{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":518223407,"defaultBranch":"main","name":"mineral-exploration-machine-learning","ownerLogin":"RichardScottOZ","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2022-07-26T21:34:20.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/72196131?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1658871261.8113658","currentOid":""},"activityList":{"items":[{"before":"c3a5c15329a283e7702cf611a55b7d8143e770bc","after":"0777e00478a639cadb84ad7b6e8a39f8fbab50f6","ref":"refs/heads/main","pushedAt":"2024-09-21T00:02:26.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/RichardScottOZ/mineral-exploration-machine-learning","shortMessageHtmlLink":"Merge branch 'main' of <a href=\"https://github.com/RichardScottOZ/mineral-exploration-machine-learning\">https://github.com/RichardScottOZ/mineral-expl…</a>"}},{"before":"525e8359618d7e357e7b3986b04f9d77a709c5b1","after":"c3a5c15329a283e7702cf611a55b7d8143e770bc","ref":"refs/heads/main","pushedAt":"2024-09-12T00:31:57.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Geoprocessing with Python","shortMessageHtmlLink":"Geoprocessing with Python"}},{"before":"199f50fd5332f1e8c7a9e998bd3a9a7f9a83dd47","after":"525e8359618d7e357e7b3986b04f9d77a709c5b1","ref":"refs/heads/main","pushedAt":"2024-09-12T00:26:26.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"chat signup","shortMessageHtmlLink":"chat signup"}},{"before":"9d3b335d6ffb81cc35813a3f48ee6ffe40519325","after":"199f50fd5332f1e8c7a9e998bd3a9a7f9a83dd47","ref":"refs/heads/main","pushedAt":"2024-09-12T00:11:04.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"knowledge modelling for digital geology","shortMessageHtmlLink":"knowledge modelling for digital geology"}},{"before":"7c0bb9c8a383083d55ea5cd6cc7dd9d2c1c74822","after":"9d3b335d6ffb81cc35813a3f48ee6ffe40519325","ref":"refs/heads/main","pushedAt":"2024-09-12T00:07:35.000Z","pushType":"push","commitsCount":3,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"knowledge modelling for digital geology","shortMessageHtmlLink":"knowledge modelling for digital geology"}},{"before":"27fe901bc16c53aa4adf50b0f6f02df36902dfbf","after":"7c0bb9c8a383083d55ea5cd6cc7dd9d2c1c74822","ref":"refs/heads/main","pushedAt":"2024-09-07T23:29:20.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Improved mineral prospectivity mapping using graph neural networks","shortMessageHtmlLink":"Improved mineral prospectivity mapping using graph neural networks"}},{"before":"5b58a884d499d9b4e26b14544e172c1e6221bb01","after":"27fe901bc16c53aa4adf50b0f6f02df36902dfbf","ref":"refs/heads/main","pushedAt":"2024-09-07T02:07:47.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Uncertainty reduction with Hyperparameter Optimization in mineral prospectivity mapping: A Regularized Artificial Neural Network approach\t[UNSEEN]","shortMessageHtmlLink":"Uncertainty reduction with Hyperparameter Optimization in mineral pro…"}},{"before":"b2a970de711a3469d1109815cd79c7050c4c4a4d","after":"5b58a884d499d9b4e26b14544e172c1e6221bb01","ref":"refs/heads/main","pushedAt":"2024-09-07T02:01:41.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Machine learning based prospect targeting: A case of gold occurrence in central parts of Tanzania, East Africa","shortMessageHtmlLink":"Machine learning based prospect targeting: A case of gold occurrence …"}},{"before":"e5a880064e70b7cc3a65aafcd8f54c1a3c818767","after":"b2a970de711a3469d1109815cd79c7050c4c4a4d","ref":"refs/heads/main","pushedAt":"2024-09-07T01:54:17.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Quantifying uncertainty in 3D geophysical inverse problems: Advancing from deterministic to Bayesian and deep generative models","shortMessageHtmlLink":"Quantifying uncertainty in 3D geophysical inverse problems: Advancing…"}},{"before":"eead00eb02820b1a8aeaf90a5373c4e598740a1a","after":"e5a880064e70b7cc3a65aafcd8f54c1a3c818767","ref":"refs/heads/main","pushedAt":"2024-09-07T01:53:03.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Deep joint inversion of electromagnetic, seismic, and gravity data","shortMessageHtmlLink":"Deep joint inversion of electromagnetic, seismic, and gravity data"}},{"before":"819cef421fcb79cc0284da0fee486eb1fba08f78","after":"eead00eb02820b1a8aeaf90a5373c4e598740a1a","ref":"refs/heads/main","pushedAt":"2024-09-05T20:52:54.