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Advancing Out-of-Distribution Detection Across Diverse Scenarios

Proceedings of the AAAI Conference on Artificial Intelligence
The safe deployment of artificial intelligence systems hinges on their ability to recognize and appropriately handle inputs they have not been trained for. Out-of-Distribution (OOD) detection aims to provide this capability, yet most existing methods are developed under idealized assumptions that do not hold in the real world.
openaire   +1 more source

Train timetabling in rail transit network under uncertain and dynamic demand using Advanced and Adaptive NSGA-II

Transportation Research Part B: Methodological, 2021
Baoming Han, Zhenyu Han, Dewei Li
exaly  

Management of advanced melanoma in the current era: A medical oncology perspective for the Indian scenario

The National Medical Journal of India, 2020
Deepam Pushpam   +2 more
exaly  

Advanced life support cardiac arrest scenario test evaluation

Resuscitation, 2007
Nigel Stallard   +2 more
exaly  

Integrated municipal solid waste scenario model using advanced pretreatment and waste to energy processes

Energy Conversion and Management, 2013
Cosmin Marculescu   +2 more
exaly  

Session details: Advanced web scenarios

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2009
openaire   +1 more source

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