Image de couverture de livre

Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Mortagua, Diana
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Human-Computer Interaction
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Cross-Modal Consistency-Guided Active Learning for Affective BCI Systems
par: Jang, Hyo-Jeong, et autres
Publié: (2025)

Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance
par: Marticorena, Dom CP, et autres
Publié: (2025)

Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
par: Xu, Yifan, et autres
Publié: (2024)

Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation
par: Opran, Tudor Matei, et autres
Publié: (2025)

Improving Human Sequential Decision-Making with Reinforcement Learning
par: Bastani, Hamsa, et autres
Publié: (2021)

PARIS: Personalized Activity Recommendation for Improving Sleep Quality
par: Singh, Meghna, et autres
Publié: (2021)

Active Inference and Human--Computer Interaction
par: Murray-Smith, Roderick, et autres
Publié: (2024)

SpiroActive: Active Learning for Efficient Data Acquisition for Spirometry
par: Jain, Ankita Kumari, et autres
Publié: (2024)

Revisiting Active Learning under (Human) Label Variation
par: Gruber, Cornelia, et autres
Publié: (2025)

On the Pros and Cons of Active Learning for Moral Preference Elicitation
par: Keswani, Vijay, et autres
Publié: (2024)

Improving Radiography Machine Learning Workflows via Metadata Management for Training Data Selection
par: Reid, Mirabel, et autres
Publié: (2024)

Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations
par: Karagappa, Apoorva, et autres
Publié: (2024)

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
par: Hong, Matt-Heun, et autres
Publié: (2024)

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
par: Huang, Yiran, et autres
Publié: (2024)

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
par: Gebreegziabher, Simret Araya, et autres
Publié: (2024)

Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
par: Tarun, Bhavishya, et autres
Publié: (2025)

Affective State Detection using fNIRs and Machine Learning
par: Ghosh, Ritam
Publié: (2024)

FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights
par: Li, Gaoxuan, et autres
Publié: (2024)

Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP
par: Sattiraju, Sriram, et autres
Publié: (2026)

Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
par: Rack, Christian, et autres
Publié: (2023)

Real-time classification of EEG signals using Machine Learning deployment
par: Chowdhuri, Swati, et autres
Publié: (2024)

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
par: Kaur, Kirandeep, et autres
Publié: (2024)

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
par: Jiang, Xiaowei, et autres
Publié: (2024)

Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
par: Martín-Urcelay, Belén, et autres
Publié: (2026)

Using Artificial Intelligence to Improve Classroom Learning Experience
par: Hossain, Shadeeb
Publié: (2025)

Improving prediction of students' performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
par: Chango, W., et autres
Publié: (2024)

Conformal Prediction Sets Improve Human Decision Making
par: Cresswell, Jesse C., et autres
Publié: (2024)

Leveraging Expert Consistency to Improve Algorithmic Decision Support
par: De-Arteaga, Maria, et autres
Publié: (2021)

Improving the Accessibility of Dating Websites for Individuals with Visual Impairments
par: Shrestha, Gyanendra, et autres
Publié: (2024)

Improving User Interface Generation Models from Designer Feedback
par: Wu, Jason, et autres
Publié: (2025)

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
par: Goren, Yaniv, et autres
Publié: (2025)

Can Conversational XAI Improve User Performance? An Experimental Study
par: Kruschel, Sven, et autres
Publié: (2026)

Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
par: McLaughlin, Bryce, et autres
Publié: (2024)

Interactive Design-of-Experiments: Optimizing a Cooling System
par: Splechtna, Rainer, et autres
Publié: (2024)

Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
par: Chung, Mu-Huan Miles, et autres
Publié: (2024)

ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
par: Hasan, Mahamudul
Publié: (2024)

Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations
par: Röber, Tabea E., et autres
Publié: (2026)

Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems
par: Yan, Jing Nathan, et autres
Publié: (2025)

Open-TeleVision: Teleoperation with Immersive Active Visual Feedback
par: Cheng, Xuxin, et autres
Publié: (2024)

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
par: Sun, Ruixuan, et autres
Publié: (2024)