Results 131 to 140 of about 24,617 (284)

Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine. [PDF]

Online J Public Health Inform, 2023
Gniadek T, Kang J, Theparee T, Krive J.
europepmc   +1 more source

Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models [PDF]

, 2021
Przemysław Biecek, Marcin Chlebuś, Janusz Gajda, Alicja Gosiewska, Anna Kozak, Dominik Ogonowski, Jakub Sztachelski, Piotr Wojewnik   +7 more
openalex   +1 more source

Comparability between AI and human cognition and its role in psychological research and AI ethics

British Journal of Psychology, EarlyView.
Abstract With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and interactions with humans.
Janet H. Hsiao
wiley   +1 more source

SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data

IEEE Access
Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI models work as a black-box, making it challenging to provide reasoning behind their judgments in a Log Anomaly Detection (LAD).
Kashif Alam, Kashif Kifayat, Gabriel Avelino Sampedro, Vincent Karovic, Tariq Naeem   +4 more
doaj   +1 more source

Beauty is in the explainable artificial intelligence (XAI) of the "agnostic" beholder. [PDF]

Transl Cancer Res, 2023
Laios A, De Jong D, Kalampokis E.
europepmc   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

The Role of Explainable Artificial Intelligence (XAI) in Enhancing Strategic Decision-Making: A Mixed-Methods Approach Across Industries [PDF]

Mojtaba Ghorbani Asiabar, Morteza Ghorbani Asiabar, Alireza Ghorbani Asiabar   +2 more
openalex   +1 more source

Machine Learning Approach Enables Highly Accurate Identification of At‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Hepatology Research, EarlyView.
ABSTRACT Aim At‐risk metabolic dysfunction‐associated steatohepatitis (MASH), characterized by significant activity and fibrosis, increases the risk of liver complications. Liver stiffness measurement (LSM), commonly used to detect significant fibrosis, has limitations in terms of accessibility and performance in certain populations.
Masaya Sato, Takuma Nakatsuka, Tatsuya Minami, Yotaro Kudo, Rie Irie, Hanako Tsujikawa, Takumi Kawaguchi, Hirokazu Takahashi, Yuichiro Eguchi, Eisuke Murakami, Kazuaki Chayama, Takeshi Okanoue, Michiie Sakamoto, Mitsuhiro Fujishiro, Kazuhiko Koike, Ryosuke Tateishi   +15 more
wiley   +1 more source

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

IEEE Access
Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous vehicles (AVs) promises safer and more ecologically friendly ...
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel   +3 more
doaj   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source