#explainable — Public Fediverse posts

Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
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https://openscholar.uga.edu/record/26998/files/Zhang_uga_0077E_16145.pdf <-- shared technical publication / dissertation
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https://www.aag.org/award-grant/william-l-garrison-award-for-best-dissertation-in-computational-geography/ <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
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[again, way outside any expertise I might have, but fascinating spatial analysis use case…]
H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
“[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
#explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
--
https://openscholar.uga.edu/record/26998/files/Zhang_uga_0077E_16145.pdf <-- shared technical publication / dissertation
--
https://www.aag.org/award-grant/william-l-garrison-award-for-best-dissertation-in-computational-geography/ <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
--
[again, way outside any expertise I might have, but fascinating spatial analysis use case…]
H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
“[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
#explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

Here is a nice paper on how to #identify #winning strategies using #explainable #MachineLearning in #TeamSports, with a special emphasis on #rugby.

A machine learning and explainability-driven methodology for identifying winning strategies in Rugby Union

https://www.sciencedirect.com/science/article/pii/S2772662225000244

Explainable AI: Thinking Like a Machine | by Joseph George Lewis | Towards AI

https://pub.towardsai.net/explainable-ai-thinking-like-a-machine-e40fc77949ac

#ExplainableAI #ethics #ethicalai
#Machine #Interpretable #Explainable #XAI #technology

Explainable AI: Thinking Like a Machine | by Joseph George Lewis | Towards AI

https://pub.towardsai.net/explainable-ai-thinking-like-a-machine-e40fc77949ac

#ExplainableAI #ethics #ethicalai
#Machine #Interpretable #Explainable #XAI #technology

Explainable AI: Thinking Like a Machine | by Joseph George Lewis | Towards AI

https://pub.towardsai.net/explainable-ai-thinking-like-a-machine-e40fc77949ac

#ExplainableAI #ethics #ethicalai
#Machine #Interpretable #Explainable #XAI #technology

When using #machinelearning for tasks in #geosciences, you should aim for #interpretability! Why this is the case and how to go about it is the topic of a brand-new article in the open access journal "Earth's Future" by Shijie Jiang and an interdisciplinary group of colleagues. Check it out!

https://doi.org/10.1029/2024EF004540

#Explainable #AI #XAI

Happy to announce our latest #preprint short paper 📝:
"Towards #eXplainable #AI for #MobilityDataScience"
https://arxiv.org/abs/2307.08461

I'd love to hear your thoughts and experiences with #XAI in #SpatialDataScience

#GISchat

Happy to announce our latest #preprint short paper 📝:
"Towards #eXplainable #AI for #MobilityDataScience"
https://arxiv.org/abs/2307.08461

I'd love to hear your thoughts and experiences with #XAI in #SpatialDataScience

#GISchat

@AmiW Although the message is clear, I think that it would not have needed such a "#provocation" / somehow different, "compatible", could have been implemented satisfactorily. Photography should also as art still remain (technically) "#explainable". Especially in times where we are already overchallenged with clumsy falsifications by #AI. I find myself abused in my sensations, at least "used", when I see something different than I expect.

@AmiW Although the message is clear, I think that it would not have needed such a "#provocation" / somehow different, "compatible", could have been implemented satisfactorily. Photography should also as art still remain (technically) "#explainable". Especially in times where we are already overchallenged with clumsy falsifications by #AI. I find myself abused in my sensations, at least "used", when I see something different than I expect.

“RRG has a large number of diverse human languages used to develop and improve its theory, going back to the 1980s — and a huge number of research papers supporting its model across languages and over time. ” — @[email protected] https://link.medium.com/DPctRvRiQvb #linguistics #explainable #nobias

“RRG has a large number of diverse human languages used to develop and improve its theory, going back to the 1980s — and a huge number of research papers supporting its model across languages and over time. ” — @[email protected] https://link.medium.com/DPctRvRiQvb #linguistics #explainable #nobias

#Fair and #Explainable #MachineLearning
https://opendatascience.com/fair-and-explainable-machine-learning/
#Bias

#Fair and #Explainable #MachineLearning
https://opendatascience.com/fair-and-explainable-machine-learning/
#Bias

Very cool paper on ML interpretability and explainability.
I was surprised I hadn't come across it before https://arxiv.org/abs/2012.01805

#machinelearning #ai #explainable #eth

Very cool paper on ML interpretability and explainability.
I was surprised I hadn't come across it before https://arxiv.org/abs/2012.01805

#machinelearning #ai #explainable #eth

MYTH #4: IT DOESN'T MATTER THAT #AI IS NOT #EXPLAINABLE, BECAUSE HUMANS DON'T ALWAYS EXPLAIN THEIR DECISIONS EITHER.

False: If a citizen wants to contest a decision, then the person making that decision must explain it. Most AI based on machine learning is not explainable(1/2)..

MYTH #4: IT DOESN'T MATTER THAT #AI IS NOT #EXPLAINABLE, BECAUSE HUMANS DON'T ALWAYS EXPLAIN THEIR DECISIONS EITHER.

False: If a citizen wants to contest a decision, then the person making that decision must explain it. Most AI based on machine learning is not explainable(1/2)..