Cover Image

Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Savage, Tom, Chanona, Ehecatl Antonio del Rio
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human-LLM Collaborative Feature Engineering for Tabular Data
by: Li, Zhuoyan, et al.
Published: (2026)

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information
by: Spitzer, Philipp, et al.
Published: (2024)

Social and Physical Attributes-Defined Trust Evaluation for Effective Collaborator Selection in Human-Device Coexistence Systems
by: Zhu, Botao, et al.
Published: (2025)

Looping in the Human Collaborative and Explainable Bayesian Optimization
by: Adachi, Masaki, et al.
Published: (2023)

Optimizing Delegation in Collaborative Human-AI Hybrid Teams
by: Fuchs, Andrew, et al.
Published: (2024)

Cost-Aware Bayesian Optimization for Prototyping Interactive Devices
by: Langerak, Thomas, et al.
Published: (2026)

Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Task
by: Savur, Celal, et al.
Published: (2023)

Extended Reality for Enhanced Human-Robot Collaboration: a Human-in-the-Loop Approach
by: Karpichev, Yehor, et al.
Published: (2024)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
by: Mozannar, Hussein, et al.
Published: (2023)

A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
by: Tariq, Shahroz, et al.
Published: (2024)

Preferential Multi-Objective Bayesian Optimization for Drug Discovery
by: Dang, Tai, et al.
Published: (2025)

Human-AI Collaborative Uncertainty Quantification
by: Noorani, Sima, et al.
Published: (2025)

The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams
by: Baker, Christopher, et al.
Published: (2026)

Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
by: McLaughlin, Bryce, et al.
Published: (2024)

HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
by: Jiang, Haoran, et al.
Published: (2025)

Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
by: Tarun, Bhavishya, et al.
Published: (2025)

Human Expertise in Algorithmic Prediction
by: Alur, Rohan, et al.
Published: (2024)

Interactive Design-of-Experiments: Optimizing a Cooling System
by: Splechtna, Rainer, et al.
Published: (2024)

On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
by: Yu, Guanghui, et al.
Published: (2024)

A No Free Lunch Theorem for Human-AI Collaboration
by: Peng, Kenny, et al.
Published: (2024)

MedSyn: Enhancing Diagnostics with Human-AI Collaboration
by: Sayin, Burcu, et al.
Published: (2025)

Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP
by: Sattiraju, Sriram, et al.
Published: (2026)

Bayesian Distributional Models of Executive Functioning
by: Kasumba, Robert, et al.
Published: (2025)

Human-Computer Interaction and Human-AI Collaboration in Advanced Air Mobility: A Comprehensive Review
by: Sagirli, Fatma Yamac, et al.
Published: (2024)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
by: Gambetti, Alessandro, et al.
Published: (2025)

A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
by: Jamalifard, Mohammadreza, et al.
Published: (2026)

Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration
by: Amin, Hasan, et al.
Published: (2026)

ML Mule: Mobile-Driven Context-Aware Collaborative Learning
by: Yu, Haoxiang, et al.
Published: (2025)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
by: He, Jinghai, et al.
Published: (2024)

Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making
by: Lee, Min Hun, et al.
Published: (2025)

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
by: Wang, Tianfu, et al.
Published: (2026)

Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
by: Göksu, Yasemin, et al.
Published: (2024)

Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance
by: Marticorena, Dom CP, et al.
Published: (2025)

Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement
by: Feith, Nikolaus, et al.
Published: (2024)

Leveraging Expert Consistency to Improve Algorithmic Decision Support
by: De-Arteaga, Maria, et al.
Published: (2021)

Active Inference and Human--Computer Interaction
by: Murray-Smith, Roderick, et al.
Published: (2024)

Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
by: Lee, Min Hun, et al.
Published: (2024)

Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes
by: Parasurama, Prasanna, et al.
Published: (2025)

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment
by: Wang, Fei, et al.
Published: (2024)

An Analysis of Human Alignment of Latent Diffusion Models
by: Linhardt, Lorenz, et al.
Published: (2024)