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Synergizing AI with Geology: Exploring VisionTransformers for Rock Classification","shortMessageHtmlLink":"Synergizing AI with Geology: Exploring VisionTransformers for Rock Cl…"}},{"before":"56642ddc169ec35c59eee35303cd91d427bdb3c0","after":"819cef421fcb79cc0284da0fee486eb1fba08f78","ref":"refs/heads/main","pushedAt":"2024-08-29T23:17:40.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements","shortMessageHtmlLink":"Multivariate statistical analysis and bespoke deviation network model…"}},{"before":"b178ad4bce9df8227864eaf2207d7d5743f59357","after":"56642ddc169ec35c59eee35303cd91d427bdb3c0","ref":"refs/heads/main","pushedAt":"2024-08-29T23:08:32.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Overcoming survival bias in targeting mineral deposits of the future: Towards null and negative tests of the exploration search space, accounting for lack of visibility","shortMessageHtmlLink":"Overcoming survival bias in targeting mineral deposits of the future:…"}},{"before":"6f5365c94bb9a5de256a33d03be852bba2da33e2","after":"b178ad4bce9df8227864eaf2207d7d5743f59357","ref":"refs/heads/main","pushedAt":"2024-08-29T23:05:54.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data","shortMessageHtmlLink":"Multi-view ensemble machine learning approach for 3D modeling using g…"}},{"before":"26e420459927d2464d18da213c9d624936acc15f","after":"6f5365c94bb9a5de256a33d03be852bba2da33e2","ref":"refs/heads/main","pushedAt":"2024-08-29T22:48:25.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"New insights into the metallogenic genesis of the Xiadian Au deposit, Jiaodong Peninsula, Eastern China: Constraints from integrated rutile in-situ geochemical analysis and machine learning discrimination","shortMessageHtmlLink":"New insights into the metallogenic genesis of the Xiadian Au deposit,…"}},{"before":"cabf46d8e401d82685b7dda5930bac709129d5d0","after":"26e420459927d2464d18da213c9d624936acc15f","ref":"refs/heads/main","pushedAt":"2024-08-29T22:43:17.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Interpretable SHAP Model Combining Meta-learning and Vision Transformer for Lithology Classification Using Limited and Unbalanced Drilling Data in Well Logging","shortMessageHtmlLink":"Interpretable SHAP Model Combining Meta-learning and Vision Transform…"}},{"before":"f9412ba5c81e29c2615bb604a0826b1c22e48acc","after":"cabf46d8e401d82685b7dda5930bac709129d5d0","ref":"refs/heads/main","pushedAt":"2024-08-26T06:09:11.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis","shortMessageHtmlLink":"Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision …"}},{"before":"611401af4c82892f15c20c7d4c623199334f309c","after":"f9412ba5c81e29c2615bb604a0826b1c22e48acc","ref":"refs/heads/main","pushedAt":"2024-08-23T22:38:22.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Inferring fault structures and overburden depth in 3D from geophysical data using machine learning algorithms – A case study on the Fenelon gold deposit, Quebec, Canada","shortMessageHtmlLink":"Inferring fault structures and overburden depth in 3D from geophysica…"}},{"before":"a5b97dd71aa6225a0c79423c49fe220b3f038395","after":"611401af4c82892f15c20c7d4c623199334f309c","ref":"refs/heads/main","pushedAt":"2024-08-23T22:34:51.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Interpretable SHAP Model Combining Meta-learning and Vision Transformer for Lithology Classification Using Limited and Unbalanced Drilling Data in Well Logging","shortMessageHtmlLink":"Interpretable SHAP Model Combining Meta-learning and Vision Transform…"}},{"before":"a5c84429c47ca032c889bb80e7d95388d50f495d","after":"a5b97dd71aa6225a0c79423c49fe220b3f038395","ref":"refs/heads/main","pushedAt":"2024-08-23T22:25:39.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Deep learning for spatiotemporal forecasting in Earth system science: a review","shortMessageHtmlLink":"Deep learning for spatiotemporal forecasting in Earth system science:…"}},{"before":"4839b2de934ef7f813a79f4b0564b596c34e436e","after":"a5c84429c47ca032c889bb80e7d95388d50f495d","ref":"refs/heads/main","pushedAt":"2024-08-23T07:38:54.