Comparison of SHAP and Grad-CAM attribution maps confirms clinically coherent disease-specific localisation, and reveals monotonic performance degradation, identifying minimal regularisation as optimal for multi-label medical imaging.
S. Arumugam, A. Sindhu, M. N. Saroja et al.· Machine-mediated learning· 0 citations
Grid-connected wind turbine generators (WTGs) may induce sub-synchronous oscillations (SSOs) in a power system. Due to the difficulty to gain the detailed parameters of the WTGs in practice, data-driven AI method is considered to be a potential solution to identify the trouble-making WTGs (or SSO sources) in the power...
Peili Liu, Wen-Juan Du, Qiang Fu et al.· IEEE Transactions on Sustain...· 2 citations
This work draws on semi-structured interviews with 71 LLM practitioners to examine the knowledge required to produce responsible LLM systems, and how practitioners acquire it within LLM supply chains, and synthesizes knowledge needs into a multi-dimensional taxonomy that characterizes knowledge based on its abstraction...
Agathe Balayn, Fanny Rancourt, Fabio Casati et al.· Proceedings of the ACM on Hu...· 0 citations
It is found that saliency maps function as underspecified, indexical sign systems that often conflict with radiological semiology, suggesting that explainability emerges as a sociotechnical accomplishment, with implications for the design of interactive, practice-aligned XAI systems.
Federico Cabitza, Enrico Gallazzi, Alessia Papale· Proceedings of the ACM on Hu...· 0 citations
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GiriNeoSeizure™ CDSS is a single-file, offline, interactive clinical decision-support system for neonatal seizures. It is part of the NeonatAIlogy™ series in the GAIR Innovation Registry and is governed by the GIRISH™ Prompting Architecture. The tool turns the 2023 ILAE Task Force guideline, Cochrane evidence on antise...
Girish Gupta· Zenodo (CERN European Organi...· 0 citations
This study aims to examine how older consumers interpret artificial intelligence (AI) disclosure when evaluating the trustworthiness of AI-generated advertising across utilitarian and hedonic service contexts and explores the role of relatability in these evaluations.
A qualitative study was conducted using...
Neeru Sharma, J. Fatima, Sabreena Zoha· Journal of Services Marketin...· 0 citations
Abstract: Colorectal histological texture classification requires models capable of distinguishing visually similar tissue patterns while maintaining reliable predictive performance. We developed ColoNet as an integrated classification framework that combines Denoising Convolutional Neural Network (DnCNN)-based preproc...
Javad Hassannataj Joloudari, Ali Abbaszadeh Sori, Behnam Barzegar et al.· Zenodo (CERN European Organi...· 0 citations
Alzheimer's disease can be difficult to detect early, which restricts timely diagnosis and treatment options. In this work, we present a practical method for identifying and staging Alzheimer's disease that combines regularly recorded clinical symptoms with brain imaging. By employing explainable artificial intelligenc...
J.Bindhu Bhargavi· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is increasingly embedded in tourism service work, yet the presence or use of AI does not by itself explain how employees convert machine-generated information into innovative service responses. This study develops and tests a conditional-process model in which Human–AI Collaboration (HAIC)...
Ambili G. R. Kuniyel, Uma Devi N.· International Journal For Mu...· 0 citations
[0.1.0-beta.7] — 2026-09-23 Largest release so far: 102 commits, 218 files changed, +21,760 / −149. Headline features are full UTF-8/RTL/Arabic shaping support, a theme system with 10 built-in themes, an optional-plugin system, a Lua test suite, Docker images, and a complete documentation website. The beta cycle contin...
Genix, rxi, Kasra M. Hosseini et al.· Zenodo (CERN European Organi...· 0 citations
Individual retail investors often exhibit emotional trading patterns—fear of missing out, panic selling, revenge trading, and overconfidence—that systematically erode long-term performance. Despite the availability of sophisticated analytical tools on modern trading platforms, few systems offer direct feedback on the u...
Hana Haseeb, Prof. Asha P V, Gulam Shabbir Khan et al.· Zenodo (CERN European Organi...· 0 citations
Individual retail investors often exhibit emotional trading patterns—fear of missing out, panic selling, revenge trading, and overconfidence—that systematically erode long-term performance. Despite the availability of sophisticated analytical tools on modern trading platforms, few systems offer direct feedback on the u...
Hana Haseeb, Prof. Asha P V, Gulam Shabbir Khan et al.· Zenodo (CERN European Organi...· 0 citations
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
