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explainable ai

2,280 papers

#explainable ai Open access Sep 2026

Acceptance of Artificial-Intelligence Chatbots for Support with Depressive Symptoms: The Predictive Primacy of Perceived Usefulness Over Well-Being

Artificial-intelligence (AI) chatbots are increasingly proposed as low-threshold instruments for supporting peoplewith depressive symptoms, yet it remains unclear whether their acceptance is governed by users’ psychological needor by instrumental appraisal. Drawing on the Technology Acceptance Model, the present study...

Sora Pazer · 0 citations
#explainable ai Book Open access Sep 2026

THE EL-RAKHAWI SOVEREIGN HEALTH PROTOCOL Electronic Health Records and Post-Quantum Defense in the Age of Medical AI Il Protocollo El-Rakhawi Sanitario Sovrano: Fascicolo Sanitario Elettronico e Difesa Post-Quantica nell'Era dell'IA Medica

"The El-Rakhawi Sovereign Health Protocol" by Dr. Mohamed Kamal Arafa Elrakhawi establishes a foundational framework for digital health sovereignty. It asserts medical data is a sovereign extension of the human body, not a corporate asset. The Protocol mandates four pillars: absolute patient ownership via cryptographic...

mohamed kamal arafa el-rakhawi · 0 citations
#explainable ai Dataset Open access Sep 2026

Database of Byzantine Book Epigrams - Archive

This dataset is an extension of the publication of the Database of Byzantine Book Epigrams (2023). The 2023 publication is a copy of the data used for the live application on dbbe.ugent.be. The present dataset aims to offer a simplified structure of the DBBE data, facilitating computational research and data analysis....

Kristoffel Demoen, Sofia Belioti, Gilbert Bentein et al. · 0 citations
#explainable ai Open access Sep 2026

Acceptance of Artificial-Intelligence Chatbots for Support with Depressive Symptoms: The Predictive Primacy of Perceived Usefulness Over Well-Being

Artificial-intelligence (AI) chatbots are increasingly proposed as low-threshold instruments for supporting peoplewith depressive symptoms, yet it remains unclear whether their acceptance is governed by users’ psychological needor by instrumental appraisal. Drawing on the Technology Acceptance Model, the present study...

Sora Pazer · 0 citations
#explainable ai Open access Sep 2026

GoHumanize Open Humanizer: an open text-humanization model, dataset and pipeline built from public-domain data

The GoHumanize Open Humanizer is a public research and educational model: a Qwen3-4B fine-tune (QLoRA) that rewrites AI-styled English prose into more natural human writing. This record archives the complete pipeline (Project Gutenberg sourcing and cleaning, AI-fication of inputs with three generators, training, evalua...

GoHumanize team · 0 citations
#explainable ai Open access Sep 2026

Privacy-preserving intrusion detection in mobile edge networks via federated adaptive probabilistic stacking with clan–flock optimisation and explainable AI

Mobile edge networks require intrusion detection systems (IDS) that are private, accurate and interpretable. We present FedAPS–CFO, a federated IDS coupling four mechanisms: prediction-level federated averaging (FedAvg), so raw traffic never leaves the edge; an Adaptive Probabilistic Stacking (APS) ensemble fusing a st...

Joshitha N., D. P., Helen Sharmila A. · 0 citations
#explainable ai Open access Sep 2026

AnCiR: Analysis of Chronobiological Rhythms

AnCiR is a graphical, no-coding tool for the analysis of chronobiological rhythms and other time-series data. It provides periodicity detection (Sokolove–Bushell χ2, Enright, Lomb–Scargle, FFT), cosinor and harmonic-cosinor fitting, non-parametric circadian rhythm analysis (IS, IV, RA, M10, L5), circular statistics, co...

David Cumin · 0 citations
#explainable ai Open access Sep 2026

Three-Dimensional Integral Balance and Diffusive-Advective Transport: An Executable Code-to-Mathematics Equivalence Audit

Version 2.0.0 of the independent 3D-FIELD technical note. This release translates the sparse-polynomial Python implementation into conventional mathematics over Q[x,y,z,t] and explains the original six rational-arithmetic fixture checks step by step. Four further exact checks cover the Leibniz rule, the fundamental the...

Riccardo Giudici · 0 citations
#explainable ai Open access Sep 2026

Adaptive multidimensional rebalancing for customer churn prediction in marketing analytics

This study proposes the Adaptive Multidimensional Rebalancing (AMR) framework, a framework that dynamically evaluates the local topological structure of the feature space, specifically local density, class overlap, and feature variability, to adap-tively allocate synthetic minority samples.

Ahmad Cahyono Adi, Surya Arafah, Beatrix Ayuwandira Dabur et al. · 0 citations
#explainable ai Open access Sep 2026

Three-Dimensional Integral Balance and Diffusive-Advective Transport: An Executable Code-to-Mathematics Equivalence Audit

Version 2.0.0 of the independent 3D-FIELD technical note. This release translates the sparse-polynomial Python implementation into conventional mathematics over Q[x,y,z,t] and explains the original six rational-arithmetic fixture checks step by step. Four further exact checks cover the Leibniz rule, the fundamental the...

Riccardo Giudici · 0 citations
#generative ai Open access Sep 2026

Artificial Intelligence-Assisted Herbal Formulation Development: From Phytochemical Intelligence to Predictive Nanodelivery and Precision Phytotherapy

Herbal medicines constitute a chemically diverse source of bioactive molecules and remain important components of traditional and complementary healthcare systems. However, the development of reproducible pharmaceutical formulations from herbal materials is complicated by variability in botanical identity, geographical...

Alisha Jabi1*, Deepika Shakya2, Priti Yadav3 · 0 citations
#generative ai Open access Sep 2026

Structured PREreview of "Automating Business Intelligence Requirements with Generative AI and Semantic Search"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22877617. Does the introduction explain the objective of the research presented in the preprint? Yes Yes. The introduction explicitly explains the objective of the resear...

Amarpreet Bassan · 0 citations

From tech blogs

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Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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