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Geologically constrained unsupervised dual-branch deep learning algorithm for geochemical anomalies identification","shortMessageHtmlLink":"Geologically constrained unsupervised dual-branch deep learning algor…"}},{"before":"6d25e2c8c3f8f69dc5b39eecd9112566cd7434cb","after":"4839b2de934ef7f813a79f4b0564b596c34e436e","ref":"refs/heads/main","pushedAt":"2024-08-16T02:51:41.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Mapping","shortMessageHtmlLink":"Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Map…"}},{"before":"83d1da6f1ea0e521947257f0836e7bbbec7aa50e","after":"6d25e2c8c3f8f69dc5b39eecd9112566cd7434cb","ref":"refs/heads/main","pushedAt":"2024-08-16T00:48:04.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Mineral Reconnaissance Through Scientific Consensus: First National Prospectivity Maps for PGE–Ni–Cu–Cr and Witwatersrand-type Au Deposits in South Africa","shortMessageHtmlLink":"Mineral Reconnaissance Through Scientific Consensus: First National P…"}},{"before":"ba3437c989d19eae8a42c105fe2efd136edadd37","after":"83d1da6f1ea0e521947257f0836e7bbbec7aa50e","ref":"refs/heads/main","pushedAt":"2024-08-13T22:13:38.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Iron oxide copper-gold mineral potential maps","shortMessageHtmlLink":"Iron oxide copper-gold mineral potential maps"}},{"before":"d0fc0d694e6b8ac85a515f4d641a0a1b65fe3a4d","after":"ba3437c989d19eae8a42c105fe2efd136edadd37","ref":"refs/heads/main","pushedAt":"2024-08-13T22:05:29.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Australia layered geology 1M dataset/web serivces","shortMessageHtmlLink":"Australia layered geology 1M dataset/web serivces"}},{"before":"df30f83f681c1cd1657cdb74cadcb10a1d0c76dc","after":"d0fc0d694e6b8ac85a515f4d641a0a1b65fe3a4d","ref":"refs/heads/main","pushedAt":"2024-08-10T01:04:11.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Machine learning applied to apatite compositions for determining mineralization potential","shortMessageHtmlLink":"Machine learning applied to apatite compositions for determining mine…"}},{"before":"d965d8d3ece92a339cee4eac44565f21c9d73390","after":"df30f83f681c1cd1657cdb74cadcb10a1d0c76dc","ref":"refs/heads/main","pushedAt":"2024-08-09T02:44:42.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection","shortMessageHtmlLink":"MSNet: Self-Supervised Multiscale Network With Enhanced Separation Tr…"}},{"before":"6599fcd889172425e53f80bd7f92c51f6ed110be","after":"d965d8d3ece92a339cee4eac44565f21c9d73390","ref":"refs/heads/main","pushedAt":"2024-08-09T02:43:13.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Remote sensing data processing using convolutional neural networks for mapping alteration zones [UNSEEN]","shortMessageHtmlLink":"Remote sensing data processing using convolutional neural networks fo…"}},{"before":"fe83a7937e09bea693f1547f3c5c0508212ee93d","after":"6599fcd889172425e53f80bd7f92c51f6ed110be","ref":"refs/heads/main","pushedAt":"2024-08-09T02:41:10.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Geo-constrained clustering of resistivity data revealing the heterogeneous lithological architectures and the distinctive geoelectrical signature of shallow deposits","shortMessageHtmlLink":"Geo-constrained clustering of resistivity data revealing the heteroge…"}},{"before":"7b3899eabc152773c7f127ad9262308e93310f33","after":"fe83a7937e09bea693f1547f3c5c0508212ee93d","ref":"refs/heads/main","pushedAt":"2024-08-09T02:26:21.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"RichardScottOZ","name":null,"path":"/RichardScottOZ","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/72196131?s=80&v=4"},"commit":{"message":"Exploring Hybrid Contrastive Learning and Scene-to-Label Information for Multilabel Remote Sensing Image Classification [UNSEEN]","shortMessageHtmlLink":"Exploring Hybrid Contrastive Learning and Scene-to-Label Information …"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"Y3Vyc29yOnYyOpK7MjAyNC0wOS0yMVQwMDowMjoyNi4wMDAwMDBazwAAAAS8cySE","startCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wOS0yMVQwMDowMjoyNi4wMDAwMDBazwAAAAS8cySE","endCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wOC0wOVQwMjoyNjoyMS4wMDAwMDBazwAAAASV1VSU"}},"title":"Activity · RichardScottOZ/mineral-exploration-machine-learning"}