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An analysis of active learning strategies for sequence labeling tasks
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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/j.1538-7305.1948.tb00917.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/11871842_73openalex-snapshot
Revisiting Fisher Kernels for Document Similarities
inferredcites →https://doi.org/10.1007/3-540-44816-0_31openalex-snapshot
Active Hidden Markov Models for Information Extraction
inferredcites →https://doi.org/10.1007/978-94-017-2390-9_10openalex-snapshot
Text Chunking Using Transformation-Based Learning
inferredcites →https://doi.org/10.1016/0885-2308(90)90022-xopenalex-snapshot
The estimation of stochastic context-free grammars using the Inside-Outside algorithm
inferredcites →https://doi.org/10.1016/0885-2308(91)90009-fopenalex-snapshot
Applications of stochastic context-free grammars using the Inside-Outside algorithm
inferredcites →https://doi.org/10.1016/b978-0-08-051584-7.50027-9openalex-snapshot
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50026-xopenalex-snapshot
Heterogeneous Uncertainty Sampling for Supervised Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50027-xopenalex-snapshot
Committee-Based Sampling For Training Probabilistic Classifiers
inferredcites →https://doi.org/10.1023/a:1022673506211openalex-snapshot
Improving Generalization with Active Learning
inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
A tutorial on hidden Markov models and selected applications in speech recognition
inferredcites →https://doi.org/10.1109/icassp.1990.115542openalex-snapshot
The N-best algorithms: an efficient and exact procedure for finding the N most likely sentence hypotheses
inferredcites →https://doi.org/10.1162/0891201041850894openalex-snapshot
Sample Selection for Statistical Parsing
inferredcites →https://doi.org/10.1186/1471-2105-6-s1-s2openalex-snapshot
BioCreAtIvE Task 1A: gene mention finding evaluation
inferredcites →https://doi.org/10.21236/ada440382openalex-snapshot
Reducing Labeling Effort for Structured Prediction Tasks
inferredcites →https://doi.org/10.3115/1119176.1119195openalex-snapshot
Introduction to the CoNLL-2003 shared task
inferredcites →https://doi.org/10.3115/1567594.1567610openalex-snapshot
Introduction to the bio-entity recognition task at JNLPBA
inferredcites →https://doi.org/10.3115/1572392.1572430openalex-snapshot
Evaluating and combining biomedical named entity recognition systems
inferredcites →https://doi.org/10.3115/1614049.1614067openalex-snapshot
MMR-based active machine learning for bio named entity recognition
inferredcites →https://doi.org/10.3115/1614108.1614136openalex-snapshot
Efficient computation of entropy gradient for semi-supervised conditional random fields
inferredcites →https://doi.org/10.48550/arxiv.cs/0209010openalex-snapshot
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
inferredcites →https://doi.org/10.7551/mitpress/7432.003.0006openalex-snapshot
An Introduction to Conditional Random Fields for Relational Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Investigating the Consistency of Uncertainty Sampling in Deep Active Learning
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Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks
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Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis
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When Uncertainty-Based Active Learning May Fail?
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SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
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Semantic Mining of Social Networks
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Nuclear discrepancy for single-shot batch active learning
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Training data selection based on dataset distillation for rapid deployment in machine-learning workflows
inferred← citeshttps://doi.org/10.1007/s11063-021-10737-xopenalex-snapshot
LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition
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Weakly Supervised Object Detection Based on Active Learning
inferred← citeshttps://doi.org/10.1007/s11063-022-11089-wopenalex-snapshot
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously
inferred← citeshttps://doi.org/10.1007/s11063-023-11414-xopenalex-snapshot
Image Quality Assessment via Inter-class and Intra-class Differences for Efficient Classification
inferred← citeshttps://doi.org/10.1007/s11128-019-2460-xopenalex-snapshot
Quantum speedup for pool-based active learning
inferred← citeshttps://doi.org/10.1007/s11235-017-0339-7openalex-snapshot
Budget-constraint mechanism for incremental multi-labeling crowdsensing
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Person Re-identification in Identity Regression Space
inferred← citeshttps://doi.org/10.1007/s11263-023-01783-0openalex-snapshot
Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
inferred← citeshttps://doi.org/10.1007/s11263-023-01799-6openalex-snapshot
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
inferred← citeshttps://doi.org/10.1007/s11280-019-00758-xopenalex-snapshot
A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence
inferred← citeshttps://doi.org/10.1007/s11390-020-9487-4openalex-snapshot
Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey
inferred← citeshttps://doi.org/10.1007/s11416-024-00536-yopenalex-snapshot
Experts still needed: boosting long-term android malware detection with active learning
inferred← citeshttps://doi.org/10.1007/s11432-022-3548-2openalex-snapshot
Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces
inferred← citeshttps://doi.org/10.1007/s11517-020-02238-1openalex-snapshot
A weighted ensemble-based active learning model to label microarray data
inferred← citeshttps://doi.org/10.1007/s11548-024-03065-7openalex-snapshot
Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities
inferred← citeshttps://doi.org/10.1007/s11633-023-1420-1openalex-snapshot
Automatic Requirement Dependency Extraction Based on Integrated Active Learning Strategies
inferred← citeshttps://doi.org/10.1007/s11760-023-02915-2openalex-snapshot
Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects
inferred← citeshttps://doi.org/10.1007/s11831-024-10064-zopenalex-snapshot
