Results 61 to 70 of about 78,288 (166)

Introducing Geo-Glocal Explainable Artificial Intelligence

IEEE Access
Geospatial use cases involve data with a geospatial and a temporal dimension. Machine learning is applied to such use cases for tasks such as prediction and classification.
Cedric Roussel, Klaus Bohm
doaj   +1 more source

Explainable Artificial Intelligence: a Systematic Review

CoRR, 2020
Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few years. This is due to the widespread application of machine learning, particularly deep learning, that has led to the development of highly accurate models but lack explainability and interpretability.
Vilone, G., Longo, L.
openaire   +3 more sources

Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS

Scientific Reports
Chronic kidney disease is a persistent ailment marked by the gradual decline of kidney function. Its classification primarily relies on the estimated glomerular filtration rate and the existence of kidney damage.
Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed   +2 more
doaj   +1 more source

Scene-centric Joint Parsing of Cross-view Videos

, 2018
Cross-view video understanding is an important yet under-explored area in computer vision. In this paper, we introduce a joint parsing framework that integrates view-centric proposals into scene-centric parse graphs that represent a coherent scene ...
Qi, Hang, Wu, Tianfu, Xu, Yuanlu, Yuan, Tao, Zhu, Song-Chun   +4 more
core   +1 more source

Corrections to “An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning”

IEEE Access
Presents corrections to the paper, An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning.
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, Tushar Nayak, Sushma Belurkar, Kavitha Saravu   +5 more
doaj   +1 more source

An overview of artificial intelligence in the field of genomics

Discover Artificial Intelligence
Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional machine-learning approaches have been used to understand the dynamics of genetic data.
Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet   +2 more
doaj   +1 more source

Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence.

PLoS ONE
Accurate electricity consumption forecasting in residential buildings has a direct impact on energy efficiency and cost management, making it a critical component of sustainable energy practices.
Jihoon Moon, Muazzam Maqsood, Dayeong So, Sung Wook Baik, Seungmin Rho, Yunyoung Nam   +5 more
doaj   +1 more source

The application of explainable artificial intelligence methods to models for automatic creativity assessment

Frontiers in Artificial Intelligence
ObjectiveThe study is devoted to comparing various models based on Artificial Intelligence to determine the level of creativity based on drawings performed using the Urban test, as well as analyzing the results of applying explainable artificial ...
Anastasia S. Panfilova, Ekaterina A. Valueva, Ekaterina A. Valueva, Ivan Y. Ilyin   +3 more
doaj   +1 more source

Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production

mSystems
The increasing knowledge of microbial ecology in food products relating to quality and safety and the established usefulness of machine learning algorithms for anomaly detection in multiple scenarios suggests that the application of microbiome data in ...
Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda   +9 more
doaj   +1 more source

Explainable Artificial Intelligence: Advancements and Limitations

Applied Sciences
Explainable artificial intelligence (XAI) has emerged as a crucial field for understanding and interpreting the decisions of complex machine learning models, particularly deep neural networks.
Halil Ibrahim Aysel, Xiaohao Cai, Adam Prugel-Bennett   +2 more
doaj   +1 more source