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2022 JMLR JMLR 2022

Toolbox for Multimodal Learn (scikit-multimodallearn)

Abstract

scikit-multimodallearn is a Python library for multimodal supervised learning, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox (Fabian Pedregosa, 2011). This paper details the content of the library, including a specific multimodal data formatting and classification and regression algorithms. Use cases and examples are also provided. [abs] [ pdf ][ bib ] [ code ] © JMLR 2022. (edit, beta)

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Speech & Audio

Authors

Dominique Benielli , Baptiste Bauvin , Sokol Koço , Riikka Huusari , Cécile Capponi , Hachem Kadri , François Laviolette

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Regression Deep Learning > Learning Types > Multi-Modal Learning

Keywords

multimodal learning classification algorithm regression algorithm python library
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