Results 231 to 240 of about 24,617 (284)

Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis. [PDF]

Scand J Trauma Resusc Emerg Med
Fındık M.
europepmc   +1 more source

Transforming customer experience in social robotics through explainable and interpretable artificial intelligence over a decade. [PDF]

Front Robot AI
Arora AS, Arora A, McIntyre JR.
europepmc   +1 more source

Explainable AI for critical care: a systematic review of interpretable models for sepsis and ICU mortality prediction. [PDF]

BMC Med Inform Decis Mak
Athukorala VS, Ilmini WMKS.
europepmc   +1 more source

Decoding the "black-box": explainable artificial intelligence towards trustworthy advancement in respiratory medicine. [PDF]

Breathe (Sheff)
Marchi G.
europepmc   +1 more source

EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) IN LIFE SCIENCES: NAVIGATING THE PATH TO CLINICAL TRUST

Kabir G Kharade and K. Vengatesan Nilesh S Kulkarni
openalex   +1 more source

Explainable AI Approaches in Federated Learning: Systematic Review. [PDF]

JMIR AI
Tunduny T, Shibwabo B.
europepmc   +1 more source

Application of explainable artificial intelligence integrating with electronic health record in oncology. [PDF]

Explor Target Antitumor Ther
Yang Y, Liu X.
europepmc   +1 more source

Reflections on explainable artificial intelligence for predicting dengue outbreaks in Bangladesh. [PDF]

Glob Epidemiol
Rahman MS, Shiddik MAB.
europepmc   +1 more source

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Explainable Artificial Intelligence (XAI)

Journal of Nonlinear Analysis and Optimization, 2023
Explainable Artificial Intelligence (XAI) has emerged as a critical facet in the realm of machine learning and artificial intelligence, responding to the increasing complexity of models, particularly deep neural networks, and the subsequent need for transparent decision making processes.
Ranu Sewada, Ashwani Jangid, Piyush Kumar, Neha Mishra   +3 more
openaire   +2 more sources

Explainable Artificial Intelligence (XAI) for IoT

2023
Artificial Intelligence and Machine Learning are the latest topics across industries. A lot of concentration has been given to these areas and still the adoption has been challenged by users and experts in this field in the search for some kind of solution to be provided that the output can be trusted by all.
Prashant C. Dhas, Parikshit N. Mahalle, Gitanjali R. Shinde   +2 more
openaire   +1 more source