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explainable ai

2,749 papers

#explainable ai Open access Oct 2026

A Clinical Prediction Model for Identifying a Nociplastic Pain Component: Development, Internal Validation, and Evaluation in a Tertiary Chronic Pain Cohort

This project will develop and internally validate a clinical prediction model that estimates the probability of a nociplastic pain component in adults with chronic pain. Nociplastic pain describes pain arising from altered nociception without clear evidence of tissue damage or a lesion or disease of the somatosensory s...

Jeremy Steen, Kishore Jaiswal, Dinesh Arun Kumbhare · 0 citations
#explainable ai Open access Oct 2026

An infinite family of non-star trees admitting Laplacian peak state transfer

Unrefereed AI-assisted preprint, version 0.2.2, 9 October 2026. No author affiliation is given. For each m >= 1, set q = m^2 + m + 1. Attach q intermediate vertices to a root and q - 1 leaves to each intermediate vertex. This produces infinitely many pairwise nonisomorphic non-star trees of order q^2 + 1, with root Lap...

Shunpei Shimizu · 0 citations
#explainable ai Open access Oct 2026

Who Gets the House? Related-Party Transfers and the Cash–Mortgage Price Gap in New York City

Repeat sales can hold a property fixed while comparing transactions with different financing labels. Using New York City deed and mortgage records for 2016–2025, the paper finds a house price contrast of 9.25 log points [7.17, 11.35] between purchases with and without a matched mortgage, after permit, institutional-sel...

Pablo Loschi · 0 citations
#explainable ai Open access Oct 2026

Local capital geometry for maxmin concavification (C73-17)

A local-capital-geometry characterization of equality between the informed-player maxmin and concavification at every prior. The additional Lean project formalizes the criterion using the nonrevealing lower value; its README explains the relationship to the complete-information game value and the manuscript's determina...

Ji Ho Bae · 0 citations
#explainable ai Review Open access Oct 2026

Trading privacy for personalisation: Ethical trust and high school students’ intention to use AI in education

Educational AI tools personalise learning by drawing on sensitive student data, yet the privacy calculus assumes that people can freely weigh benefits against risks and decline when risks dominate. This assumption is doubtful for adolescents, who have limited ability to scrutinise institutional data practices and littl...

Sowmya Eashwaran, Manojkrishnan Champettil, Jiya Vivek · 0 citations
#federated learning Open access Oct 2026

Agentic AI-Based Medical Data Governance and Trust Management

Due to increasing reliance on cloud, distributed computing platforms, electronic health records (EHRs), Internet of Medical Things (IoMT), and other modern information systems, secure medical data governance has become increasingly difficult for healthcare companies.Dynamic trust evaluation, independent policy enforcem...

Sunder Rajan · 0 citations
#diffusion models Open access Oct 2026

Artificial Intelligence and the Future of Finance: An Empirical Study of Adoption, Benefits and Challenges

Abstract The rapid integration of artificial intelligence (AI) into the financial sector has fundamentally transformed the way financial institutions operate, manage risk, and deliver services to customers. Despite the growing adoption of AI technologies across banking, insurance, and investment management, there remai...

Dr. Basukinath G Jha · 0 citations
#graph neural networks Open access Oct 2026

AI-Powered Healthcare Assistant with Drug Interaction Detection and Emergency Support

Modern healthcare delivery continues to be con-strained by fragmented digital tools, delayed diagnosis, unmoni-tored drug-drug interactions (DDIs), and insufficient emergency response mechanisms, particularly for users without direct spe-cialist access. This paper presents an AI-Powered Healthcare Assistant—an integrat...

Savara Gnan Prakash, Diwakar Nallappagari, Gangana Jashwanth Reddy et al. · 0 citations
#generative ai Review Open access Oct 2026

Artificial Intelligence, Foundation Models, and Digital Twins for Climate-Resilient Agriculture: A Review

Climate change, increasing food demand, and resource constraints are accelerating the transition from conventional precision agriculture toward smart, autonomous, and climate-resilient agricultural systems. Artificial intelligence (AI), foundation models, digital twins (DTs), the Internet of Things (IoT), remote sensin...

Krishan Kumar, A. Khatri, I. Thakur · 0 citations
#generative ai Open access Oct 2026

GENERATIVE ARTIFICIAL INTELLIGENCE AS A LEARNING PARTNER: OPPORTUNITIES AND LIMITS FOR DEVELOPING FUTURE TEACHERS' CRITICAL THINKING

Generative artificial intelligence is becoming part of university learning, but its educational value depends on how it is used. This conceptual article examines ways in which future teachers can use AI to ask questions, compare explanations, and check evidence rather than accept ready-made answers. A focused review of...

Fayzieva Dildora Khayotovna · 0 citations
#explainable ai Dataset Open access Oct 2026

BDMentalText: A Bangla Text Dataset for Depression Detection and Mental Health Sentiment Classification (V1)

BDMentalText V1 is a labeled Bangla (Bengali) text dataset for detecting depression-related language and classifying mental-health-related sentiment in a low-resource language. It contains 17,497 text samples in three classes: Depressive (6,368): texts expressing hopelessness, emotional distress, depressive feelings, o...

Abu Saim Hossen Hridoy, Nazmus Sakib Shohan, Nurul Mursalin Ag Mahin et al. · 0 citations
#data science Open access Oct 2026

*"GATE Data Science and Artificial Intelligence (DA) — Previous Year Papers with Solutions: A Comprehensive Guide to GATE 2024 and 2025 Question Papers, Detailed Solutions, Syllabus Overview, and Preparation Strategies for Aspirants"**

### Abbreviated Combined Title **"GATE Data Science and AI (DA) — Previous Year Papers with Solutions: A Comprehensive Guide for Aspirants"** ### Full Title with Subtitle Format **"GATE Data Science and Artificial Intelligence (DA) — Previous Year Papers with Solutions"** *Subtitle:* "A Comprehensive Guide to GATE 2024...

Sudhakar Geruganti · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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