Results 51 to 60 of about 2,085,409 (278)

A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques

IEEE Access, 2021
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual support, healthcare, and security.
Mobeen Nazar, Muhammad Mansoor Alam, Eiad Yafi, Mazliham Mohd Su'ud   +3 more
doaj   +1 more source

Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model.

Science of the Total Environment, 2023
One of the worst environmental catastrophes that endanger the Australian community is wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and identify fire susceptibility in wildfire-prone regions.
Abolfazl Abdollahi, B. Pradhan
semanticscholar   +1 more source

Explainable Artificial Intelligence in Healthcare: XAI-Healthcare 2021 [PDF]

, 2021
XAI-Healthcare event provided a place for intensive discussion on all aspects of eXplainable Arti cial Intelligence (XAI) in the medical and healthcare  eld.
Juarez, Jose M., Stiglic, Gregor, Zhengxing, Huang, Verbert, Katrien   +3 more
core  

Potential Applications of Explainable Artificial Intelligence to Actuarial Problems

Mathematics
Explainable artificial intelligence (XAI) is a group of techniques and evaluations that allows users to understand artificial intelligence knowledge and increase the reliability of the results produced using artificial intelligence.
Catalina Lozano-Murcia, Francisco P. Romero, Jesus Serrano-Guerrero, Arturo Peralta, Jose A. Olivas   +4 more
doaj   +1 more source

Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0

ICT Express
Explainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to fifth industrial revolution, providing transparency and fostering user confidence in Artificial Intelligence (AI) powered systems.
Konstantinos Nikiforidis, Alkiviadis Kyrtsoglou, Thanasis Vafeiadis, Thanasis Kotsiopoulos, Alexandros Nizamis, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras, Panagiotis Sarigiannidis   +8 more
doaj   +1 more source

Face Aging by Explainable Conditional Adversarial Autoencoders

Journal of Imaging, 2023
This paper deals with Generative Adversarial Networks (GANs) applied to face aging. An explainable face aging framework is proposed that builds on a well-known face aging approach, namely the Conditional Adversarial Autoencoder (CAAE).
Christos Korgialas, Evangelia Pantraki, Angeliki Bolari, Martha Sotiroudi, Constantine Kotropoulos   +4 more
doaj   +1 more source

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

, 2023
Currently, artificial intelligence is facing several problems with its practical implementation in various application domains. The explainability of advanced artificial intelligence algorithms is a topic of paramount importance, and many discussions ...
Ioannis D. Apostolopoulos, Peter P. Groumpos   +1 more
core   +1 more source

Explainable Artificial Intelligence in Echocardiography [PDF]

Advanced Ultrasound in Diagnosis and Therapy
Recent advancements in artificial intelligence (AI) have generated novel opportunities and challenges in ultrasound imaging. Deep learning algorithms exhibit significant potential in analyzing echocardiographic images, encompassing tasks such as view ...
Hu Xuelin, Zhu Ye, Zhang Zisang, Quan Yuanting, Chen Wenwen, Chen Leichong, Xu Guangyu, Qin Luning, Xie Mingxing, Zhang Li
doaj   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

Integrasi Explainable Artificial Intelligence (XAI) pada WebGIS untuk Audit Kepatuhan Ruang Terbuka Hijau di Provinsi Lampung

Jurnal Komputer Terapan
Percepatan pembangunan di Provinsi Lampung telah mendorong alih fungsi lahan yang signifikan, yang berdampak pada penurunan daya dukung lingkungan dan ketidakpatuhan terhadap proporsi minimal Ruang Terbuka Hijau (RTH).
Fiqih Satria, M Husaini
doaj   +1 more source