Copertina

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zerkowski, Luis Vitor, Hirata, Nina S. T.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Human-Computer Interaction Computers and Society Machine Learning I.2.m
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Prompt Engineer: Analyzing Hard and Soft Skill Requirements in the AI Job Market
di: Vu, An, et al.
Pubblicazione: (2025)

Exploring the Applications of Generative AI in High School STEM Education
di: Masilamony, Ishaan
Pubblicazione: (2025)

Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks
di: Zerkowski, Luis Vitor, et al.
Pubblicazione: (2025)

Predicting change in time production -- A machine learning approach to time perception
di: Pednekar, Amrapali, et al.
Pubblicazione: (2024)

From Hubs to Deserts: Urban Cultural Accessibility Patterns with Explainable AI
di: Pranto, Protik Bose, et al.
Pubblicazione: (2025)

Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering
di: Oppenlaender, Jonas, et al.
Pubblicazione: (2023)

Perceived Fairness of the Machine Learning Development Process: Concept Scale Development
di: Mishra, Anoop, et al.
Pubblicazione: (2025)

Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems
di: Zhang, Zhaowei, et al.
Pubblicazione: (2024)

Looking Back, Moving Forward: A First-Person Perspective Of How Past Artificial Intelligence Encounters Shape Today's Creative Practice
di: Lewis, Makayla
Pubblicazione: (2024)

A Framework for Collaborating a Large Language Model Tool in Brainstorming for Triggering Creative Thoughts
di: Chang, Hung-Fu, et al.
Pubblicazione: (2024)

Who Explains Privacy Policies to Me? Embodied and Textual LLM-Powered Privacy Assistants in Virtual Reality
di: Freiberger, Vincent, et al.
Pubblicazione: (2026)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
di: Fidêncio, Aline Xavier, et al.
Pubblicazione: (2025)

Quantum est in Libris: Navigating Archives with GenAI, Uncovering Tension Between Preservation and Innovation
di: Sola, Mar Canet, et al.
Pubblicazione: (2025)

An Exploration of Default Images in Text-to-Image Generation
di: Simonen, Hannu, et al.
Pubblicazione: (2025)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
di: Thieme, Anja, et al.
Pubblicazione: (2024)

Toward Cyclic A.I. Modelling of Self-Regulated Learning: A Case Study with E-Learning Trace Data
di: Schwabe, Andrew, et al.
Pubblicazione: (2025)

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation
di: Bedmutha, Manas Satish, et al.
Pubblicazione: (2025)

BioEnvSense: A Human-Centred Security Framework for Preventing Behaviour-Driven Cyber Incidents
di: Ta, Duy Anh, et al.
Pubblicazione: (2026)

Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals
di: Havens, Lucy, et al.
Pubblicazione: (2025)

Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review
di: White, Brianna M, et al.
Pubblicazione: (2025)

WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
di: Burzer, Maximilian, et al.
Pubblicazione: (2025)

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations
di: Kałuża, Daniel, et al.
Pubblicazione: (2023)

Visualization of Unstructured Sports Data -- An Example of Cricket Short Text Commentary
di: Behera, Swarup Ranjan, et al.
Pubblicazione: (2024)

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains
di: Das, Arion, et al.
Pubblicazione: (2024)

Preserving Tangible and Intangible Cultural Heritage: the Cases of Volterra and Atari
di: Grzeszczuk, Maciej, et al.
Pubblicazione: (2024)

Evaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022
di: Kucherenko, Taras, et al.
Pubblicazione: (2023)

Human-Aligned Calibration for AI-Assisted Decision Making
di: Benz, Nina L. Corvelo, et al.
Pubblicazione: (2023)

Archiverse: an Approach for Immersive Cultural Heritage
di: Kopeć, Wieslaw, et al.
Pubblicazione: (2025)

Helping Johnny Make Sense of Privacy Policies with LLMs
di: Freiberger, Vincent, et al.
Pubblicazione: (2025)

FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness
di: Behzad, Tina, et al.
Pubblicazione: (2025)

Grand Challenges in Immersive Technologies for Cultural Heritage
di: Wang, Hanbing, et al.
Pubblicazione: (2024)

Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
di: Ferreira, Juliett Suárez, et al.
Pubblicazione: (2025)

The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools
di: Kuehnert, Blaine, et al.
Pubblicazione: (2025)

Talking Back -- human input and explanations to interactive AI systems
di: Dix, Alan, et al.
Pubblicazione: (2025)

BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation
di: Anastasiou, Lucas, et al.
Pubblicazione: (2025)

Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale
di: Oppenlaender, Jonas, et al.
Pubblicazione: (2023)

Impact of a Deployed LLM Survey Creation Tool through the IS Success Model
di: Jiang, Peng, et al.
Pubblicazione: (2025)

AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
di: Weitekamp, Daniel, et al.
Pubblicazione: (2024)

User-Centric AI Analytics for Chronic Health Conditions Management
di: Ayesh, Aladdin
Pubblicazione: (2024)

On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments
di: Fang, Jingchao, et al.
Pubblicazione: (2024)