Active Learning and Bayesian Optimization: A Unified Perspective to Learn with a Goal
inferred← citeshttps://doi.org/10.1007/s12021-018-9404-yopenalex-snapshot
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
inferred← citeshttps://doi.org/10.1007/s12530-017-9202-zopenalex-snapshot
Multi-label active learning: key issues and a novel query strategy
inferred← citeshttps://doi.org/10.1007/s12559-022-10003-9openalex-snapshot
Medical Named Entity Recognition Using Weakly Supervised Learning
inferred← citeshttps://doi.org/10.1007/s12650-019-00580-7openalex-snapshot
An interactive visual analytics approach for network anomaly detection through smart labeling
inferred← citeshttps://doi.org/10.1007/s13042-010-0003-yopenalex-snapshot
Margin-based active learning for structured predictions
inferred← citeshttps://doi.org/10.1007/s13042-014-0275-8openalex-snapshot
On active annotation for named entity recognition
inferred← citeshttps://doi.org/10.1007/s13748-021-00230-wopenalex-snapshot
Active learning approach using a modified least confidence sampling strategy for named entity recognition
inferred← citeshttps://doi.org/10.1007/s40979-021-00079-5openalex-snapshot
‘e’-thinking teaching and assessment to uphold academic integrity: lessons learned from emergency distance learning
inferred← citeshttps://doi.org/10.1007/s41060-025-00810-2openalex-snapshot
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
inferred← citeshttps://doi.org/10.1007/s42001-024-00266-7openalex-snapshot
Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition
inferred← citeshttps://doi.org/10.1007/s42835-022-01321-xopenalex-snapshot
Proxy Data Generation for Fast and Efficient Neural Architecture Search
inferred← citeshttps://doi.org/10.1007/s42979-023-02061-zopenalex-snapshot
Fine-Tuning Transformer-Based Representations in Active Learning for Labelling Crisis Dataset of Tweets
inferred← citeshttps://doi.org/10.1016/b978-0-12-809633-8.20463-9openalex-snapshot
Natural Language Processing Approaches in Bioinformatics
inferred← citeshttps://doi.org/10.1016/b978-0-12-814391-9.00002-9openalex-snapshot
Artificial intelligence in agriculture
inferred← citeshttps://doi.org/10.1016/b978-0-323-95502-7.00179-2openalex-snapshot
Natural Language Processing Approaches in Bioinformatics
inferred← citeshttps://doi.org/10.1016/j.aej.2026.09.006openalex-snapshot
One-shot active learning via layer-wise prototypical contrast for skeleton-based action recognition in class-imbalanced scenarios
inferred← citeshttps://doi.org/10.1016/j.aiopen.2023.08.005openalex-snapshot
AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.annale.2026.100227openalex-snapshot
Man vs machine: The efficacy of experience-based pricing strategies in hotel revenue management using active learning with machine learning
inferred← citeshttps://doi.org/10.1016/j.apenergy.2023.121753openalex-snapshot
Explainable district heat load forecasting with active deep learning
inferred← citeshttps://doi.org/10.1016/j.array.2025.100584openalex-snapshot
Enhancing active learning through latent space exploration: A k-nearest neighbors approach
inferred← citeshttps://doi.org/10.1016/j.artint.2025.104439openalex-snapshot
Contra2: A one-step active learning method for imbalanced graphs
inferred← citeshttps://doi.org/10.1016/j.artmed.2020.101805openalex-snapshot
Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.05.041openalex-snapshot
RETRACTED: UFuzzy: Fuzzy Models with Universum
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.06.008openalex-snapshot
Summit-Training: A hybrid Semi-Supervised technique and its application to classification tasks
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110234openalex-snapshot
Surrogate approach to uncertainty quantification of neural networks for regression
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106493openalex-snapshot
Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework
inferred← citeshttps://doi.org/10.1016/j.cag.2015.07.023openalex-snapshot
Active learning for sketch recognition
inferred← citeshttps://doi.org/10.1016/j.chemolab.2017.11.012openalex-snapshot
Active learning algorithm can establish classifier of blueberry damage with very small training dataset using hyperspectral transmittance data
inferred← citeshttps://doi.org/10.1016/j.cmpb.2016.01.014openalex-snapshot
Active learning based segmentation of Crohns disease from abdominal MRI
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2016.11.015openalex-snapshot
A comparison study on active learning integrated ensemble approaches in sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.04.007openalex-snapshot
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays
inferred← citeshttps://doi.org/10.1016/j.displa.2023.102434openalex-snapshot
Active learning with effective scoring functions for semi-supervised temporal action localization
inferred← citeshttps://doi.org/10.1016/j.ejmp.2020.11.005openalex-snapshot
Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115498openalex-snapshot
Warm starting Gaussian processes for efficient electrical characterization of semiconductors
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.08.032openalex-snapshot
Regression with re-labeling for noisy data
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113403openalex-snapshot
Interactive example-based finding of text items
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114914openalex-snapshot
Application of active learning in DNA microarray data for cancerous gene identification
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115429openalex-snapshot
Active cluster annotation for wafer map pattern classification in semiconductor manufacturing
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118228openalex-snapshot
A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123320openalex-snapshot
A meta-active learning approach exploiting instance importance
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123849openalex-snapshot
Similarity-based active learning methods
inferred← citeshttps://doi.org/10.1016/j.future.2022.10.024openalex-snapshot
On the application of active learning for efficient and effective IoT botnet detection
inferred← citeshttps://doi.org/10.1016/j.future.2023.09.029openalex-snapshot
Multiclass autoencoder-based active learning for sensor-based human activity recognition
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