GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration | ScienceToStartup | ScienceToStartup

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References (25)

[1]

Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification

2025Luyi Shi, Renguang Zuo

[2]

Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms

2025Mobin Saremi, A. Hezarkhani et al.

[3]

Anomaly Detection-Oriented Positive-Unlabeled Metric Learning for Extracting High-Dimensional Geochemical Anomalies Linked to Mineralization

Founder's Pitch

"GeoChemAD provides an open-source benchmark dataset and a transformer-based framework for unsupervised geochemical anomaly detection in mineral exploration."

Geochemical Anomaly Detection•Score: 7•View PDF ↗

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GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration

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References (25)

Founder's Pitch

"GeoChemAD provides an open-source benchmark dataset and a transformer-based framework for unsupervised geochemical anomaly detection in mineral exploration."

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GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration

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References (25)

Founder's Pitch

"GeoChemAD provides an open-source benchmark dataset and a transformer-based framework for unsupervised geochemical anomaly detection in mineral exploration."

Commercial Viability Breakdown

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