haico: human–AI collaboration
This repository contains the official implementation of Confidence-weighted integration of human and machine judgments for superior decision-making, part of the BrainGPT project.
Usage
To run the code, you need to clone and install this repository locally, e.g., in the command line, run:
git clone https://github.com/braingpt-lovelab/haico.git
cd haico
pip install -e .
Attribution
If you use haico consider citing our manuscript.
@article{YanezEtAl2026,
author = {Y{\'a}{\~n}ez, Felipe and Luo, Xiaoliang and Valerio Minero, Omar and Love, Bradley C.},
title = {Confidence-weighted integration of human and machine judgments for superior decision-making},
journal = {Patterns},
year = {2026},
volume = {7},
number = {2},
publisher = {Elsevier},
issn = {2666-3899},
doi = {10.1016/j.patter.2025.101423},
url = {https://doi.org/10.1016/j.patter.2025.101423}
}
1 maintainer
Metadata
1 maintainer
Release files for haico 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| haico-0.1.0.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| haico-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.3 kB
Release files / haico-0.1.0.tar.gz
| Download URL | haico-0.1.0.tar.gz |
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| Size | 9.3 kB |
| Tags | Source |
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| Size | 11.9 kB |
| Tags | Python 3 |
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| Uploaded via |
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