Results 91 to 100 of about 29,455 (191)

XAI and Android Malware Models

Android malware detection based on machine learning (ML) and deep learning (DL) models is widely used for mobile device security. Such models offer benefits in terms of detection accuracy and efficiency, but it is often difficult to understand how such learning models make decisions. As a result, these popular malware detection strategies are generally
Maithili Kulkarni, Mark Stamp
openaire   +3 more sources

/xai/xai School; Ju/hoan Children Outdoors Closeup

, 1980
/xai/xai ...
Lee, Richard B.
core   +2 more sources

Learning human aligned explanations through supervised aggregation of XAI methods for Arabic sentiment analysis

Discover Artificial Intelligence
Explainable Artificial Intelligence (XAI) aims to make complex AI models more transparent by revealing how their predictions are made. However, XAI methods such as LIME and SHAP often yield inconsistent results, as each captures different aspects of ...
Youssef Chafiqui, Houda Anoun
doaj   +1 more source

Mother and Child at /xai/xai School (Probably a Teacher)

, 1980
/xai/xai ...
Lee, Richard B.
core   +2 more sources

XAI-driven Data Mining for Self-defending IoT Systems: Enhancing Cybersecurity Transparency in the Age of Smart Cities

The rapid expansion of Internet of Things (IoT) technologies in smart cities, healthcare, and industrial automation has intensified the need for cybersecurity frameworks capable of operating at scale and in real time under increasingly sophisticated ...
Asim Zeb (12542797), Taj Rahman (20077518), Mahmoud Ahmad Al-Khasawneh (24121761), Ali Kashif Bashir (23881944), Fida Muhammad Khan (22139049), Yousef Ibrahim Daradkeh (20558891), Inam Ullah (5227166), Isma Farah Siddiqui (24054870)   +7 more
core  

AI Competency and Perception of XAI Importance Versus Attitude Toward AI: Mediating Effects of Belief in XAI Availability

Advances in Human-Computer Interaction
In this research, we hypothesize that attitudes toward artificial intelligence (AI) are shaped by individuals’ perceived competence in using and managing it, as well as their assessment of the importance of AI’s understandability and transparency, often ...
M. Liebherr, A. Babiker, S. AlShakhsi, D. Al-Thani, C. Montag, R. Ali   +5 more
doaj   +1 more source

/xai/xai School; Excellent Group Shot (Majority Ju Students) 3

, 1980
/xai/xai ...
Lee, Richard B.
core   +1 more source

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Nature Communications
Artificial intelligence (AI) systems have been shown to help dermatologists diagnose melanoma more accurately, however they lack transparency, hindering user acceptance.
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, İrem Özdemir, Raymond L. Barnhill, Mar Llamas-Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Reader Study Consortium, Titus J. Brinker   +35 more
doaj   +1 more source

XAI In Fraud Detection: A Causal Perspective

Abstract Fraud detection systems powered by machine learning (ML) often lack transparency, raising concerns about trustworthiness and interpretability. While Explainable AI (XAI) addresses these issues, many methods rely on correlation rather than causation, potentially overlooking true fraud patterns.
Katiuscka van Veen, Faizan Ahmed, Maurice van Keulen   +2 more
openaire   +1 more source

Process optimization with rule-learning explainable AI, and its application to MRI scanning. [PDF]

PLoS One
Hartmann S, Sharp A, Johnston H, Gee MS, Huang SY, Harisinghani MG, Gühring J, Lo WC, Deshpande V, Pianykh OS.   +9 more
europepmc   +1 more source