.org/10.3414/me13-01-0081openalex-snapshot
Analysis of Underlying Causes of Inter-expert Disagreement in Retinopathy of Prematurity Diagnosis
inferredcites →https://doi.org/10.4230/lipics.cosit.2017.19openalex-snapshot
A Crowdsourced Model of Landscape Preference
inferredcites →https://doi.org/10.48550/arxiv.1206.6386openalex-snapshot
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
inferredcites →https://doi.org/10.48550/arxiv.1704.07506openalex-snapshot
Some Like it Hoax: Automated Fake News Detection in Social Networks
inferredcites →https://doi.org/10.5555/2627435.2697067openalex-snapshot
Robust online gesture recognition with crowdsourced annotations
inferredcites →https://doi.org/10.5555/2772879.2772901openalex-snapshot
Improving the Performance of Mobile Phone Crowdsourcing Applications
inferredcites →https://doi.org/10.63317/5hkjhb55y5p5openalex-snapshot
Introducing the Weighted Trustability Evaluator for Crowdsourcing Exemplified by Speaker Likability Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70037openalex-snapshot
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-031-05347-4_14openalex-snapshot
Machine Learning Based Software Defect Categorization Using Crowd Labeling
inferred← citeshttps://doi.org/10.1007/s10115-022-01743-zopenalex-snapshot
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels
inferred← citeshttps://doi.org/10.1007/s13748-019-00189-9openalex-snapshot
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.045openalex-snapshot
Learning from multiple inconsistent and dependent annotators to support classification tasks
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.103863openalex-snapshot
Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes
inferred← citeshttps://doi.org/10.1108/k-09-2020-0604openalex-snapshot
A comprehensive literature review on the medical learning systems in the developing countries
inferred← citeshttps://doi.org/10.1108/lht-07-2021-0242openalex-snapshot
Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education
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/smc58881.2025.11342765openalex-snapshot
Unlocking Crowdsourcing in Technology Foresight: a Rapid Review
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3116943openalex-snapshot
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators
inferred← citeshttps://doi.org/10.21203/rs.3.rs-713655/v1openalex-snapshot
Automated Screener Based on Convolutional Neural Network for Randomized Controlled Trials in Chinese Language: A Comparative Study of Different Classification Strategies
inferred← citeshttps://doi.org/10.3390/app11125409openalex-snapshot
Regularized Chained Deep Neural Network Classifier for Multiple Annotators
inferred← citeshttps://doi.org/10.3390/s23073518openalex-snapshot
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification
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