Results 31 to 40 of about 55,142 (282)
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Diagnostics, 2023 Advances in artificial intelligence (AI), especially deep learning (DL), have facilitated magnetic resonance imaging (MRI) data analysis, enabling AI-assisted medical image diagnoses and prognoses.
Jinzhao Qian +3 more
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The Spectrum of Goldstini and Modulini [PDF]
, 2011 When supersymmetry is broken in multiple sectors via independent dynamics, the theory furnishes a corresponding multiplicity of "goldstini" degrees of freedom which may play a substantial role in collider phenomenology and cosmology.
AB Lahanas +30 more
core +4 more sources
AI MagazineAbstractResearchers focusing on how artificial intelligence (AI) methods explain their decisions often discuss controversies and limitations. Some even assert that most publications offer little to no valuable contributions. In this article, we substantiate the claim that explainable AI (XAI) is in trouble by describing and illustrating four problems ...
Rosina O. Weber +3 more
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Understanding Food Security and Hunger in Xai-Xai, Mozambique
, 2022 AbstractThe cyclical alternation of drought, cyclones and floods threaten food security for households in rapidly growing coastal cities such as Xai-Xai, Mozambique. Inhabitants of Xai-Xai are highly dependent on urban subsistence agriculture and informal markets in order to guarantee food for their households.
Inês Macamo Raimundo, Mary Caesar
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Feature Importance in Machine Learning with Explainable Artificial Intelligence (XAI) for Rainfall Prediction [PDF]
ITM Web of ConferencesPrecipitation expectation is a pivotal subject for the administration of water assets and counteraction of hydrological calamities. To make a precipitation forecast and find the essential elements influencing precipitation, this study presents a logical ...
Patel Mehul, Shah Ankit
doaj +1 more source
Quantum Theory from Quantum Gravity
, 2003 We provide a mechanism by which, from a background independent model with no quantum mechanics, quantum theory arises in the same limit in which spatial properties appear.
C. Rovelli +5 more
core +3 more sources
Designer-User Communication for XAI: An epistemological approach to discuss XAI design
CoRR, 2021 Artificial Intelligence is becoming part of any technology we use nowadays. If the AI informs people's decisions, the explanation about AI's outcomes, results, and behavior becomes a necessary capability. However, the discussion of XAI features with various stakeholders is not a trivial task.
Juliana Jansen Ferreira +1 more
openaire +2 more sources
The Grammar of Interactive Explanatory Model Analysis
, 2021 The growing need for in-depth analysis of predictive models leads to a series of new methods for explaining their local and global properties. Which of these methods is the best? It turns out that this is an ill-posed question.
Baniecki, Hubert, Biecek, Przemyslaw
core
Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM
Кібернетика та комп'ютерні технологіїIntroduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, one of the major
Vladyslav Yavtukhovskyi +1 more
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Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Diagnostics, 2022 In recent years, artificial intelligence (AI) has shown great promise in medicine. However, explainability issues make AI applications in clinical usages difficult.
Yiming Zhang, Ying Weng, Jonathan Lund
doaj +1 more source